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Pricing of risk and volatility dynamics on an emerging stock market: evidence from both aggregate and disaggregate data

机译:新兴股票市场上的风险和波动动态定价:来自汇总和分类数据的证据

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摘要

This study analyses risk-return trade-off and behaviour of variousvolatility dynamics including: volatility, its persistence, meanreversion and speed of mean reversion along with asymmetryand leverage effect on the Pakistani stock market by employingaggregate (aggregate market level) and disaggregate (sectoral level)monthly data for the period from 1998 to 2012. Three generalisedautoregressive conditional heteroscedasticity models were applied:GARCH (1,1) for various volatility dynamics; EGARCH for asymmetricand leverage effect and GARCH-M for pricing of risk. The outcomes ofthe study are as follows: first, the volatility shocks are quite persistentbut with varying degrees across the sectors. Both the ARCH effect(short-term effect) and GARCH effect (long-term effect) play theirrole in generating conditional future stock returns volatility. Further,overall the volatility process is mean reverting; however, the speedof mean reversion varies across the sectors. Secondly, the currentstudy finds little evidence of asymmetry and leverage effect at bothaggregate and disaggregates data. Thirdly, the pricing of risk (positive risk premium) is also evident, particularly at the disaggregate data in the Pakistani stock market. Finally, this research study sets the implications for both the policy makers and investors.
机译:这项研究分析风险-收益权衡和各种波动动态的行为,包括:波动(波动率,波动率的持续性,均值回归和均值回归的速度,以及通过使用汇总(汇总市场水平)和分解(部门水平)对巴基斯坦股票市场的不对称和杠杆效应使用1998年至2012年期间的月度数据。应用了三种广义的自回归条件异方差模型:GARCH(1,1)用于各种波动率动力学; EGARCH用于非对称和杠杆效应,GARCH-M用于风险定价。该研究的结果如下:首先,波动性冲击是相当持久的,但是各个部门的波动程度不同。 ARCH效应(短期效应)和GARCH效应(长期效应)都在产生有条件的未来股票收益率波动中发挥作用。此外,整个波动过程是均值回复;但是,平均回复速度在各个部门之间有所不同。其次,目前的研究在汇总和分解数据时几乎没有证据表明存在不对称和杠杆效应。第三,风险定价(正风险溢价)也很明显,尤其是在巴基斯坦股票市场的分类数据中。最后,这项研究为政策制定者和投资者带来了启示。

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