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PRICING OF HIGH-DIMENSIONAL AMERICAN OPTIONS BY NEURAL NETWORKS
16 references·8 citing·32 second hop
PRICING OF HIGH-DIMENSIONAL AMERICAN OPTIONS BY NEURAL NETWORKS (2010)PRICING OF HIGH-DIMENSIONAL AMERICAN OPTI…A QUANTIZATION TREE METHOD FOR PRICING AND HEDGING MULTIDIMENSIONAL AMERICAN OPTIONS (2005)A QUANTIZATION TREE METHOD FO…Primal-Dual Simulation Algorithm for Pricing Multidimensional American Options (2004)Primal-Dual Simulation Algori…Pricing American Options: A Duality Approach (2004)Pricing American Options: A D…Number of paths versus number of basis functions in American option pricing (2004)Number of paths versus number…MaxWeight scheduling in a generalized switch: State space collapse and workload minimization in heavy traffic (2004)MaxWeight scheduling in a gen…Monte Carlo Methods in Financial Engineering (2003)Monte Carlo Methods in Financ…Monte Carlo valuation of American options (2002)Monte Carlo valuation of Amer…An analysis of a least squares regression method for American option pricing (2002)An analysis of a least square…Valuing American Options by Simulation: A Simple Least-Squares Approach (2001)Valuing American Options by S…Regression methods for pricing complex American-style options (2001)Regression methods for pricin…Pricing American options: a comparison of Monte Carlo simulation approaches (2001)Pricing American options: a c…Applications of Malliavin calculus to Monte-Carlo methods in finance. II (2001)Applications of Malliavin cal…Optimal stopping of Markov processes: Hilbert space theory, approximation algorithms, and an application to pricing high-dimensional financial derivatives (1999)Optimal stopping of Markov pr…Mathematics of Financial Markets (1999)Mathematics of Financial Mark…Applications of Malliavin calculus to Monte Carlo methods in finance (1999)Applications of Malliavin cal…Valuation of the early-exercise price for options using simulations and nonparametric regression (1996)Valuation of the early-exerci…Solving high-dimensional optimal stopping problems using deep learning (2021)Solving high-dimensional opti…Pricing and Hedging American-Style Options with Deep Learning (2020)Pricing and Hedging American-…Machine learning for pricing American options in high-dimensional Markovian and non-Markovian models (2020)Machine learning for pricing …Deep neural network framework based on backward stochastic differential equations for pricing and hedging American options in high dimensions (2020)Deep neural network framework…Sequential Design for Optimal Stopping Problems (2015)Sequential Design for Optimal…Quantitative error estimates for a least-squares Monte Carlo algorithm for American option pricing (2013)Quantitative error estimates …Pricing Bermudan options by nonparametric regression: optimal rates of convergence for lower estimates (2010)Pricing Bermudan options by n…A Review on Regression-based Monte Carlo Methods for Pricing American Options (2010)A Review on Regression-based …Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks (1992)Dynamic server allocation to parallel queues with randomly varying connectivity (1993)Achieving 100% throughput in an input-queued switch (2002)Scheduling Flexible Servers with Convex Delay Costs: Heavy-Traffic Optimality of the Generalized cμ-Rule (2004)SCHEDULING IN A QUEUING SYSTEM WITH ASYNCHRONOUSLY VARYING SERVICE RATES (2004)Maximum Pressure Policies in Stochastic Processing Networks (2005)Pricing American-style securities using simulation (1997)A Monte Carlo Method for Optimal Portfolios (2003)OPTIMAL MULTIPLE STOPPING AND VALUATION OF SWING OPTIONS (2008)A Re-Examination of Traditional Hypotheses about the Term Structure of Interest Rates (1981)Discrete-time approximation and Monte-Carlo simulation of backward stochastic differential equations (2004)The Pricing of Options and Corporate Liabilities (1973)Theory of Rational Option Pricing (1973)New frontiers for arch models (2002)Option Pricing Under a Double Exponential Jump Diffusion Model (2004)Theory of rational option pricing (2005)Options: A Monte Carlo approach (1977)Option pricing: A simplified approach (1979)ANNIVERSARY ARTICLE: Option Pricing: Valuation Models and Applications (2004)Information Relaxations and Duality in Stochastic Dynamic Programs (2010)A quantization algorithm for solving multidimensional discrete-time optimal stopping problems (2003)Pricing and Hedging Spread Options (2003)Brownian Motion and Stochastic Calculus (2007)Stochastic differential equations and applications (2008)Numerical solution of stochastic differential equations (2016)Martingales and arbitrage in multiperiod securities markets (1979)Dynamic Asset Pricing Theory. (1993)Markov Perfect Industry Dynamics with Many Firms (2005)Multilevel Monte Carlo Path Simulation (2008)Can Time‐Varying Risk of Rare Disasters Explain Aggregate Stock Market Volatility? (2013)Simulation Modeling and Analysis (2016)A stochastic mesh method for pricing high-dimensional American options (2004)
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References

  • 2003Monte Carlo Methods in Financial Engineering3,818 cited
  • 2001Valuing American Options by Simulation: A Simple Least-Squares Approach3,218 cited
  • 2001Regression methods for pricing complex American-style options612 cited
  • 2002Monte Carlo valuation of American options554 cited
  • 1999Applications of Malliavin calculus to Monte Carlo methods in finance549 cited
  • 1996Valuation of the early-exercise price for options using simulations and nonparametric regression517 cited
  • 2004MaxWeight scheduling in a generalized switch: State space collapse and workload minimization in heavy traffic460 cited
  • 2004Pricing American Options: A Duality Approach452 cited
  • 2004Primal-Dual Simulation Algorithm for Pricing Multidimensional American Options420 cited
  • 2002An analysis of a least squares regression method for American option pricing342 cited
  • 1999Mathematics of Financial Markets338 cited
  • 1999Optimal stopping of Markov processes: Hilbert space theory, approximation algorithms, and an application to pricing high-dimensional financial derivatives326 cited
  • 2005A QUANTIZATION TREE METHOD FOR PRICING AND HEDGING MULTIDIMENSIONAL AMERICAN OPTIONS192 cited
  • 2001Applications of Malliavin calculus to Monte-Carlo methods in finance. II174 cited

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  • 2001Pricing American options: a comparison of Monte Carlo simulation approaches163 cited
  • 2004Number of paths versus number of basis functions in American option pricing151 cited
  • Cited by

    • 2021Solving high-dimensional optimal stopping problems using deep learning88 cited
    • 2020Pricing and Hedging American-Style Options with Deep Learning69 cited
    • 2020Deep neural network framework based on backward stochastic differential equations for pricing and hedging American options in high dimensions63 cited
    • 2010Pricing Bermudan options by nonparametric regression: optimal rates of convergence for lower estimates61 cited
    • 2020Machine learning for pricing American options in high-dimensional Markovian and non-Markovian models61 cited
    • 2013Quantitative error estimates for a least-squares Monte Carlo algorithm for American option pricing42 cited
    • 2010A Review on Regression-based Monte Carlo Methods for Pricing American Options35 cited
    • 2015Sequential Design for Optimal Stopping Problems31 cited