Option Pricing with Variance-Dependent Pricing Kernel Under Multiple Volatility Components Model

Option Pricing with Variance-Dependent Pricing Kernel Under Multiple Volatility Components Model
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Book Synopsis Option Pricing with Variance-Dependent Pricing Kernel Under Multiple Volatility Components Model by : 雷衣鼎

Download or read book Option Pricing with Variance-Dependent Pricing Kernel Under Multiple Volatility Components Model written by 雷衣鼎 and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We take a similar form of pricing kernel which developed by Christoffersen et al (2013) to extend the multiple volatility components model. By that way, we can obtain a more elaborate model which also explains some puzzles in the market. Apart from that, a surprise result is we don't need to estimate full parameters in model. Instead of that, we estimate the scaling factor which plays an important role when changing of measure. Empirical tests demonstrate the well ability of generalized model when reconcile time series properties of stock returns with the option prices. Furthermore, we also use the in-sample and out-sample for testing the predictability of the generalized model. The result shows the pricing kernel more or less enhancing the predictability than before..


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