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"A risk-averse long-term
investor should go for low beta stocks"
Nimish Shah, Director,
Parag Parikh Financial Advisory Services |
When
a stockmarket player bandies the V-word, don't naturally expect
whoops of joy to follow. More often than not, V is for 'volatility',
and this can be scary. Infosys' stock, for example, crashed by 27
per cent in one single day on April 10, 2003. And then made a comeback.
Then down again. And up. Down. Up. And so on.
Did someone make money on it? Sure. Many saw
a 'buy' opportunity. But many others got badly rattled. And telling
them that risk is risk-it's in the very nature of equities-isn't
any consolation.
As stock volatility increases, the real winners
over a sustained period are likely to be those who've got their
risks nicely worked out. The good news is that you could join the
game too. You can start by getting a fix on risk and volatility.
Analyse
Volatility
For the purpose of analysis, experts tend to
divide all equity risk into two broad categories-systemic risk,
which relates to the entire market, and unsystemic risk, which has
to do with the individual firm.
The impact of firm-specific risks can be reduced,
overall, through portfolio diversification. The more varied the
stocks in a portfolio, the less likely that every firm will take
a hit simultaneously. Also, rigorous company analysis can also help
identify company-specific risk factors. So, an investor can use
a carefully constituted and well-diversified portfolio to insulate
(in theory, at least) the investment as a whole against unsystemic
crashes.
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"Betas can give
wrong results if the security is not traded frequently"
Errol D' Souza, Senior
Vice President, DSP Merrill Lynch |
The bigger headache, typically, is systemic
risk-the classic example of which is the extreme case of a nuclear
strike. Of course, it is mostly the much-less-ghoulish market shocks
that an investor must deal with. Yet, regardless of how far 'ground
zero' may be, there's no escaping the havoc systemic risk creates
for stock prices.
Role Of Regression
Wait, did somebody say there's nothing you
can do against systemic risk? That's true in theory. But in actual
practice, it's impossible to make clear distinctions between the
types of risk influencing a stock. Prices just go up and down, that's
it, without the courtesy of an explanation for their behaviour.
What an investor can measure, however, is a
stock's volatility-relative to the market index. This, according
to Errol D' Souza, Senior Vice President, DSP Merrill Lynch, is
precisely what the 'beta' measure does.
Simply put, a stock's 'beta' measures how much
its price varies in step with the index, as a ratio of how much
the index alone varies, over a period of time. Not so simply put,
a stock's beta is the ratio of the stock-index 'co-variance' (average
of the products of the stock's and index's deviations from their
means), to the index's 'variance' (average of squared deviations
from the index's mean).
Beta = Co-Variance (Stock, Index)/Variance
(of Index) |
FAQs
What does 'beta' signify?
It is a measure of the volatility of a stock price
relative to that of a given market index.
How is a stock's beta value calculated?
Beta value is not a correlation coefficient. It is actually
a ratio of the stock's tendency to vary in step with the index,
to the tendency of the index alone to vary.
How to interpret it?
Beta value below 1: Relatively
unvolatile, not in absolute price terms, but in relation to
the market index. This is a stock that tends to hold a relatively
stable trading price on account of stock or sector-specific
factors that are independent of the broader market.
Beta close to 1: This
implies that both the stock and index tend to move together.
Market heavyweights tend to have such beta values, for the
very reason that they determine the index's movement too.
Beta greater than 1:
A volatile stock, relative to the index. This is a stock that
shows wide fluctuations that can be traced to reasons independent
of the market at large.
Why do punters like beta?
For the simple reason that it clubs two critical aspects of
a stock picking strategy. One, how much relative price volatility
are you willing to take? And two, how independently of the
index would you like your picks to move?
How can it help me?
To go with the market's broad fortunes, stick with stocks
with beta around 1. If you have special stock-related reasons
for bullishness, and are clued in day-to-day, you could dare
a high-risk high-return game by adopting a high beta-stock
strategy.
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Those acquainted with elementary statistics
would recognise it as a tool called regression analysis. The data
points are typically recorded daily, at the close of trading, with
the total distribution period (for which the stock and index means
must be calculated) ranging over several months. "It is better
to take a long time period," says Nimish Shah, Director, Parag
Parikh Financial Advisory Services, "but don't go too long
as the old data points may lose relevance. In the Indian context,
one to two years is ideal."
Now Get Discerning
In theory, a perfect beta of 1 implies that
the stock moves precisely in step with the index. But this is not
a correlation coefficient, mind you. It is a ratio. A beta can be
more than 1, implying that the stock is more volatile than the index.
Some stocks even have beta figures in excess of 2, such as Satyam,
with a beta measure of 2.23 (with the BT-50 as the index). Hindustan
Lever, however, has a beta value of 0.94. Stocks with beta values
lower than, say 0.50 (example: Castrol), are stocks that are not
only out of whack with the index, but are also relatively stable.
Now, an investor who prefers making picks on
the basis of broad market conditions would prefer a portfolio of
beta stocks rotating around 1, generally. A dedicated tracker of
companies, however, would prefer investing in either high or low
beta stocks of the particular firms he understands, with the high
or low dependent on his risk-return preference. "If the investor
is a risk-averse long-term player," advises Shah, "he
should go for low beta stocks. But the high risk taking trader can
go for high beta stocks."
Before you adopt the beta, bear in mind that
it is based on historical data, always an imperfect predictor of
the future. Also, low betas are often indicators of low liquidity
as much as low volatility, and many of these can become dead stocks.
In other words, as Jigar Shah, Head of Research at KRC Research,
cautions, "Beta should not be used on a standalone basis."
Being discerning involves more than statistics.
Lemon Analysis
Just who are these guys? What are these unheard
of under-Rs 5 stocks that are sizzling away at the bourses? Investors,
watch out.
Never
mind the gateway boom, never mind the jewellery market boom-the
bulls ain't heard nothin'. Stock after stock soars. It's a bull
market, and a good time to look beyond the smokescreens. At all
these unknown stocks, for instance, that've emerged from nowhere
and are sizzling away.
You've heard of one Satyam Computer Services,
yes, but Satyam Cement? It's losing money. But if you had put a
25-paise coin-its share price-on March 1, you could have turned
it into Rs 4.07 by August end, a gain of 1,528 per cent. A lemon?
Who knows?
And Satyam Cement is far from lonely. Of the
859-odd companies that traded below Rs 5 six months ago, as many
as 612 have delivered returns of more than 20 per cent. No wonder
they've seen their trading volumes zoom. Parag Parikh, CEO, Parag
Parikh Financial Services, isn't surprised. "Everyone starts
buying stocks in a bull market like there is no other place to invest,"
he sighs, sounding off a caveat emptor warning, "This can't
be called 'investing'; it's crowd behaviour at work. And when retail
investors burn their fingers, they blame everyone from brokers to
the government."
The floor-scraping prices are often the chief
attraction of these stocks. Even their performance reports seem
suspiciously timed to capture market sentiment. Take Alka India.
For the quarter ended March 2003, it reported a loss of Rs 31 lakh
on sales of Rs 1.9 crore. The next quarter, it netted Rs 3.8 crore
in profit on sales of Rs 25.8 crore! Traded volumes jumped from
50,000 to 1.6 million shares, and the price skyrocketed.
The under Rs 5 stocks have their uses. Promoters,
for example, can cash in on a run on their stocks, and often use
tricks such as stock-splits, just to make their scrips look cheap.
Traders, meanwhile, are always aplenty willing to bet on the 'greater
fool theory' (that once upward momentum is created, someone else
will buy the shares off them). Smart. Except that this is a zero-sum
game that will, ultimately, cause injury. It's always better to
stick with scientific reality-even if the wise have diverse interpretations
of the nitty-gritties.
-Shilpa Nayak
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