波动性(金融)
股票市场
中国
杠杆(统计)
股市波动
金融经济学
经济
库存(枪支)
地缘政治学
业务
货币经济学
政治学
地理
背景(考古学)
考古
法学
机器学习
政治
计算机科学
标识
DOI:10.1016/j.frl.2022.103526
摘要
The Russia-Ukraine conflict has brought ripple effects to the global economy. This paper mainly investigates whether investor attention to the Russia-Ukraine conflict can affect the Chinese stock market volatility. Empirical results show investor attention to the Russia-Ukraine conflict contains more valuable information to predict Chinese stock market volatility than some popular predictors such as leverage, jump, geopolitical risk. Importantly, we find the model containing ATT_AU information and least absolute shrinkage and selection operator (LASSO) method performs best among the models, especially during long-term horizons.
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