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Market Beta (β) and Stock Returns -
An Analysis of Select Companies

I INTRODUCTION
During the past three decades, CAPM (Capital Asset Pricing Model) has been studied in great depth and is used as the standard risk-return model by various researchers and academicians. The basic premise of CAPM is that the stocks with a higher beta yield higher returns for the investors. One of the conditions stipulated in the model is that the said return should be higher than the return of the risk-free asset.
But, if the market return falls short of the riskless rate, then stocks with higher betas yield lower returns for the investors. Pettengill, Sundaram, Mathur (1995) call this the conditional (ex-post) relations between beta and return. Their research output concludes that there is a positive and statistically significant relationship between beta and returns.
The present paper is a similar attempt based on the work of
Pettengill/Sundaram/Mathur (1995). The objective of this research initiative is threefold.
First, we compute ‘beta’ (β) for each security with a view to examine the
‘systematic risk’ present in the market with the help of selected sample companies.
Secondly, we classify the companies based on the beta coefficient as ‘high-risk’ and
‘low-risk’ based on both daily and monthly returns basis. Finally, we examine whether the risk category of companies undergoes significant changes between monthly and daily returns basis or not.
Financial economists have applied innumerable tests to capture the ‘systematic risk’ present in a security or a portfolio in different markets in the world. Since 1970, there has been a large collection of research examining the systematic risk applying
‘beta coefficient’. Researchers have made attempts to examine the ‘beta-stability’ and time-varying characteristics of beta coefficient. However, all these research

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