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高阶矩风险与市场收益:来自中国期权市场的证据 被引量:1
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作者 周倜 王云奇 《管理科学学报》 CSSCI CSCD 北大核心 2024年第5期122-140,共19页
基于上证50ETF期权隐含的方差和高阶矩的期限结构,本研究使用偏最小二乘回归的降维方法构造了与中国股票市场收益相关的方差-高阶矩风险因子.实证结果显示,在2015年到2020年的样本期内,该风险因子显著地预测未来1个月以及2周至8周的市... 基于上证50ETF期权隐含的方差和高阶矩的期限结构,本研究使用偏最小二乘回归的降维方法构造了与中国股票市场收益相关的方差-高阶矩风险因子.实证结果显示,在2015年到2020年的样本期内,该风险因子显著地预测未来1个月以及2周至8周的市场收益,月度样本内和样本外R^(2)分别达到了10.08%和6.55%.在控制了常见的经济预测变量和期权变量后,该因子的预测能力仍然保持显著.这表明我国股市收益中包含了对偏度和峰度风险的补偿,与含时变高阶矩的资产定价模型相一致.在经济价值方面,方差-高阶矩因子的预测能力可为投资者在市场择时交易中带来可观的收益.结果表明,中国期权市场提供了高阶矩风险的独特信息,这为理解我国股市风险与收益的权衡关系提供了新的角度. 展开更多
关键词 上证50ETF期权 风险中性高阶矩 股票收益率可预测性 偏最小二乘回归 时变高阶矩CAPM
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Applications of nonferrous metal price volatility to prediction of China's stock market 被引量:2
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作者 彭叠峰 王建新 饶育蕾 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2014年第2期597-604,共8页
The aim of the present work is to examine whether the price volatility of nonferrous metal futures can be used to predict the aggregate stock market returns in China. During a sample period from January of 2004 to Dec... The aim of the present work is to examine whether the price volatility of nonferrous metal futures can be used to predict the aggregate stock market returns in China. During a sample period from January of 2004 to December of 2011, empirical results show that the price volatility of basic nonferrous metals is a good predictor of value-weighted stock portfolio at various horizons in both in-sample and out-of-sample regressions. The predictive power of metal copper volatility is greater than that of aluminum. The results are robust to alternative measurements of variables and econometric approaches. After controlling several well-known macro pricing variables, the predictive power of copper volatility declines but remains statistically significant. Since the predictability exists only during our sample period, we conjecture that the stock market predictability by metal price volatility is partly driven by commodity financialization. 展开更多
关键词 commodity futures nonferrous metals price volatility stock return PREDICTABILITY
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