Investing Archives - Page 7 of 10 - the patient investor

August 1, 2014

Bubble, Bubble, Toil and Trouble: The Costs and Benefits of Market Timing

The following article was originally published in Musings on Markets and is reproduced with kind permission of the author, Aswath Damodaran. Aswath is a Professor of Finance at the Stern School of Business at NYU and teaches classes in corporate finance and valuation.

The essay is lengthy, but shows great insight into the current discussion on market valuation, analyzing the motives of various groups (“bubblers”) who have been predicting the demise of the current bull market, and the relationship of Price-Earnings ratios (or its inverse, ERP) to long-term interest rates. His graph of Treasury Bond Rates and Implied ERP, particularly, demonstrates that current market valuations include a higher-than-normal risk premium. And his summation of the current state of affairs at the end is worth close attention.

Click on the images for a larger view. I hope that you enjoy it.

Monday, June 16, 2014

Bubble, Bubble, Toil and Trouble: The Costs and Benefits of Market Timing

If you believe that the stock market is in a bubble, you have lots of company. You have long-time market watchers, the New York Times and even a Nobel Prize winner in your camp. But what exactly is a bubble? How can you tell if you are in one? And if you do believe you are in a bubble, what is your best course of action? Not only are these questions difficult to answer, but the answers can vary across markets, investors and time.

The Bubble Machine

Every market has a bubble machine, though it is less active in some periods than others, and that machine creates an ecosystem of metrics and experts, as well as warnings about bubbles about to burst, corrections to come and actions to take to protect yourself against the consequences. In periods like the current one, when the bubble machine is in over drive and you are confronted by “bubblers” with varying credibilities, motives and methods, you may find it useful to first categorize them into the following groups.

Doomsday Bubblers have been warning us that the stock market is in a bubble for as long as you have known them, and either want you to keep your entire portfolio in cash or in gold (or bitcoins). They remind me of this character from Winnie the Pooh and their theme seems to be that stocks are always over valued.
Knee Jerk Bubblers go into hibernation in bear markets but become active as stocks start to rise and become increasingly agitated, the more they go up. They are the Bobblehead dolls of the bubble universe, convinced that if stocks have gone up a lot or for a long period, they are poised for a correction.
Armchair Psychiatrist Bubblers use subtle or not-so-subtle psychological clues from their surroundings to make judgments about bubbles forming and bursting. Freudian in their thinking, they are convinced that any mention of stocks by shoeshine boys, cab drivers or mothers-in-law is a sure sign of a bubble.
Conspiratorial Bubblers believe that bubbles are created by small group of evil people who plan to profit from them, with the Illuminati, hedge funds, Goldman Sachs and the Federal Reserve as prime suspects. Paranoid and ever-watchful, they are convinced that stocks are manipulated by larger and more powerful forces and that we are all helpless in the face of this darkness.
Righteous Bubblers draw on a puritanical streak to argue that if investors are having too much fun (because stocks are going up), they have to be punished with a market crash. As the Flagellants in the bubble world, they whip themselves into a frenzy, especially during market booms.
Rational Bubblers uses market metrics that are both intuitive and widely used, note their divergence from historical norms and argue for a correction back to the average. Viewing themselves as smarter than the rest of us and also as the voices of reason, they view their metrics as infallible and mean reversion in markets as immutable.

There are three things to keep in mind about bubblers. The first is that bubblers will receive disproportionate attention in the media, for the same reasons that a reality show about a dysfunctional family will have higher ratings than one about a more normal family. The second is that even the most misguided bubblers will be right at some point in time, just as a broken clock is right twice every day. The third is that being right is often the worst thing that can happen to bubblers, because it seems to feed into the conviction that they are always right and leads to increasingly bizarre predictions. It is no coincidence that every market correction in history has created its gurus (who called that correction right) and those gurus have almost always found a way to discredit themselves ahead of the next one.

What is a bubble? The lazy definition is that any time you see a large market correction, it is the result of a bubble bursting, but that is neither a useful definition, nor is it true. To me, a bubble reflects a market disconnect from fundamentals, where prices go up steeply, with no help from the fundamentals. The best way of illustrating this is to go back to an intrinsic value model, where the value of stocks can be written as a function of three fundamentals: the base year cash flows that investors are receiving, the expected growth in these cash flows and the risk in the cash flows:

If cash flows increase, growth rates surge, risk free rates drop or macroeconomic risk subsides, stocks should go up, and sometimes steeply, and there is no bubble. At the other extreme, if stock prices go up as cash flows decrease, growth rates become more negative and risk free rates and equity risk increase, you have a bubble. It is far more likely, though, that you will be faced with a more ambiguous combination, where shifts in one or more fundamentals (higher growth, higher cash flows, a lower risk free rate or lower macroeconomic risk) may explain the increase in stock prices and you will have to make judgments on whether the increase is larger than warranted.

Detecting a Bubble
The benefits of being able to detect a bubble, when you are in its midst rather than after it bursts, is that you may be able to protect yourself from its consequences. But are there any mechanisms that detect bubbles? And if they exist, how well do they work?

a. PE and variants

The most widely used metric for detecting bubbles is the price earnings (PE) ratio, with variants thereof that claim to improve its predictive power. Thus, while the conventional PE ratio is estimated by dividing the current price (or index level) by earnings in the last year or twelve months, you could consider at least three modifications. The first is to clean up earnings removing what you view as extraordinary or non-operating items to come up with a better measure of operating earnings. In 2002, in the aftermath of accounting scandals, S&P started computing core earnings for US companies which can differ from reported earnings significantly. The second is to average earnings over a longer period (say five to ten years) to remove the year-to-year volatility in earnings. The third is to adjust the earnings from prior periods for inflation to get a inflation-consistent or real PE ratio. In fact, Robert Shiller has a time series of PE ratios for US stocks stretching back to 1871, that uses normalized, inflation-adjusted earnings.

In the graph below, I report on the time trends between 1969 and 2013 in four variants of the PE ratios, a PE using trailing 12 month earnings (PE), a PE based upon the average earnings over the previous ten years (Normalized PE), a PE based upon my estimates of inflation-adjusted average earnings over the prior ten years (My CAPE) and the Shiller PE.

Normalized PE used average earnings over last 10 years & My CAPE uses my inflation adjusted normalized earnings. Shiller PE is as reported in his datasets

While the Shiller PE has become the primary weapon wielded by those who believe that we are in a bubble, perhaps because of the pedigree of its creator, the reality is that all four measures of PE move together much of the time, with a correlation of close to 90%. (If you are wondering why my time series starts in 1969, I use the S&P 500 and earnings on the index and I was unable to get reliable numbers for the latter prior to 1960. Since I need ten years of earnings to get my normalized values, my first estimates are therefore in 1969.)

To examine whether any of these PE measures do a good job of predicting future stock returns and thus market crashes, I computed the correlation of each PE measure with annual returns on the S&P 500 over one-year, two-year and three-year periods following the computation.

T statistics in italics below each correlation; numbers greater than 2.42 indicate significance at 2% level

First, the negative correlation values indicate that higher PE ratios today are predictive of lower stock returns in the future. Second, that correlation is weak with one-year forward returns (notice that none of the t statistics are significant), become stronger with two-year returns and strongest with three-year returns. Third, there is little in this table to indicate that normalizing or inflation adjusting the PE ratio does much in terms of improving its use in prediction, since the conventional PE ratio has the highest correlation with returns over time periods

Defenders of the PE or one its variants will undoubtedly argue that you don’t make money on correlations and that the use of PE is in detecting when stocks are over or under price. For instance, one rule of thumb suggests that a Shiller PE above 15 would indicate an over valued market, but that rule would have kept you out of US equities since 1988. To create a rule that is more reflecting of the 1969-2013 time period, I computed the 25th percentile, the median and the 75th percentile of each of the PE ratio measures for this period.

PE measures: 1969-2013

I then broke my sample down into four quartile classes with each PE ratio, from lowest to highest, and computed the annual stock market returns in the years following:

One-year and Two-year stock returns

The predictive power improves for PE ratios with this test, since returns in the years following high PE ratios are consistently lower than returns following low PE ratios. Normalizing the earnings does help, but more in detecting when stocks are cheap than when they are expensive. Finally, the inflation adjustment does nothing to improve predictive returns.

Note, though, that this test is biased by the fact that the quartiles were created using data from the period on which the test is run. Thus, the conclusion that you can draw from this table is that if you had known, in 1969, what the distribution of PE ratios for the S&P 500 would look like for the next 45 years (which would suggest amazing foresight on your part), you could have made money by buying when PE ratios were in the bottom quartile of the distribution and selling in the top quartile.

b. EP Ratios and Interest Rates

One of the biggest perils of using the level of PE ratios as an indicator of stock market pricing, as we have in the last section, is that it ignores the level of interest rates. If interest rates are lower, PE ratios should be higher and ignoring that relationship will lead us to conclude far too frequently (and erroneously) that stocks are over priced in low-interest rate environments. The link between PE ratios and interest rates is best illustrated by looking at how the EP ratio (the inverse of the PE ratio) moves with the T.Bond rate over time. In the figure below, I graph the movements of all four variants of EP ratios as the T.Bond rates changes between 1969 and 2013:

It is clear that EP ratios are high when interest rates are high and low when interest rates are low. In fact, not controlling for the level of interest rates when comparing PE ratios for a market over time is an exercise in futility.

This insight is not new and is the basis for the Fed Model, which looks at the spread between the EP ratio and the T.Bond rate. The premise of the model is that stocks are cheap when the EP ratio exceeds T.Bond rates and expensive when it is lower. To evaluate the predictive power of this spread, I classified the years between 1969 and 2013 into four quartiles, based upon the level of the spread, and computed the returns in the years after (one and two-year horizons):

The results are murkier, but for the most part, stock returns are higher when the EP ratio exceeds the T.Bond rate.

c. Intrinsic Value
Both PE ratios and EP ratio spreads (like the Fed Model) can be faulted for looking at only part of the value picture. A fuller analysis would require us to look at all of the drivers of value, and that can be done in an intrinsic value model. In the picture below, I attempt to do so on June 14, 2014:

Intrinsic valuation of S&P 500: June 2014

It is true that this intrinsic value is a function of my assumptions, including the growth rate and the implied equity risk premium. You are welcome to download the spreadsheet and try your own variations.

If your concern is that I have used too low an equity risk premium, you can solve, as I do at the start of each month, for an implied equity risk premium (by looking for that equity risk premium that will give you the current index level) and then comparing that value to historical values for that input:

The current implied ERP of 4.99% is well above the historic average and median and it clearly is much higher than the 2.05% that prevailed at the end of 1999.

Are we in a bubble?
In the table below, I summarize where the market stands today on each of the metrics that I discussed in the last section:

If you focus on PE ratios, it is true the current levels in the market put it in the danger zone, given past history. However, bringing the level of interest rates into the measure (in the EP spreads) reverses the diagnosis, since stocks look under valued on these measures. Finally, expanding the assessment to look at growth and risk as well in the intrinsic value and ERP measures reinforces suggests that stocks are fairly valued.

While there are some who are adamant in their belief that the market is in a bubble, I remain unconvinced, especially given the level of rates today. To those who argue that earnings could drop, growth could turn negative, interest rates could go up or that there could be another global crisis lurking around the corner, has there ever been a point in time in stock market history where these concerns have not existed? And even if they do exist, the reason we demand an equity risk premium in the first place is for the uncertainty that we feel about macroeconomic variables driving value.

Bubble Belief to Bubble Action: The Trade Off

While I believe that the risk that we are in a bubble is over stated by PE ratio comparisons, you may come to a very different conclusion. Even if you do, though, should you act on that belief? The answer is not clear cut, since there are two ways you can respond to a bubble. The first, which I will term the passive defense, is to reduce the amount of your portfolio allocated to equity to a lower number than you would normally hold (given your age, liquidity needs and risk aversion). The second which I term the active defense is to try to profit off the market correction by selling short (or buying puts). The trade off is then between the cost and the benefit of acting:

The cost of acting: If you decide to act on a bubble, there is a cost. With the passive defense, the money that you take out of equities has to be invested somewhere safe (earning a risk free rate, or something close to it) and if the correction does not happen, you will lose the return premium you would have earned by investing stocks. With an active defense, the cost of being wrong about the correction is even greater since your losses will increase in direct proportion with how well stocks continue to do. (Note that using derivatives to protect yourself against market corrections or for speculation will deliver variants of these defenses.)
The benefit of acting: If you are right about the bubble and a correction occurs, there is a payoff to acting. With the passive defense, you protect your investment (or at least that portion that you shift out of equities) from the drop. With the active defense, you profit from the drop, with the magnitude of your profits increasing with the size of the correction.

The trade off then becomes a function of three variables: how certain you feel about the existence of a bubble, how big a correction you see occurring as a result of the bubble bursting and how soon you see the correction coming.

To illustrate the trade off, consider a simple (perhaps simplistic) scenario, where you are fully invested in equities and believe that there is 20% probability of a market correction (which you expect to be 40%) occurring in 2 years. In addition, let’s assume that the expected return on stocks in a normal year (no bubble) is 7.51% annually and that the expected annual return if a bubble exists will be 9% annually, until the bubble bursts. In the table below, I have listed the payoffs to doing nothing (staying 100% in equities) as well as a passive defense (where you sell all your equity and go invest in a risk free asset earning .5%) and an active defense (where you sell short on equities and invest the proceeds in a risk free asset):

Future value of portfolio in 2 years (when correction occurs)

If you remain invested in equities (do nothing), even allowing for the market correction of 40% at the end of year 2, your expected value is $1.0672 at the end of the period. With a passive defense, you earn the risk free rate of 0.5% a year, for two years, and the end value for your portfolio is just slightly in excess of $1.01. With an active defense, where you sell short and invest int he risk free rate, your portfolio will increase to $1.3072, if a correction occurs, but the expected value of your portfolio is only $0.9528, which is $0.1144 less than your do-nothing strategy.

If you feel absolute conviction about the existence of a bubble and see a large correction coming immediately or very soon, it clearly pays to act on bubbles and to do so with an active defense. However, that trade off tilts towards inaction as uncertainty about the existence of the bubble increases, its expected magnitude decreases and the longer you will have to wait for the correction to occur. I know that I am pushing my luck here but I tried to assess the trade off in a spreadsheet, where based upon your inputs on these variables, I estimate the net benefit of acting on a bubble for the passive act of moving all of your equity investment into a risk free alternative:

Payoff to Passive Defense against Bubble (Correction of 40% in 2 years)

The net payoff to acting on a bubble generates positive returns only if your conviction that a bubble exists is high (with a 20% probability, it almost never pays to act) and even with strong convictions, only if the market correction is expected to be large and occur quickly.

On a personal note, I have never found a metric or metrics that allow me to have the combination of conviction that a bubble exists, that the correction will be large enough and/or that the correction will happen within a reasonable time frame, to be a market timer. Hence, I don’t try! You may have a better metric than I do and if it yields more conclusive results than mine, you should be a market timer.

Bubblenomics: My perspective
It is extremely dangerous to disagree with a Nobel prize winner, and even more so, to disagree with two in the same post, but I am going to risk it in this closing section:

There will always be bubbles: Disagreeing with Gene Fama, I believe that bubbles are part and parcel of financial markets, because investors are human. More data and computerized trading will not make bubbles a thing of the past because data is just as often an instrument for our behavioral foibles as it is an antidote to them and computer algorithms are created by human programmers.
But bubbles are not as common as we think they are: Parting ways with Robert Shiller, I would propose that bubbles occur infrequently and that they are not always irrational. Most market corrections are rational adjustments to real world shifts and not bubbles bursting and even the most egregious bubbles have rational cores.
Bubbles are more clearly visible in the rear view mirror: While bubbles always look obvious in hindsight, it is far less obvious when you are in the midst of a bubble.
Bubbles are not all bad: Bubbles do create damage but they do create change, often for the better. I do know that the much maligned dot-com bubble changed the way we live and do business. In fact, I agree with David Landes, an economic historian, when he asserts that “in this world, the optimists have it, not because they are always right, but because they are positive. Even when wrong, they are positive, and that is the way of achievement, correction, improvement, and success. Educated, eyes-open optimism pays; pessimism can only offer the empty consolation of being right.” In market terms, I would rather have a market that is dominated by irrationally exuberant investors than one where prices are set by actuaries. Thus, while I would not invest in Tesla, Twitter or Uber at their existing prices, I am grateful that companies like these exist.
Doing nothing is often the best response to a bubble: The most rational response to a bubble is to often not change the way you invest. If you believe, as I do, that it is difficult to diagnose when you are in a bubble and if you are in one, to figure when and how it will dissipate, the most sensible response to the fear of a bubble is to not change your asset allocation or investment philosophy. Conversely, if you feel certain about both the existence of a bubble and how it will burst, you may want to see if your certitude is warranted given your metric.

Attachments:
Raw Data used to estimate PE and EP ratios
PE, EP and other ratios by year: 1969-2013
Intrinsic value for S&P 500: June 14, 2014
Trade off on acting on bubbles

July 26, 2014

Diversification – the only ‘free lunch’ in investing

Diversification is often referred to as “the only free lunch in investing” because it affords investors the opportunity to reduce investment risk without reducing returns. Most investments involve a trade-off between risk and return, with higher returns requiring investors to expose themselves to greater risk. But effective diversification allows investors to reduce risk, by spreading their investments, while maintaining higher levels of return.

What is effective diversification?

Not all diversification is effective. Many investors buy a wide range of stocks in the belief that this will protect them from risk. The benefits of such diversification are likely to be insufficient if the stocks are all listed on the same exchange and selected using the same method. The entire portfolio will tend to rise and fall in unison — as in the well-known adage “a rising tide lifts all boats.” The key is to select stocks or investments that have low correlation.

What is correlation?

Correlation is the degree to which separate investments rise and fall together. Correlation measures the tendency of investments to advance or decline independently of each other. The correlation coefficient, identified by the symbol r, expresses the level of dependency between two variables (stocks in our case). Values for the correlation coefficient range from 1.0, for stocks that are perfectly correlated, to -1.0 for stocks that move inversely to each other.

Only two shares of the same stock, like BHP Billiton, are likely to have a correlation as high as 1.0. But stocks from the same sector are likely to share high values. And stocks from the same market are also likely to share a reasonable degree of correlation in larger time frames (i.e. the primary cycle).

You are also unlikely to find stocks that are the perfect inverse of each other — a coefficient of -1.0 — except possibly from an index ETF and its bear counterpart.

We are not necessarily looking for stocks with negative correlation, however, but stocks or investments with low correlation — closer to zero than to 1.0. As you can imagine, going long and short the same stock would protect you from any variation in prices, but would not deliver much in the way of return. If we had a spread of investments with low correlation (i.e low dependency) their price movements will tend to offset each other, providing a smoother portfolio return.

3 Ways to achieve diversification

We are likely to find investments with low correlation using three different techniques:

Diversification by asset class;
Diversification by geographic location; and
Diversification by strategy.

Asset class

There are a number of asset classes available to investors. Asset classes as diverse as stocks, real estate and fine art, however, are all subject the vagaries of the economic cycle and tend to rise and fall together.

Bonds tend to have low correlation to stocks. We need to make a distinction here between government bonds with low risk premiums, which fluctuate largely with the interest rate cycle and tend to be counter-cyclical (i.e negatively correlated) to stocks, and corporate bonds which are subject to far higher risk premiums that may expand and contract in line with the stock market cycle. Credit spreads tend to be low when the stock market is bullish and widen sharply during a contraction.

There are other asset classes such as insurance funds, where risks such as weather events tend to have low correlation to the economic cycle, but investors need a fair degree of expertise to assess the risks associated with these investments.

Geographic location

Australian investors tend to be highly concentrated in the Australian market, with only about 15% of assets invested offshore, both directly and indirectly through managed funds. Most major stock markets tend to rise and fall together, but diversification, especially to US markets, affords investors the opportunity to diversify into sectors not available on the local exchange.

By strategy

Diversification by strategy is often overlooked. If an investor, for example, diversifies their stock portfolio across several value-based fund managers they are likely to find that their investments rise and fall in unison. Even though the managers may hold a wide spread of stocks, they are all selected using a similar process and will tend to behave in a similar manner.

By spreading investments across several strategies, the investor is likely to achieve more effective diversification and more stable returns. Diversification between value-based strategies and our own momentum strategy is an obvious example. Recent research shows ASX 200 Prime Momentum has a low correlation of 0.3368 with the popular Perpetual Industrial Share Fund [PER0011AU] and moderate correlation of 0.4263 with Colonial First State Australian Share – Core [FSF0238AU].

Diversification is not the only “free lunch” available to investors — effective tax planning also enables investors to enhance returns without increasing risk — but it is important and should not be neglected. It is a complex area and we recommend that you consult your financial adviser before taking any action.

The best argument for mutual funds is that they offer safety and diversification.
But they don’t necessarily offer safety and diversification.

~ Ron Chernow

July 26, 2014

Diversification – the only ‘free lunch’ in investing

What is effective diversification?

What is correlation?

You are also unlikely to find stocks that are the perfect inverse of each other — a coefficient of -1.0 — except possibly from an index ETF and its bear counterpart.

3 Ways to achieve diversification

We are likely to find investments with low correlation using three different techniques:

Diversification by asset class;
Diversification by geographic location; and
Diversification by strategy.

Asset class

Geographic location

By strategy

The best argument for mutual funds is that they offer safety and diversification.
But they don’t necessarily offer safety and diversification.

~ Ron Chernow

July 20, 2014

To sell or not to sell?

Recent acquisition Northern Star Resources [NST] in the ASX 200 portfolio is a great example of the conundrum faced by long-term investors when a new stock leaps out of the starting blocks. Profit-taking is evident from the tall shadows/wicks early in the week and in the decline of 21-day Twiggs Money Flow. Medium-term selling pressure suggests the stock is likely to retrace and give back some of the gains of the last two weeks. The temptation must be great to sell the stock and lock in profits of close to 30 percent.

It is important, however, to stick to the plan. We are investing for a longer time frame in anticipation of much larger gains. There is no guarantee that any individual stock, including NST, will deliver. But I can guarantee you that they will not deliver long-term gains if you sell within the first few weeks.

Investors in S&P 500 stock Micron Technology [MU] faced a similar conundrum in July 2013. The stock had put in a good run from $9.00 before encountering profit-taking as it approached $15.00. 21-Day Twiggs Money Flow retreated below zero and the stock fell back to $12.50. Many investors would have taken this as a sign to get out.

With hindsight, the decision to stay the course looks easy: support held at $12.50 and MU is now trading at $33.00. But I am sure that there were many investors who forgot their original plan and took profits at $12.50.

….They just aren’t bragging about it.

Disregarding the big swing and trying to jump in and out was fatal to me. Nobody can catch all the fluctuations. In a bull market the game is to buy and hold until you believe the bull market is near its end.
~ Jesse Livermore

That’s all for today. Take care.

July 18, 2014

To sell or not to sell?

….They just aren’t bragging about it.

July 12, 2014

Growth or Income?

Most investors face a decision as to how much of their portfolio to allocate to growth investments and how much to income investments. The mind-set of many income investors is that they cannot afford the volatility of growth investments. The following example illustrates how income investors can use growth investments to protect their portfolio against inflation and enhance overall returns.

Growth investments, historically, have outperformed income investments, but at the expense of greater volatility. They are typically favored pre-retirement by investors with long time horizons who seek to maximise their capital on retirement. Other than improved performance, growth investments also generally receive more favourable tax treatment than fixed income, further enhancing after-tax returns. Income investments historically exhibit lower volatility and are favored by retirees for their consistent income, also by risk-averse pre-retirees who wish to reduce the volatility of their overall portfolio.

Historic Returns

These historic returns to Australian investors from 1981 to 2009 illustrate the differences in returns and volatility. Data was originally provided by AXA:

Asset class:	Australian stocks	Australian fixed interest	International stocks	Australian REITS	Australian cash
Annualised return (%)	11.38	10.41	10.81	10.49	9.18
Inflation (%)	4.41	4.41	4.41	4.41	4.41
Real return (%)	6.97	6.00	6.40	6.08	4.77
Standard deviation	23.32	7.60	21.41	18.75	4.95

Not all investment strategies are likely to match the broad asset classes, but they are a good starting point for developing an investment strategy.

What the future holds

One thing about the future is certain: it is not going to match the past. It also is not going to match our projections. Without a magic crystal ball, the best we can do is adjust past performance for expected changes and hope we are not too far off course.

My own expectations are that we are entering a low inflation environment. Central banks, after the global financial crisis, are likely to be far more vigilant about rapid credit expansion and asset bubbles. I have therefore adjusted my inflation expectation down to 2.0%. I also expect that low inflation will have greater impact on fixed interest and cash and have adjusted their returns accordingly.

Asset class:	Australian stocks	Australian fixed interest	International stocks	Australian REITS	Australian cash
Annual return (%)	9.00	7.00	9.00	8.00	5.00
Inflation (%)	2.00	2.00	2.00	2.00	2.00
Real return (%)	7.00	5.00	7.00	6.00	3.00
Standard deviation	25	10	25	20	5

These projections are no more than an educated guess and are used for illustration purposes only. Make your own projections, but understand that unrealistic projections will yield unrealistic results.

Investing for Income

We can now determine how much to allocate to income investments and how much to growth investments.

Take a retired investor whose objective is to earn $60,000 per year (after tax) from investments while protecting capital from inflation.

If he/she earns an average return of 7.0% p.a. on income investments at an average tax rate of 15%, with 2.0% inflation, we arrive at a net return of 3.95% and a required investment of $1.519 million:

Average return:	7.00%
Less tax at:	15%
After tax:	5.95%
Deduct inflation:	2.00%
Net return:	3.95%
Required income after tax and inflation:	$60,000
Required capital (60,000 x 100/3.95):	$1.519 million

Adding growth investments

If we recognize hedging against inflation as a long-term goal and not an immediate cash flow need, we can consider funding the inflation element of the portfolio with higher-yielding growth investments.

Income Component

First we calculate the capital required to meet current income needs:

Average return on income investments:	7.00%
Less tax at:	15%
After tax:	5.95%
Required income after tax:	$60,000
Required income investment:	$1.009 million

Growth component

Growth investments typically enjoy higher after-tax returns because of improved performance as well as a lower tax component — through capital gains concessions and franking credits on dividends (for Australian investors).

Average return on growth investments:	9.00%
Less tax at:	10%
After tax:	8.10%
Deduct inflation:	2.00%
Net return:	6.10%
Required income from growth investments ($1.009m x 2.0%):	$20,180
Required growth investment ($20,180 x 100/6.1):	$0.331 million
Total required capital:	$1.340 million

Using growth investments to fund the inflation component reduces required capital to $1.340 million, a reduction of $179,000. Alternatively, if we invest the previously determined capital amount of $1.519 million, we should average close to $11,000 of additional income (after tax and inflation) each year. With higher inflation rates, the difference is even greater.

Remember that this example does not take into consideration your personal needs and circumstances. Also, taxation and investing for retirement are complex subjects and we recommend that you consult a professional adviser before making any decisions.

July 7, 2014

Understanding Momentum

Since its initial discovery by DeBondt & Thaler in 1985, the momentum effect has been documented and researched in many markets worldwide. Stocks which have outperformed in the recent past tend to continue to perform strongly over the months ahead.

Research conducted by Dr Bruce Vanstone and me indicates that Momentum significantly outperforms the major benchmark indices in both US and Australian markets. Investors, however, tend to focus on the annual rate of return without considering the accompanying volatility. Consider our simulation of Twiggs Momentum on the S&P 500 for the period January 1996 to June 2013 as an example.

Dark green areas represent cash holdings, when market risk is identified as elevated. The blue line represents the benchmark S&P 500 index. Click on the image if you need a larger view.

Investment Strategy:	Twiggs Momentum	Buy & Hold
Starting Capital (USD):	$100,000	$100,000
Ending Capital (USD):	$4,871,686.27	$258,649.35
Annualized Gain:	24.89%	5.58%
Total Commission Paid (at 5 BPS):	$66,194.35	$49.96
Number of Investments:	331	1
Win Rate:	54.38%	100.00%
Average Profit:	44.16%	158.79%
Average Loss:	10.15%	0.00%
Maximum Drawdown:	38.64%	56.77%
Maximum Drawdown Date:	9/11/2006	3/9/2009
Sharpe Ratio:	0.98	0.42

Investors tend to focus on the annualized gain of 24.89% p.a. without really applying their minds to the other statistics in the table. Maximum Drawdown of 38.64%, while lower than the index, means the portfolio is still subject to gut-wrenching volatility. Soaring gains are often followed by sharp falls and it takes strong resolve to stick with the strategy after one of these setbacks. Many investors would have abandoned ship after the first major drawdown in early 2000.

Another factor is the Win Rate of just above 54% which means that over 45% of all stocks purchased are sold at a loss. These are typical statistics for a momentum strategy, but investors should expect a high percentage of stocks to be cut from the portfolio for failing to adhere to the expected growth path. The strength of the strategy, however, is the expected gains on stocks that do adhere to the momentum growth path, with average profits exceeding average losses by a ratio of almost 4 to 1. That is where the excess returns are generated and is the reason why the strategy outperforms the benchmark index.

There are also extended periods when the portfolio remains in cash — long enough for doubts to grow as to whether momentum still works in the markets. My own view is that momentum strategies have been shown to outperform the Dow over the last 100 years and are likely to remain viable for as long as we have stock market cycles.

Coping with the emotional roller-coaster ride of investing in stocks is never easy, but here are some hints.

Focus on your investment time horizon of at least 5 years.
Check stock prices no more than once a week. Tracking prices daily or more frequently tends to cloud your judgement.
Welcome gains ahead of long-term averages, but expect them to fade over time.
If something unusual occurs, step back from the market, examine the long-term history, and ask: “Is this really unexpected or were my expectations unrealistic.”

“You know,” said Arthur, “it’s at times like this, when I’m trapped in a Vogon airlock with a man from Betelgeuse, and about to die of asphyxiation in deep space that I really wish I’d listened to what my mother told me when I was young.”
“Why, what did she tell you?”
“I don’t know, I didn’t listen.”
~ Douglas Adams, The Ultimate Hitchhiker’s Guide to the Galaxy

That’s all for today. Take care.

July 5, 2014

Understanding Momentum

Dark green areas represent cash holdings, when market risk is identified as elevated. The blue line represents the benchmark S&P 500 index. Click on the image if you need a larger view.

Investment Strategy:	Twiggs Momentum	Buy & Hold
Starting Capital (USD):	$100,000	$100,000
Ending Capital (USD):	$4,871,686.27	$258,649.35
Annualized Gain:	24.89%	5.58%
Total Commission Paid (at 5 BPS):	$66,194.35	$49.96
Number of Investments:	331	1
Win Rate:	54.38%	100.00%
Average Profit:	44.16%	158.79%
Average Loss:	10.15%	0.00%
Maximum Drawdown:	38.64%	56.77%
Maximum Drawdown Date:	9/11/2006	3/9/2009
Sharpe Ratio:	0.98	0.42

Another factor is the Win Rate of just above 54% which means that over 45% of all stocks purchased are sold at a loss. These are typical statistics for a momentum strategy, but investors can expect a high percentage of stocks to be cut from the portfolio for failing to adhere to the expected growth path. The strength of the strategy, however, is the expected gains on stocks that do adhere to the momentum growth path, with average profits exceeding average losses by a ratio of almost 4 to 1. That is where the excess returns are generated and is the reason why the strategy outperforms the benchmark index.

There are also extended periods where the portfolio remains in cash — long enough for doubts to grow as to whether momentum still works in the markets. My own view is that momentum strategies have been shown to outperform the Dow over the last 100 years and are likely to remain viable for as long as we have stock market cycles.

Coping with the emotional roller-coaster ride of investing in stocks is never easy, but here are some hints.

Focus on your investment time horizon of at least 5 years.
Check stock prices no more than once a week. Tracking prices daily or more frequently tends to cloud your judgement.
Welcome gains ahead of long-term averages, but expect them to fade over time.
If something unusual occurs, step back from the market, examine the long-term history, and ask: “Is this really unexpected or were my expectations unrealistic.”

That’s all for today. Take care.

June 25, 2014

Quant Funds Are Hot Again | Morningstar

By Greg Carlson

Funds that use quantitative stock-picking models are on a roll. A list of 52 U.S.-sold quant funds compiled by Morningstar beat more than 80% of their respective peers over the trailing three years through June 13, and the group outperformed its respective peers in 2011, 2012, 2013, and thus far in 2014.

Quant Funds Are Hot Again | Morningstar

By Greg Carlson

Funds that use quantitative stock-picking models are on a roll. A list of 52 U.S.-sold quant funds compiled by Morningstar beat more than 80% of their respective peers over the trailing three years through June 13, and the group outperformed its respective peers in 2011, 2012, 2013, and thus far in 2014.