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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Main Authors: Sarika MAHAJAN, Balwinder SINGH
Format: Article
Language:English
Published: Ala-Too International University 2009-11-01
Series:Eurasian Journal of Business and Economics
Subjects:
1)
Online Access:http://www.ejbe.org/EJBE2009Vol02No04p113MAHAJAN-SINGH.pdf
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spelling 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
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