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Decoding how higher-order network interactions shape contagion dynamics. [PDF]

J Math Biol
Kiss IZ, Bick C, Simon PL.
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Backward Stochastic Differential Equations in Finance

Mathematical Finance, 1997
We are concerned with different properties of backward stochastic differential equations and their applications to finance. These equations, first introduced by Pardoux and Peng (1990), are useful for the theory of contingent claim valuation, especially cases with constraints and for the theory of recursive utilities, introduced by Duffie and Epstein ...
El Karoui, N., Peng, S., Quenez, M. C.
exaly   +3 more sources

Backward Stochastic Differential Equations in the Plane

Potential Analysis, 2002
Backward stochastic differential equations have been introduced by \textit{E. Pardoux} and \textit{S. G. Peng} [Syst. Control Lett. 14, No. 1, 55-61 (1990; Zbl 0692.93064)]. They proved existence and uniqueness of an adapted solution \((Y_t, Z_t)\) of the equation \(dY_t= -f(t;Y_t,Z_t) dt+ Z_t dW_t\), \(t\in [0,T]\), driven by a Brownian motion \(W ...
Zaïdi, N. Lanjri, Nualart, D.
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On Reflected Backward Stochastic Differential Equations

Calcutta Statistical Association Bulletin, 2002
Some aspects of reflected backward stochastic differential equations in a half-line or in an orthant are surveyed. The roleof an optimal stopping problem in solving RBSDE in a half-line is highlighted. RBSDE in an orthant with time-space dependent oblique reflection is formulated and an outline of the ideas involved in proving the existence of a unique
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Backward Stochastic Differential Equations

1999
In Chapter 3, in order to derive the stochastic maximum principle as a set of necessary conditions for optimal controls, we encountered the problem of finding adapted solutions to the adjoint equations. Those are terminal value problems of (linear) stochastic differential equations involving the Ito stochastic integral. We call them backward stochastic
Jiongmin Yong, Xun Yu Zhou
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On a class of backward doubly stochastic differential equations

Applied Mathematics and Computation, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Svetlana Jankovic, Jasmina Djordjevic, Miljana Jovanovic   +2 more
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Backward Stochastic Differential Equations

2014
In this chapter we discuss so-called “backward stochastic differential equations”, BSDEs for short. Linear BSDEs first appeared a long time ago, both as the equations for the adjoint process in stochastic control, as well as the model behind the Black and Scholes formula for the pricing and hedging of options in mathematical finance. These linear BSDEs
Etienne Pardoux, Aurel Răşcanu
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Sinc-$\theta$ Schemes for Backward Stochastic Differential Equations

SIAM Journal on Numerical Analysis, 2022
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Xu Wang, Weidong Zhao, Tao Zhou
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Backward Stochastic Differential Equations

2013
We saw in Chap. 4 that the problem of pricing and hedging financial derivatives can be modeled in terms of (possibly reflected) backward stochastic differential equations (BSDEs) or, equivalently in the Markovian setup, by partial integro-differential equations or variational inequalities (PIDEs or PDEs for short). Also, Chaps.
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