Sunday, July 26, 2009

SECULAR BEAR TRENDS

STUDY OF EARLIER SECULAR BEARS... Last Friday, I wrote that any bull market at the current time would most likely be "cyclical" as opposed to "secular". I'd like to elaborate on that distinction. Secular trends are very long term in nature and can last for decades. The last bull market from 1982 to 2000 was certainly secular. Cyclical trends are shorter in nature and represent corrections in the secular trend. The bear markets of 1987, 1990, and 1994 were cyclical in nature. In my 2004 intermarket book, I wrote that the 2000 collapse in stock prices ended the two decade long secular bull market in stocks and that a new secular bear market had started. I also wrote that "bull markets can take place during a secular bear market. However, such bull markets are cyclical in nature. As a result, they tend to be shallower and shorter than cyclical bull markets that take place during a secular bull market" (Intermarket Analysis, page 151). I also pointed out in that earlier text that the last two secular bears took place during the 1930s and the 1970s. Let's compare them to see if there are any lessons to be learned about the current situation.

THE SECULAR BEAR OF THE 1930S ... Chart 1 shows the secular bear market that started in 1929 and bottomed in 1932. That would seem to suggest that bear market lasted only three years. That, however, is open to interpretation. After rallying from 1932 to 1937, the Dow fell for the next five years into 1942 and lost half of its 1932-1937 rally. Stocks turned up again in 1942 but didn't exceed their 1937 peak until 1947 (ten years after that earlier peak). They didn't exceed their 1929 peak until 1954 (25 years later). It could be argued that the years from 1932 to 1942 represented a decade-long bottoming process in the stock market. That would put the final bottom 13 years after the 1929 top. A study of that earlier secular bear market showed that market bottoms during (or after) secular bears usually take a very long time to form. The secular bear during the 1970s took a very different shape.




SECULAR BEAR DURING THE 1970S WAS FLAT ... While the deflationary 1930s saw sharply falling stock prices, the inflationary 1970s trend was essentially flat. That period is shown in Chart 2. The Dow Industrials peaked in 1966 and traded in a huge sideways fashion until 1982. This difficult period lasted 16 years. The worst loss was suffered in 1973 and 1974 when the S&P 500 last half of its value. It wasn't until 1982 (eight years later) that stocks began another secular bull trend. Chart 2 shows several cyclical bull markets taking place during the 1970s. But they took place within a 16-year period of a flat secular trend. That demonstrates that secular bear markets don't necessarily entail constantly falling prices. [In constant dollar terms adjusted for inflation, however, the inflationary 1970s were almost as damaging as the deflationary 1930s]. It's hard to say which of those two earlier models fits the current situation (or if either one does). One thing does seem clear however. Secular bull markets are usually followed by secular bear markets which can last a long time. If 2000 marked the end of the last secular bull, we've been in a secular bear for nine years.




THE DECADE AFTER MARKET BOOMS ARE NOT VERY GOOD ... That headline is taken from my earlier intermarket book and was written in 2003. I thought it might be interesting to quote some of the conclusions that were written at that time: "The reason for our examination of these prior eras is to demonstrate that the decade (or two) after the end of a stock market boom is usually characterized by relatively trendless action. That does not bode well for the coming decade...The important thing is to recognize that the next decade will probably look much different than the last two decades...It will require a different philosophy, a different set of tools, and a different time horizon...The "buy and hold" approach that worked so well over the past 20 years is not going to work as well...Bull and bear markets will be shorter in duration...Successful investing is going to require more skill at market timing". The S&P 500 trend in Chart 3 certainly seems to have fulfilled that dour forecast in the years since 2000. That's why it's important to understand the nature of long-term secular trends and the role shorter-term cyclical trends play in those longer trends. And why I believe a bull market at the current time may be more "cyclical" than "secular".

Sunday, July 5, 2009

WARREN BUFFETT ON THE STOCK MARKET

FORTUNE
Thursday, December 6, 2001
By Carol Loomis

From Fortune Magazine:

"Two years ago, following a July 1999 speech by Warren Buffett, chairman of Berkshire Hathaway, on the stock market--a rare subject for him to discuss publicly--FORTUNE ran what he had to say under the title Mr. Buffett on the Stock Market (Nov. 22, 1999). His main points then concerned two consecutive and amazing periods that American investors had experienced, and his belief that returns from stocks were due to fall dramatically. Since the Dow Jones Industrial Average was 11194 when he gave his speech and recently was about 9900, no one yet has the goods to argue with him.

So where do we stand now--with the stock market seeming to reflect a dismal profit outlook, an unfamiliar war, and rattled consumer confidence? Who better to supply perspective on that question than Buffett?

The thoughts that follow come from a second Buffett speech, given last July at the site of the first talk, Allen & Co.'s annual Sun Valley bash for corporate executives. There, the renowned stockpicker returned to the themes he'd discussed before, bringing new data and insights to the subject. Working with FORTUNE's Carol Loomis, Buffett distilled that speech into this essay, a fitting opening for this year's Investor's Guide. Here again is Mr. Buffett on the Stock Market. "

Warren Buffett:

The last time I tackled this subject, in 1999, I broke down the previous 34 years into two 17-year periods, which in the sense of lean years and fat were astonishingly symmetrical. Here's the first period. As you can see, over 17 years the Dow gained exactly one-tenth of one percent.

Dow Jones Industrial Average
Dec. 31, 1964: 874.12
Dec. 31, 1981: 875.00

And here's the second, marked by an incredible bull market that, as I laid out my thoughts, was about to end (though I didn't know that).

Dow Industrials
Dec. 31, 1981: 875.00
Dec. 31, 1998: 9181.43

Now, you couldn't explain this remarkable divergence in markets by, say, differences in the growth of gross national product. In the first period--that dismal time for the market--GNP actually grew more than twice as fast as it did in the second period.

Gain in Gross National Product
1964-1981: 373%
1981-1998: 177%

So what was the explanation? I concluded that the market's contrasting moves were caused by extraordinary changes in two critical economic variables--and by a related psychological force that eventually came into play.

Here I need to remind you about the definition of "investing," which though simple is often forgotten. Investing is laying out money today to receive more money tomorrow.

That gets to the first of the economic variables that affected stock prices in the two periods--interest rates. In economics, interest rates act as gravity behaves in the physical world. At all times, in all markets, in all parts of the world, the tiniest change in rates changes the value of every financial asset. You see that clearly with the fluctuating prices of bonds. But the rule applies as well to farmland, oil reserves, stocks, and every other financial asset. And the effects can be huge on values. If interest rates are, say, 13%, the present value of a dollar that you're going to receive in the future from an investment is not nearly as high as the present value of a dollar if rates are 4%.

So here's the record on interest rates at key dates in our 34-year span. They moved dramatically up--that was bad for investors--in the first half of that period and dramatically down--a boon for investors--in the second half.

Interest Rates, Long-Term Government Bonds
Dec. 31, 1964: 4.20%
Dec. 31, 1981: 13.65%
Dec. 31, 1998: 5.09%

The other critical variable here is how many dollars investors expected to get from the companies in which they invested. During the first period expectations fell significantly because corporate profits weren't looking good. By the early 1980s Fed Chairman Paul Volcker's economic sledgehammer had, in fact, driven corporate profitability to a level that people hadn't seen since the 1930s.

The upshot is that investors lost their confidence in the American economy: They were looking at a future they believed would be plagued by two negatives. First, they didn't see much good coming in the way of corporate profits. Second, the sky-high interest rates prevailing caused them to discount those meager profits further. These two factors, working together, caused stagnation in the stock market from 1964 to 1981, even though those years featured huge improvements in GNP. The business of the country grew while investors' valuation of that business shrank!

And then the reversal of those factors created a period during which much lower GNP gains were accompanied by a bonanza for the market. First, you got a major increase in the rate of profitability. Second, you got an enormous drop in interest rates, which made a dollar of future profit that much more valuable. Both phenomena were real and powerful fuels for a major bull market. And in time the psychological factor I mentioned was added to the equation: Speculative trading exploded, simply because of the market action that people had seen. Later, we'll look at the pathology of this dangerous and oft-recurring malady.

Two years ago I believed the favorable fundamental trends had largely run their course. For the market to go dramatically up from where it was then would have required long-term interest rates to drop much further (which is always possible) or for there to be a major improvement in corporate profitability (which seemed, at the time, considerably less possible). If you take a look at a 50-year chart of after-tax profits as a percent of gross domestic product, you find that the rate normally falls between 4%--that was its neighborhood in the bad year of 1981, for example--and 6.5%. For the rate to go above 6.5% is rare. In the very good profit years of 1999 and 2000, the rate was under 6% and this year it may well fall below 5%.

So there you have my explanation of those two wildly different 17-year periods. The question is, How much do those periods of the past for the market say about its future?

To suggest an answer, I'd like to look back over the 20th century. As you know, this was really the American century. We had the advent of autos, we had aircraft, we had radio, TV, and computers. It was an incredible period. Indeed, the per capita growth in U.S. output, measured in real dollars (that is, with no impact from inflation), was a breathtaking 702%.

The century included some very tough years, of course--like the Depression years of 1929 to 1933. But a decade-by-decade look at per capita GNP shows something remarkable: As a nation, we made relatively consistent progress throughout the century. So you might think that the economic value of the U.S.--at least as measured by its securities markets--would have grown at a reasonably consistent pace as well.

The U.S. Never Stopped Growing

Per capita GNP gains crept in the 20th century's early years.
But if you think of the U.S. as a stock, it was overall one helluva mover.
Year 20th-Century growth in per capita GNP
(constant dollars)
1900-10 29%
1910-20 1%
1920-30 13%
1930-40 21%
1940-50 50%
1950-60 18%
1960-70 33%
1970-80 24%
1980-90 24%
1990-2000 24%

That's not what happened. We know from our earlier examination of the 1964-98 period that parallelism broke down completely in that era. But the whole century makes this point as well. At its beginning, for example, between 1900 and 1920, the country was chugging ahead, explosively expanding its use of electricity, autos, and the telephone. Yet the market barely moved, recording a 0.4% annual increase that was roughly analogous to the slim pickings between 1964 and 1981.

Dow Industrials

Dec. 31, 1899: 66.08
Dec. 31, 1920: 71.95

In the next period, we had the market boom of the '20s, when the Dow jumped 430% to 381 in September 1929. Then we go 19 years--19 years--and there is the Dow at 177, half the level where it began. That's true even though the 1940s displayed by far the largest gain in per capita GDP (50%) of any 20th-century decade. Following that came a 17-year period when stocks finally took off--making a great five-to-one gain. And then the two periods discussed at the start: stagnation until 1981, and the roaring boom that wrapped up this amazing century.

To break things down another way, we had three huge, secular bull markets that covered about 44 years, during which the Dow gained more than 11,000 points. And we had three periods of stagnation, covering some 56 years. During those 56 years the country made major economic progress and yet the Dow actually lost 292 points.

How could this have happened? In a flourishing country in which people are focused on making money, how could you have had three extended and anguishing periods of stagnation that in aggregate--leaving aside dividends--would have lost you money? The answer lies in the mistake that investors repeatedly make--that psychological force I mentioned above: People are habitually guided by the rear-view mirror and, for the most part, by the vistas immediately behind them.

The first part of the century offers a vivid illustration of that myopia. In the century's first 20 years, stocks normally yielded more than high-grade bonds. That relationship now seems quaint, but it was then almost axiomatic. Stocks were known to be riskier, so why buy them unless you were paid a premium?

And then came along a 1924 book--slim and initially unheralded, but destined to move markets as never before--written by a man named Edgar Lawrence Smith. The book, called Common Stocks as Long Term Investments, chronicled a study Smith had done of security price movements in the 56 years ended in 1922. Smith had started off his study with a hypothesis: Stocks would do better in times of inflation, and bonds would do better in times of deflation. It was a perfectly reasonable hypothesis.

But consider the first words in the book: "These studies are the record of a failure--the failure of facts to sustain a preconceived theory." Smith went on: "The facts assembled, however, seemed worthy of further examination. If they would not prove what we had hoped to have them prove, it seemed desirable to turn them loose and to follow them to whatever end they might lead."

Now, there was a smart man, who did just about the hardest thing in the world to do. Charles Darwin used to say that whenever he ran into something that contradicted a conclusion he cherished, he was obliged to write the new finding down within 30 minutes. Otherwise his mind would work to reject the discordant information, much as the body rejects transplants. Man's natural inclination is to cling to his beliefs, particularly if they are reinforced by recent experience--a flaw in our makeup that bears on what happens during secular bull markets and extended periods of stagnation.

To report what Edgar Lawrence Smith discovered, I will quote a legendary thinker--John Maynard Keynes, who in 1925 reviewed the book, thereby putting it on the map. In his review, Keynes described "perhaps Mr. Smith's most important point ... and certainly his most novel point. Well-managed industrial companies do not, as a rule, distribute to the shareholders the whole of their earned profits. In good years, if not in all years, they retain a part of their profits and put them back in the business. Thus there is an element of compound interest (Keynes' italics) operating in favor of a sound industrial investment."

It was that simple. It wasn't even news. People certainly knew that companies were not paying out 100% of their earnings. But investors hadn't thought through the implications of the point. Here, though, was this guy Smith saying, "Why do stocks typically outperform bonds? A major reason is that businesses retain earnings, with these going on to generate still more earnings--and dividends, too."

That finding ignited an unprecedented bull market. Galvanized by Smith's insight, investors piled into stocks, anticipating a double dip: their higher initial yield over bonds, and growth to boot. For the American public, this new understanding was like the discovery of fire.

But before long that same public was burned. Stocks were driven to prices that first pushed down their yield to that on bonds and ultimately drove their yield far lower. What happened then should strike readers as eerily familiar: The mere fact that share prices were rising so quickly became the main impetus for people to rush into stocks. What the few bought for the right reason in 1925, the many bought for the wrong reason in 1929.

Astutely, Keynes anticipated a perversity of this kind in his 1925 review. He wrote: "It is dangerous...to apply to the future inductive arguments based on past experience, unless one can distinguish the broad reasons why past experience was what it was." If you can't do that, he said, you may fall into the trap of expecting results in the future that will materialize only if conditions are exactly the same as they were in the past. The special conditions he had in mind, of course, stemmed from the fact that Smith's study covered a half century during which stocks generally yielded more than high-grade bonds.

The colossal miscalculation that investors made in the 1920s has recurred in one form or another several times since. The public's monumental hangover from its stock binge of the 1920s lasted, as we have seen, through 1948. The country was then intrinsically far more valuable than it had been 20 years before; dividend yields were more than double the yield on bonds; and yet stock prices were at less than half their 1929 peak. The conditions that had produced Smith's wondrous results had reappeared--in spades. But rather than seeing what was in plain sight in the late 1940s, investors were transfixed by the frightening market of the early 1930s and were avoiding re-exposure to pain.

Don't think for a moment that small investors are the only ones guilty of too much attention to the rear-view mirror. Let's look at the behavior of professionally managed pension funds in recent decades. In 1971--this was Nifty Fifty time--pension managers, feeling great about the market, put more than 90% of their net cash flow into stocks, a record commitment at the time. And then, in a couple of years, the roof fell in and stocks got way cheaper. So what did the pension fund managers do? They quit buying because stocks got cheaper!
Private Pension Funds % of cash flow put into equities

• 1971: 91% (record high)

• 1974: 13%

This is the one thing I can never understand. To refer to a personal taste of mine, I'm going to buy hamburgers the rest of my life. When hamburgers go down in price, we sing the "Hallelujah Chorus" in the Buffett household. When hamburgers go up, we weep. For most people, it's the same way with everything in life they will be buying--except stocks. When stocks go down and you can get more for your money, people don't like them anymore.

That sort of behavior is especially puzzling when engaged in by pension fund managers, who by all rights should have the longest time horizon of any investors. These managers are not going to need the money in their funds tomorrow, not next year, nor even next decade. So they have total freedom to sit back and relax. Since they are not operating with their own funds, moreover, raw greed should not distort their decisions. They should simply think about what makes the most sense. Yet they behave just like rank amateurs (getting paid, though, as if they had special expertise).

In 1979, when I felt stocks were a screaming buy, I wrote in an article, "Pension fund managers continue to make investment decisions with their eyes firmly fixed on the rear-view mirror. This generals-fighting-the-last-war approach has proved costly in the past and will likely prove equally costly this time around." That's true, I said, because "stocks now sell at levels that should produce long-term returns far superior to bonds."

Consider the circumstances in 1972, when pension fund managers were still loading up on stocks: The Dow ended the year at 1020, had an average book value of 625, and earned 11% on book. Six years later, the Dow was 20% cheaper, its book value had gained nearly 40%, and it had earned 13% on book. Or as I wrote then, "Stocks were demonstrably cheaper in 1978 when pension fund managers wouldn't buy them than they were in 1972, when they bought them at record rates."

At the time of the article, long-term corporate bonds were yielding about 9.5%. So I asked this seemingly obvious question: "Can better results be obtained, over 20 years, from a group of 9.5% bonds of leading American companies maturing in 1999 than from a group of Dow-type equities purchased, in aggregate, around book value and likely to earn, in aggregate, about 13% on that book value?" The question answered itself.

Now, if you had read that article in 1979, you would have suffered--oh, how you would have suffered!--for about three years. I was no good then at forecasting the near-term movements of stock prices, and I'm no good now. I never have the faintest idea what the stock market is going to do in the next six months, or the next year, or the next two.

But I think it is very easy to see what is likely to happen over the long term. Ben Graham told us why: "Though the stock market functions as a voting machine in the short run, it acts as a weighing machine in the long run." Fear and greed play important roles when votes are being cast, but they don't register on the scale.

By my thinking, it was not hard to say that, over a 20-year period, a 9.5% bond wasn't going to do as well as this disguised bond called the Dow that you could buy below par--that's book value--and that was earning 13% on par.

Let me explain what I mean by that term I slipped in there, "disguised bond." A bond, as most of you know, comes with a certain maturity and with a string of little coupons. A 6% bond, for example, pays a 3% coupon every six months.

A stock, in contrast, is a financial instrument that has a claim on future distributions made by a given business, whether they are paid out as dividends or to repurchase stock or to settle up after sale or liquidation. These payments are in effect "coupons." The set of owners getting them will change as shareholders come and go. But the financial outcome for the business' owners as a whole will be determined by the size and timing of these coupons. Estimating those particulars is what investment analysis is all about.

Now, gauging the size of those "coupons" gets very difficult for individual stocks. It's easier, though, for groups of stocks. Back in 1978, as I mentioned, we had the Dow earning 13% on its average book value of $850. The 13% could only be a benchmark, not a guarantee. Still, if you'd been willing then to invest for a period of time in stocks, you were in effect buying a bond--at prices that in 1979 seldom inched above par--with a principal value of $891 and a quite possible 13% coupon on the principal.

How could that not be better than a 9.5% bond? From that starting point, stocks had to outperform bonds over the long term. That, incidentally, has been true during most of my business lifetime. But as Keynes would remind us, the superiority of stocks isn't inevitable. They own the advantage only when certain conditions prevail.

Let me show you another point about the herd mentality among pension funds--a point perhaps accentuated by a little self-interest on the part of those who oversee the funds. In the table below are four well-known companies--typical of many others I could have selected--and the expected returns on their pension fund assets that they used in calculating what charge (or credit) they should make annually for pensions.

Now, the higher the expectation rate that a company uses for pensions, the higher its reported earnings will be. That's just the way that pension accounting works--and I hope, for the sake of relative brevity, that you'll just take my word for it.

As the table shows, expectations in 1975 were modest: 7% for Exxon, 6% for GE and GM, and under 5% for IBM. The oddity of these assumptions is that investors could then buy long-term government noncallable bonds that paid 8%. In other words, these companies could have loaded up their entire portfolio with 8% no-risk bonds, but they nevertheless used lower assumptions. By 1982, as you can see, they had moved up their assumptions a little bit, most to around 7%. But now you could buy long-term governments at 10.4%. You could in fact have locked in that yield for decades by buying so-called strips that guaranteed you a 10.4% reinvestment rate. In effect, your idiot nephew could have managed the fund and achieved returns far higher than the investment assumptions corporations were using.

Why in the world would a company be assuming 7.5% when it could get nearly 10.5% on government bonds? The answer is that rear-view mirror again: Investors who'd been through the collapse of the Nifty Fifty in the early 1970s were still feeling the pain of the period and were out of date in their thinking about returns. They couldn't make the necessary mental adjustment.

Now fast-forward to 2000, when we had long-term governments at 5.4%. And what were the four companies saying in their 2000 annual reports about expectations for their pension funds? They were using assumptions of 9.5% and even 10%.

I'm a sporting type, and I would love to make a large bet with the chief financial officer of any one of those four companies, or with their actuaries or auditors, that over the next 15 years they will not average the rates they've postulated. Just look at the math, for one thing. A fund's portfolio is very likely to be one-third bonds, on which--assuming a conservative mix of issues with an appropriate range of maturities--the fund cannot today expect to earn much more than 5%. It's simple to see then that the fund will need to average more than 11% on the two-thirds that's in stocks to earn about 9.5% overall. That's a pretty heroic assumption, particularly given the substantial investment expenses that a typical fund incurs.

Heroic assumptions do wonders, however, for the bottom line. By embracing those expectation rates shown in the far right column, these companies report much higher earnings--much higher--than if they were using lower rates. And that's certainly not lost on the people who set the rates. The actuaries who have roles in this game know nothing special about future investment returns. What they do know, however, is that their clients desire rates that are high. And a happy client is a continuing client.

Are we talking big numbers here? Let's take a look at General Electric, the country's most valuable and most admired company. I'm a huge admirer myself. GE has run its pension fund extraordinarily well for decades, and its assumptions about returns are typical of the crowd. I use the company as an example simply because of its prominence.

If we may retreat to 1982 again, GE recorded a pension charge of $570 million. That amount cost the company 20% of its pretax earnings. Last year GE recorded a $1.74 billion pension credit. That was 9% of the company's pretax earnings. And it was 2 1/2 times the appliance division's profit of $684 million. A $1.74 billion credit is simply a lot of money. Reduce that pension assumption enough and you wipe out most of the credit.

GE's pension credit, and that of many another corporation, owes its existence to a rule of the Financial Accounting Standards Board that went into effect in 1987. From that point on, companies equipped with the right assumptions and getting the fund performance they needed could start crediting pension income to their income statements. Last year, according to Goldman Sachs, 35 companies in the S&P 500 got more than 10% of their earnings from pension credits, even as, in many cases, the value of their pension investments shrank.

Unfortunately, the subject of pension assumptions, critically important though it is, almost never comes up in corporate board meetings. (I myself have been on 19 boards, and I've never heard a serious discussion of this subject.) And now, of course, the need for discussion is paramount because these assumptions that are being made, with all eyes looking backward at the glories of the 1990s, are so extreme. I invite you to ask the CFO of a company having a large defined-benefit pension fund what adjustment would need to be made to the company's earnings if its pension assumption was lowered to 6.5%. And then, if you want to be mean, ask what the company's assumptions were back in 1975 when both stocks and bonds had far higher prospective returns than they do now.

With 2001 annual reports soon to arrive, it will be interesting to see whether companies have reduced their assumptions about future pension returns. Considering how poor returns have been recently and the reprises that probably lie ahead, I think that anyone choosing not to lower assumptions--CEOs, auditors, and actuaries all--is risking litigation for misleading investors. And directors who don't question the optimism thus displayed simply won't be doing their job.

The tour we've taken through the last century proves that market irrationality of an extreme kind periodically erupts--and compellingly suggests that investors wanting to do well had better learn how to deal with the next outbreak. What's needed is an antidote, and in my opinion that's quantification. If you quantify, you won't necessarily rise to brilliance, but neither will you sink into craziness.

On a macro basis, quantification doesn't have to be complicated at all. Below is a chart, starting almost 80 years ago and really quite fundamental in what it says. The chart shows the market value of all publicly traded securities as a percentage of the country's business--that is, as a percentage of GNP. The ratio has certain limitations in telling you what you need to know. Still, it is probably the best single measure of where valuations stand at any given moment. And as you can see, nearly two years ago the ratio rose to an unprecedented level. That should have been a very strong warning signal.

For investors to gain wealth at a rate that exceeds the growth of U.S. business, the percentage relationship line on the chart must keep going up and up. If GNP is going to grow 5% a year and you want market values to go up 10%, then you need to have the line go straight off the top of the chart. That won't happen.

For me, the message of that chart is this: If the percentage relationship falls to the 70% or 80% area, buying stocks is likely to work very well for you. If the ratio approaches 200%--as it did in 1999 and a part of 2000--you are playing with fire. As you can see, the ratio was recently 133%.

Even so, that is a good-sized drop from when I was talking about the market in 1999. I ventured then that the American public should expect equity returns over the next decade or two (with dividends included and 2% inflation assumed) of perhaps 7%. That was a gross figure, not counting frictional costs, such as commissions and fees. Net, I thought returns might be 6%.

Today stock market "hamburgers," so to speak, are cheaper. The country's economy has grown and stocks are lower, which means that investors are getting more for their money. I would expect now to see long-term returns run somewhat higher, in the neighborhood of 7% after costs. Not bad at all--that is, unless you're still deriving your expectations from the 1990s.

A short but intresting week

Friday, July 3, 2009

假日前效应的统计结果 (zt)

大千。股弟



每到假日将到,一个永远的话题就是股市在假日的前一个交易日是升呢,还是降呢。传言满天飞,今天有人说是升的多, 明天有人说是降的多。



按说这并不是一个困难的问题,数一数股市在过去这些年的假日之前到底是升得多还是降得多不就行了吗?



遗憾的是,像股弟这么认死理得并不多。大多数人脑袋瓜灵活,宁愿凭借消息来源的威望,说话语气,以及附和的人数多寡来判断。



今天我打开数据库,写了一个简单的程序,得出一个统计结果,算是给这个问题盖棺定论。



从2003年1月3日开始,到2009年4月20日为止,一共有56个假日。在假日前的交易日里,SPX收盘价比前一天增加的有36个,占64%,较少的有20个,占36%。



如果只考虑12月份的假日的话,10个假日中,6个升,4个降。百分比基本与总体相当,并无特殊之处。



有朋友可能会问,为什么不把前几十年的数据都弄出来统计呢?实际上时代在变化,股市的行为也在随着时间而变化。现在的股市更有可能于最近几年的行为有关联,而不是与早期的行为有关联。因此这些数据足以反映问题了。

Monday, June 1, 2009

长线持有ETF须知 (zt)

发信人: turtlet (turtlet), 信区: Stock
标 题: 长线持有ETF须知
发信站: BBS 未名空间站 (Sun May 3 13:57:55 2009)

我一贯潜水,因为工作关系,对美股也小有研究,不过自己的炒股水平却很是一般。
看到版上很多xdjm对ETF的认识有些误区,不免有发文的冲动。我所知有限,如果说错
了,还请跟帖指正。

ETF就是一个portfolio。讨论ETF的performance就是要和ETF自身和它所代表的
portfolio进行比较。portfolio的价值就是这个ETF的净值(net value),ETF自身的价
格有可能高于或者低于它的净值,具体由市场对这个ETF的供需来决定。

ETF就rebalance strategy来说,分为passive和active两类。
passive是指ETF除了申购和赎回以外不需要进行(或者很少进行)rebalance来维持构
成ETF的股票(或别的securities)的权重。SPRD就属于此类。大家如果就看XLF的股票
构成,就会发现里面个股的权重是和市场的浮动一致的。
passive的好处是除了管理费以外不会有别的损耗,you get what you want,并且管理
费(expense ratio)相对较低,可以长线持有。

active是指ETF的管理公司需要主动的rebalance来维持ETF和它的underlying
portfolio之间的关系。这类ETF有损耗,而且有的相当大。这种损耗有人称之为time
decay,但这种叫法并不准确,因为损耗不一定是因为时间造成的,而且不像options,
时间本身不会造成损耗,而是这段时间内的volatility造成的损耗。
这类ETF分为unleveraged(1x) 和leveraged两种(2x, 3x)。

leveraged ETF的损耗(FAS, FAZ)大家讨论了很多,但是没有人量化。下面的公式说明
了这种损耗有多大。
0.5×p×(p-1)×(sum(r_i)^2 - (vol^2)*T)

其中p是倍数,T是天数(你的trading horizon),vol是这段时间内的realized
volatility, r_i 是day_i的Return。
realized vol = sum(r_i^2)/T (具体要不要demean取决你对sample mean的看法)
所以一个更简单的公式是
0.5×p×(p-1)×(sum(r_i)^2 - sum(r_i^2)) 注意一个平方在括号里,一个在括号外
假设一种情况下三天的daily return是10%, 10% 10%,另一种是30%,-30%, 30%,你自
己算一下就知道这个损耗是多大了。

从这个公式可以得出结论:
1. trending market (第一种情况)
leveraged ETFs perform better than the underlying
2. volatile market (第二种情况)
leveraged ETFs underperform
3. everything else equal, leveraged bear ETFs have higher expenses than
bulls

至于unleveraged active ETF,很多人以为没有这种损耗,其实是不对的。
拿USO为例。USO是tracking light sweet crude oil 的ETF,它主要是通过买卖front
month的oil futures (ticker CL)。它因为要在固定的时间段内rollover its futures
positions (卖出近期的买入远期的),所以给很多人从中牟利的机会。而这种利是
建立在ETF holder的损失之上的。你如果关注一月二月的oil contango有多厉害,你就
知道这种损耗有多厉害。当然最近一两个月稍微好一点,因为USO的管理公司采用更加
灵活的rebalance的策略,使的front running 稍微困难一些了,但不可能完全消除这
种损耗。

总而言之,active ETFs适合短期操作,不适合长线持有。但是如果你坚信你的view是
对的,当然可以利用leveraged ETF来做swing trades。

最后预祝各位股市顺利,数钱数到手抽筋。

2x和3x ETF科普

发信人: dynkin (想买D3了), 信区: Stock
标 题: 2x和3x ETF科普
发信站: BBS 未名空间站 (Mon Mar 23 23:37:20 2009)

火星人写给天顶星人看的,地球人不要笑2old。

首先fund和equity stock不同。一般公司的股票有发行数目限制,交易是指二级市场交
易者之间的交易,所以股票可以有很多基本面分析。fund则是投资者把钱投到某个fund
里,然后这个fund用你的钱买进一揽子股票或者一些指数,因为fund的规模远比市场规
模小,所以可以认为总是可以买到的。etf一般是那种构成比较固定,操作比较简单,
所谓passive invest的,例如指数etf。

leveraged fund是怎么回事呢?说白了就是你出一份钱,etf给你100%或者200%的
margin,买卖相应的股票或者指数。如果是long指数的,那就是你出一份指数的钱,
etf给你配成两份或者三分,盈亏都由你承担。etf在这个过程当中除了一些手续费不赚
钱也不赔钱。

那这样的etf是干什么用的呢?是给你trading和hedging用的。例如你有50万股c和30万
股bac要在某天出手,当然不可能在一个时刻出手,而是要慢慢出手,但又怕市场上突
然有什么消息让整个金融市场有很大的波动,特别是向下的波动,那你就先买进一点反
向etf,逐步卖掉c和bac,然后在逐步卖掉反向etf。显然2x和3x可以帮你节约不少流动
资金。

另一个当然是做day trade,本质上和买卖指数期货一样。只不过买卖指数的资金要求
比较高,所以这些etf给中小投资者一个机会。

skf对应的是Dow Jones Financials Index(DJUSFN),faz对应的是Russell 1000
Financial Services Index(RIFIN.X)。例如今天RIFIN.X从452.21涨到523.92,涨幅是
15.86%,所以反向3x应该跌了47.58%,现在的nav是$18.45。
http://www.proshares.com/funds/skf.html?Index
http://www.direxionshares.com/etf/fbe_3x_shares.html?daily;funds=FAZ

所以你看到skf或者faz这样净值跌了50%,成交量可以加倍;净值跌了75%,成交量可以
变成3倍或者4倍。很简单,nav*成交量就是成交额,这个反映市场大小,是不太变化的
。所以量价分析完全无效。

从原理上来说,如果某天指数上升了33%,那3x就被清零了,但是etf本身的钱一点都没
少。如果指数上升了50%,etf才会亏很多钱。因为有stopper的缘故,这两种情况当然
几乎不会发生。极端情况就是etf接近清零,然后宣布关闭和清算。

上面只是基本分析,下面就是大家说的为什么不能持有。其实原因很简单,因为是带
margin买指数,而这些etf限制了最大的margin。例如正向3x fas,假设某天指数从100
跌了10%到90,指数1点对应了$10,你3x就是30%。这样你的本金例如$10000只有70%了
,而etf给你的margin还有200%,变成3.85x了。因为这些etf的目标是日间2x或者3x,
于是第二天etf根据前一天收市资金情况给了你$14000的margin。从etf的操作来看,第
一天你的资金$10000加上$20000的margin,可以买30份100的指数,第二天你的资金$
7000加上$14000的margin,可以买23.33份90的指数。于是操作上etf就“帮你卖掉”6.
77份指数。相同的道理,如果指数接下来涨了11.1%到100,这样你的$7000变成了$9333
。第三天你又有$18667的margin了,可以买28份100的指数。于是操作上etf“帮你买进
”4.77份的指数。

这是什么嘛,就是“高点买进,低点卖出”嘛。怎么能不赔钱呢?除非指数一直在涨或
者一直在跌,例如前段时间的dto。

因为这样的设计,所以一般投资者只持有一段时间,也就是一天或者一个持续上升或者
下降的波段。当然,要short这些etf也是很难的,这不就是冒充broker嘛,当然是很难
的。

那这样的etf怎么操作呢?上面说了两种,一个用来hedge一个用来day trade。这都不
涉及到margin。但是指数不开市也会跳,单单day trade就做不到了。如果要隔夜持有
,大概有三种方法:

1. 赌第二天的方向,如果赌指数会上升则买正向,如果赌指数会下降则买反向;

2. 如果预计指数会朝一个方向移动,但是不清楚什么时候移动,想持有一段时间,想
利用2x和3x的好处,记得要逢高减仓,逢低加仓。同样还是上面的例子,如果第一天指
数跌了10%,第二天你就应该加仓$2000,相当于把亏欠etf的那部分补上,这样你还是
持有了30份90的指数。而第二天指数涨了11.1%,这个时候etf给的margin是$18000,你
赚了$3000,应该把第一天的$2000拿回来,这样第三天又回到了初始的$10000。有人说
这不是啥都没赚么。但别忘了,你用了$10000的本金和$2000的机动资金,持有了30份
指数。

不过有得必有失。例如RIFIN.X从351涨到了524涨了几乎50%,我们的虚拟指数就是从
100涨到150,如果是反向3x,你要保持空30份指数的话,浮亏就是$15000,已经超过$
10000本金了。当然3x etf保护了你现在没有被wipe out。按照etf的价格,现在差不多
是当初的18.3%。我们的etf如果按20%来算,也就是说如果你不加仓的话,原来$10000
可以卖30份100的指数,现在$2000只能卖出4份150的指数了,也就是如果你判断现在要
反转的话,要再投入$13000,加上etf的$26000 margin,买入26份150的指数,才可以
在某一天指数跌到100也就是的时候回本,而且仅仅是回本。如果你在最开始仓位超过
43%的话,或者中间加过仓的话,现在就必须要上margin了。如果不加仓,指数跌回到
100的时候,etf最多只能回到67.5%的地方。

3. 利用deep ITM的call来hedge,赚取premium。例如RIFIN.X从351上升到524上升50%
,FAZ跌到18%,现在距离09年高点还有26.5%,如果某次oe之前不破09年高点663,那
FAZ大概不会跌破现在的40%,也就是$7.6;如果破了,那就一定破$8,那大概$7.5和$
10的call算deep ITM,其他都不算。

总结上面的分析:2x和3x的etf
1. 当然不是scam了,不过要用对地方
2. underlying是指数,本质是etf给你margin买卖指数,etf本身没有盈亏,只收手续费
3. 成交量几乎没用,很难short,本身也不会有short squeeze
4. 只适合hedge,day trade和波段。

操作手法:
1. day trade或者做波段
2. 逢高减仓逢低加仓,要有很多后备资金,所以不宜全仓,更不宜上margin,否则认
赌服输。
3. option大有文章

Thursday, May 28, 2009

建立交易系统(Part2)(zt)

自己的交易系统。
  1:交易流程图及注意事项。
  2;资金管理及应对事项。
  3:指数顶底分析方法。
  4:各股顶底分析方法。
  5:交易系统复利统计。(以控制空仓心态)
  6:交易系统信号分布。(以控制等待心态

说流程之前,先说说股市的本质是什么?股市的本质是博弈;
A)从参与股市的人员看,股市博弈的本质是多方博弈;
B)从参与人员的目标看,『股市博弈的本质是两方博弈』,即看跌卖出的空方和看涨
买入的多方进行博弈;
C)股市博弈的本质和下棋很相似,有人说股市如棋,此言甚是;
D)多空双方在『不同的时间等级上』进行厮杀和纠缠,正如没有两盘完全相同的棋局
一样,股市也是一样,过去不能预见未来,没有完全相同的股价走势,有的只是『相似
的博弈原理和盈利模式』;

建立交易系统总体流程步骤一:『明确交易系统的依据』;
A)说完股市本质,我们就应该知道建立交易系统的依据了;
B)建立交易系统的依据就是:『在股市博弈总体不确定性的大环境下,要发现和分离
出股价运动的确定性因素』,也就是要建立自己的『科学交易观和正确交易方法论』;

建立交易系统总体流程步骤二:『构造交易系统』;
A)要明确交易系统的目的:『克服人性弱点,便于知行合一』;
B)要明确交易系统的特性:『整体性和明确性』;
C)交易系统随时间和证券市场外部环境变化,『本身要能够修改和进行参数调整』;
D)交易系统的一些基本子系统:『行情判断、板块动向、风险管理、人性控制』;

建立交易系统总体流程步骤三:『检验交易系统』
A)检验交易系统包括:『统计检验、外推检验和实战检验』;
B)要考虑交易成本;
C)要考虑建仓资金量大小造成的回波效应;
D)要考虑小概率事件(统计学上的胖尾)对交易系统的影响;

建立交易系统总体流程步骤四:『执行交易系统』;
A)日常操作主观要服从客观,『交易有依据、欲望要消除』;
B)模拟操作不可少,即使不交易,依然要『仔细看盘、仔细复盘、揣摩多空主力的思
路、勤动脑多实践』,最终做到『正确地知行合一』



系统交易,即按照一套交易系统进行交易。系统交易者的时间和精力主要放在交易系统
的开发中。证券市场中,对于采用趋势型策略的系统交易者来说,成功开发一套交易系
统的要素及其重要性比重,不妨设计大致如下:范围,10%;买点,5%;卖点,10%;止
损,20%;资金管理,40%;对系统的理解、洞察、应变与创新,15%。可见,资金管理
是最重要的要素。在系统交易中,资金管理主要体现在以下三个层次上:
  
  (一)仓位。即帐户中股票市值/(股票市值+债券市值+现金)*100%。据道氏
理论及后人的多次统计,一个市场中约75%的个股的走势是与大盘高度正相关的。因此
,根据大盘风险系数来决定仓位高低,应该是一个不错的稳健的选择。举例说,如果当
前大盘风险系数是70%,那么仓位就应该是30%。当然,大盘风险系数的判断是有很大难
度的。这里推荐三个方法,一个是台湾张松龄先生的表格打分法,把影响大盘的各个因
素列出来并赋予权重,设计一张表格,每日打分;一个是某基金投资总监、《K线黄金
定律》作者股乐先生提出的R28定律,即用R28与A股指数对照;第三个是最简单的,就
是当前指数在最近一个显著运行周期内所处的位置,应用的原理就是周朝国立图书馆馆
员老子先生提出的物极必反,反的高度可以根据历史统计取值。
  (二)组合。即持有多只个股时,每只个股占用多少资金。这里说的组合与CAPM、
APT基本无关。每只个股占多少资金,取决于交易系统对每只个股所处位置的判断。如
果同时运用多个策略不同的系统,则还取决于每个系统的目标预期年均回报率。另外,
同一个系统又给出新的个股信号时是否换股,也是系统应该考虑到的问题。
  
  (三)分段。即同一只个股的买卖分段进行。基于趋势型策略的系统交易者,一般
需要设立多个买入、卖出点。比如说系统设定了有三个可能的买入点,那么每个买入点
各应投入多少资金,这也是属于资金管理的内容。当然,更多的情况下,这个问题也同
时属于买点、卖点、止损这几个要素的范围。
  
  仓位、组合、分段这三个层次,其实是交织在一起的。例如,当判断大盘风险系数
增加,须降低仓位时,组合与分段常常也同时受到影响。理想的情况是系统本身对所有
问题都定出明确的规则,但由于软件平台的限制,实际上是不可能做到的。对于中小资
金的投资者来说,运用手工方法每日进行一下处理,逐步建立起自己的一套方法,相信
也能达到基本的效果。

  当然,不管是指标公式、选股公式、交易公式,还是交易系统,其生命都源于交易
策略。交易策略是根据对股市的基本原理和运行的非随机性特征及规律性进行深入研究
后制订的作战原则和总体思路。我们经常见到很多大资金管理人和操盘手并不去编什么
公式,他们之所以成功,就是因为对交易策略有系统而深入的掌握。当然,如果有了好
的软件,他们把自己的策略放进公式里,也会省下不少的时间和精力(在这点上,你已
经能编一些指标进行实战的操作,这方面是很优秀的)。不过凡事均有利弊,过于机械
则会损害洞察力、创造力和应变能力

交易系统的思路
  ----(1)、从历史牛股的市值变化、股价变化、股本扩张、股本区间分析,寻找
主力在制造什么样牛股。
  ----(2)、从历史上赚钱投机者的操作频率、资产变化、赚钱的个股从什么价位
持有到什么价位进行分析;从历史上赔钱的投机者的操作频率、资产变化、赔钱的个股
从什么价位持有到什么价位,这些赔钱的个股在股本和业绩等有什么性质进行分析。从
而寻找最佳的操作频率;资产阻力位;股价阻力位。
  ----(3)、通过对大单分析(这在你的交易系统说明中有充分的体表);股东数
据分析;换手率分析;指数对大盘重心的偏离度分析。寻找买点和卖点。
  ----(4)、指数偏离大盘重心的程度与仓位线性关系探索,创立指数和仓位的年
度方程和季度方程。
  ----(5)、个股的排他性分析,特别是对回调个股的“时间、幅度、交易量”分
析,空中加油的特性分析,确立参与目标个股的最优数量、最优委托笔数、和最优的委
托时间间隔。

总之:一个交易系统的形成除了有市场普遍性具有的特点外,也应有每个人个人的性格
特点,对于即日交易(秒——小时)、短线(小时与天)、中线(周与月)、长线(月
与年)不同交易方式的人(其中已含有个人的操作特点)也应有所不同,对于不同的市
场(股票、期货、期权、价差交易、权证、基金、债券、外汇等)在交易系统中各子项
的偏重点也应有所不同,就是使用的技术分析系统参数也应做充分的调整。交易策略也
应有主次之分从而使整个交易系统很明确。不谈交易之前的分析策略,从交易一开始,
交易系统最终要牢牢把握的就是三点(一个买点与二个卖点——止益目标点与风险控制
点),从而在不明确的市场中以概率的方式获胜(截短扬长)从而获取总的利润。