A Note on Forecasting Daily Peruvian Stock Market Volatility Risk Using Intraday Returns

M. Zevallos
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引用次数: 1

Abstract

In this paper I present a model to forecast the daily Value at Risk (VaR) of the Peruvian stock market (measured through the general index of the Lima Stock Exchange: the IGBVL) based on intraday (high-frequency) data. Daily volatility is estimated using realised volatility and I adopted a regression quantile approach to calculate one-step predicted VaR values. The results suggest that the realised volatility is a useful measure to explain the Peruvian stock market volatility and I obtained sound results using quantile regression for risk estimation.
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关于利用日内收益预测秘鲁股市每日波动风险的说明
在本文中,我提出了一个基于日内(高频)数据预测秘鲁股票市场日风险值(VaR)的模型(通过利马证券交易所的综合指数:IGBVL来衡量)。每日波动率是使用实现波动率估计的,我采用回归分位数方法来计算一步预测的VaR值。结果表明,实现波动率是解释秘鲁股市波动的有效措施,我使用分位数回归进行风险估计获得了良好的结果。
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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