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Alternative tilts for nonparametric option pricing
14 references·0 citing·45 second hopsampled
Alternative tilts for nonparametric option pricing (2009)Alternative tilts for nonparametric optio…Nonparametric American Option Pricing (2007)Nonparametric American Option…Exact Simulation of Stochastic Volatility and Other Affine Jump Diffusion Processes (2006)Exact Simulation of Stochasti…Forecasting Using Relative Entropy (2005)Forecasting Using Relative En…Canonical valuation of options in the presence of stochastic volatility (2004)Canonical valuation of option…Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators (2003)Higher Order Properties of Gm…Pricing and hedging derivative securities with neural networks and a homogeneity hint (2000)Pricing and hedging derivativ…American options with stochastic dividends and volatility: A nonparametric investigation (2000)American options with stochas…Nonparametric Estimation of State‐Price Densities Implicit in Financial Asset Prices (1998)Nonparametric Estimation of S…The Maximum Entropy Distribution of an Asset Inferred from Option Prices (1996)The Maximum Entropy Distribut…Finite-Sample Properties of Some Alternative GMM Estimators (1996)Finite-Sample Properties of S…A Simple Nonparametric Approach to Derivative Security Valuation (1996)A Simple Nonparametric Approa…Implied Binomial Trees (1994)Implied Binomial TreesA 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…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)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)Prices of State-Contingent Claims Implicit in Option Prices (1978)Options, Futures, and Other Derivative Securities. (1990)Pricing and hedging in incomplete markets (2001)Option valuation with conditional skewness (2005)A GARCH Option Pricing Model with Filtered Historical Simulation (2008)Approximate option valuation for arbitrary stochastic processes (1982)Entropy densities with an application to autoregressive conditional skewness and kurtosis (2002)Testing the stability of implied probability density functions (2002)Asset Prices under Habit Formation and Catching up with the Joneses (1990)Habit Formation: A Resolution of the Equity Premium Puzzle (1990)Substitution, Risk Aversion, and the Temporal Behavior of Consumption and Asset Returns: An Empirical Analysis (1991)GMM Estimation of Empirical Growth Models (2001)Nonlinear Pricing Kernels, Kurtosis Preference, and Evidence from the Cross Section of Equity Returns (2002)Multivariate regression models for panel data (1982)Estimating Vector Autoregressions with Panel Data (1988)Testing Parameters in GMM Without Assuming that They Are Identified (2005)Generalized least squares inference in panel and multilevel models with serial correlation and fixed effects (2006)Small sample bias properties of the system GMM estimator in dynamic panel data models (2006)The valuation of options for alternative stochastic processes (1976)Option pricing: A simplified approach (1979)Post-'87 crash fears in the S&P 500 futures option market (2000)Stock Return Characteristics, Skew Laws, and the Differential Pricing of Individual Equity Options (2003)An Engine, Not a Camera (2006)A comparison of biased simulation schemes for stochastic volatility models (2009)Numerical solution of stochastic differential equations (2016)Exploring the sources of default clustering (2018)Deep hedging (2019)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)Recovering Risk Aversion from Option Prices and Realized Returns (2000)Do Stock Prices and Volatility Jump? Reconciling Evidence from Spot and Option Prices (2004)The Model-Free Implied Volatility and Its Information Content (2005)
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References

  • 1993A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options8,768 cited
  • 1994Implied Binomial Trees1,749 cited
  • 1996Finite-Sample Properties of Some Alternative GMM Estimators1,277 cited
  • 1998Nonparametric Estimation of State‐Price Densities Implicit in Financial Asset Prices1,060 cited
  • 2003Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators806 cited
  • 1994A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks718 cited
  • 2006Exact Simulation of Stochastic Volatility and Other Affine Jump Diffusion Processes493 cited
  • 1996A Simple Nonparametric Approach to Derivative Security Valuation372 cited
  • 1996The Maximum Entropy Distribution of an Asset Inferred from Option Prices331 cited
  • 2000Pricing and hedging derivative securities with neural networks and a homogeneity hint211 cited
  • 2005Forecasting Using Relative Entropy155 cited
  • 2000American options with stochastic dividends and volatility: A nonparametric investigation83 cited
  • 2004Canonical valuation of options in the presence of stochastic volatility29 cited
  • 2007Nonparametric American Option Pricing25 cited

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