高阶矩风险与市场收益:来自中国期权市场的证据

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.

Applications of nonferrous metal price volatility to prediction of China's stock market

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.

杠杆投资者融资交易行为模式研究——来自A股市场的经验证据

自2010年证监会推出融资融券方案以来,A股市场上融资交易和融资余额都出现了较为显著的增长。目前A股市场上融资余额总量已达到万亿元的水平,对于中国股市的重要性日趋增加。有鉴于此,有必要对杠杆投资者的融资交易行为模式以及其对A股定价机制的影响进行更加深入地研究。本文通过实证研究检验杠杆投资者的融资交易行为模式与市场回报率、流动性等重要指标之间的相关关系。研究发现,滞后股票收益与杠杆投资者的净融资交易额之间存在着显著的正相关关系,说明我国杠杆投资者总体而言是追涨杀跌的趋势追逐者。股票价格下跌对融资交易的影响显著大于股票价格上涨所带来的影响,且这种不对称性在很大程度上是由市场收益而非个股异质性收益所引起的。此外,杠杆投资者的融资交易行为与未来股票周度收益之间存在负相关关系,这种负相关主要是由融资净卖出所引起的。