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Return sign forecasts based on conditional risk: Evidence from the UK stock market index

机译:基于条件风险的回归迹象预测:来自英国股市指数的证据

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Recent theoretical works have found a link between return sign forecastability and conditional volatility. This paper compares the predictive performance of the conditional country risk and the conditional residual risk in forecasting the direction of change in the return on the UK stock market index. The conditional country risk and the conditional residual risk are estimated using the bivariate BEKK-GARCH technique and the direction of change in the UK stock market index is modelled using the binary logit approach. Both the in-sample and the out-of-sample predictions suggest that, as a predictor, the conditional residual risk is superior to the conditional country risk. Our findings support the residual risk model while contradicting the traditional capital asset pricing model (CAPM). Moreover, our tactical asset allocation simulations show that when the conditional residual risk is used in conjunction with multiple-threshold trading strategies to guide the investment decisions, the actively managed portfolio achieves greater returns than the return on a buy and hold portfolio.
机译:最近的理论工作已经发现返回标志的可预测性与条件波动性之间的联系。本文比较了有条件的国家风险和有条件的剩余风险在预测英国股市指数收益变化方向上的预测性能。使用二元BEKK-GARCH技术估算有条件的国家风险和有条件的剩余风险,并使用二进制logit方法对英国股市指数的变化方向进行建模。样本内和样本外的预测均表明,作为预测因子,有条件的剩余风险优于有条件的国家风险。我们的发现支持剩余风险模型,同时与传统的资本资产定价模型(CAPM)相矛盾。此外,我们的战术资产分配模拟结果表明,当条件残差风险与多阈值交易策略结合使用来指导投资决策时,主动管理型投资组合的收益要高于购买和持有投资组合的收益。

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