A new research paper by Hyung Joo Kim proposes a method to estimate the conditional pricing kernel by incorporating conditioning variables. The study identifies the VIX and term spread as key indicators for state price analysis. Findings show the conditional kernel exhibits significant time variation, with higher state prices in favorable market conditions and equity premiums during adverse periods attributed to left-tail risk compensation. The approach demonstrates superior out-of-sample option pricing performance compared to unconditional kernel estimates. The research highlights how market expectations influence state price dynamics, offering insights into risk premiums and financial market behavior. The work underscores advancements in economic modeling techniques for pricing kernel estimation.
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