Daily volatility behaviour in agricultural futures market

This Applied Research Project investigates the effect of daily trading volume and open interest on the daily volatility of agricultural commodities futures. Past studies have shown that trading volume exhibits a positive relationship with return volatility while open interest is negatively correlate...

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Main Authors: Ang, Kelly, Liang, Shibin, Lui, Duan Jie
Other Authors: Low Buen Sin
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/15114
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-151142023-05-19T05:41:35Z Daily volatility behaviour in agricultural futures market Ang, Kelly Liang, Shibin Lui, Duan Jie Low Buen Sin Nanyang Business School DRNTU::Business::Finance::Futures This Applied Research Project investigates the effect of daily trading volume and open interest on the daily volatility of agricultural commodities futures. Past studies have shown that trading volume exhibits a positive relationship with return volatility while open interest is negatively correlated to return volatility. Although these two relationships are widely documented in much of the existing literature, most of the focus has been on financial futures, with limited studies on commodities futures. This paper seeks to address this gap by examining agricultural futures, and to compare and discuss the effects of these two variables on volatility under four different market conditions: high volume/high open interest, high volume/low open interest, low volume/high open interest, and low volume/high open interest. We look into the Corn, Soybean, and Wheat agricultural commodities between the years of 1995 and 2008. Using the Pearson correlation and multivariate models, we establish that the two relationships are consistent with previous findings. BUSINESS 2009-03-26T04:38:53Z 2009-03-26T04:38:53Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/15114 en Nanyang Technological University 52 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Business::Finance::Futures
spellingShingle DRNTU::Business::Finance::Futures
Ang, Kelly
Liang, Shibin
Lui, Duan Jie
Daily volatility behaviour in agricultural futures market
description This Applied Research Project investigates the effect of daily trading volume and open interest on the daily volatility of agricultural commodities futures. Past studies have shown that trading volume exhibits a positive relationship with return volatility while open interest is negatively correlated to return volatility. Although these two relationships are widely documented in much of the existing literature, most of the focus has been on financial futures, with limited studies on commodities futures. This paper seeks to address this gap by examining agricultural futures, and to compare and discuss the effects of these two variables on volatility under four different market conditions: high volume/high open interest, high volume/low open interest, low volume/high open interest, and low volume/high open interest. We look into the Corn, Soybean, and Wheat agricultural commodities between the years of 1995 and 2008. Using the Pearson correlation and multivariate models, we establish that the two relationships are consistent with previous findings.
author2 Low Buen Sin
author_facet Low Buen Sin
Ang, Kelly
Liang, Shibin
Lui, Duan Jie
format Final Year Project
author Ang, Kelly
Liang, Shibin
Lui, Duan Jie
author_sort Ang, Kelly
title Daily volatility behaviour in agricultural futures market
title_short Daily volatility behaviour in agricultural futures market
title_full Daily volatility behaviour in agricultural futures market
title_fullStr Daily volatility behaviour in agricultural futures market
title_full_unstemmed Daily volatility behaviour in agricultural futures market
title_sort daily volatility behaviour in agricultural futures market
publishDate 2009
url http://hdl.handle.net/10356/15114
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