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Modelling time-varying volatility in the Indian stock returns: Some empirical evidence

机译:模拟印度股票收益率随时间变化的波动性:一些经验证据

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This paper models time-varying volatility in one of the Indian main stock markets, namely, the National Stock Exchange (NSE) located in Mumbai, investigating whether it has been affected by the recent global financial crisis. A Chow test indicates the presence of a structural break. Both symmetric and asymmetric GARCH models suggest that the volatility of NSE returns is persistent and asymmetric and has increased as a result of the crisis. The model under the Generalized Error Distribution appears to be the most suitable one. However, its out-of-sample forecasting performance is relatively poor.
机译:本文对印度主要股票市场之一-位于孟买的国家证券交易所(NSE)-的时变波动进行建模,以调查其是否受到近期全球金融危机的影响。 Chow测试表明存在结构性断裂。对称和非对称的GARCH模型都表明,NSE收益的波动性是持久且非对称的,并且由于危机而增加。广义误差分布下的模型似乎是最合适的模型。但是,其样本外预测性能相对较差。

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