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Option pricing models are tools for pricing and hedging derivatives. Good models are complex and the econometrician … portfolios that aggregate option data, and track changes in risk-neutral volatility and skewness. These low-dimensional filters … designs outperform those that try to use all the available option data. I construct Unscented Kalman Filters around option …
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allows us to rewrite the hedging portfolio explicitly in terms of the Malliavin derivative of the discounted payoff. We … illustrate this new result with two applications. Firstly, we obtain a closed-form expression for the hedging portfolio of a … barrier option on a bond. Secondly, we solve explicitly the optimal portfolio problem in our framework. Related to this issue …
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We study the problem of a fund manager whose contractual incentive is given by the sum of a constant and a variable term. The manager has a power utility function and the continuous time stochastic processes driving the dynamics of the market prices exhibit mean reversion either in the...
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option portfolios. The new methodology preserves the variance swap interpretation that decomposes returns into realized … variance and option implied-variance.We apply this new methodology to explore return momentum on option portfolios across …). In contrast to stock momentum, option momentum lasts for up to five years, and does not reverse …
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