The Empirical Investigation of Relationship between Return, Volume and Volatility Dynamics in Indian Stock Market
This paper examines the empirical relationship between return, volume and volatility dynamics of stock market by using daily data of the Sensitive Index (SENSEX) during the period from October 1996 to March 2006. The empirical analysis provides evidence of positive and significant correlation betwe...
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Ala-Too International University
2009-11-01
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Online Access: | http://www.ejbe.org/EJBE2009Vol02No04p113MAHAJAN-SINGH.pdf |
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doaj-dbf0f87fc38a494aaa4bb3a5383b318f2020-11-25T01:12:43ZengAla-Too International UniversityEurasian Journal of Business and Economics 1694-59481694-59722009-11-0124113137The Empirical Investigation of Relationship between Return, Volume and Volatility Dynamics in Indian Stock Market Sarika MAHAJANBalwinder SINGHThis paper examines the empirical relationship between return, volume and volatility dynamics of stock market by using daily data of the Sensitive Index (SENSEX) during the period from October 1996 to March 2006. The empirical analysis provides evidence of positive and significant correlation between volume and return volatility that is indicative of the both mixture of distribution and sequential arrival hypothesis of information flow. Causality from volatility to volume can be seen as some evidence that new information arrival might follow a sequential rather than a simultaneous process. In addition, GARCH (1,1) documents the small declines in persistence of variance over time if one includes trading volume as a proxy for information arrivals in the equation of conditional volatility and ARCH and GARCH effects remain significant, which highlights the inefficiency in the market. This finding supports the proposition that volume provides information on the precision and dispersion of information signals, rather than serving as a proxy for the information signal itself.http://www.ejbe.org/EJBE2009Vol02No04p113MAHAJAN-SINGH.pdfcontemporaneous relationshipcausal relationshiplinear Granger causalityGARCH (11)EGARCH |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sarika MAHAJAN Balwinder SINGH |
spellingShingle |
Sarika MAHAJAN Balwinder SINGH The Empirical Investigation of Relationship between Return, Volume and Volatility Dynamics in Indian Stock Market Eurasian Journal of Business and Economics contemporaneous relationship causal relationship linear Granger causality GARCH (1 1) EGARCH |
author_facet |
Sarika MAHAJAN Balwinder SINGH |
author_sort |
Sarika MAHAJAN |
title |
The Empirical Investigation of Relationship between Return, Volume and Volatility Dynamics in Indian Stock Market |
title_short |
The Empirical Investigation of Relationship between Return, Volume and Volatility Dynamics in Indian Stock Market |
title_full |
The Empirical Investigation of Relationship between Return, Volume and Volatility Dynamics in Indian Stock Market |
title_fullStr |
The Empirical Investigation of Relationship between Return, Volume and Volatility Dynamics in Indian Stock Market |
title_full_unstemmed |
The Empirical Investigation of Relationship between Return, Volume and Volatility Dynamics in Indian Stock Market |
title_sort |
empirical investigation of relationship between return, volume and volatility dynamics in indian stock market |
publisher |
Ala-Too International University |
series |
Eurasian Journal of Business and Economics |
issn |
1694-5948 1694-5972 |
publishDate |
2009-11-01 |
description |
This paper examines the empirical relationship between return, volume and volatility dynamics of stock market by using daily data of the Sensitive Index (SENSEX) during the period from October 1996 to March 2006. The empirical analysis provides evidence of positive and significant correlation between volume and return volatility that is indicative of the both mixture of distribution and sequential arrival hypothesis of information flow. Causality from volatility to volume can be seen as some evidence that new information arrival might follow a sequential rather than a simultaneous process. In addition, GARCH (1,1) documents the small declines in persistence of variance over time if one includes trading volume as a proxy for information arrivals in the equation of conditional volatility and ARCH and GARCH effects remain significant, which highlights the inefficiency in the market. This finding supports the proposition that volume provides information on the precision and dispersion of information signals, rather than serving as a proxy for the information signal itself. |
topic |
contemporaneous relationship causal relationship linear Granger causality GARCH (1 1) EGARCH |
url |
http://www.ejbe.org/EJBE2009Vol02No04p113MAHAJAN-SINGH.pdf |
work_keys_str_mv |
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