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

机译:亚洲商品期货交易所的价格波动,交易量和市场深度

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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.
机译:本文通过实证研究了包括期货交易量和未平仓合约在内的交易活动对亚洲期货交易所价格波动的影响。交易量和持仓量代表投资者的市场信息。这项研究使用了三种不同的波动率定义:(1)通过近乎平仓收益衡量的每日波动率;(2)通过近乎开放收益衡量的非交易波动率;以及(3)通过开放交易来衡量的交易波动率-close返回。研究了交易量和未平仓合约对价格波动的影响。继Bessembinder和Seguin(1993)之后,交易量和未平仓量被分为预期和意外部分。使用GARCH(1,1)模型,将交易活动的预期和意外组成部分(交易量和未平仓量)用作解释变量。结果显示,预期交易量和波动率与波动率之间存在正的同时关系,而未平仓合约减轻了波动率。政策制定者可以利用这些发现向投资者暗示交易活动(交易量和未平仓量)是流向交易所的市场信息的代理,尤其是意料之外的交易活动。流向交易所的新信息通常会在意想不到的交易量和未平仓量中被注意到。

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