An ergodic BSDE approach to forward entropic risk measures: representation and large-maturity behavior

Wing Fung Chong (), Ying Hu (), Gechun Liang () and Thaleia Zariphopoulou ()
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Wing Fung Chong: University of Illinois at Urbana-Champaign
Ying Hu: Université Rennes 1
Thaleia Zariphopoulou: The University of Texas at Austin

Finance and Stochastics, 2019, vol. 23, issue 1, No 7, 239-273

Abstract: Abstract Using elements from the theory of ergodic backward stochastic differential equations (BSDEs), we study the behavior of forward entropic risk measures in stochastic factor models. We derive general representation results (via both BSDEs and convex duality) and examine their asymptotic behavior for risk positions of large maturities. We also compare them with their classical counterparts and provide a parity result.

Keywords: Forward entropic risk measures; Stochastic factor models; Ergodic BSDE; Convex duality representation; Large-maturity behavior; 91G10; 91G80; 60H30 (search for similar items in EconPapers)
JEL-codes: D81 G11 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (10)

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Working Paper: An ergodic BSDE approach to forward entropic risk measures: representation and large-maturity behavior (2017)
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DOI: 10.1007/s00780-018-0377-3

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