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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.
 |  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 AnalysisJust 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 |