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Recovering Drifts and Preference Parameters from Financial Derivatives

Authors: Sergey Dubynskiy; Robert S. Goldstein;

Recovering Drifts and Preference Parameters from Financial Derivatives

Abstract

Although elegant and stunning from a theoretical perspective, the Recovery Theorem of Ross (2013) imposes economically implausible bounding restrictions on state vector dynamics. In this paper, we first explain why bounding permits recovery: although derivative prices are solutions to partial differential equations expressed in terms of risk-neutral drifts which entangle elements of actual drifts and risk aversion, the imposed boundary conditions allow these two components to be separately identified. More importantly, we show that for many of the models studied in the literature (e.g., Epstein-Zin (1989) preferences with time-varying expected consumption growth and jump intensity), recovery of drifts and preference parameters are possible without imposing boundedness on state vector dynamics.

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Average
Top 10%
Top 10%
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