Author: shyam

Defeat of the one-handed economist

“Give me a one-handed economist. All my economists say, ‘on the one hand…on the other'” – Harry Truman, American President.

In the 1960’s, a young Eugene Fama developed a profound insight about the markets. Fama observed that over the short term, equity markets behave randomly. The day-to-day, week-to-week trading action has no rhyme or reason. Indeed, the random walk of markets makes them effectively impossible to predict in that time frame. The Efficient Market Hypothesis, as Fama called it, meant that stock-picking was a futile exercise.

The relevance to finance was soon obvious: Most investors are better off owning the entire market, rather than guessing which stocks might do better or worse. For this, Fama is thought of as the intellectual father of indexing.

And then Fama blew it. Fama took the idea of efficient markets to an illogical extreme. He made a leap of faith based largely on the earlier flawed analysis that led him to the correct conclusion that markets behave randomly. Because markets reflect all known information in their prices, Fama rationalized, most of the rules and regulations related to securities were unnecessary. Even worse, he reasoned, they were counterproductive because they interfered with the price discovery process.

Professor Robert Shiller‘s data, on the other hand, overwhelmingly showed that markets were at times as irrational as the humans who traded them. Bubbles formed, prices detached from reality, then just as soon came back to Earth. This was hardly informational efficiency. Shiller is said to have remarked that “The efficient-markets hypothesis is the most remarkable error in the history of economic theory.” Sometimes prices had nothing whatsoever to do with the available information — except the insight that people occasionally went crazy.

With the Nobel Prize in economics being awarded to both Fama and Shiller, it appears that academia has finally accepted the fact that on on hand, markets are rational, but on the other…

Source: How Shiller helped Fama win the Nobel

Weekly Recap: The Fallacy of Success

nifty 50 weekly performance heatmap

The Nifty ended the week +1.53% (1.33% in USD terms) largely driven by the metal and energy complex.

Index Performance

index performance chart

Top winners and losers

TATASTEEL +6.82%
BPCL +6.86%
JPASSOCIAT +18.36%
BANKINDIA -6.93%
PFC -5.83%
CANBK -5.42%
It would appear that a “reflation” trade is underway…

ETFs

GOLDBEES +2.89%
BANKBEES +1.69%
NIFTYBEES +1.45%
JUNIORBEES -0.60%
INFRABEES -1.85%
PSUBNKBEES -5.25%
Gold was all over the map this week but PSU Banks got punished…

Advancers and Decliners

advancers and decliners

Yield Curve

The curve seems to be pricing in a rate hike, given high inflation numbers…

yield curve chart

Interbank Rates

… with 3-month bank-to-bank lending still around 10%

mibor interbank rate chart

Sector performance

sector performance chart

Investment theme performance

A roundup of Investment Theme performance this week.

Thought for the weekend

It is perfectly obvious that in any decent occupation (such as bricklaying or writing books) there are only two ways (in any special sense) of succeeding. One is by doing very good work, the other is by cheating. Both are much too simple to require any literary explanation. If you are in for the high jump, either jump higher than any one else, or manage somehow to pretend that you have done so. If you want to succeed at whist, either be a good whist-player, or play with marked cards. You may want a book about jumping; you may want a book about whist; you may want a book about cheating at whist. But you cannot want a book about Success. Especially you cannot want a book about Success such as those which you can now find scattered by the hundred about the book-market. You may want to jump or to play cards; but you do not want to read wandering statements to the effect that jumping is jumping, or that games are won by winners.

Source: The Fallacy of Success

Banks: Straight Line Growth?

We recently added historical quarterly EPS charts on our equities page it has started throwing up some interesting questions. Consider IndusInd Bank [stockquote]INDUSINDBK[/stockquote] for example:

IndusInd Bank EPS chart

The bank has had an almost unbroken streak ever since it started reporting results (from back in 2007 July) and the stock has basically gone from Rs. 50 to Rs. 400 in the same period… a 40% IRR + dividends, if you had just bought the stock and sat on it for 6 years.

A similar story seems to have played out in Yes Bank [stockquote]YESBANK[/stockquote] as well:

Yes Bank EPS chart

And Axis Bank [stockquote]AXISBANK[/stockquote]:

Axis Bank EPS chart

Most private banks more or less have the same story. Incredible how in spite of the economy experiencing multiple head-winds – slowing growth, the Lehman event, etc. banks have been ringing it in…

 

Machine Learning Stocks, Part II

We had previously rolled out the “similar stocks” feature that grouped stocks based on risk and technical parameters. The idea of grouping/clustering stocks is that it allows you to find better alternatives to your favorite stocks. We combined machine learning with our Fundamental Quantitative Scores to cluster stocks based on fundamental metrics.

For example, here’s what Glenmark’s looks like:

Glenmark

 

Related:

Machine Learning Stocks
Quantitative Value Series
StockViz Trading/demat Account
Fundamental Quantitative Scores for Stocks