Stock Return and Trade Volume Analysis of Selected Indian Cement Companies' Stocks

Authors

  • Dr.Vikas Sharma
  • Dr. Pooja Sharma
  • Dr. Nitin Pathak

Keywords:

Stock return, volume, cement sector stocks, causal relationship

Abstract

This work aims to analyze stock return, Trade volume of select cement companies in India. Ten cement companies are selected based on high market capitalization. www.nse.india.com was used to gather information. Investors, stakeholders, and policymakers all pay close attention to the return of stock and volume analysis. Some previous study shows that there is no relationship between stock return and volume, while others show that there is. The beta, correlation, and Granger causality tests are used by researchers to analyses stock return and volume. The beta value of all firms reveals which stocks are worth investing in. The correlation result clearly reveals that stock return and volume have a positive relationship, but the relationship between stock volume and value is the strongest. The causality test, on the other hand, verifies the same conclusion.

References

• Andersen, T. (1996). “Return volatility and trading volume: An information flow interpretation of stochastic volatility”, Journal of Finance, 51, 169–204.

• Ane, T. Amd Ureche-Rangau, L. (2008).“ Does trading volume really explain stock returns volatility?”, Journal of International Financial Markets, Institutions, and Money, 18, 216– 235.

• Assogbavi, T. (2007) “Equity Price-Volume Relationship On The Russian Stock Exchange”, International Business & Economics Research Journal, Vol 6, 9, 107-116.

• Bhagat, S., Bhatia. S. (1996). “Trading Volume and Price Variability: Evidence on Lead- Lag Relations for Granger-Causality Tests”, Working paper, University of Colorado at Boulder.

• Bohl, M. T., and Henke, H. (2003). “Trading volume and stock market volatility: The Polish case”, International Review of Financial Analysis, 12, 513–525

• Brailsford, T. (1996). “The empirical relationship between trading volume, returns, and volatility”, Accounting and Finance, 35, 89–111.

• Chen, G. M., Firth, M., and Rui, O. M. (2001). “Dynamic relation between stock returns, trading volume, and volatility”. Financial Review, 36, 153–73.

• Crouch, R. L., (1970). “The volume of transactions and price changes on the New York Stock Exchange”, Financial Analysts Journal, 26, 104-109.

• Gallo, G., & Pacini, B. (2000). “The effects of trading activity on market volatility”, European Journal of Finance, 6, 163–175.

• Hiemstra, C., and Jones, J. D. (1994). “Testing for linear and non-linear Granger causality in the stock price–volume relationship”. Journal of Finance 49:1639–64.

• Karpoff, J.M., (1987). “The relation between price changes and trading volume: A survey”, Journal of Financial and Quantitative Analysis, 22, 109-126

• Morse, D. (1980). “Asymmetrical information in securities markets and trading volume”, Journal of Financial and Quantitative Analysis, 15, 1129-1 148.

• Ratner, M., and Leal, R. P. C. (2001). “Stock returns and trading volume: Evidence from the emerging markets of Latin America and Asia. Journal of Emerging Markets, 6, 5–22.

• Rogalski, R.J. (1978). “The dependence of prices and volume”, Review of Economics and Statistics, 60, 268-274.

• Smirlock, M., and Starks, L. (1985). “A further examination of stock price changes and transaction volume”, Journal of Financial Research 8, 217-225

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Published

2022-03-30

How to Cite

Sharma, D. ., Sharma, D. P. ., & Pathak, D. N. . (2022). Stock Return and Trade Volume Analysis of Selected Indian Cement Companies’ Stocks. The Journal of Contemporary Issues in Business and Government, 28(1), 59–69. Retrieved from https://cibgp.com/au/index.php/1323-6903/article/view/2285

Issue

Vol. 28 No. 1 (2022): The journal of contemporary issues in business and government

Section

Articles

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