Set and Drift – Estimating Future Income from the Portfolio

IMG_20190120_114306_953
Cultivate an asset which the passing of time itself improves.
Seneca, Letters XV

The focus of the voyage to financial independence so far has been designing the portfolio, and measuring the distance still to travel. There is more basic question to be asked as the journey progresses – will the portfolio produce the income targets set for it, or will something need to change?

Currently, the income estimates from the portfolio targets – $67 000 from a short-term target of around $1.6 million and $83 000 from a target of around $2.0 million in several years – are set on an assumption of a total portfolio return of 4.19 per cent.

That does not mean, however, that the portfolio will simply automatically produce an income of that level. Just pointing the ship in the direction of travel is not enough. This is because the total return assumes both capital growth and distributions or interest.

This analysis examines what income the portfolio is likely to produce when the targets are achieved, and assesses whether or not selling down or changing the portfolio in other ways to meet the income goals may be necessary.

To answer this question, history and three different methods of estimating the potential income produced by the portfolio are reviewed.

Approach #1 – Navigation by landmarks

The first approach is to simply use what is already known to establish one’s position.

Previous analyses have discussed the overall trends in portfolio distributions, and reached some approximate estimates of the likely underlying level of distributions. These estimates differ according to the precise method chosen, and time period considered. So far, these analyses have established that the portfolio appears to be generating between:

  • $5 000 per month or $60 000 per year, if an approach where the moving average of the past three years of distributions is used; or
  • $3 800 per month or $45 000 per year, if a conservative approach of an average of the past four years of distributions is applied.

This is healthy progress, however, both of these figures are short of the Objective #1 income requirement of $67 000 per year (or $5600 per month), and even further from the projection of $83 000 (or $6 900 per month) under Objective #2.

Will the future look like the past?

These historical figures are useful because they are real data based on holdings in the actual portfolio. Their disadvantages are that they are backward-looking. This has two possible impacts.

  • First, the growth of more than 50 per cent in the total portfolio size over even the past three years means that the level of historical distributions will underestimate the income generation potential from the now larger portfolio. In short, this is like trying to estimate interest from a bank account by looking at your balance three years ago.
  • Second, the distributions of three or four years ago will reflect past asset allocations, and investment products.  As an example of this, two years ago the portfolio contained over $55 000 invested in Ratesetter’s peer to peer lending platform. This was earning an average income return of 9.1 per cent. Today, Ratesetter is less than half of this size, due to a slow asset reallocation process and withdrawals as loans mature.

This suggests a purely backward view of the actual achieved distributions may be incomplete and misleading.

Taking an average distribution rate approach

The other potential way of estimating the income return of the portfolio is to use the average distribution rate of the portfolio in the past.

The rate is calculated as total distributions over a defined period divided by the average portfolio level over the same period.

This eliminates any errors from the first impact discussed above of growing portfolio growth size, as it is a rate rather than a level measure. It does not eliminate the second impact. For example, higher interest rates meant that cash holdings in 2013-14 could make up over third of total distributions, a position not likely to reoccur in the short or even medium term.

Yet it still may be an approximate guide because while overall portfolio asset allocation has shifted in the past two and half years, it has remained within some broad bounds. As an example, total equity holdings were at 70 per cent of the portfolio both 5 and 10 years ago. Additionally, using a median long-term average of 4.4 per cent will tend to reduce the impact of one-off changes and outlier data points.

As established in Wind in the Sails the average distribution rate over the past two decades has been around 4.4 per cent.

SAD Dist AverageThis implies that the portfolio would produce:

  • $5 900 per month or $70 300 per annum income when the portfolio is at Objective #1 (e.g. this suggests that the target income at Objective #1 would be met, with around $3 000 to ‘spare’).
  • $7 300 per month or $87 100 per annum income when the portfolio is at Objective #2 (e.g. as above it suggests meeting Objective #2 would produce around $4 000 more income than actually targeted).

An interesting implication of this is that the portfolio has been producing distributions (at 4.4 per cent) at a rate that is higher than the overall rate of assumed long-term total return (around 4.2 per cent).

This is consistent with the fact that the Vanguard funds, and to some extent shares and other ETFs have been realising and distributing capital growth, not just income. This means that if I truly believe my long-term total return forecast is more accurate than the distributions estimate, I would need to re-invest the difference, to ensure I was not drawing down the portfolio at a higher rate than intended.

Approach #2 – Navigation by ‘dead reckoning’

A different approach to reaching an income estimate from the portfolio is to forget about the actual history of the portfolio, and look to what the record shows about the average distribution rate from the asset classes themselves.

That is, to construct an hypothetical estimate of what the portfolio should produce, based on external historical data on average income from the individual portfolio components of Australian shares, international shares, and fixed interest.

To do this, estimates of the long-term income generated by each of the asset classes in the portfolio are needed. For this ‘dead reckoning approach’ I have used the following estimates.

Table 1 – Asset class and portfolio income assumptions

Asset class Allocation Estimated income Source
Australian shares 45% 4.0% RBA, 1995-2019, May Chart Pack
International shares 30% 2.0% RBA, 1995-2019, May Chart Pack
Bonds 15% 1.0% Dimson, Marsh and Staunton Triumph of the Optimists 101 Years of Global Investment Returns, Table 6.1
Gold/Bitcoin 10% 0% N/A
Total portfolio 100% 2.55%

This analysis suggests that at the target allocation for the portfolio, based on long-term historical data, it should produce an income return of around 2.6%.

This equates to:

  • $3 400 per month or $40 700 per year when the portfolio is at Objective #1
  • $4 200 per month or $50 500 per year when the portfolio is at Objective #2

These figures are also well short of the income needs set, and so imply a need to sell down assets significantly to capture some of the portfolio’s capital growth.

Abstractions and obstructions

Of course these figures are highly averaged and make some simplifications. Year to year management will not benefit from such stylised and smooth average returns. Income will be subject to large variations in distribution levels and capital growth will vary across asset classes and individual holdings.

Another simplification is that is analysis does not include the value of franking credits. If it is assumed that Australian equities continued to pay out their historical level of dividends, and the franking credit rate remains at the historical average of around 70 per cent then Australian shares dividends should yield closer to 5.2 per cent, lifting the total income return of the portfolio to around 3.1 per cent. In turn, this would marginally reduce the capital sell-down required. Adjusting for this impact means the portfolio income would be $4100 per month at Objective #1, and $5100 per month Objective #2

Yet these assumptions can be challenged. It is possible that the overall dividend yield of the Australian market will fall and converge with other markets. This would be particularly likely to happen if further changes to dividend imputations or the treatment franking credits to occur. It could also occur due to a maturing and deepening of Australian equity markets and domestic investment opportunities available to Australian firms. Shorter term, uncertainty around the future ability of shareholders to fully benefit from franking credits could encourage a payout of credits currently held by Australian firms.

Approach #3 – Cross-checking the coordinates

Due to these simplifications and assumptions, it is appropriate to cross-check the results of one method with other available data. An alternative to either a purely historical approach using distributions received, or the stylised hypothetical above discussed in Approach #2, is relying on tax data.

Specifically, taxable investment income can be estimated as the sum of the return items for partnerships and trusts, foreign source income and franking credits (i.e. items 13, 20 and 24) in a tax return.This has been previously discussed here.

Using this data is – of course – not independent of my own records of distributions. Its benefit is that it strictly relies on verified data provided in tax calculations. This will include income distributions and realised capital gains from within Vanguard funds, for example, but will not pick up unrealised capital gains.

As with Approach #1, as the portfolio has changed in size and composition the absolute historical levels of taxable will not necessarily produce the best estimate of the expected level of distributions looking forward. For example, because it is drawing on a period in which the portfolio was smaller, a five year average of investment income would suggest future annual investment income of $32 300 or $2 700 per month.

So instead an ‘average rate’ approach can be used to overcome this. Over of the past five years, the portfolio has produced an annual taxable investment income of around 3.5 per cent of the value of portfolio. This in turn implies an average taxable investment income of:

  • $4700 per month or $56 000 per year when the portfolio is at Objective #1; and
  • $5800 per month or $69 000 per year when the portfolio is at Objective #2

Once again, these estimates imply the existence of a significant income gap remaining at reaching both portfolio objectives.

Summary of results

So far historical data from the portfolio and three different approaches have been set out to seek to answer the question: how much income is the portfolio likely to produce?

Comparing estimates and income requirements

These individual estimates (blue) and the average of all estimates (green) are summarised in the charts below, and compared to the monthly income requirements (red) of both of the portfolio objectives. The chart below sets out the estimates for Objective #1.SAD Chart Ob1The following chart sets out the same data and projections for the portfolio when it reaches Objective #2 (a portfolio total of $1 980 000).SAD Chart Ob2-corrThe analysis shows that:

  • Portfolio income is likely to be below target at reaching Objective #1 – Using the approaches and history as a guide the portfolio should on average produce an income of around $57 000 per annum at Objective #1
  • And also below target at Objective #2 – When Objective #2 is reached portfolio income should on average be around $71 000
  • Therefore an income gap does exist to solve – Under most estimation approaches there will be a significant income shortfall at reaching both Objective #1 and #2
  • The gap is significant, but not disastrous – Assuming an equal weighting to the three approaches and actual historical distributions over the past three years the size of the income gap will be around $900 per month at Objective #1 (or $10 200 per annum) and greater, around $1000 per month at Objective #2 (or $12 000 per annum)
  • Only one estimation approach doesn’t identify a gap – Only if the ‘average distribution rate’ approach under Approach #1 is accurate will there be no income shortfall.

This implies that at the $1.6 million target of Objective #1, a small portion of any portfolio gains (around 0.6% of the value of the total portfolio) would need to be sold each year to meet this income gap. An identical result applies at the Objective #2, around 0.6% of value of the total portfolio would need to be sold annually.

Another intriguing implication of the reaching the average estimates is that it allows for an approximation of the required portfolio level to rely entirely on portfolio income, and avoid any sale of assets. At both portfolio Objectives the average of all estimation approaches indicate portfolio income of around 3.5 per cent.

Reversing this figure for the target portfolio income (e.g. for $67 000 at Objective #1 is 0.035/67000) implies a portfolio need of $1.91 million. For the higher target income for Objective #2, the implied portfolio required to not draw down capital is close to $2.4 million. This would require many additional years of future paid work to achieve.

Trailing clouds of vagueness

There are many caveats, inexactitudes and simplifications that should loom large in interpreting these results. The level of future returns as well as their income and capital components are unknowable and volatile.

In particular, the volatility of returns introduces key sequence of return risks that are simplified away by the reliance on deceptively stable historical estimates or averages. Particularly sharp movement in asset prices could change the asset allocation. Legislative or market changes could change the balance of income and capital appreciation targeted by Australian firms.

For these reasons, the analysis does not make me consider any particular remedial action. It indicates that under a range of assumptions and average outcomes, there will need to be a sale of some investments to meet the portfolio incomes targeted.

The same analysis shows that the superficially attractive choice to live only off portfolio income would in reality mean aiming for a target around 20 per cent higher – needing an extra $300 000 to $400 000 – potentially adding many years to the journey.

The relatively small scale of the required sales is the most surprising outcome of this analysis. Selling around 0.6 per cent of the portfolio annually does not on its face appear to be a high drawdown in most market conditions.

Another potential issue to consider is what this result means for asset allocation. There is no doubt that history would suggest that the income gap could be reduced by either reducing the bond allocation, or lower yielding international shares.

To give a sense of the magnitudes of this – using the ‘dead reckoning’ Approach #2 set out above – allocating 100 per cent of the equity portfolio to Australian shares would produce around $900 per month (or $10 300 per year) additional distributions at the Objective #1 portfolio of $1.6 million.

In theory, this domestic shares only option would all but close the income gap. Yet the benefits of diversification and risk reduction bonds and international shares offer make this a trade-off to consider, not a clear choice. At present, my plan would be to revisit this issue at my annual review of the portfolio asset allocation.

In the meantime, having produced these estimates has helped starting to think in more concrete terms about the draw down phase, its challenges and mechanics. In a small way, this seems to clear some of the clouds away, and enable me to glimpse some possible futures more clearly.

* Note: The historical average estimate for this purpose has been proportionally adjusted to increase based on the increased size of the portfolio between now and reaching Objective #2

On the Wind – Reviewing the Record of Distributions and Expenses

IMG_20190117_150101_027
But no new findings will ever be made if we rest content with the findings of the past.
Seneca, Letters XXXVII

Measuring distributions and expenses

Over the last three years the investment portfolio has delivered substantial distributions, leading to a brief period in which it appeared that an accidental goal of ‘Credit card FI’ might have been met. Subsequently that prospect receded, due to a sharply lower set of distributions for the half year to December 2018.

Over six months ago Reviewing the Log examined the issue of how my current passive income from distributions compared against both my credit card expenditure and total spending.

This article seeks to update that previous analysis, but also to go further and reach a fuller and more robust picture of overall trends in how distributions and expenses compare over time.

In particular, this article seeks to identify the likely current ‘gap’ between distributions and monthly expenses. This represents a different and arguably more empirical way of viewing and measuring actual day-to-day progress to FI, compared to simply tracking progress to a numerical portfolio goal.

Even so, they are in some senses also different sides of the same coin. This is because the portfolio goals I am aiming for are reverse engineered from target FI income levels, which are translated into lump sum targets, using an assumed average return (currently 4.19 per cent). Each month I report a percentage progress towards these goals. Currently, by this simple lump sum measure, the portfolio is around 90 per cent of the way to Objective #1 and just under 75 per cent of the way to Objective #2.

Re-examining the logs and records

When the monthly record of credit card expenses, total expenses and distributions is examined it is clear that credit card expenditure is volatile, but has a comparatively stable average of around $6000 per month, or around $72 000 per annum. The distributions, on the other hand, have been either stable or growing for most of the past six years, with the exception of the large reduction in the half year to December 2018. During this last half year to December, distributions averaged at around $2 600 a month.

The chart below sets out a ‘credit card only’ (blue) and a ‘total expenses’ series against an averaged measure of monthly portfolio distributions (in red). The green line represents actual credit card expenses, added to an equal monthly contribution of other non-credit card expenses. Total expenses here just includes items such as rates, energy and utility costs, day to day cash, as well as contributions to irregular major expenses such as holidays, house and car repairs, as well as eventual car replacement. Fig 1 - monthly

Note that all segments of the red line reflect annual distributions, except the last period from July 2018 onwards. The red line from July 2018 to the present will need to be revised once the June 2019 half year distributions are known.

This revision is highly likely to lift the currently assumed average distribution for 2018-19 of about $2600 per month. This lift is likely because currently the red line from July 2018 onwards is based on a simple extrapolation or continuation of the traditionally lower December figures. The true underlying level of distributions this financial year may well be higher. In fact, June half year distributions have usually been well above the interim dividend amounts of the December half year.

Depending on the estimation method used, the June 2019 half year distribution could be in the range of $23 000 to $51 000, with an average estimate of around $42 000. This in turn could lead to total annual distributions for financial year 2018-19 being in the range of $39 000 to $66 000 (or between $3 250 to $5 500 per month respectively). For comparison, the five year average of distribution is around $45 000 (or $3 750 per month). The final figure will simply be an unknown factor until early July.

Off-course or temporary shallows?

The same considerations are relevant for examining a second measure of progress. The below figure charts the proportion of total expenses met by annual distributions.Fig 2 - Total Ex DistSince the last update of this graph more than six months ago, the proportion of expenses met by portfolio distributions has fallen, and for the same reason – the low distributions in the half year to December 2018.

Even with this significant fall, from July 2018 to the present, these lower distributions have generally been sufficient to meet between 30 to 40 per cent of total expenses. In overall trend terms, it also suggests the true underlying distributions potential of the portfolio is likely to be sitting at around 60 to 70 per cent (see dotted trend line).

Looking through the weather – adjusting the view

These two ways of viewing progress each have their advantages, but suffer the same disadvantage of being volatile measures of progress. This volatility arises from both monthly variations in expenses, and large variations in distributions between and within years. These variations occur due to a range of factors, such as realisations of capital gains related to rebalancing within some pre-mixed Vanguard retail funds, as well as changes in bond yields or interest rates.

To address this the following chart seeks to account for these multiple sources of variation by adopting a three year moving average for both credit card expenses and distributions. The trade-offs in using this approach is that a three year moving average reduces the time period able to be covered, and can also mute broader emerging trends that should be of concern. Additionally, three years is not close to a complete economic cycle. Thus it is quite possible, for example, for distributions that are abnormally high for two consecutive years to impact this moving average measure.

The advantages of an averaged approach are obvious, however. By reducing the variations and monthly ‘noise’, and taking a relatively conservative assumption (in an increasing portfolio) that the last three years may provide an approximate guide to the true underlying level of distributions, a clearer and more stable picture of overall progress can be gained.Fig 3 no outlineFrom this particular view, a few points emerge:

  • Credit card expenses have remained very stable at around $6 000 across the past three years with no systematic movements up or down
  • From January 2017 onwards distributions increased steadily until they reached around $5 000 per month in the middle of 2018
  • Since that time they have levelled off, and even slightly reduced, as the lower recent distributions form a greater part of the average

The data in the chart suggests a remaining gap of approximately $1 000 per month between distributions and credit card expenses, or distributions being sufficient to meet approximately 80 per cent of credit card expenses or 60 per cent of total expenses. In turn, this means that viewed as a multi-year average, ‘credit card FI’ has not been receding as sharply as volatile month to month figures suggest. It remains, in short, in view if not yet in range. The true average gap measured in these term is likely to continue to gently increase in the lead up to June 2019 distributions, but then potentially either level off or continue to close.

Overall this measure better reflects how the journey has felt so far. A beginning from a firm basis, constant steady progress over the time of the journey, but some significant distance to close yet.

Taking new bearings – an alternative approach

To reach the best view of where one is, it is sometimes useful to use cross-checks that relies on slightly different data.

An alternative approach to reaching a sound estimate which takes into account more stable annual data is to use tax assessment data. The chart below is based on assessed taxable investment income. It is taken from the tax return items of income from partnerships and trusts, foreign source income, and franking credits (i.e. items 13, 20 and 24, excluding capital gains) over the past ten years. This taxable income then given as a proportion of my portfolio objective #1, of $67 000 per year.

Fig 4 - TaxableFrom this chart some observations can be made:

  • For the past three years the equivalent of around 50 to 60 per cent of my first financial independence objective of $67 000 has been met by investment income
  • The past two years have been materially higher than other years – this could perhaps represent an anomaly, however, the overall portfolio that was producing distributions also grew by around 70 per cent since 2015-16, which would tend to support the higher later figures being sustainable
  • Annual variations do occur – with two out of 10 years registering some backward movement

The picture from taxable investment income then seems to support a gradual movement over the past three financial years materially closer to Objective #1, and some confidence that this is more likely than not to be maintained in the current financial year. Taking a three year average it suggests in investment income terms that around 55 to 60 per cent of Objective #1 income is likely to be covered by current distributions.

Summary – on the wind or a voyage becalmed?

Looking at the data highlights a few different points. Progress is not always linear, or exponential, even with compounding effects and well into the FI journey. Yet equally it shows it is possible over the course of several years to go from distributions making a small supporting contribution to ongoing expenses, to the equivalent of paying off the majority of a monthly credit card bill.

From reviewing the records and expanded data it is apparent that ‘credit card FI’ – not exactly a universally recognised stage of FI – is not yet achieved. Longer term progress on the goal will be clearer when June distributions are finalised in the next three months.

Depending on their final levels, between 55 and 90 per cent of annual credit card expenses will be covered by annual distributions. Reviewing past averages of card expenditures and distributions indicates that about 80 per cent of journey may be complete already, leaving a gap of only $1 000 per month.

Moving beyond credit card expenses – the lower distributions over the past six months have been equivalent to only 30 to 40 per cent of total expenses. Using independent tax assessment data indicates that the portfolio is currently generating between 50 and 60 per cent of the total yearly expenditure target under Portfolio Objective #1, with recent portfolio growth meaning the higher end of this range is a more probable guide than the lower.

In the first examination of these trends more than six months ago I observed the inevitable issue of volatility and noted that is was not impossible for future periods of higher expenditure to coincide with lower portfolio income. This could still occur, and clear precedents exist for it. Averages and forecasts have the power to mislead as well as guide.

Yet overall, looking back at the record puts some firm underpinnings to the progress already made – and leads me to strain forward for the next set of bearings.

Waypoints of the Passage – A History of Portfolio Progress

IMG_20190121_135415_489
Day by day, what you choose, what you think and what you do is who you become.
Heraclitus

When I started this record of my journey to financial independence, the voyage had already commenced. In fact, based on the measures used, it was already around two-thirds complete. This article seeks to fill in the blank pages in the log and answer the questions: what happened before this? How did the portfolio progress and grow since it started? How was it built and how did it evolve over time?

Looking back, much of the journey and portfolio progress seemed to take place at a slow but steady pace, likely because of a reliance on automated regular investments in  various funds. This piece will seek to chart the progress and describe the main investment vehicles used, to help answer what the early years of voyage looked like.

Outward bound and initial bearings

While in some senses the portfolio commenced as far back as 1999, with a first purchase of Telstra shares and some expensive actively managed share funds, this article focuses on the period from 2007 onwards.

Prior to 2007 I was regularly investing, however I was also saving for, and subsequently reducing, a home mortgage. Probably the single most significant starting investment I made in this period before 2007 was commencing in March 2001 sizeable regular monthly investments in Vanguard’s Diversified High Growth retail fund, which has continued to form part of the portfolio ever since.

It was only from early 2007 that a single focus was on building the portfolio for the purpose of any kind of financial independence. This goal itself was a slowly evolving journey, with revisions and adaptations.

For example, in July 2007 I set a target of $750 000, with the over ambitious view that that might produce around $50 000 in annual portfolio income. The goal of providing for a stream of passive income of $58 000 I can trace back to at least July 2009. Back then, my return assumptions were optimistic, and I envisaged the goal being achievable around 2020. By 2010 I had estimated that a portfolio of around $1.1 million would be required, a target which I updated to reflect more realistic information and evidence on likely sustainable returns in 2016, first setting my previous target of $1.47 million.

Progress of the voyage – movement in the portfolio

The overall pattern of growth in the portfolio since this time is shown below (with green denoting the period covered by the blog).

Figure 1 - Waypoints

It contains three main phases.

Initial progress – 2007-2012

During the first phase, and first few years progress was slow, despite a growing savings rate. Part of this was the impact of the global financial crisis. This did not cause an absolute decline in the portfolio, but was a major contributor to the small increase over January 2008 to January 2009.

To give a sense of what happened in this period in total, the portfolio went from around $152 000 in July 2007, to $228 000 in July 2009, and probably the worst of it was reflected in the portfolio only increasing around $10 000 from January 2008 to January 2009. That means that without new contributions it would have gone backwards over that year. Regardless,  I did continue to invest. The portfolio was around 60 per cent equities during that period. On reflection, I’m glad that the global financial crisis happened while I still had a relatively low portfolio level compared to today.

During this first phase, there was little compounding of returns, and the slow rate of progress here is captured very effectively in recent infographics and discussions from Four Pillars. The first $100 000 of the portfolio was achieved in 2007, and portfolio passed $300 000 through 2010, three years into the journey.

Expanding horizons – 2013-2017

The second period was one of significant yearly growth between 2013 and 2017. During this phase distributions started making an appreciable and sustained contribution to portfolio growth around $20 000 per year.

During this period the portfolio approximately doubled in size, and started approaching the psychological point of $1 000 000.

The journey as logged – 2017 onwards

The third period, since the commencement of regular writing in early 2017, has been dominated by a a break in the otherwise smooth and slightly exponential portfolio growth pattern from early years.

The increased in the value of bitcoin in late 2017 and then subsequent fall through 2018 has been responsible for this one-off blip in the chart, but absent any further significant increases, its capacity to introduce volatility into the overall portfolio has been reduced

Contributions over the voyage

Over the journey so far, most investment has taken place in Vanguard retail funds (High Growth, Growth, Balanced, and Diversified Bonds), with these funds receiving just over 66 per cent by value of total contributions. Around 90 per cent of total contributions by value been made into passive index funds, or passive ETFs.

The graph below illustrates the investment vehicles that contributions were made to on an annual basis. It is designed to answer the question, where did new investment get directed each year?

Figure 2 - Waypoints

From 2007 to 2015 contributions to Vanguard retail fund made up 90 per cent of yearly investments made, with the exception of a large single investment in a gold ETF in 2009.

The actual investment allocation between the various Vanguard funds differed from year to year, with a focus on building up each individual fund to a minimum size, assisted by inertia from many of these being automatic deductions left unchanged for a year or more. Achieving a notional target allocation set in investment plans also provided some guidance for which Vanguard fund was contributed to at any given time.

At one stage, as well, I sought risk management from an ‘bucket’ approach to splitting investments between different funds with different allocations, with the thought that over time this would achieve a greater margin of safety.

Over time, however, absorbing investment and finance theory led me to see that this was a wasteful, duplicative, and overly complex way of constructing an asset allocation, which had the potential to distract from critical whole of portfolio decisions about risk tolerance and capacity. This led to eventually to ceasing to contribute to some of the smaller and more conservative Vanguard retail fund holdings.

Before 2015, the only exceptions to this pattern of shifting Vanguard retail fund investments were some investments in gold ETFs, and a small exploratory investment in an early retail index fund associated with Bankwest, which had relatively high fees.

In 2015, this stability changed, with three significant non-Vanguard investments. This included  a continued investment in gold ETFs, a small exploration into Bitcoin, and a substantial investment in the peer to peer lender Ratesetter. This period coincided with an increased focus on investments, and some free time to explore this interest more closely.

This increased in 2016, with my first small contributions to BrickX, Goldmoney, and Raiz (then Acorns).  2017 saw the first investments made in Australian equity ETFs, with direction of major re-investment of distributions into Vanguard’s VAS ETF, rather than back into the Vanguard retail funds, which had been my practice previously.

Last year I halted any reinvestment in the Vanguard retail funds that had made up the bulk of my previous investment focus, moving from May onwards to regular investments in Betashares A200 Australian equities ETF. This has been driven by a two main reasons.

First, low cost purchases of ETFs now make it possible to buy small portions of A200 more economically. This means accessing a low MER of 0.07%, rather than 0.35% for the Vanguard fund I was contributing too.

Second, the Vanguard High Growth Fund still contains a 10 per cent bond allocation, meaning with each investment movement to my desired asset allocation was being slowed.

Shifting loads – tracking the movement in assets

Having seen how the level of the portfolio and the contributions shifted over time, this section discusses how the composition and asset allocation of the portfolio itself changed.

At the broadest level, the asset allocation of the portfolio has been relatively stable through time. The chart below sets out the allocation for major asset classes over the period 2007-2019.Figure 3 - WaypointThe major influences on asset allocation have been the original targets set, new contributions which have typically been directed to re-balancing towards a target allocation, and in places, major market movements (most notably the short-lived Bitcoin price appreciation in 2017-18).

The average actual share allocation across the period is around 67 per cent, which is relatively close to my previous target of 65 per cent. This target has recently been increased to 75 per cent.  Average exposure to fixed interests and bonds has been around 23 per cent. The only significant divergences from movement around these levels arose from:

  • a gradual increase in share and bond holdings due to a deliberate reduction in conservative funds holding any cash from 2007-2010;
  • an increase in bond holdings to 29 per cent of portfolio assets in 2015; and
  • a one-off drop in share and bond allocations as Bitcoin briefly rose to make up 14 per cent of the portfolio in 2018

Recently, the share allocation has been rising towards and over 70 per cent, reflecting consistent contributions to Australian equities (mainly in ETFs) through the past two years.

Distributions over the voyage

One of the most satisfying elements of the journey so far has been the growth in distributions over time. These I have tracked in detail since the first half of 2000, with a good continuous record of dividends and fund distributions.

The record of portfolio distributions is set out below. In my earlier post Wind in the Sails – A History of Portfolio Distributions I set out some similar data on a financial year basis, however this figure below is on a calendar year basis in 2017 dollars, to enable the incorporation of the most recent half year data (with again green denoting the period covered by the blog).Figure 4 - Dist

Trends in portfolio distributions

Measured on a monthly basis these distributions started at less than $100 per month, and grew steadily until 2007, where they declined substantially due to some large cash funds receiving interest which were used in a house purchase. The global financial crisis in 2008 affected distributions across into 2009 , but some of that effect was also attributable to falling interest rates during that time, and it was a temporary reduction.

Portfolio distributions, aside from some variations flowing from irregular capital distributions, were largely fairly stable through 2011 to 2015, averaging a between $20 000 and $25 000. After this, in 2016, portfolio distributions began to become extremely significant in their own right.

The distributions in 2017, and part of 2018, have contained significant realised capital gains from Vanguard funds, and like the results in 2006 and 2011, may not be repeated for some time. At the time, these high distributions led me to ponder whether I had actually already achieved ‘Credit Card FI’.

Overall distributions have made a significant contribution to my journey to date. In real inflation adjusted terms these past returns constitute around 30 per cent of the current portfolio value. In nominal terms, they have added over $375 000 to the portfolio total.

Consistent with the growth in the size of the portfolio and impacts of compounding, this contribution has been highest in the last few years. Over half of the total distributions the portfolio has ever generated  over the past 19 years has occurred in just the past 4 years, and over 75 per cent within the past eight years.

Changing mix of distributions

The changing portfolio has also led to marked shifts in what makes up the distributions. Prior to 2007, high interest savings account (such as ING Direct, Bankwest) made up the most significant part of the level of distributions recorded, often over two-thirds. Over the period since 2007, falling interest rates, a shift towards more equity investments, and lower invested amounts in fixed interest and cash have led to a decline in this area. Even as recently as 2014, however, these sometimes made up as much as one third of total distributions.  With the slow withdrawal from Ratesetter to meet asset allocation goals, this can be expected to keep falling.

The current constituents of the most recent half yearly distributions are set out below.

PIPieChartDec18

From this it can be seen that Ratesetter interest make up only 10 per cent of total portfolio distributions, while passive Vanguard funds and ETFs, overwhelmingly weighted towards equity assets, now make up over 80 per cent of net distributions.

Reflections on the waypoints

The conscious journey to financial independence has stretched back at least a decade. Progress has mostly been achieved by increasing my spending by less than my income, and investing the difference.

Knowledge, and a willingness to try out different assets and vehicles and continue to learn were also markers in the journey. They pushed me beyond simple and unrealistic savings targets, to find the habits and open mind that allowed embarkation on this exploration. They also left me with a more complicated portfolio than I would recommend for others, but which nonetheless is quite diversified.

Much of the journey was quiet and not memorable, although a weekly habit of tracking my net worth since 1998 provided a regular focal point to account for progress and lay future plans to take the next step. Much of the time I allowed automatic deductions to slowly average into the market.

The waypoints continue to mark down a diminishing distance towards the destination of my first FI goal. More time has passed than lays ahead for the portfolio in growth terms, but of course history continues to happen. As the distance counts down, I strain forward to see the shape of this undiscovered country.

Sounding the Depths – A Skeptical View of Listed Investment Company Investing

IMG_20190117_150510_297
Measure what is measurable, and make measurable what is not so.
Galileo

Investing using Listed Investment Companies (LICs) is one of the most commonly suggested investment options for Australians interested in pursuing financial independence. Yet it is also one of the least questioned, as well as the least empirically examined and supported approaches.

LIC investment is covered in many beginner personal finance and investment books such as the best-selling Barefoot Investor series from Scott Pape. Discussions of the benefits of LIC-based investing by established Australian financial independence blogs are also common and have been jokingly described as a growing ‘bandwagon’ (see for example, Strong Money Australia, Aussie Firebug and Pat the Shuffler). LIC-based and conceptually similar ‘Thornhill’ approaches are also frequently discussed and compared in Reddit financial independence threads.

A theme of much of this coverage is that LICs are a logical and preferable path for many Australian investors seeking financial independence. The universality of this theme made me curious to examine this popular proposition in more detail. As with all received wisdom it is sometimes worth looking more closely, and seeing if the claims for the position put actually hold water.

This long-read article seeks to start the process of doing that, and provide a more skeptical examination of eight of the common explicit or underlying claims for the use of LICs as an alternative to passive investing though equity index Exchange Traded Funds.

Some caveats to begin. The purpose of the article is not to suggest that LICs can never form part of a sound portfolio, or that an investor that has fully or partly invested their savings in a broad-based dividend focused LIC has made an irredeemable error that will hopelessly compromise their path to financial independence.

Any investor saving a large proportion of their income into reasonably diversified equity based investments should, on average and historically speaking, do well.

Rather, the purpose is to provide some food for thought on the risks and drawbacks of LICs for those either invested, or considering investing in LICs, drawing where possible on relevant academic and hard empirical evidence. This evidence has been either absent, or difficult to consistently spot, in the discussions on the merits of LICs and index ETFs that I have seen to date.

So, to turn to the claims.

Claim #1
LIC managers can skilfully and strategically select reliable dividend stocks

Underpinning any rational choice to invest in LICs is the belief that its management skill can reliably result in at least equivalent risk and return performance as accessible passive alternatives (such as Betashares’s A200.ASX or Vanguard’s VAS.ASX exchange traded funds) through initial and ongoing selection of equities that is enough to at least outweigh the cost of such management. Falling short of this means reducing one’s risk adjusted return with no offsetting benefit.

Importantly, an observation that some LICs may have outperformed a passive equity index even over the long-term does not tell us anything about whether this performance was due to skill or luck. Nor does it tell us, critically, whether this superior performance was identifiable in advance, compared to any other LIC available to investors at the start of the period in question that then went on to deliver below average returns. 

Those empirical finance studies just ruin everything

In fact, it is one of the most widely published and replicated empirical findings in finance literature that professional investment managers are unable to reliably outperform relevant passive index benchmarks (see Fama and French “Luck versus Skill in the Cross Section of Mutual Fund Alpha Estimates” (pdf) in the Journal of Finance).

This evidence includes exhaustive studies of unit investment trusts, which are comparable equivalents in the United States to Australian LICs. Unfortunately, recent empirical studies show that unit investment managers typically reduce returns by poor stock selection by between 2.5-2.8 per cent per annum compared to the market index, and even fail to outperform active mutual funds despite having no requirement to hold cash for redemptions (see Comer and  Rodriguez “Stock Selection Skill, Manager Flexibility, and Performance: Evidence from Unit Investment Trusts“).

It is difficult to know what to make of a lack of engagement with this established literature and record in the argument sometimes seen that the active management LICs offer the potential for superior risk adjusted returns to the benchmark.

But Australia is different, right?

An accompanying claim sometimes made to discount this clear evidence is that Australia is different, that there is something fundamentally different or special about Australian LIC managers that they are able to achieve results different to those systematically observed across other investment markets. Typically, little clear explanation is given as to why this should be the case, especially in a modern globalised equity market.

In fact, what limited published academic evidence is available suggests the opposite (see Robson “The Investment Performance of Unit Trusts and Mutual Funds in Australia for the Period 1969 to 1978“.

The unfortunate reality is that there is simply no robust evidence that managers in LICs have demonstrated any reliable capacity to select equities, or see trends in advance and act, to the benefit of their investors after costs.

Reviewing the LIC selection pitfalls: a worked example

This same point is evident from comparisons of a Vanguard Australian share ETF (VAS) and four popular Australian-managed LICs (AFI, Argo, BKI and MLT) made recently by Aussie Firebug in a discussion on moving to invest more in LICs. Taken over a recent five-year period, this analysis shows that this underperformance risk is pervasive and not avoidable in advance.

To see this, looking at the four fund and VAS example given in detail it is clear that:

  • LIC underperformance risk doesn’t magically disappear if funds are split between different LICs – An investor that split their funds evenly between the four well-established LICs would have received a lower total return than if they had simply invested in the index fund;
  • Choosing a single LIC doesn’t help – If an investor chose a single LIC, they faced a 2 in 4 chance of choosing a fund that would underperform on a total returns basis, and just a one in 4 chance of choosing a LIC that went on to outperform by more than 0.1 per cent; and
  • Getting it wrong has real consequences – If an investor had had the misfortune to select Argo, a LIC focused on producing highly reliable dividends, they would have received a total return that was 3 per cent lower than the unmanaged Vanguard ETF, with a lower dividend.

Updating the worked example: the problem worsens

Updating this example with Sharesight returns data to 14 January 2019 further demonstrates the potential risks. Using the past 5 years of data a depressing picture emerges in which:

  • Performance universally falls short – All four LICs underperformed on a total returns basis by more than 1 per cent, a worse result than chance might suggest;
  • Even the claimed dividend performance of LICs is ‘hit and miss’ –  2 out of the 4 of the LICs delivered lower dividends than the VAS, meaning an investor choosing a single LIC fund had only an even chance of keeping up with VAS dividends;
  • There was still no help from diversifying between LICs – an investor splitting their fund evenly between the LICs would have received a total return that was 2.3 per cent lower than the index alternative (VAS), and also would have received lower dividends; and
  • The laggard performers fell even further behind – with AFI investors receiving a total return around 3.4 per cent lower than the Vanguard VAS ETF alternative, with a lower dividend just adding to disappointment.

The recently published ETF and LIC annual performance report by ETF Watch turns up further anomalies, of commonly discussed ‘established, steady and reliable’ LICs paying lower income, and experiencing higher return volatility than equivalent benchmarks (such a VAS).

Of chance, LIC selection and cognitive dissonance

Of course, some of this could be the result of chance, but this is a knife that cuts both ways – in particular, into frequent objections along the lines that “…but LIC XYZ has outperformed the market over the past 10 years”.

Simply put, a claim that ‘XYZ LIC delivered returns of 7% where the market delivered only 6% during this period’ is not convincing evidence of management skill that an investor should pay much attention to. As noted above, academic evidence consistently demonstrates that most managers destroy value, and those vanishingly few skilled managers who will outperform (by chance or skill) are not identifiable in advance.

It is striking to see investors who willingly and rationally concede their own inability to make individual equity selections – by the very act of considering a LIC or index investment – to go on to act as though they are likely to be able to exercise some value-adding investor skill by seeking to research and make distinctions between even a relatively small range of well-established LICs investing in broadly similar assets.

Claim #2
Relying on LICs that have been around for decades adds safety

Many proponents of LIC-based investing advocate following an investment rule of only investing in older ‘tried and true’ and well-known LICs, for added safety. This rule was recently discussed, for example, in Aussie Firebug’s interview with Peter Thornhill (see 22:00-23:00 of this podcast).

Trusted brands in markets usually exist because past performance of a product or service gives confidence in the ability and incentive of the business to continue to deliver a good standard of service.

This is a reasonable approach to take to purchases of jeans, cars, and many services. It is a potential trap when it comes to actively managed investment products.

Tried and true – or a partial sample overdue for mediocrity?

This is because of two factors:

  • Survivorship bias – when investors compare the performance of Listed Investment Companies with alternatives, they are comparing the performance of LICs that have survived the period of comparison, which is only a subset of those investors actually invested in. Active funds and LICs that underperform for substantial periods typically close, leaving the actual comparison being made between those firms that performed well enough to survive and the benchmark. This is not the relevant comparison. Rather, the relevant comparison is: how did the average active fund or LIC that might have been chosen by an investor perform? In many cases, the average fund or LIC is located in the metaphorical graveyard. Some US estimates of this effect are that it leads to the equivalent of an overstating of likely returns from actively managed funds of around 1.5 per cent (see Malkiel, A Random Walk Down Wall Street, p.270); and
  • Performance is not persistent – While a LIC may have a strong investment selection process that performs well in one market, past performance does not tell an investor anything about likely future performance. Indeed there is some academic evidence that the performance of newer managers is systematically stronger that those will a long track record:

“Pastor, Stambaugh and Taylor came to another interesting conclusion: The rising skill level they observed was not due to increasing skill within firms. Instead, they found that “the new funds entering the industry are more skilled on average than the existing funds. Consistent with this interpretation, we find that younger funds outperform older funds in a typical month.”

Good managers never die, they just get replaced by average managers

In any LIC operating over decades, the investor is invariably assuming a ‘manager risk’ – i.e. the risk that a given manager will make mistakes that see them lose money against the benchmark.

This is not alleviated by selection of ‘tried and true’ LICs. In fact, there is good empirical evidence that manager risk is not just the risk of current managers making errors, as some studies have shown that investment company owners typically hire managers with good track records, which on average disappear right after appointment (see Goyal and Wahal “The Selection and Termination of Investment Management Firms by Plan Sponsors” (pdf) in Journal of Finance).

Claim #3
LICs are ‘more diversified’ and lower risk than the index

The claim is sometimes made that LICs are superior because they are ‘more diversified’ than equivalent equity indexes.

Often the point being made is that the Australian equity index has significant banking and resource components, and that LICs are investing in a more diversified set of ordinary industrial or other businesses that will exhibit lower risk or volatility over time.

The risks of index departure

This claim is hard to assess on its face because the role of diversification is to lower risk of loss or underperformance. If a LIC has a different make up to the index it is important to recognise that two things are potentially happening. The LIC could be:

  1. Making sector bets – making a series of active sector bets compared to the market index; and/or
  2. Assuming lower market risk (or ‘beta’) – in which case expected returns will be lower than the market and the same outcome could be achieved with lower cost through a market index added to a bond or cash position.

If active sectoral bets are being made, the managers are by default making an active assessment that the return from a subset of sectors within the broad market composition will outperform the whole.

The same record of evidence applies here as the broader, incorrect, claim that LICs demonstrate a capability to outperform the market index. Long-term evidence for sectoral outperformance is not strong, and returns data instead tends to show final returns from each sector such as financials, resources and remaining firms are strikingly similar, as the Reserve Bank of Australia recently noted (see graph below).

sp-so-2018-12-13-graph3

Risk happens from what is left out of the LIC portfolio, not just what is left in

A further problem for the claim is that LICs often have substantially narrower set of holdings than comparable benchmarks such as the ASX200 (which can be invested in for a 0.07% MER though Betashares A200).

Importantly, these LIC holdings are human selected, meaning that LICs can fail to acquire the critical dividend producing firms of the future, or fail to sell those that persistently underperform.

By contrast, a passive index approach means an investor will always hold those firms that rise to become earnings producers of the future, and have eliminated from their portfolio those firms whose poor returns performance sees them drop out of the index.

This is a critical strength of index investing, because of a characteristic of equity markets that a failure to invest in a relatively small proportion of total firms can mean missing the majority of the strong historical performance of the equity market.

That is because firm earnings are highly skewed, in statistical terms – that is, a small number of firms account for a disproportionate amount of future earnings and growth. Missing those rising stars will inevitably result in underperformance compared to a passive index.

Claim #4
The closed unit structure of LICs provides greater protection investors from panic, and enables bargain hunting

A further claim sometimes made for LIC investment is that the ‘closed end’ structure, where units are traded but not created automatically by new investors joining the fund, is a positive advantage compared to Exchange Traded Funds.

This time, I’m different, or ‘hell is other people’

Typically, so the argument goes, investors are irrational and emotional, and therefore:

One should always be suspicious of arguments based on assumptions that others will behave – or are behaving – irrationally, whilst one’s own conduct will be guided by a consistently superior temperament or insight. As is commonly observed, far more people similarly consider themselves to be above average drivers than can statistically be the case, and overconfidence is a key contributor to poor investor returns.

There is little evidence to suggest that any investor can systematically buy individual stocks at below their fair market value. In fact, empirical academic evidence such as the classic study by Odean and Barber The Behavior of Individual Investors (pdf) which uses real trading account data consistently show that investors:

  • Underperform standard passive investment benchmarks in stock selections;
  • Sell winning investments while holding losing investments;
  • Unduly weight past returns in purchase decisions;
  • Engage in learned reinforcing behavioural loops, repeating actions that brought pleasure in the past (in part this could account for the popularity of the injunction to “buy the dip”).

There is no clear reason typically suggested why this situation would be transformed by the introduction of a LIC structure between the underlying stocks and the investor.

In fact, making a single individual stock purchase decision is arguably a much less complicated analytical decision than buying a bundle of 50-100 equities in one LIC versus another. In such a comparison of bundled products the information disadvantages and complexities faced by the LIC purchaser is multiplied exponentially.

NAV-igation errors?

In a way, the myth of the ‘bargain’ LIC bought ‘on sale’ is understandable. The presence of a published Net Asset Value (NAV) seems to suggest an alluring prospect of the ‘true value’ being on display, opening the gates to the possibility of buying a set of assets below their actual value. Yet, this view ignores a few cautionary facts.

LICs are capable of being valued, and differences between their underlying asset values and prices are subject to arbitrage opportunities by well-informed market participants with greater access to information, trading execution speeds and expertise than any average retail investor.

It is unclear on what basis an individual investor could reasonably be expected to consistently be on the winning side of this grossly uneven contest.

Shallow reefs to port, or a storm to starboard?

Indeed, the situation is worse just than being up against well-informed market players in trying to ‘bargain hunt’ a LIC at below its NAV.  It turns out that a buyer faces a difficult choice with ambiguous and incomplete information regardless of whether the LIC is trading at a premium or not.

If the investor purchases at a premium to NAV, they are, all else equal, paying above market prices for a stream of future dividends, compared to buying the same shares and dividend entitlements directly on the open market. This is the equivalent of buying a loaf of bread for $2.20, when the same loaf can be purchased for $2.10 from a shop next door.

The typical answer to this is that one is paying a ‘premium’ for the supposed skill of the LIC manager, that is, one is locking in paying an upfront price now in the hope or speculation that any past superior performance was skill-based, and repeatable. As has already been seen under Claim #1 however, evidence for either of these propositions is scant.

A simple rule that suggests itself might therefore be to avoid ever purchasing a LIC at a premium to NAV, and some have adopted this rule. This apparently neat solution runs into a few difficulties though. For example:

  • Out of the market – Some LICs trade for quite extended periods above their NAV, meaning the investor will be effectively locked out of some LICs, and be forced to choose a non-preferred alternative;
  • Aged NAVs – Given NAVs are not always updated regularly, investors may be making purchase decisions on out of date and non-transparent valuations, and end up paying a premium anyway (note to try to mitigate this recognised problem, Pat the Shuffler recently developed a NTA estimator);
  • Discount for a reason – The trading of a LIC at a discount to its NAV could well not be a random opportunity to buy goods at less than fair value, it could instead reflect real price relevant information that trading market participants setting prices have that the ordinary retail investor does not have.

The logic of the argument that LICs provide a special protection against market panic is not readily apparent.

LICs shares themselves are subject to the same herd panic risks as their underlying share holdings, with the added risk that the market for individual LICs may be less liquid than the markets for their underlying holdings or ETF alternatives commonly also used by institutional investors (for a discussion of some of the misconceptions of ETF liquidity, see here). Moreover, the same arbitrage opportunities that keep LICs broadly in line with valuations of their holdings could be expected to expose LICs the same pricing pressures as the equities that make up their holdings.

Claim #5
LICs are just a substitute for low cost index ETFs – which way to go is just a question of taste

Perhaps in recognition of some of the weaknesses in the claims made, a further position sometimes put is that LICs and ETFs are effectively close substitutes, with the choice between them coming down largely to a matter of personal taste.

This is difficult claim to support, when considering that:

  • LICs typically have holdings that differ significantly from the capitalisation weighted market index, meaning that a different return and risk package is being purchased;
  • If the LIC does happen to be broadly invested in weights that closely reflect an equity index such as the ASX200, then they are effectively charging a mark-up for providing index-like results – a phenomenon so common it has been dubbed ‘closet indexing’
  • LICs cannot reliably be selected in advance in a way that will match index return;
  • The majority of LICs can be expected to underperform their closest relevant index benchmark, due to a proven inability of investment managers to reliably outperform passive index benchmarks after costs;
  • LICs can often have higher management costs than their equivalent benchmark, lowering returns even before an expected underperformance penalty – and if the LIC costs are lower than an unmanaged equivalent, a skeptical investor is at least entitled to wonder about the likely extent of actual value-adding research resources available to management; and
  • An investor not willing to pay a premium penalty over the current market value of the dividend flows (intrinsic value) may not be able to purchase their desired LIC at any given time.

These are substantial, and compounding, factors and differences that will have real world effects on a portfolio. They will affect returns, risks, out of pocket costs, the time taken to reach financial independence, and potentially willingness to stay on the journey.

Impacts of differences

As a practical example on costs – even small differences compound over time. This means that over a 25 year holding period a LIC investor paying 0.15% (around the level of many established LICs frequently suggested for consideration) could be paying as much as $27 500 extra on an $250 000 portfolio when compared to a purchase of the low cost Betashares A200 index exchange traded fund.

Note that this example assumes no particular ongoing performance disadvantage, or bad purchase timing with NAV premiums. Paying $27 500 to potentially assume the accumulated manager risks accruing over 25 years, and to obtain index-like or worse results does not sound like a close or effective substitute.

There is a role for personal tastes in investment and everyday purchase decisions between close substitutes. One day, you might prefer lemonade over cola. On another day, you might make the reverse choice.

But the differences between LICs and indexes are more fundamental than such a trivial everyday choice. If either are to form the cornerstone of a journey to financial independence potentially involving the investment of hundreds of thousands of dollars over a decade or more, the differences and risks should be consciously and carefully considered and accepted.

Claim #6 
LICs may earn lower returns from their focus on dividend stocks, but still fits with my investment needs

This is not so much a claim, as a position reached by some who either don’t make, or have abandoned, Claim #5 that there is no significant difference between capturing whole of market returns, and the smaller actively chosen portfolios within LICs.

For those taking a conscious choice to accept a combination of lower overall returns, and potentially higher portfolio volatility, from the selection of a LIC, there is no reasonable objection that can made.

This decision should flow, however, from a close and full appreciation of one’s own risk tolerance, and the actual risks of underperformance to an investor’s financial independence goal.

The cost of locking in a persistent below market return should not be underestimated. Compounding will significantly widen the gap between outcomes of an investor earning even 0.5% less over a significant period, and have the potential to result in either higher savings requirements to reach the same outcome, or lower protection against the key risk facing investors of not earning sufficient real returns after inflation.

Claim #7
LICs have special value because they provide a more stable flow of dividends

Another claim made is that LICs provide a smooth and stable flow of dividends, compared to alternative index ETFs. This is due to a policy of many popular listed investment companies choosing to retain some of the dividends they receive for the benefit of their investors, in order to pay out these dividends during future periods of dividend cuts.

 Paying another for self-control

The important thing to consider about this service is its value to an investor, versus its price.

In some sense, this dividend retaining approach by LICs is a benevolent act of the same kind as a parent withholding some of a child’s weekly pocket money in case it is spent unwisely. Importantly, however, over any period of investment it is likely to be slightly net present value negative, given than a benefit is being withheld through time, for future payouts. Arguably, if the LIC reinvests this cash, the opportunity cost to the investor is reduced somewhat. What is still lost, however, is the opportunity cost of being able to use the full dividend amount in the way the investor best sees fit at any given time.

There are perhaps some psychological benefits from this ‘dividend smoothing’ service. The same essential function, however, could be replicated by the investor, whilst retaining quarter to quarter to flexibility, if desired, with one option being through simple employment of ones bank account. Again, choosing to accept this externally imposed control may have value to an individual.

Some hidden risks and costs of outsourcing control

But if there are benefits, there are also hidden costs and risks.

In any rapid and sustained change in earnings and dividends payments, LIC distributions will potentially send a false signal of comfort, and not alert an investor that lifestyle or spending adjustments may be justified.

The unhappy fact for investors is that usually a LIC is either withholding part of your owed distributions, or it is paying to you a stream of income that is not sustained by the underlying earnings of its portfolios. Neither outcome appears an unmitigated positive.

Claim #8
But fully franked dividends…there are clear tax advantages inherent in the LIC structure

A final claim sometimes made is that the company structure of LICs confers some special benefit on investors relating to the receiving of franking credits.

In fact, once fully traced through the situation is as you would expect in any rational tax system – the vehicle does not magically alter the total effective liability. Aussie Firebug has ably debunked this claim already.

Summing up – taking their LICs

Many of the claims of benefits of LICs compared to passive equity indexes do not appear to be supported by relevant academic or empirical evidence.

The decision to select a LIC rather than a passive equity index ETF carries with it a range of risks that have been well-documented over past studies, such as taking more risk than necessary, to achieve below average results.

Yet there are a series of other, less visible, risks and costs that also lie in wait for even those investors that seek to mitigate against the weaknesses inherent in relying on actively managed LICs.

Careful thought is warranted about the risks, costs and tradeoffs being assumed in investing in a LIC, particularly if it forms part of a plan to achieve financial independence.

To learn more about my own choices and investment path start here, review my goals and investment plans or browse all posts here.

Further reading

Barber, B and Odean, T. “The Behavior of Individual Investors” in Handbook of Economics and Finance, Vol 2, Part B, 2013

Comer, George and Rodriguez, Javier Stock Selection Skill, Manager Flexibility, and Performance: Evidence from Unit Investment Trusts May 19, 2015

Ellis, C. Winning the Losers Game: Timeless Strategies for Successful Investment, McGraw-Hill, 1993

Fama, E. and K. French, 2010, “Luck versus Skill in the Cross Section of Mutual Fund Alpha Estimates,” in Journal of Finance, 65, 1915-1947

Goyal, A and Wahal, S. The Selection and Termination of Investment Management Firms by Plan Sponsors in Journal of Finance, August 2008

Kohler, M. ‘The Long View on Australian Equities’ Presentation to 31st Australasian Finance and Banking Conference, Sydney – 13 December 2018

Malkiel, B. A Random Walk Down Wall St, W W Norton, 2003

Robson, G. The Investment Performance of Unit Trusts and Mutual Funds in Australia for the Period 1969 to 1978 in AFAANZ Journal of Accounting and Finance, November 1986