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Hedging With Linear Regressions and Neural Networks
16 references·2 citing·47 second hop
Hedging With Linear Regressions and Neural Networks (2021)Hedging With Linear Regressions and Neura…Deep hedging (2019)Deep hedgingOption Profit and Loss Attribution and Pricing: A New Framework (2018)Option Profit and Loss Attrib…Optimal delta hedging for options (2017)Optimal delta hedging for opt…Dynamic Hedging of Portfolio Credit Derivatives (2011)Dynamic Hedging of Portfolio …Delta-hedging vega risk? (2004)Delta-hedging vega risk?Dynamics of implied volatility surfaces (2002)Dynamics of implied volatilit…When is time continuous? (2000)When is time continuous?Pricing and hedging derivative securities with neural networks and a homogeneity hint (2000)Pricing and hedging derivativ…Do Call Prices and the Underlying Stock Always Move in the Same Direction? (2000)Do Call Prices and the Underl…Using a Financial Training Criterion Rather than a Prediction Criterion (1997)Using a Financial Training Cr…Empirical Performance of Alternative Option Pricing Models (1997)Empirical Performance of Alte…Uncertain volatility and the risk-free synthesis of derivatives (1995)Uncertain volatility and the …A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks (1994)A Nonparametric Approach to P…A neural network model for estimating option prices (1993)A neural network model for es…Discretely adjusted option hedges (1980)Discretely adjusted option he…THE SUPPLY OF DEALER SERVICES IN SECURITIES MARKETS (1978)THE SUPPLY OF DEALER SERVICES…Deep stochastic optimization in finance (2022)Deep stochastic optimization …Can a Machine Correct Option Pricing Models? (2022)Can a Machine Correct Option …Theory of Rational Option Pricing (1973)The Pricing of Options on Assets with Stochastic Volatilities (1987)Pricing and hedging derivative securities with neural networks: Bayesian regularization, early stopping, and bagging (2001)Theory of rational option pricing (2005)A Nonlinear Factor Analysis of S&P 500 Index Option Returns (2006)Neural Networks for Option Pricing and Hedging: A Literature Review (2019)The Pricing of Options and Corporate Liabilities (1973)Hedging Derivative Securities and Incomplete Markets: An ε-Arbitrage Approach (2001)Guaranteed Annuity Options (2003)Pricing Options in an Extended Black Scholes Economy with Illiquidity: Theory and Empirical Evidence (2006)The Handbook of Social Psychology (1969)The Predictive Sample Reuse Method with Applications (1975)Using neural networks to forecast the S&P 100 implied volatility (1996)Improving the pricing of options: a neural network approach (1998)Black–Scholes versus artificial neural networks in pricing FTSE 100 options (2004)A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options (1993)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Liquidity and the Law of One Price: The Case of the Futures‐Cash Basis (2007)Is there price discovery in equity options? (2012)Volatility and the cross-section of corporate bond returns (2019)Martingales and stochastic integrals in the theory of continuous trading (1981)Stochastic Differential Equations and Diffusion Processes (1983)Robust hedging of the lookback option (1998)A theoretical framework for the pricing of contingent claims in the presence of model uncertainty (2006)MODEL UNCERTAINTY AND ITS IMPACT ON THE PRICING OF DERIVATIVE INSTRUMENTS (2006)Non-Gaussian Ornstein–Uhlenbeck-based Models and Some of Their Uses in Financial Economics (2001)Non-parametric calibration of jump–diffusion option pricing models (2004)Specification Analysis of Option Pricing Models Based on Time‐Changed Lévy Processes (2004)Statistical Arbitrage in the U.S. Equities Market (2008)The Cost of Transacting (1968)THE PERFORMANCE OF MUTUAL FUNDS IN THE PERIOD 1945–1964 (1968)Optimal dealer pricing under transactions and return uncertainty (1981)Insiders' profits, costs of trading, and market efficiency (1986)Market liquidity as a sentiment indicator (2004)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Transform Analysis and Asset Pricing for Affine Jump-diffusions (2000)Modeling and Forecasting Realized Volatility (2003)Analysis of Financial Time Series (2006)A Stochastic Approximation Method (1951)Nonparametric risk management and implied risk aversion (2000)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Deep Learning for Finance: Deep Portfolios (2016)European Option Pricing with Transaction Costs (1993)Exact Simulation of Stochastic Volatility and Other Affine Jump Diffusion Processes (2006)Machine Learning for Financial Risk Management: A Survey (2020)Quant GANs: deep generation of financial time series (2020)Recent advances in reinforcement learning in finance (2023)
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References

  • 1997Empirical Performance of Alternative Option Pricing Models2,708 cited
  • 1978THE SUPPLY OF DEALER SERVICES IN SECURITIES MARKETS1,393 cited
  • 1994A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks718 cited
  • 2002Dynamics of implied volatility surfaces433 cited
  • 1995Uncertain volatility and the risk-free synthesis of derivatives364 cited
  • 2019Deep hedging332 cited
  • 2000Pricing and hedging derivative securities with neural networks and a homogeneity hint211 cited
  • 1980Discretely adjusted option hedges194 cited
  • 2000Do Call Prices and the Underlying Stock Always Move in the Same Direction?191 cited
  • 1993A neural network model for estimating option prices136 cited
  • 2000When is time continuous?130 cited
  • 2017Optimal delta hedging for options98 cited
  • 1997Using a Financial Training Criterion Rather than a Prediction Criterion77 cited
  • 2011Dynamic Hedging of Portfolio Credit Derivatives61 cited
  • 2004Delta-hedging vega risk?58 cited
  • 2018Option Profit and Loss Attribution and Pricing: A New Framework

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  • 2022Deep stochastic optimization in finance26 cited
  • 2022Can a Machine Correct Option Pricing Models?23 cited