Ankirchner, S., Imkeller, P., & Dos Reis, G. (2007). Classical and variational differentiability of BSDEs with quadratic growth. Electronic Journal of Probability, 12, 1418–1453.
Article
Google Scholar
Beck, C., Weinan, E., & Jentzen, A. (2017). Machine learning approximation algorithm for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations. arXiv:1709.05963.
Bender, C., & Steiner, J. (2012). Least-squares Monte Carlo for backward SDEs. In R.A. Carmona, et al. (Eds.), Numerical methods in Finance (pp. 257–289). Berlin: Springer.
Chapter
Google Scholar
Bergman, Y. Z. (1995). Option pricing with different interest rates. Review of Financial Studies, 8(2), 475–500.
Article
Google Scholar
Bouchard, B., & Touzi, N. (2004). Discrete-time approximation and Monte-Carlo simulation of backward stochastic differential equations. Stochastic Processes and their Applications, 111, 175–206.
Article
Google Scholar
Brigo, D., Morini, M., & Pallavicini, A. (2013). Counterparty credit risk, collateral and funding. West Sussex: Wiley.
Book
Google Scholar
Chassagneux, J. F., & Richou, A. (2016). Numerical simulation of quadratic BSDEs. Annals of Applied Probabilities, 26(1), 262–304.
Article
Google Scholar
Crepey, S. (2015). Bilateral counterparty risk under funding constraints part I: Pricing, part II: CVA. Mathematical Finance, 25(1), 1–50.
Article
Google Scholar
Crepey, S., & Bielecki, T. (2014). with an introductory dialogue. In D. Brigo (Ed.), Counterparty risk and funding. New York: CRC Press.
Google Scholar
Crepey, S., & Nguyen, T. M. (2016). Nonlinear Monte Carlo schemes for counterparty risk on credit derivatives. In K. Glau, Z. Grbac, M. Scherer, & R. Zagst (Eds.), Innovations in derivatives markets. Springer proceedings in mathematics and statistics (Vol. 165). Cham: Springer.
Google Scholar
El Karoui, N., Kapoudjian, C., Pardoux, E., Peng, S., & Quenez, M. C. (1997a). Reflected solutions of backward SDE’s and related obstacle problems for PDE’s. Annals of Probability, 25(2), 702–737.
Article
Google Scholar
El Karoui, N., Peng, S., & Quenez, M. C. (1997b). Backward stochastic differential equations in finance. Mathematical Finance, 7(1), 1–71.
Article
Google Scholar
Fujii, M., & Takahashi, A. (2012a). Collateralized credit default swaps and default dependence. The Journal of Credit Risk, 8(3), 97–113.
Article
Google Scholar
Fujii, M., & Takahashi, A. (2012b). Analytical approximation for non-linear FBSDEs with perturbation scheme. International Journal of Theoretical and Applied Finance, 15(5), 1250034. (24).
Article
Google Scholar
Fujii, M., & Takahashi, A. (2013). Derivative pricing under asymmetric and imperfect collateralization and CVA. Quantitative Finance, 13(5), 749–768.
Article
Google Scholar
Fujii, M., & Takahashi, A. (2015). Perturbative expansion technique for non-linear FBSDEs with interacting particle method. Asia-Pacific Financial Markets, 22(3), 283–304.
Article
Google Scholar
Fujii, M., & Takahashi, A. (2018a). Solving backward stochastic differential equations with quadratic-growth drivers by connecting the short-term expansions. Stochastic Processes and their Applications (in press).
Fujii, M., & Takahashi, A. (2018b). Quadratic-exponential growth BSDEs with jumps and their Malliavin’s differentiability. Stochastic Processes and their Applications, 128(6), 2083–2130.
Article
Google Scholar
Fujii, M., & Takahashi, A. (2019). Asymptotic expansion for forward–backward SDEs with jumps. Stochastics, 91(2), 175–214.
Article
Google Scholar
Gobet, E., Lemor, J.-P., & Warin, X. (2005). A regression-based Monte Carlo method to solve backward stochastic differential equations. The Annals of Applied Probability, 15(3), 2172–2202.
Article
Google Scholar
Imkeller, P., & Dos Reis, G. (2010). Path regularity and explicit convergence rate for BSDEs with truncated quadratic growth. Stochastic Processes and their Applications, 120, 348–379. (Corrigendum for Theorem 5.5, 2010, 120, 2286–2288).
Article
Google Scholar
Kingma, D. P., & Ba, J. L. (2015). ADAM: A method for stochastic optimization. arXiv:1412.6980.
Ma, J., & Yong, J. (2000). Forward-backward stochastic differential equations and their applications. Berlin: Springer.
Google Scholar
Nakano, M., Takahashi, A., & Takahashi, S. (2017a). Fuzzy logic-based portfolio selection with particle filtering and anomaly detection. Knowledge-Based Systems, 131, 113–124.
Article
Google Scholar
Nakano, M., Takahashi, A., & Takahashi, S. (2017b). Robust technical trading with fuzzy knowledge-based systems. Frontiers in Artificial Intelligence and Applications, 297, 652–667.
Google Scholar
Nakano, M., Takahashi, A., & Takahashi, S. (2017c). Creating investment scheme with state space modeling. Expert Systems with Applications, 81, 53–66.
Article
Google Scholar
Takahashi, A. (2015). Asymptotic expansion approach in finance in large deviations and asymptotic methods in finance. In P. Friz, J. Gatheral, A. Gulisashvili, A. Jacquier, & J. Teichman (Eds.), Springer proceedings in mathematics and statistics. New York: Springer.
Google Scholar
Takahashi, A., & Yamada, T. (2015). An asymptotic expansion of forward-backward SDEs with a perturbed driver. International Journal of Financial Engineering, 02(02), 1550020. (29).
Article
Google Scholar
Weinan, E., & Han, J. (2016). Deep learning approximation for stochastic control problems. arXiv:1611.07422.
Weinan, E., Han, J., & Jentzen, A. (2017b). Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations. arXiv:1706.04702.
Weinan, E., Hutzenthaler, M., Jentzen, A., & Kruse, T. (2016). Linear scaling algorithm for solving high-dimensional nonlinear parabolic differential equations. arXiv:1607.03295.
Weinan, E., Hutzenthaler, M., Jentzen, A., & Kruse, T. (2017a). On multilevel Picard numerical approximations for high-dimensional nonlinear parabolic partial differential equations and high-dimensional nonlinear backward stochastic differential equations. arXiv:1708.03223.
Zhang, J. (2001). Some fine properties of backward stochastic differential equations. Ph.D. Thesis, Purdue University.
Zhang, J. (2004). A numerical scheme for BSDEs. The Annals of Applied Probability, 14(1), 459–488.
Article
Google Scholar
Zhang, J. (2017). Backward stochastic differential equations, probability theory and stochastic modelling (Vol. 86). New York: Springer.
Book
Google Scholar