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We develop a new approach to evaluate asset pricing models (APMs) based on Minimum Discrepancy (MD) projections that generalize the Hansen-Jagannathan (HJ, 1997) distance to account for an arbitrary number of moments of asset returns. The Minimum Discrepancy projections correct APMs to become...
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We consider an option pricing model proposed by, where the implementation of dynamic hedging strategies has a feedback … patterns of implied volatility can actually be reproduced as a consequence of dynamical hedging. The simulations are performed … maturity classes. Overall, nonlinear feedback due to hedging strategies can, at least in part, contribute to explain from a …
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We show how solutions to a large class of partial differential equations with nonlocal Riccati-type nonlinearities can be generated from the corresponding linearized equations, from arbitrary initial data. It is well known that evolutionary matrix Riccati equations can be generated by projecting...
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We develop a new approach to identify model misspecifications based on Minimum Discrepancy (MD) projections that correct asset pricing models with the use of nonlinear functions of basis assets returns. These nonlinear corrections make our method more effective than the Hansen and Jagannathan...
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