Analysis of Intraday Volatility using High Frequency Data: An Empirical Investigation of Indian Futures Market

M. Shakeel, Bhavana Srivastava
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引用次数: 2

Abstract

In this paper, the authors have tried to analyze the intraday volatility behaviour of the S & P Nifty Index Futures prices. High frequency data (thirty minutes frequency), for the period June 2012 to May 2013, was taken for the study. Variables such as the trade size, number of trades and traded price from the trades directory and unexecuted orders of buy/sell quantity from the limit order book were included in the model to test if they have any significant impact on volatility. However, the highlight of the research is the inclusion of the interaction term (number of trades into trade size) as one of the explanatory variable into the garch volatility equation. The findings of the research is expected to contribute towards the existing body of literature, and at the same time throw some more light on the behaviour of the intraday volatility in the Index Futures prices from the dimensions that were not tested earlier in the existing research studies.
基于高频数据的日内波动分析:印度期货市场的实证研究
在本文中,作者试图分析标准普尔Nifty指数期货价格的日内波动行为。研究采用2012年6月至2013年5月期间的高频数据(30分钟频率)。模型中包括交易目录中的交易规模、交易数量和交易价格等变量,以及限价订单簿中未执行的买入/卖出数量订单,以测试它们是否对波动率有显著影响。然而,本研究的亮点在于将交互作用项(交易数量变为交易规模)作为解释变量之一纳入garch波动方程。该研究的发现有望对现有的文献做出贡献,同时从现有研究中未经过早期测试的维度对指数期货价格的盘中波动行为进行更多的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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