Contemporaneous and Causal Relationship between Returns and Volumes: Evidence from Nifty Futures

AuthorAravind Sampath,Parth Garg
DOIhttp://doi.org/10.1111/irfi.12175
Published date01 September 2019
Date01 September 2019
Contemporaneous and Causal
Relationship between Returns and
Volumes: Evidence from Nifty
Futures
ARAVIND SAMPATH
AND PARTH GARG
Finance, Accounting & Control Area, Indian Institute of Management, Kozhikode,
India and
Indian Institute of Management, Kozhikode, India
ABSTRACT
Motivated by the mixture of distribution hypothesis (MDH) and sequential
arrival of information hypothesis (SAIH), we investigate the relationship
between intraday returns and volumes using derivatives data from the
emerging Indian market. Using robust statistical estimation, we document
the evidence of both MDH and SAIH in one of the most traded nancial mar-
kets in India (and the world). We document the presence of strong positive
association between returns and volumes. We further report the evidence of
strong causality from intraday returns to volumes than vice versa.
JEL Codes: C22; G12; G14; G15
Accepted: 18 December 2017
I. INTRODUCTION
The dynamics between asset returns and trading volumes has been a major
source of discussion across several studies throughout the last four decades.
When information about an asset is public, it is immediately reected as prices
and volumes. When private information moves prices, trading volumes mask
such information, yet move prices latently. The dynamics between returns and
volumes essentially captures information ow (fundamental and liquidity) in
the market. Copeland (1976) was one of the rst to document sequential arrival
of information hypothesis (SAIF) suggesting presence of a leadlag relationship
between returns and volumes. Simultaneously, Clark (1973) and Epps and Epps
(1976)
1
posited the presence of positive contemporaneous correlation between
returns and volumes, called the mixture of distribution hypothesis (MDH).
Karpoff (1986, 1987) in his seminal articles outlined the asymmetric relation-
ship between trading volumes and volatility. In recent years, several articles
1 Later Tauchen and Pitts (1983), Andersen (1996) also added to this theory.
© 2018 International Review of Finance Ltd. 2018
International Review of Finance, 19:3, 2019: pp. 653664
DOI: 10.1111/ir.12175

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