Black-Box CoVaR and Its Gradient Estimation
References
- (2008) CoVaR. Staff Report No. 348, Federal Reserve Bank of New York, New York.Google Scholar
- (2021) Backtesting marginal expected shortfall and related systemic risk measures. Management Sci. 67(9):5730–5754.Link, Google Scholar
- (2013) Multivariate Markov-switching models and tail risk interdependence. Preprint, submitted December 22, https://arxiv.org/abs/1312.6407.Google Scholar
- (2023) Non-Gaussian models for CoVaR estimation. Internat. J. Forecast. 39(1):391–404.Crossref, Google Scholar
- (1987) Kernel estimators of regression functions. Bewley TF, ed. Advances in Econometrics: Fifth World Congress, vol. 1 (Cambridge University Press, Cambridge, UK), 99–144.Crossref, Google Scholar
- (2025a) Black-box CoVaR and its gradient estimation. https://doi.org/10.1287/ijoc.2024.0833.cd, https://github.com/INFORMSJoC/2024.0833.Google Scholar
- (2025b) Blackbox simulation optimization. J. Oper. Res. Soc. China 13(September):723–749.Crossref, Google Scholar
- (2025c) Infinitesimal perturbation analysis (IPA) derivative estimation with unknown parameters. Automatica 174:112140.Crossref, Google Scholar
- (2015) Handbook of Simulation Optimization (Springer Science+Business Media, New York).Crossref, Google Scholar
- (1995) Sensitivity analysis for Monte Carlo simulation of option pricing. Probab. Eng. Inf. Sci. 9(3):417–446.Crossref, Google Scholar
- (2004) Monte Carlo Methods in Financial Engineering, vol. 53 (Springer, New York).Google Scholar
- (2009) Estimating quantile sensitivities. Oper. Res. 57(1):118–130.Link, Google Scholar
- (2025) Technical note—On the convergence rate of stochastic approximation for gradient-based stochastic optimization. Oper. Res. 73(2):1143–1150.Link, Google Scholar
- (2025a) Quantile optimization via multiple-timescale local search for black-box functions. Oper. Res. 73(3):1535–1557. Link, Google Scholar
- (2022) A stochastic approximation method for simulation-based quantile optimization. INFORMS J. Comput. 34(6):2889–2907.Link, Google Scholar
- (2025b) Simulation optimization of conditional value-at-risk. IISE Trans. 57(10):1167–1181.Crossref, Google Scholar
- (2024) Monte Carlo estimation of CoVaR. Oper. Res. 72(6):2337–2357.Link, Google Scholar
- (2018) Measuring systemic risk in the European banking sector: A copula CoVaR approach. Eur. J. Finance 24(11):944–975.Crossref, Google Scholar
- (2012) Optimization of the quantile criterion for the convex loss function by a stochastic quasigradient algorithm. Ann. Oper. Res. 200(1):183–198.Crossref, Google Scholar
- (1952) Stochastic estimation of the maximum of a regression function. Ann. Math. Statist. 23(3):462–466.Crossref, Google Scholar
- (2003) Stochastic Approximation and Recursive Algorithms and Applications (Springer, New York).Google Scholar
- (2024) Eliminating ratio bias for gradient-based simulated parameter estimation. Preprint, submitted November 20, https://arxiv.org/abs/2411.12995.Google Scholar
- (2009) Kernel estimation of quantile sensitivities. Naval Res. Logist. 56(6):511–525.Crossref, Google Scholar
- (2024) Bayesian stochastic gradient descent for stochastic optimization with streaming input data. SIAM J. Optim. 34(1):389–418.Crossref, Google Scholar
- (1982) Weak and strong uniform consistency of kernel regression estimates. Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete 61(September):405–415.Crossref, Google Scholar
- (2014) On dependence consistency of CoVaR and some other systemic risk measures. Statist. Risk Modeling 31(1):49–77.Crossref, Google Scholar
- (2018) Time-varying systemic risk: Evidence from a dynamic copula model of CDS spreads. J. Bus. Econom. Statist. 36(2):181–195.Crossref, Google Scholar
- (1962) On estimation of a probability density function and mode. Ann. Math. Statist. 33(3):1065–1076.Crossref, Google Scholar
- (1978) Weak and strong uniform consistency of the kernel estimate of a density and its derivatives. Ann. Statist. 6(1):177–184.Google Scholar
- (2019) Stochastic approximation for simulation optimization under input uncertainty with streaming data. Mustafee N, Bae KHG, Lazarova-Molnar S, Rabe M, Szabo C, Haas P, Son YJ, eds. 2019 Winter Simulation Conference (WSC) (IEEE, New York), 3597–3608.Google Scholar
- (1992) Multivariate stochastic approximation using a simultaneous perturbation gradient approximation. IEEE Trans. Automatic Control 37(3):332–341.Crossref, Google Scholar
- (2003) Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control (John Wiley & Sons, Hoboken, NJ).Crossref, Google Scholar
- (2022) A multilevel simulation optimization approach for quantile functions. INFORMS J. Comput. 34(1):569–585.Link, Google Scholar
- (2024) A simulation-based method for estimating systemic risk measures. Eur. J. Oper. Res. 313(1):312–324.Crossref, Google Scholar
- (2018) Online quantification of input uncertainty for parametric models. Rabe M, Juan AA, Mustafee N, Skoogh A, Jain S, Johansson B, eds. 2018 Winter Simulation Conference (WSC) (IEEE, New York), 1587–1598.Google Scholar

