Star-shaped risk measures
E Castagnoli, G Cattelan, F Maccheroni… - Operations …, 2022 - pubsonline.informs.org
In this paper, monetary risk measures that are positively superhomogeneous, called star-
shaped risk measures, are characterized and their properties are studied. The measures in …
shaped risk measures, are characterized and their properties are studied. The measures in …
Time consistency of dynamic risk measures and dynamic performance measures generated by distortion functions
TR Bielecki, I Cialenco, H Liu - Stochastic Models, 2024 - Taylor & Francis
The aim of this work is to study risk measures generated by distortion functions in a dynamic
discrete time setup and to investigate the corresponding dynamic coherent acceptability …
discrete time setup and to investigate the corresponding dynamic coherent acceptability …
Discrete-time option pricing with stochastic liquidity
M Leippold, S Schärer - Journal of Banking & Finance, 2017 - Elsevier
Classical option pricing theories are usually built on the law of one price, neglecting the
impact of market liquidity that may contribute to significant bid-ask spreads. Within the …
impact of market liquidity that may contribute to significant bid-ask spreads. Within the …
A novel approach to exponential stability in mean square of stochastic difference systems with delays
PHA Ngoc - Systems & Control Letters, 2022 - Elsevier
By a novel approach, we present in this paper for the first time, some explicit criteria for the
exponential stability in mean square of solutions of general stochastic difference systems …
exponential stability in mean square of solutions of general stochastic difference systems …
A posteriori error estimates for fully coupled McKean–Vlasov forward-backward SDEs
C Reisinger, W Stockinger… - IMA Journal of Numerical …, 2024 - academic.oup.com
Abstract Fully coupled McKean–Vlasov forward-backward stochastic differential equations
(MV-FBSDEs) arise naturally from large population optimization problems. Judging the …
(MV-FBSDEs) arise naturally from large population optimization problems. Judging the …
A survey of time consistency of dynamic risk measures and dynamic performance measures in discrete time: LM-measure perspective
In this work we give a comprehensive overview of the time consistency property of dynamic
risk and performance measures, focusing on a the discrete time setup. The two key …
risk and performance measures, focusing on a the discrete time setup. The two key …
Maximum principle for stochastic optimal control problem of forward–backward stochastic difference systems
S Ji, H Liu - International Journal of control, 2022 - Taylor & Francis
In this paper, we study the maximum principle for stochastic optimal control problems of
forward–backward stochastic difference systems (FBSΔSs). Two types of FBSΔSs are …
forward–backward stochastic difference systems (FBSΔSs). Two types of FBSΔSs are …
First-and second-order maximum principles for discrete-time stochastic optimal control with recursive utilities
T Song, B Liu - IEEE Transactions on Automatic Control, 2023 - ieeexplore.ieee.org
This article deals with the discrete-time stochastic optimal control problems with recursive
utilities under weakened convexity assumption. A new stochastic maximum principle is …
utilities under weakened convexity assumption. A new stochastic maximum principle is …
A unified approach to time consistency of dynamic risk measures and dynamic performance measures in discrete time
In this paper, we provide a flexible framework allowing for a unified study of time consistency
of risk measures and performance measures (also known as acceptability indices). The …
of risk measures and performance measures (also known as acceptability indices). The …
A maximum principle for fully coupled controlled forward–backward stochastic difference systems of mean-field type
T Song, B Liu - Advances in Difference Equations, 2020 - Springer
In this paper, we consider the optimal control problem for fully coupled forward–backward
stochastic difference equations of mean-field type under weak convexity assumption. By …
stochastic difference equations of mean-field type under weak convexity assumption. By …