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Beta Estimation Practice and its Reliability Biasness Towards Aggressive Stocks: An Empirical Evidence from NSE


Affiliations
1 Associate Professor, Faculty of Finance, Institute of Management Studies, Ghaziabad, Uttar Pradesh, India
2 Associate Professor(Finance), R.D. Engineering College, Ghaziabad, Uttar Pradesh, India

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In finance literature, 'beta' possesses a prominent place as a measurement statistic of systematic risk arising out of economic wide uncertainties. As a matter of fact, Index Model is very common in practice as leading stock exchanges of India make use of this model for beta estimation. Our study aims at this approach of beta estimation for establishing how beta coefficients for aggressive stocks prove to be more reliable than defensive stocks. Since Index Model is linear and envisages the premise of Simple Linear Regression, the researchers compare reliability of beta coefficients for aggressive and defensive stocks on the basis of R-squired statistic.

Keywords

Beta, Index Model, Simple Linear Regression, R-Squired, Prediction line, Index Model.
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  • Beta Estimation Practice and its Reliability Biasness Towards Aggressive Stocks: An Empirical Evidence from NSE

Abstract Views: 195  |  PDF Views: 0

Authors

Neeraj Sanghi
Associate Professor, Faculty of Finance, Institute of Management Studies, Ghaziabad, Uttar Pradesh, India
Gaurav Bansal
Associate Professor(Finance), R.D. Engineering College, Ghaziabad, Uttar Pradesh, India

Abstract


In finance literature, 'beta' possesses a prominent place as a measurement statistic of systematic risk arising out of economic wide uncertainties. As a matter of fact, Index Model is very common in practice as leading stock exchanges of India make use of this model for beta estimation. Our study aims at this approach of beta estimation for establishing how beta coefficients for aggressive stocks prove to be more reliable than defensive stocks. Since Index Model is linear and envisages the premise of Simple Linear Regression, the researchers compare reliability of beta coefficients for aggressive and defensive stocks on the basis of R-squired statistic.

Keywords


Beta, Index Model, Simple Linear Regression, R-Squired, Prediction line, Index Model.