How to make money in volatile markets
Source:
http://business.rediff.com/report/2009/jul/30/perfin-how-to-make-money-in-volatile-markets.htm

Practically all stock selection techniques are designed to identify issues
that will rise faster than average in bull markets or hold up better than
average in bear markets.

Unfortunately, few stocks possess both attributes. Stocks that outperform
the market on the upside tend to fall most rapidly in a general decline,
while those that lag behind an advance tend to suffer less in a collapse.

Just as price trends seem to persist under certain conditions, the tendency
of a specific stock or group of stocks to exhibit above average volatility
also persists over time.

But while all price trends ultimately come to an end, the volatility
characteristics of most stocks persist for years or even decades. Hence
volatility can, in and of itself, be an especially useful stock selection
criterion.

When the market is expected to rise, diversified portfolios of stocks, --
and, equally, diversified equity mutual funds, with a history of highly
volatile price swings - will almost certainly outperform the market
averages. Random walk theorists hasten to attribute these above average
returns to the additional risk inherent in volatile stocks.

They claim that on a "risk adjusted basis," such portfolios will provide
only average returns. Their concept is easily proven (to their own
satisfaction, at least) by defining risk as volatility - hence they contend
that higher returns accruing to portfolios of volatile stocks - or volatile
equity mutual funds - are directly attributable to higher risk and do not
represent superior stock selection.

Investors interested in making money rather than debating semantics might
well argue that the only risk they fear is the risk of loss, and that kind
of risk is low in a rising market. On the other hand, in a falling market
almost every diversified portfolio or fund will lose money and an investor
who expects a decline should be out of stocks altogether, not merely
switching to less volatile stocks that will just lose money for him more
slowly.

Thus, to the extent that investments are confined to periods of generally
rising prices, namely to bullish phases, highly volatile stocks and equity
funds are superior investments and can provide above average returns on a
far more consistent basis than most other stock selection techniques.

*Beta volatility*

'Volatility' can be measured in many ways. One crude method is to calculate
each stock's average daily or weekly price change (ignoring the sign, up or
down, of those changes) over the past year or two. A far more sophisticated
approach is to correlate a stock's daily or weekly percent price changes
with the daily or weekly percent price changes of a broad based market index
(e.g., Standard & Poor's 500 Index). This type of relative volatility is
called a "Beta" statistic and is derived from a complex mathematical
calculation, usually made by computer.

A Beta tells not just how volatile a stock has been, but how volatile it has
been: relative to the market. An extremely useful characteristic of Beta
statistics of stocks is that they are so stable through time that it is
relatively unimportant whether they are calculated from daily, weekly, or
monthly data, or whether the historical base used in the calculation is one,
two, or even five years in length.

A Beta of 1.00 means that, on average, a stock has traditionally matched the
market's swings, moving just as rapidly as the indices on the upside and
downside. A Beta greater than 1.00 reflects above average volatility, and a
Beta less than 1.00 indicates below average volatility.

A Beta that is actually less than zero - a negative Beta - is typical of
assets that move contrary to the general market, going down in bull markets
and rising in bear markets. (Gold mining stocks often have negative Betas.)

Betas have been so widely used in recent years that they have become
available at low cost to most investors. They have been widely studied and
numerous historical analyses have proven that portfolios of stocks with high
Betas will continue to exhibit the characteristic of high volatility in the
future.

It is worth noting, however, that Betas do have a tendency to drift back
towards 1.00. Volatile portfolios selected on the basis of Beta alone will
therefore never be quite as volatile as expected, although the Beta
volatility estimate will still be very good.

*Square root volatility*

Low priced stocks are more volatile than high priced stocks. A formal
statement of that assertion is the Square Root Rule which hypothesizes that
the magnitude of a stock's price move is directly related to the price of
the stock: the lower the price of the stock the more volatile it is, and,
the higher the price of the stock the less volatile it is.

In a declining market, when all stocks should lose the same number of points
from the square root of their beginning prices, we would expect the lower
priced stocks to decline more rapidly and the higher priced issues to
decline at a somewhat lesser rate.

Unlike the Beta statistic, the Square Root Volatility for a stock is always
positive: All stocks are always expected to move in the same direction,
albeit in different magnitudes, as the market. As a measure of expected
performance for a single stock, this is, of course, somewhat unrealistic
since all stocks do not always move in the same direction as the market.

However, like the Beta statistic, as the portfolio becomes more broadly
diversified Square Root Volatility becomes a better measure of expected
percentage change. For very large portfolios it is extremely accurate.
Indeed, the author's research reveals that Square Root Volatility is usually
superior to Beta as an estimator of future expected return, even though
Betas are much better known and more widely used.

*Conclusion*

Used independently or jointly, the Beta and Square Root Volatility measures
are valuable and highly functional stock selection tools. Most investors
would improve their overall performance if they refined their market timing
techniques and simply resorted to holding highly volatile securities during
bull markets.
------------------------------

(Excerpt from *The Stock Market Logic*. Published by Vision Books.)

-- 
Regards,
Hiral Thanawala

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