Category: Quantitative Methods

Is the S&P 500 30% undervalued?

Is the S&P 500 30% undervalued?

The relationship of the VIX to the S&P 500 is an interesting one, one that I have studied for the past nine years. Over that time, I have used the relationships to:

  • Design investment strategies for insurance companies selling Equity Indexed Annuities.
  • Estimate the betas of common stocks. (Not that I believe in MPT?)
  • Trade corporate bonds.
  • Gauge the overall risk cycle, in concert with other indicators.

If there is interest on the part of readers, I can go into the details of any of the above. Perhaps that could be the basis for future articles in this series. Today?s article is on the following relationships:

  • The relationship of percentage changes in the old VIX to percentage changes in the S&P 500.
  • The relationship of the old VIX to the new VIX.
  • How quickly does the VIX mean revert, and
  • The relationship of the VIX to price levels of the S&P 500.
  • Maybe there will even be some hints at profitable trading rules. 🙂

The relationship of percentage changes in the old VIX to percentage changes in the S&P 500

I have a rule of thumb that I calculated a long time ago that the percentage change in the old VIX (and the new VIX, almost) is usually about ten times the percentage change in the S&P 500, and with the opposite sign. Well, I went and re-estimated the relationships. What do they look like?

Chart 5

The best fit line almost goes through the origin, and the slope is ?0.0993. Inverting that, the value for my rule of thumb is 10.07. (Hey, that?s pretty close!) The best fit line explains about 50% of the variation in changes in the S&P 500.

I used the Old VIX because the data goes all the way back to the beginning of 1986, versus the new VIX, which starts at the beginning of 1990.

The relationship of the old VIX to the new VIX

I think differences in the two measures can be overstated. The two measures are 98.6% correlated. This equation describes the relationship:

New VIX = 2.04 + (Old VIX * 0.86)

Chart 6

The relationship is tighter when the VIXs are low, and gets a touch looser when the VIXs gets higher (no surprise, many relationships get strained in volatile times. That also implies that percentage changes in the new VIX should be about 86% of the changes in the old VIX, so my rule of thumb applied to the new VIX would be, ?The percentage change in the new VIX is usually about 8.6 times the percentage change in the S&P 500, and with the opposite sign.? Still close to 10. I can live with that.

How quickly does the VIX mean revert?

Back in 1998, when I was developing my first generation old VIX / S&P 500 models, I came up with a statistic that said that the VIX mean-reverted to a level of 16, and it would tend to return at the rate of 20%/month, while being jolted by random disturbances pushing it to and away from the mean. The jolts are more powerful in the short run, but the mean-reversion is like gravity, inexorably pulling.

I have nine years more data now. Much of that time was a higher VIX era, so it is no surprise that the mean reversion target is 18.94. What is more interesting is that the reversion happens a little faster, at a rate of 28.2%/month, which means absent other disturbances, it closes half of the gap to the mean reversion target over 44 days. (Hey, pretty close to 50 days? could that be significant?)

This helps to show that snapback rallies after crises are so reliable in their appearance. Given the strength of the mean reversion effect in volatility, for the VIX to stay elevated for a long period of time requires a series of crises akin to what we had in 1998-2002.

Chart 2


I experienced the pain of that firsthand managing mortgage and then corporate bonds. Bond yield spreads are very highly correlated with the implied volatilities of stocks, and the yield spreads on bond indexes are highly correlated with the implied volatility on broad market equity indexes, like the VIX.

(Note for wonks: I estimated the mean reversion level (which is very close to the historic mean, no surprise) by regressing the one-day lagged Old VIX on the Old VIX itself. If you want how the math works on that, I can provide it, but it will make most readers go ?huh??)

The relationship of the VIX to price levels of the S&P 500

Finally, the most controversial bit. The S&P 500 tends to be lower than trend when the VIX is high, and higher than trend when the VIX is low. In equation form, it would look like this. (Sn is the S&P 500 at time n, and the same for V, the Old VIX. The V with a bar over it is the mean reversion target for the VIX.

Equation 1

In other words, the S&P tends to rise at a constant rate r, over time n, unless the VIX is above or below its long run average. Now, this is an oversimplification. I am using a very simple function form to allow me to come up with a result for now. There is probably some better functional form our there based off of Black-Sholes, or something like that, that wil do a better job. This is what I have for now.

Taking logs and simplifying, I get:

Equation 2

I know the S&P 500 and the old VIX over time, so I can estimate the parameters a, r, and e. The regression explains 88% of the variation in the S&P 500. a works out to be 4.94, which implies an S0 of 263.42, which is not far off from the actual starting value of 242.17. The rate of growth for the S&P 500, r, is 9.30% which is consistent with the actual result of 9.45% (not counting dividends, and running from 1987 to the present). Finally, e, the shape parameter on the old VIX is 21.5%. What this means is when the old VIX is double its mean-reversion target, the S&P 500 should be 16% above trend, and when the old VIX is half its mean-reversion target, the S&P 500 should be 14% below trend.

Chart 4

Wait, isn?t that backwards? How can a high VIX be associated a high price for the S&P 500, and vice versa for a low VIX? (I blinked when I first saw this, but the coefficients are statistically significant at a very high level.) This is my explanation: when the VIX is high, the equation anticipates mean-reversion, and so gives a value that reflects what the S&P will be worth once volatility mean reverts. Vice-versa for when the VIX is low.

What does that imply for today? Putting the old VIX closing value of 25.18 into the equation would predict an S&P 500 price of 1898.90, a little more than 30% above the current quote. Time to buy!

Limitations

Well, not so fast. This is a deliberately simplified model compared to the realities of the market. Does the S&P 500 go up 9.3% annually? No, but over a long period, it seems to. Do I have the right functional form for the effect of the VIX? No, but this equation will be right to a first approximation. What about interest rates? Couldn?t they be included as a valuation parameter? Sure, maybe in the next round. They certainly helped in the ?Fed Model.?

Don?t I have lookback bias here? If I were back in early 1987, would I think that the mean reversion target for the VIX should be 18.94? Maybe back then, but one would scratch his head in 1994, 2002, and 2006. The data fits very well inside the sample, but how well it will work in the future is always open to question. Every economic era is special, and blindly applying old parameters when the game might be changing is dangerous.

Possible trading rules

All that said, here are a number of trading rules that can be concocted from this study, and many work in hindsight. They boil down to buy when the VIX is high (panic), and sell when it is low (complacency). In future posts, I can work through a few of them, subject to the warning that data-mining can be hazardous to your financial health. (I have tried to pass through the data as few times as possible, but I have doubts?) I have found that being picky can generate big gains, but with few signals over long time periods (wait, isn?t that just the rise in the market?), and shorter-term systems generate many signals, but over short time spans, for small gains.

As an example of a system, you can look at Babak?s method using distance of the VIX from its 50-day moving average. 50 days? Close to the half-life mean reversion time. Looks like it can generate some good trades. Anyway, more later; hope you enjoyed this article.

Looking at Eleven of my Indicators

Looking at Eleven of my Indicators

I may or may not get to my part 2 on speculation because of the market action today.? I will get to that tomorrow.? Today I think it would be best for my readers if I just run through my market indicators.? Here goes:

  1. My knockoff of a famous oscillator indicates that we are ready for a short-term bounce.? That bounce may have started at 3PM yesterday, when volume climaxed near the low of the day.? That biases me long in the short run.
  2. On the other hand, the VIX under-reacted to the fall yesterday, indicating that not enough player reached for puts to hedge their positions.
  3. The Merger Fund has had a bigger correction than in February-March.? It is likely due to difficulties with deal financing.? Nonetheless, it is an indicator of how the gears of the market are jamming up.
  4. Bond volatility, whether measured by the MOVE or LBOX indexes, indicate a more volatile environment.? No surprise that prime mortgage securities have been hit.
  5. Credit spreads have widened dramatically.? Yields are another matter.? With the fall in Treasury yields, yields on bonds single-A and above have fallen in yield, whereas bonds BBB and below have risen in yield.? High credit quality corporations have a real advantage in this market.
  6. The emerging markets have gotten whacked, wholesale.
  7. The Euro and Yen are strong, and looking at falling forward interest rate differentials, threaten to get stronger.
  8. There is some liquidation happening in some carry trades.? The New Zealand Dollar has gotten whacked versus the yen over the past two days.? In general, the last three days have differentiated between countries with weak trade positions, and those with strong positions.
  9. Closed-end floating rate bank loan funds have gotten hammered recently.? Another casualty of the LBO financing problem, but worse than the raw economics of the funds would indicate.? Prices are falling much harder than NAVs.
  10. The FOMC seems tight at present, with Total Fed Credit growing slowly.? Fed funds has missed the target on the upside on average since the last meeting, and no permanent open market operations have happened.
  11. Equity and mortgage REITs have both been hit, with equity REITs hit harder (but still expensive), and mortgage REITs nearer to fair value on average.

That’s all for now.? In general, we are oversold, and should get a bounce Friday or Monday.? I favor Friday. This bounce will be short-term in nature, so don’t put a lot of long exposure on for now.

Speculation Away From Subprime, Part 1

Speculation Away From Subprime, Part 1

Subprime lending is grabbing a lot of attention, but it is only a tiny portion of what goes on in our capital markets.? Tonight I want to talk about speculation in our markets, while largely ignoring subprime.

  1. I have grown to like the blog Accrued Interest.? There aren’t many blogs dealing with fixed income issues; it fills a real void.? This article deals with bridge loans; increasingly, as investors have grown more skittish over LBO debt, investment banks have had to retain the bridge loans, rather than selling off the loans to other investors.? Google “Ohio Mattress,” and you can see the danger here.? Deals where the debt interests don’t get sold off can become toxic to the investment banks extending the bridge loans.? (And being a Milwaukee native, I can appreciate the concept of a “bridge to nowhere.”? Maybe the investment bankers should visit Milwaukee, because the “bridge to nowhere” eventually completed, and made it to South Milwaukee.? Quite an improvement over nowhere, right? Right?!? Sigh.)
  2. Also from Accrued Interest, the credit markets have some sand in the gears.? I remember fondly the pit in my stomach when my brokers called me on July 27th and October 9th, 2002, and said, “The markets are offered without bid.? We’ve never seen it this bad.? What do you want to do?”? I had cash on hand for bargains both times, but when the credit markets are dislocated, nothing much happens for a little while.? This was true after LTCM and 9/11 as well.
  3. I’ve seen a number of reviews of Dr. Bookstaber’s new book.? It looks like a good one. As in the last point, when the markets get spooked, spreads widen dramatically,and trading slows until confidence returns.? More bad things are feared to happen than actually do happen.
  4. I’m not a fan of shorting, particularly in this environment.? Too many players are short without a real edge.? High valuations are not enough, you need to have an uncommon edge.? When I short, that typically means an accounting anomaly.? That said, there is more demand for short ideas with the advent of 130/30 and 120/20 funds.? Personally, I think they are asking for more than the system can deliver.? Obvious shorts are full up, and inobvious shorts are inobvious for a reason; they aren’t easy money.
  5. From the “Too Many Vultures” file, Goldman announces a $12.5 billion mezzanine fund.? With so much money chasing failures, the prices paid to failures will rise in the short run, until the vultures get scared.
  6. Finally, and investment bank that understands the risk behind CPDOs.? I have been a bear on these for some time; perhaps the rapidly rising spread environment might cause a CPDO to unwind?
  7. Passive futures as a diversifier made a lot of sense before so many pension plans and endowments invested in it.? Recent returns have been disappointing, leading some passive investors to leave their investments in crude oil (and other commodities).? With less pressure on the roll in crude oil, the contango has lessened, which makes a passive investment in commodities, particularly crude oil, more attractive.
  8. Becoming more proactive on ratings?? I’m not holding my breath but Fitch may be heading that way on CMBS.? Don’t hold your breath, though.

Part 2 tomorrow.

The Five Pillars of Liquidity

The Five Pillars of Liquidity

Liquidity, that ephemeral beast.? Much talked about, but little understood.? There are five pillars of liquidity in the present environment.? I used to talk about three of them, but I excluded two ordinary ones.? Here they are:

  1. The bid for debt from CDO equity.
  2. The Private Equity bid for cheap-ish assets with steady earnings streams.
  3. The recycling of the US current account deficit.
  4. The arbitrage of investment grade corporations buying back their own stock, or the stock of other corporations, because with investment grade yields so low, it makes sense to do it, at least in the short run.
  5. The need of Baby Boomers globally to juice returns in the short run so that their retirements will be adequate.? With equities, higher returns; with bonds, more yield.? Make that money sweat, even if we have to outsource the labor that our children provide, because they are too expensive.

Numbers one and two are broken at present.? The only place in CDO-land that has some life is in investment grade assets.? We must lever up everything until it breaks.? But anything touched by subprime is damaged, and high yield, even high yield loans are damaged for now.

With private equity, it may just? be a matter of waiting a while for the banks to realize that they need yield, but i don’t think so.? Existing troubled deals will have to give up some of the profits to the lenders, or perhaps not get done.

Number three is the heavy hitter.? The current account deficit has to balance.? We have to send more goods, assets, or promises to pay more later.? The latter is what is favored at present, keeping our interest rates low, and making equity attractive relative to investment grade debt.? Until the majority of nations buying US debt revalue their currencies upward, this will continue; it doesn’t matter how much they raise their central bank’s target rate, if they don’t cool off their export sectors, they will continue to stimulate the US, and build up a bigger adjustment for later.

With private equity impaired, investment grade corporations can be rational buyers of assets, whether their own stock, or that of other corporations that fit their operating profiles. Until investment grade yields rise 1-2%, this will still be a factor in the markets, and more so for foreign corporations that have access to cheap US dollar financing (because of current account deficit claims that have to be recycled).

The last one is the one that can’t go away, at least not for another seven years as far as equities go, and maybe twenty years as far as debt goes.? There is incredible pressure to make the money do more than it should be able to under ordinary conditions, because the Baby Boomers and their intermediaries, pension plans and mutual funds, keep banging on the doors of companies asking for yet higher returns.? With debt, there is a voracious appetite for seemingly safe yet higher yielding debt.? The Boomers need it to live off of.

So where does that leave us, in terms of the equity and debt markets?? Investment grade corporates and munis should be fine on average; prime MBS at the Agency or AAA level should be fine.? Everything else is suspect.? As for equities, investment grade assets that are not likely acquirers look good.? The acquirers are less certain.? Even if acquisitions make sense in the short run, it is my guess that they won’t make sense in the long run. On net, the part of the equity markets with higher quality balance sheets should do well from here.? The rest of the equity markets… the less creditworthy their debt, the less well they should do.

Portfolio Notes — July 2007

Portfolio Notes — July 2007

I have three portfolios that I help manage. They are listed over at Stockpickr.com. The big one is insurance stocks, where I serve as the analyst, and have a lot of influence over what is selected, but don’t make the buy and sell decisions. The second is my broad market fund, over which I have full discretion. The last is my bond fund, which doesn’t have an independent existence, but fills the fixed income role for the two balanced mandates that I run, in which the broad market fund serves as the equity component. I’m going to run through each portfolio, and hit the high points of what I think about my holdings. Here we go:
Bond PortfolioI sold our last corporate loan fund in early June. We made a lot of money off these over the past two years as LIBOR rose, and the discounts to NAV turned into premiums. New issuance of corporate loans has been more poorly underwritten. I’m not coming back to the corporate loan funds until I see high single digit discounts to NAV, and signs that credit quality is flattening from its recent decline.

The portfolio is clearly geared toward preservation of purchasing power. We have TIPS and funds that invest in inflation-sensitive bonds [TIP, IMF]. We have foreign bonds [FXC, FXF, FXY, FAX, FCO]. The Yen and Swiss Franc investments are there as systemic risk hedges. The Canadian bonds and the two Aberdeen funds are there for income generation. If energy stays up, Canada might never need to borrow in the future. I also have a short-term bond fund [GFY] trading at a hefty discount, and cash. Finally, I have a speculative deflation in long Treasuries. [TLT]

This is a very eclectic portfolio that has done very well over the last 24 months. This portfolio will underperform if any of the following happen:

  • Inflation falls
  • The dollar strengthens
  • The yield curve steepens amid the Fed loosening
  • Credit spreads tighten

The Broad Market Portfolio

There are four things that give me pause about RealMoney. First, there is a real bias toward sexy stocks, and commonly known stocks. That bias isn’t unusual; it plagues all amateur investors. Two, few players talk about bonds, and how to make money from them, as well as reducing risk. Three, almost everyone trades more than me. Finally, there is a “home turf” bias, where everyone sticks to their niche, whether it is in favor or not.

I try to be adaptive in my methods through careful attention to valuation and industry rotation. Underlying all of it, though, is a focus on cheap valuations. There are seven summary categories here at present, and then everything else. Here are the categories:

  1. Energy — Integrated, Refining, E&P, Services, Synfuels. I am still a bull here.
  2. Light Cyclicals — Cement, Trucking, Chemicals, Shipping, Auto Parts
  3. Odd financials — European banks, an odd mortgage REIT [DFR], and Allstate [ALL].
  4. Latin America — SBS, IBA, GMK. All are plays on the growing buying power in Latin America.
  5. Turnarounds — SPW, SLE, JNY. Give them time; Rome wasn’t burnt in a day.
  6. Technology — NTE, VSH. Stuff that is not easily obsoleted.
  7. Auto Retail — LAD, GPI.

So far this overall strategy has been a winner for the past seven years. No guarantees on the future, though. In the near term, rebalancing trades could include purchases of JNY and sales of DIIB and SPW. Beyond that, I am waiting for a week or so to sell my Lyondell. It is possible that another bid might materialize. Allstate is also on the sell block, though, I might just trim a little. What makesme more willing to sell the whole position is the disclosure of an above average position in subprime loans.

Insurance

There is one easy play going into earnings season, and one moderate play. Beyond that, there is dabbling in the misunderstood.

Easy: buy asset sensitive life insurers, ones with large variable annuity, life and pension businesses. Who? LNC, NFS, SLF, MFC, PNX, PRU, MET, HIG, and PFG. Why? Average fees from domestic equities are up 5% over the first quarter, and the third quarter looks even better for now. Guidance could be raised. Away from that, the dollar fell by 2% on average over the quarter, so those with foreign operations (excluding Japan) should do well also, all other relevant things equal.
Moderate: no significant hurricanes so far. Given that there is some positive correlation between June-July, and the rest of the season, are you willing to hazard some money on a calm storm season? With global warming DESTROYING OUR PLANET!!!! (not, this is cyclical, not secular.) If you are willing to speculate, might I recommend FSL? They manage their business well, though they are new.

Beyond that, I would commend to you both Assurant (a truly great company that will survive the SEC), and Safety Insurance (investors don’t get the risks here, they are small, and management is smart).

Summary

Managing portfolios has its challenges. One has to balance risk and reward on varying investments. Sometimes the market goes against you, and you question your intelligence. But good fundamental managers persevere over time, and produce good returns for their investors. That’s what I aim to do.

Full Disclosure: all of my portfolios are listed here.

Late editorial note: where I wrote FSL above, I meant FSR.? Thanks to Albert for pointing the error out.

Ten Important, but not Urgent Articles to Ponder

Ten Important, but not Urgent Articles to Ponder

I am an investor who does not consider background academic and semi-academic research to be worthless, even though I am skeptical of much of quantitative finance. Here are a few articles to consider that I think have some importance.

  1. Implied volatility is up. Credit spreads are up, and the equity market has not corrected. Time to worry, right? Wrong. When implied volatilities (and credit spreads) are higher, fear is a bigger factor; valuations have already been suppressed. Markets that rally against rising implied volatility typically have further rises in store.
  2. Many thanks to those that liked my piece on the adaptive markets hypothesis. Here is a piece about Andrew Lo, one of the biggest proponents of the AMH, which fleshes out the AMH more fully. I would only note that the concept of evolution is not necessary to the AMH, only the concepts inherent in ecological studies. Also, all of the fuss over neuropsychology is cute, but not necessary to the AMH. It is all a question of search costs versus rewards.
  3. John Henry alert! Will human equity analysts be replaced by quantitative models? Does their work have no value? My answer to both of those questions is a qualified “no.” Good quant models will eat into the turf of qualitative analysts, and kick out some of the marginal analysts. As pointed out by the second article analysts would do well to avoid focusing on earnings estimates, and look at other information that would provide greater value to investors from the balance sheet and cash flow statement. (I am looking at Piotroski’s paper, and I think it is promising. He has made explicit many things that I do intuitively.
  4. I work for a hedge fund, but I am dubious of the concept of double alpha. It sounds nice in theory: make money off of your shorts and longs without taking overall market risk. As I am fond of saying, shorting is not the opposite of being long, it is the opposite of being leveraged long, because in both cases, you no longer have discretionary control over your trade. Typically, hedge fund investors are only good at generating alpha on the long side. The short side, particularly with the crowding that is going on there is much tougher to make money at. If I had my own hedge fund, I would short baskets against my long position, and occasionally companies that I knew had accounting problems that weren’t crowded shorts already (increasingly rare).
  5. Maybe this one should have run in my Saturday piece, but some suggest that we are running out of certain rare metals. I remember similar worries in the early 70s, and we found a lot more of those metals than we thought possible then. There is probably a Hubbert’s peak for metals as well, but conservation will increase the supply, and prices will rise, quenching demand.
  6. For those that remember my piece, “Kiss the Equity Premium Goodbye,” you will be heartened to know that my intellectual companion in this argument, Morningstar, has not given up. Retail investors buy and sell at the wrong times because of fear an greed, so total returns are generally higher than the realized returns that the investors recieve.
  7. When there are too many choices, investors tend to get it wrong. When there is too much information, investors tend to get it wrong. Let’s face it, we can make choices between two items pretty well, but with many items we are sunk; same for choosing between two interpretations of a situation versus many interpretations. My own investing methods force me to follow rules, which limits my discretion. It also forces me to narrow the field rapidly to a smaller number of choices, and make decisions from that smaller pool. When I make decisions for the hedge funds that I work for, I might take the dozen names that I am long or short, and compare each pair of names to decide which I like most and least. Once I have done that, numeric rankings are easy; but this can only work with small numbers, because the number of comparisons goes up with the square of the number of names.
  8. Jeff Miller aptly reminds us to focus on marginal effects. When news hits, the simple linear response is usually wrong because economic actors adapt to minimize the troubles from bad news, and maximize the benefits from good news. People don’t act as if they are locked in, but adjust to changing conditions in an effort to better their positions. The same is true in investing. Good news is rarely as good as it seems, and bad news rarely as bad.
  9. This article describes sector rotation in an idealized way versus the business cycle, and finds that one can make money using it. Cramer calls methods like this “The Playbook.” (Haven’t heard that in a while from Cramer. I wonder why? Maybe because the cycle has been extended.) I tend not to use analyses like this for two reasons. First, I think it pays more to look at what sectors are in or out of favor at a given moment, and ask why, because no two cycles are truly alike. They are commonalities, but it pays to ask why a given sector is out of line with history. Second, most of these analyses were generated at a time when the US domestic demand was the almost total driver of economic activity. We are now in a global economic demand context today, and those that ignore that fact are underperforming at present.
  10. Finally, it is rare when The Economist gets one wrong. But their recent blurb on bond indexing misses a key truth. So bigger issuers get a greater weight in bond indexes. Index weightings are still proportional to the range of choices that a bond manager faces. Care to underweight a big issuer because they have too much debt outstanding? Go ahead; there are times when that trade is a winner, and times when it is a loser. Care to buy securities away from the index? Go ahead, but that also can win or lose. If bond indexes fairly represent the average dollar in the market, they have done a good job as a benchmark; that doesn’t mean they are the wisest investment, but indexes by their very nature are never the wisest investment, except for the uninformed.

Well, that’s it for this evening. Let’s see how the market continues to move against the shorts; there are way too many shorts, and too many people wondering why the market is so high. Modifying the concept of the pain trade, maybe the confusion trade is an analogue, the market moves in a way that will confuse the most people.

At The Periphery of Investing

At The Periphery of Investing

I have a friend who works for the Williams Inference Service.? Those who work for WIS spend their time looking for deep trends in our world that are underappreciated.? I dedicate a little of my time to that as well, and try to draw investable conclusions from odd bits of data that come across my radar.? But even without explicit conclusions, it richens my knowledge of our world, and perhaps with other data, will yield some return for me.? If nothing else, I love reading and writing, so join with me on this tour of articles around the web.

  1. I’m not sure if pollution problems in China are any worse than the problems faced by the US or the UK at similar points in their development.? That said, one major constraint on their ability to grow is pollution.? These articles from the Wall Street Journal are an excellent example of that: heavy metals in the food supply, and lead in jewelry that they sell domestically and export, with the lead coming from US scrap metal.? These practices may allow businesses to survive in the short run, but soon enough, jewelry will get tested in the US, and importers sued for liability.? In China, there will be increasing pressure for change, perhaps even violent change.? In Chinese history, there is a tendency for change not happen, or to happen rapidly when troubles for average people become too great.
  2. Demographics is a favorite topic of mine, particularly as the world slowly heads into a shrinking population.? For the most part, national economies don’t work so well when population levels shrink, which leads to pressure to import low skilled laborers from nations with surplus workers.? One nation that is at the front of the problem is Japan, where the population is shrinking pretty rapidly today.? Japan is now seeing that its pension system will be hard to sustain because of the lack of children being born.? Europe will face this problem as well.? The US less so, because of the higher birth and immigration rates; for us, the foreign debt will be our problem.
  3. Is war with Iran a done deal in a few years?? I hope not.? Given the mismanagement of the Iranian economy in the hands of the cronyist mullahs that run the joint, and the genuine difficulty of producing effective nuclear weapons without a strong academic/technical/manufacturing base, my guess is that there will be another revolution there before a significant bomb gets made.? (We’re still waiting on North Korea; what a joke.)? Economically, Iran is a basket case.? As I have mentioned before, they have mismanaged their oil resources.? What is less noticed is their coming demographic troubles.? Not all Muslims are fanatics, and many are having small families, which will generate it’s own old age crisis thirty years out.? That said, if Iran is provoked, it’s leaders will not give in; they iwill fight, as the second article i cited points out.? Better to quietly hem the current Iranian leadership in by supporting their enemies, than to risk another war that the US does not have the resources to fight.? Iran is weaker and more divided than it looks; its government will fall soon enough.
  4. Memo to all quantitative investors: are you ready for IFRS?? IFRS, the European accounting standard, particularly for financials will change enough things that older formulas of calculating value and safety may need to be severely modified.? The larger the importance of accrual items to an industry, the worse the adjustment will be.? All I say is, watch this.? If it changes, it will affect the way that we numerically analyze investments.? We are definitely losing foreign economies on our exchanges, mainly due to Sarbox, not accounting rules, but I think we are rushing through a compromise with IFRS to protect the interests of our exchanges, and I think that is a mistake.
  5. Then again, maybe we don’t need the Europeans to mess up our accounting rules; we can do just fine ourselves.? Our accounting standards are a hodgepodge between amortized cost and fair value standards… we keep moving more and more toward fair value, but will the auditors be able to keep up?? Auditing amortized cost is one thing; there are different skills required when fungible but not liquid assets can be written up on a balance sheet. (Think about real estate or mortgage derivatives.)? Accounting will become less reliable in my opinion.
  6. I wish we had a harder currency; why else do I buy foreign bonds?? Anyway, I appreciated this short partial monetary history of the US, from the Civil War onward, from Elaine Meinel Supkis.
  7. When you can’t deliver the underlying, typically futures markets don’t work well.? It is no surprise then that a derivatives market on economic indicators closed.? Futures markets exist to allow commercial interests to hedge.? Where there is nothing to hedge, it is akin to mere betting, and without the extra thrill of a sports contest, that rarely attracts enough interest to be economic.? That said, aren’t the VIX futures and options contracts catching on?
  8. Not sure what the second order effects will be here, but a rule is finally coming that will require the trade execution occur at the best price.? It will be extra work for the exchanges, but it will probably centralize exchanges in the intermediate term.? If you have to share data, why not merge?
  9. One reason that Buffett was/is that best was his ability to learn from mistakes.? He kept his mistakes small and eventually found ways out of many of them.? US Air?? Salomon Brothers?? He eventually gets cashed out.? General Re?? The earnings from investing float bails him out. The “Shoe Group” and World Book?? Small, and you can’t win them all.
  10. What do you do when the market has passed you by?? You got burned 2000-2002, and moved to a more conservative posture, only to find that the market ran like wild while you weren’t there.? What do you do now?? My advice: do half of what you would do if the market hadn’t run.? If you are at 20% equities, and you know that in normal times you should be at 60% equities, raise your investment level to 40% equities.? If the market rallies, you have more on, if it falls, you will have the chance to reinvest another 20% into equities at more attractive prices.
  11. I usually agree with Eddy Elfenbein; he’s very common sense.? But here I do not.? Get me right here, Eddy is correct in all that he says.? I frame the problem differently.? You have someone sitting on cash, and the market has appreciated to where valuations are high-ish.? You can? 1) invest it all now, 2) dollar cost average, or 3) do nothing.? Eddy doesn’t consider that many will choose 3.? On average, 1 beats 2 by a small margin, but 2 beats 3 by a wide margin.? Dollar cost averaging is a way to get psychologically unprepared people into the market who would never risk putting it all in at once.? We use DCA to get inexperienced investors from a bad place to a “pretty good” place, because the best place is unimaginable to them.
  12. Desalination is the wave of the future, even in the US.? Potable water is scarce globally (think of India and China), and the cost of potable water justifies the energy and other costs associated with desalination.? The article that I cited does not capture the environmental costs of desalination, in my opinion, but it gives a good taste of what the future will hold.

And, with that, that completes my tour of the periphery.? Next week, I hope to provide more color for you on our changing risk environment.

The “Fed Model”

The “Fed Model”

Recently there has been a discussion of the so-called ?Fed Model,? with some questioning the validity of model, and others affirming it. Even the venerable John Hussman has commented on models akin to the Fed Model that he dislikes. This piece aims at taking a middle view of the debate, and explain where the Fed Model has validity, and where it does not.

What is the Fed Model?

The Fed Model is a reasonable but imperfect means of comparing the desirability of investing in stocks versus bonds. It can be considered a huge simplification of the dividend discount model, applied to the market as a whole, rather than an individual stock. The dividend discount model states that the value of the stock is equal to the future stream of dividends discounted at the corporation?s cost of equity capital.

What simplifying assumptions get applied to the dividend discount model to create the Fed Model?

  1. The market as a whole is considered rather than individual stocks.
  2. A constant ratio of earnings is paid out as dividends.
  3. The growth rate of earnings is made constant.
  4. A Treasury yield (or high/moderate quality corporate bond yield) is substituted for the cost of equity capital.
  5. Instead of following a strict discounting method, the equation is rearranged to make an explicit comparison between bond yields and equity yields.

Assuming that the dividend discount model is valid, or at least approximately so, what do these simplifying assumptions do to the accuracy of valuing the market as a whole? The first assumption is more procedural in nature, and does no major harm. The fifth assumption simply reorganizes the equation, and doesn?t affect the outcome, but only the presentation. The real changes come from assumptions 2-4.

Dividends are more stable than earnings, so the payout ratio certainly varies over time. Additionally, corporations have shown less willingness to pay dividends, and investors have shown less inclination to demand dividends, to the payout ratio today is roughly half of what it was in the early 60s.

Fed Model Chart 3

Earnings don?t grow at a constant rate, either. Over the last 53 years, earnings have grown at a 6.7% rate, but that has included times of shrinkage, and boom times as well.

Fed Model Chart 4

As for the cost of capital to a corporation, I believe that the Capital Asset Pricing Model is genuinely wrong, and I refer you to Roll?s famous critique for what should have been its burial. Academics need risk to be something simple though, with risk being the same for all investors (not true), so that they can easily calculate their models, and publish. The CAPM provides useful, if mistaken, simplification to financial economists. It is not going away anytime soon.

One day I will write an article to explain my cost of equity capital methods in more depth, which derive corporate bonds and option pricing theory. In basic, for any corporation, the basic idea is to compare the riskiness of the equity to that of a bond. Look at the yield on juniormost debt security of the firm, the cost of equity is higher than that. Examine the implied volatility [IV] on the longest dated at the money options for the firm. How do those implied volatilities compare with other firms? In general the higher the IV, the higher the cost of equity capital.

Practically, when looking at the capital structure of the firms in the S&P 500, I think that the yield on a BBB bond plus a spread could be a good proxy for the weighted average cost of capital for the firms as a group. I?ll get to what that spread might be in a bit. We have BBB yield series going back a long way. Equity risk for the S&P 500 (a high credit quality group) is probably akin to the risk of owning weak BB or strong single-B bonds on average. (My rule of thumb for cost of equity capital in an individual corporation is take the juniormost debt yield and add 3%. For those with access to RealMoney, I have written more on this here.)

To summarize then: there?s not much I can do about assumptions 2 and 3. The only thing I might say is that earnings are a better proxy for value creation than dividends, and that expectations for longer-term earnings growth do not change nearly as much as actual earnings growth does. On assumption 4, a BBB bond yield plus a spread will be a reasonable, though not perfectly accurate proxy for the cost of equity. My view is that spread should be between 2.5%-3.0%.

The Results

With that, the ?Fed Model? boils down to a comparison of BBB bond yields less a spread versus earnings yields. Wait, ?less? a spread? Didn?t I say ?plus? above?

Let?s consider how a stock differs from a bond. With a bond, all that you can hope to get is your principal and interest paid on a timely basis. With equity, particularly in a diversified portfolio, one can expect over the long term growth in the value of the business from a growing dividend stream, and reinvestment of retained earnings. As I mentioned above, that has averaged 6.7%/year earnings growth over the past 53 years.

If I were trying to balance the yield needed from bonds to compete with equities, it would look like this, then:

Earnings Yield + 6.7% = BBB bond yield plus 2.5-3.0%

Or,

Earnings Yield = BBB bond yield – 4% (or so)

Here is how earnings yields and BBB bond yields have compared over the years.

Fed Model Chart 5

Thus my criteria for investing would be under the ?Fed Model,? when the earnings yield is more than 4% less than the BBB bond yield, invest in bonds. Otherwise, invest in stocks. Following this method, how would a portfolio have done since 1954?

Fed Model Chart 1

Wow. Pretty good rule, in hindsight. Is the spread of 4% the best spread for simulation purposes?

Fed Model Chart 2

Pretty close. The optimum value is 3.9%. This chart uses an actuarial smoothing method to give a fairer view of noisy historical results. (Life actuaries use this smoothing method in cash flow testing to calculate required capital, because sometimes small changes in spread produce large differences in the results for a particular scenario.)

The strategy produces a return roughly 2.0%/year higher than investing in stocks only, with a standard deviation roughly 1.5%/year lower. At least in a backtest, my version of the ?Fed Model? works.

Limitations

Okay, given the above, I endorse my version of the ?Fed Model? as being useful, but with five caveats:

The first thing to remember is that the ?Fed Model? doesn?t tell you whether stocks are absolutely cheap, but whether they are cheap versus bonds. There may be other more desirable asset classes to choose from: cash, commodities, international bonds or equities, etc.

The second thing to remember is that when interest rates get low, yields do not reflect the true riskiness of bonds ? a slightly superior model would be 107% of BBB yields less 4.7%. But that could just be an artifact of backtesting. To its credit though, the slightly superior model behaves the way that it should in theory, in term of how credit spreads move.

Number three, ideally, all models would not use trailing earnings yields, but expected earnings yields. That said, trailing yields are objective, and expected yields have often proiven wrong at turning points.

The fourth limitation: a high earnings yield might reflect low earnings quality or profit margins higher than sustainable. No doubt that is possible, and particularly in the current era. On the flip side, there may be times when a low earnings yield might reflect high earnings quality or profit margins lower than sustainable. A rule is a rule, and a model is only a model; they don?t reflect all aspects of reality, they are just tools to guide us.

What P/E ratio would the current BBB bond yield (6.74%) support? I am surprised to say that it would support a P/E in the high 30s; 39.8 for the simple model, and 35.2 for the ?slightly superior? one. With the current trailing P/E at 18.1, that would indicate that on an unadjusted basis, the market could be twice as high as it is presently.

That thought makes me queasy, but here three other ways to look at it:

  • How inflated are profit margins? If they are going to regress by less than half, then stocks are still a bargain.
  • Are bond yields/spreads too low? The recycling of the current account deficit into US debt instruments keeps yields low, and the speculation in the credit markets keeps spreads low. What should be the normalized BBB yield?
  • Will earnings growth slow beneath the 6.7% average? If so, the spread needs to come down.

Fifth, this is simply a backtest, albeit one that conforms to my theories. The future may not resemble the past.

Conclusion

My version of the Fed Model provides us with a way of comparing corporate bond yields with earnings yields, giving credit for growth that happens in capitalist economies that are free from war on their home soil. There are reasons to think that current profit margins are overstated, and perhaps that corporate bond yields will rise. All of that said, there is a large provision for adverse deviation in the present environment.

I would rather be a moderate bull on stocks versus bonds in this environment as a result. Don?t go hog wild, but current bond yields are no competition for stocks at present. If you think bond yields will normalize higher, perhaps cash is the place you would rather be for now.

Quantitative Analysis is not Trivial — The Case of PB-ROE

Quantitative Analysis is not Trivial — The Case of PB-ROE

I debated on whether to post on this topic or not. I try to be a gentleman, so I don’t want to be too rough on those I criticize. Let me start out by saying that those I criticize have honorable intentions. They want to make investing simple for investors. Noble and laudable; the trouble comes when one over-simplifies, and errors get introduced as a result.

I am both a quantitative and a qualitative analyst, which makes me a little unusual. It also means that I am not as good as the best qualitative or quantitative analysts. To be the best, it takes dedication that would squeeze out spending too much time on the other skill. I have always tried to stay balanced, which helps me as a businessman, actuary and investor. Good problem solving requires looking at a problem from many angles, and then choosing the right analogy/tool to do the job.

One of my readers, Steve Milos, forwarded to me a piece from Merrill Lynch’s life insurance analyst suggesting that Price-to-Book — Return on Equity [PB-ROE] analyses were simply low P/E investing in disguise. I tossed back a comment “The Merrill analyst doesn’t understand what he is talking about. PB-ROE analyses are richer than low PE, though in a few environments, like the present, they are similar.”, prompting Steve to say, “LOL, I love that ? now tell me what you really think!”

I decided to let the matter drop until Zach Maxfield, one of the analysts from Bankstocks.com, posted a laudatory article on Ed Spehar’s piece. I didn’t learn what I am about to write in a day, so let me take you on a journey explaining how I came to learn that PB-ROE analyses are valuable.

Back in 1982, I was a graduate teaching assistant at UC-Davis. The professor that I worked for used regression analysis in financial analysis to try to separate out effects that might be more complex than current modeling would admit. I did not get a chance to use the idea though, until 1992, when I began value investing, after my Mom gave me a copy of Ben Graham’s “The Intelligent Investor.” As I began investing, I noted that some stocks seemed better valued using book, others by earnings, and some by other metrics. Initially I began doing rule-of-thumb tradeoffs like Price to (book plus 5 times earnings). Eventually I wondered whether I had the right tradeoff or not, and how I might work in other metrics like dividends, sales, cash from operations [CFO], and free cash flow [FCF].

I’m not sure when it hit me, but I decided to run a regression of price versus earnings, book, sales, FCF, and CFO. Reasoning that sectors have different economic models, I did separate runs by sector. Truly, I should have done it by industry, or subindustry, as I do it today, but my initial attempts still found promising inexpensive stocks.

It was not until 1998 that I ran into PB-ROE analysis for the first time. Morgan Stanley was marketing a derivative instrument that would reduce book, turn it into earnings, and reduce taxes at the same time. I became the external expert on that derivative instrument, while hating its sliminess. (The whole story is a hoot, but it would take too long, and isn’t relevant here. Suffice it to say that the EITF and the IRS killed it six months after the first transaction got done.)

For those who believed PB-ROE analysis, the derivative was a godsend — less book, more earnings. With my more general model, I said, “So what, give up book, get “earnings,” which come back to book value anyway. These are just accounting shenanigans.” I didn’t see the value of PB-ROE then.

By 2001, I was a corporate bond manager. The Society of Actuaries Investment Section recommended the book, “Investing by the Numbers” by Jarrod Wilcox. An excellent book, I learned a lot from it, and he explained the PB-ROE model to me for the first time. To the best of my knowledge, it is the only place where I have seen it explained.

Where does the PB-ROE model come from? It is a simplification of the dividend discount model. In 2004, I gave a talk to the Southeastern Actuaries Conference. The relevant pages are 5-11, where I go through an example of a PB-ROE analysis, and give the limitations of the analysis. There are several limitations, here they are:

 

  1. Encourages maximization of ROE in the short run, rather than the long run
  2. Revenue growth is often equated with earnings growth in practice
  3. ?Run rate earnings? is adjusted (operating) GAAP earnings, versus distributable earnings (free cash flow)
  4. Implicit assumption of constant earnings growth, required return, and dividend policy in the Price to Book versus ROE metric
  5. The model assumes that capital is the scarce resource needed to produce more earnings.
  6. ROA is more critical than ROE; it?s harder to achieve. In bull markets, anyone can add leverage.

 

Items 4 & 5 are the only problems intrinsic to the PB-ROE model; the rest are problems with how the model gets abused by practitioners. I don’t think that any industry fits those conditions perfectly, but I usually think that the are good enough for a first pass, and after that I make adjustments for different expected growth rates, excess capital, earnings quality and more.

 

PB-ROE is equivalent to low P/E investing when the regression line comes close to going through the origin (0,0). From my experience, that rarely happens. For my nine insurance subgroups (bigger than Mr. Spehar’s analysis — I cover them all), almost all of the intercept terms are different than zero with statistical significance. Or, as a colleague of mine said to me recently, “Thanks for teaching me how to do PB-ROE analysis,it really helped with my analyses on Japanese banks and US investment banks.”

 

Now, there is a seventh problem with PB-ROE, but it is more complex. So you run he regression and get the tradeoff of P/B versus ROE that the market is currently pricing. Is that the right tradeoff in the intermediate term, or are investors overvaluing or undervaluing ROE? Hard to tell, but when the regression line is flat or downward sloping (it happens every now and then), one has to question whether the market’s judgment is right or not.

 

In some environments, PB-ROE and low P/E investing will be similar, but that will not always be true. Do not accept a false simplification, even though it may be true at present. The PB-ROE model is richer, and works in more environments, after adjusting for the limitations listed above. PB-ROE is a very useful tool, and not “gobbledygook.”

Trailing E/P as a Function of Treasury Yields and Corporate Spreads

Trailing E/P as a Function of Treasury Yields and Corporate Spreads

As part of my 2-part project on the Fed Model, I want to give you the results of my recent investigation. This is the simpler of the two projects. A little while ago, Bespoke Investment Group published two little pieces on the relationship between the yield curve and the absolute level of the S&P 500 over short time periods. (You can see my comments below what they wrote.)

My data went from April 1954 to the present on a monthly basis. I regressed the yields on the three and ten-year treasuries, and a triple-B corporate bond spread series on twelve month trailing earnings yields for the S&P 500. The regression as a whole is highly statistically significant. Except for the t-statistic on the 10-year Treasury yield, the other regressors have t-statistics that are significant at a 95% level. I only did two passes on the data, because I didn’t realize until later that I had the spread series… in the first pass that did not have the spread series, the ten-year yield was significant.

Anyway, here are the statistics. What this says is that in the past trailing earnings yields tended to:

  1. decline when BBB spreads rose
  2. rise when three-year treasury yields rose
  3. rise when parallel shifts of the yield curve up
  4. rise when the yield curve flattens, with no adjustment in the overall height of the curve

The last three observations make sense, while the first one does not, at least not on first blush. Typically, I associate higher credit spreads with higher E/Ps, and thus lower P/Es, because tighter financing is associated with a lower willingness for equity investments to receive high valuations. I’m not sure what to do with that last observation; perhaps it is that my practical experience exists over the last 20 years which have been different than the whole data sample. Or, perhaps my readers will have a few ideas? 🙂

As for the main current upshot from this admittedly limited model is that current trailing E/Ps, and thus P/Es, are fairly valued against current treasury yields and bond spreads. Here are two graphs that illustrate this:

Clean yield slope graph

messy yield slope graph

The nice thing about these graphs is that they easily point out the stock market undervaluation relative to bonds in 1954, 1958, 1962, 1974, 1980, 1982, and September 2002, and overvaluation relative to bonds in 1969, early 1973, 1987, and March 2000 and March 2002. Now this model might have suggested staying in bonds for most of the 90s, but the 90s were a relatively good decade to be in bonds, though not as good as equities.

This is the first time I have done a post like this, and so I put it out for your consideration. Comments?

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