Price volatility, trading volume, and market depth in Asian commodity futures exchanges

This paper empirically investigates the impact of trading activity including trading volume and open interest on price volatility in Asian futures exchanges. Trading volume and open interest represent market information for investors. This study uses three different definitions of volatility: (1) da...

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Main Authors: Tanachote Boonvorachote, Kritika Lakmas
Format: Article
Language:English
Published: Elsevier 2016-01-01
Series:Kasetsart Journal of Social Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2452315116000059
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spelling doaj-1dccfff9d7644ca6bd1c3387753592f62020-11-24T20:57:43ZengElsevierKasetsart Journal of Social Sciences2452-31512016-01-01371535810.1016/j.kjss.2016.01.004Price volatility, trading volume, and market depth in Asian commodity futures exchangesTanachote BoonvorachoteKritika LakmasThis paper empirically investigates the impact of trading activity including trading volume and open interest on price volatility in Asian futures exchanges. Trading volume and open interest represent market information for investors. This study uses three different definitions of volatility: (1) daily volatility measured by close-to-close returns, (2) non-trading volatility measured by close-to-open returns, and (3) trading volatility measured by open-to-close returns. The impact of trading volume and open interest on price volatility is investigated. Following Bessembinder and Seguin (1993), volume and open interest are divided into expected and unexpected components. The GARCH (1,1) model is employed using expected and unexpected components of trading activity (volume and open interest) as explanatory variables. The results show a positive contemporaneous relationship between expected and unexpected trading volume and volatility, while open interest mitigates volatility. Policy makers can use these findings to suggest to investors that trading activity (volume and open interest) is a proxy of market information flowing to exchanges, especially unexpected trading activity. New information flowing to exchanges can mostly be noticed in unexpected trading volumes and open interests.http://www.sciencedirect.com/science/article/pii/S2452315116000059Commodity futures exchangesOpen interestTrading volumeVolatility
collection DOAJ
language English
format Article
sources DOAJ
author Tanachote Boonvorachote
Kritika Lakmas
spellingShingle Tanachote Boonvorachote
Kritika Lakmas
Price volatility, trading volume, and market depth in Asian commodity futures exchanges
Kasetsart Journal of Social Sciences
Commodity futures exchanges
Open interest
Trading volume
Volatility
author_facet Tanachote Boonvorachote
Kritika Lakmas
author_sort Tanachote Boonvorachote
title Price volatility, trading volume, and market depth in Asian commodity futures exchanges
title_short Price volatility, trading volume, and market depth in Asian commodity futures exchanges
title_full Price volatility, trading volume, and market depth in Asian commodity futures exchanges
title_fullStr Price volatility, trading volume, and market depth in Asian commodity futures exchanges
title_full_unstemmed Price volatility, trading volume, and market depth in Asian commodity futures exchanges
title_sort price volatility, trading volume, and market depth in asian commodity futures exchanges
publisher Elsevier
series Kasetsart Journal of Social Sciences
issn 2452-3151
publishDate 2016-01-01
description This paper empirically investigates the impact of trading activity including trading volume and open interest on price volatility in Asian futures exchanges. Trading volume and open interest represent market information for investors. This study uses three different definitions of volatility: (1) daily volatility measured by close-to-close returns, (2) non-trading volatility measured by close-to-open returns, and (3) trading volatility measured by open-to-close returns. The impact of trading volume and open interest on price volatility is investigated. Following Bessembinder and Seguin (1993), volume and open interest are divided into expected and unexpected components. The GARCH (1,1) model is employed using expected and unexpected components of trading activity (volume and open interest) as explanatory variables. The results show a positive contemporaneous relationship between expected and unexpected trading volume and volatility, while open interest mitigates volatility. Policy makers can use these findings to suggest to investors that trading activity (volume and open interest) is a proxy of market information flowing to exchanges, especially unexpected trading activity. New information flowing to exchanges can mostly be noticed in unexpected trading volumes and open interests.
topic Commodity futures exchanges
Open interest
Trading volume
Volatility
url http://www.sciencedirect.com/science/article/pii/S2452315116000059
work_keys_str_mv AT tanachoteboonvorachote pricevolatilitytradingvolumeandmarketdepthinasiancommodityfuturesexchanges
AT kritikalakmas pricevolatilitytradingvolumeandmarketdepthinasiancommodityfuturesexchanges
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