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Option pricing using Machine Learning
16 references·2 citing·40 second hop
Option pricing using Machine Learning (2020)Option pricing using Machine LearningPricing Options and Computing Implied Volatilities using Neural Networks (2019)Pricing Options and Computing…Predicting the direction of stock market prices using tree-based classifiers (2018)Predicting the direction of s…Application of eXtreme gradient boosting trees in the construction of credit risk assessment models for financial institutions (2018)Application of eXtreme gradie…Pricing and hedging derivative securities with neural networks: Bayesian regularization, early stopping, and bagging (2001)Pricing and hedging derivativ…Pricing and hedging derivative securities with neural networks and a homogeneity hint (2000)Pricing and hedging derivativ…Option price forecasting using neural networks (2000)Option price forecasting usin…Stochastic Volatility With an Ornstein–Uhlenbeck Process: An Extension (1999)Stochastic Volatility With an…SKEWNESS AND KURTOSIS IN S&P 500 INDEX RETURNS IMPLIED BY OPTION PRICES (1996)SKEWNESS AND KURTOSIS IN S&P …Jumps and Stochastic Volatility: Exchange Rate Processes Implicit in Deutsche Mark Options (1996)Jumps and Stochastic Volatili…A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks (1994)A Nonparametric Approach to P…A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options (1993)A Closed-Form Solution for Op…Computing the Constant Elasticity of Variance Option Pricing Formula (1989)Computing the Constant Elasti…The Pricing of Options on Assets with Stochastic Volatilities (1987)The Pricing of Options on Ass…Approximate option valuation for arbitrary stochastic processes (1982)Approximate option valuation …Option pricing when underlying stock returns are discontinuous (1976)Option pricing when underlyin…The Pricing of Options and Corporate Liabilities (1973)The Pricing of Options and Co…From Traditional to Computationally Efficient Scientific Computing Algorithms in Option Pricing: Current Progresses with Future Directions (2025)From Traditional to Computati…Time-sequencing European options and pricing with deep learning – Analyzing based on interpretable ALE method (2021)Time-sequencing European opti…The valuation of options for alternative stochastic processes (1976)A Quick Algorithm for Pricing European Average Options (1991)The dynamics of stochastic volatility: evidence from underlying and options markets (2003)Optimal Portfolio Choice under Loss Aversion (2004)Theory of Rational Option Pricing (1973)A Theory of the Term Structure of Interest Rates (1985)Empirical Performance of Alternative Option Pricing Models (1997)Transform Analysis and Asset Pricing for Affine Jump-diffusions (2000)The Cross‐Section of Volatility and Expected Returns (2006)The Cost of Capital, Corporation Finance and the Theory of Investment (1958)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Theory of rational option pricing (2005)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Option pricing: A simplified approach (1979)The Value of Waiting to Invest (1982)The Efficient Market Hypothesis and Its Critics (2003)Time Series Momentum (2011)Mean–variance portfolio optimization using machine learning-based stock price prediction (2020)Forecasting gold price with the XGBoost algorithm and SHAP interaction values (2021)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Credit scoring with a data mining approach based on support vector machines (2006)It’s a Peoples Game, Isn’t It?! 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References

  • 1973The Pricing of Options and Corporate Liabilities29,064 cited
  • 1993A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options8,768 cited
  • 1976Option pricing when underlying stock returns are discontinuous5,965 cited
  • 1987The Pricing of Options on Assets with Stochastic Volatilities3,864 cited
  • 1996Jumps and Stochastic Volatility: Exchange Rate Processes Implicit in Deutsche Mark Options2,272 cited
  • 1994A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks718 cited
  • 1982Approximate option valuation for arbitrary stochastic processes608 cited
  • 1999Stochastic Volatility With an Ornstein–Uhlenbeck Process: An Extension424 cited
  • 2018Predicting the direction of stock market prices using tree-based classifiers376 cited
  • 2018Application of eXtreme gradient boosting trees in the construction of credit risk assessment models for financial institutions320 cited
  • 1996SKEWNESS AND KURTOSIS IN S&P 500 INDEX RETURNS IMPLIED BY OPTION PRICES318 cited
  • 1989Computing the Constant Elasticity of Variance Option Pricing Formula316 cited
  • 2000Option price forecasting using neural networks218 cited
  • 2000Pricing and hedging derivative securities with neural networks and a homogeneity hint211 cited

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  • 2001Pricing and hedging derivative securities with neural networks: Bayesian regularization, early stopping, and bagging169 cited
  • 2019Pricing Options and Computing Implied Volatilities using Neural Networks135 cited
  • Cited by

    • 2021Time-sequencing European options and pricing with deep learning – Analyzing based on interpretable ALE method44 cited
    • 2025From Traditional to Computationally Efficient Scientific Computing Algorithms in Option Pricing: Current Progresses with Future Directions26 cited