Model‐Free International Stochastic Discount Factors

Author(s):  
MIRELA SANDULESCU ◽  
FABIO TROJANI ◽  
ANDREA VEDOLIN

2019 ◽  
Vol 65 (8) ◽  
pp. 3541-3558 ◽  
Author(s):  
Fousseni Chabi-Yo ◽  
Riccardo Colacito

We propose a new entropy-based correlation measure (coentropy) to evaluate the performance of international asset pricing models. Coentropy captures the codependence of two random variables beyond normality. We document that the coentropy of international stochastic discount factors (SDFs) can be decomposed into a series of entropy-based correlations of permanent and transitory components of the SDFs. We employ the cross section of G-10 countries to obtain model-free estimates of all the components of coentropy at various horizons and we show that the generalization of the long-run risk model featuring two predictable components of consumption growth rates, global disasters, and recursive preferences can account for the composition of codependence at all horizons. This paper was accepted by Tomasz Piskorski, finance.



2020 ◽  
Author(s):  
Gurdip Bakshi ◽  
Xiaohui Gao ◽  
George Panayotov

This paper proposes a measure of dissimilarity between stochastic discount factors (SDFs) in different economies. The SDFs are made comparable using the respective bond prices as the numeraire. The measure is dimensionless, synthesizes features of the risk-neutral moments of excess currency returns, and can be extracted from currency option prices. Linking theory to data, we provide evidence gathered from (i) the cross section of 45 currency option prices, (ii) the time series of currency returns, (iii) estimated SDFs using model-free restrictions, and (iv) structural models in international finance. This paper was accepted by David Simchi-Levi, finance.



Author(s):  
Mirela Sandulescu ◽  
Fabio Trojani ◽  
Andrea Vedolin




2021 ◽  
Vol 123 ◽  
pp. 106018
Author(s):  
Nicole Branger ◽  
Michael Herold ◽  
Matthias Muck


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