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A novel recurrent neural network-based prediction system for option trading and hedging
9 references·2 citing·37 second hop
A novel recurrent neural network-based prediction system for option trading and hedging (2007)A novel recurrent neural network-based pr…Convertible Arbitrage: Insights and Techniques for Successful Hedging (2003)Convertible Arbitrage: Insigh…Option price forecasting using neural networks (2000)Option price forecasting usin…Valuing Convertible Bonds with Credit Risk (1998)Valuing Convertible Bonds wit…Going Up-Going Down: How Good Are People at Forecasting Trends and Changes in Trends? (1997)Going Up-Going Down: How Good…A neural network approach to mutual fund net asset value forecasting (1996)A neural network approach to …A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks (1994)A Nonparametric Approach to P…Economic prediction using neural networks: the case of IBM daily stock returns (1988)Economic prediction using neu…The Pricing of Options and Corporate Liabilities (1973)The Pricing of Options and Co…The organization of behavior. (1950)The organization of behavior.Option Pricing Using LSTM: A Perspective of Realized Skewness (2023)Option Pricing Using LSTM: A …Option Pricing Using Artificial Neural Networks : an Australian Perspective (2013)Option Pricing Using Artifici…Theory of Rational Option Pricing (1973)Theory of rational option pricing (2005)Bond Risk Premia with Machine Learning (2018)Empirical Asset Pricing via Machine Learning (2018)Empirical Asset Pricing via Machine Learning (2020)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)A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test (1988)Chaos and Nonlinear Dynamics: Application to Financial Markets (1991)Models of Bounded Rationality (1997)Forecasting with artificial neural networks: (1998)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Forecasting the behavior of multivariate time series using neural networks (1992)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Application of support vector machines in financial time series forecasting (2001)Support vector machine with adaptive parameters in financial time series forecasting (2003)A Stochastic Approximation Method (1951)Nonparametric risk management and implied risk aversion (2000)Deep Learning for Finance: Deep Portfolios (2016)A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options (1993)Option pricing using deep learning approach based on LSTM-GRU neural networks: Case of London stock exchange (2023)Are convertible bonds underpriced? An analysis of the French market (2003)Valuation of Convertible Bonds With Credit Risk (2003)Credit risk modeling with affine processes (2005)Forecasting stock indices: a comparison of classification and level estimation models (2000)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Judgmental forecasting: A review of progress over the last 25years (2006)On the incomplete architecture of human ontogeny: Selection, optimization, and compensation as foundation of developmental theory. (1997)A unified theory of implicit attitudes, stereotypes, self-esteem, and self-concept. (2002)Working memory: looking back and looking forward (2003)Convertibles and Hedge Funds as Distributors of Equity Exposure (2010)Convertible arbitrage price pressure and short sales constraints (2012)The buyers’ perspective on security design: Hedge funds and convertible bond call provisions (2017)
this work references cited by second hop

References

  • 1973The Pricing of Options and Corporate Liabilities29,064 cited
  • 1950The organization of behavior.6,922 cited
  • 1994A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks718 cited
  • 1988Economic prediction using neural networks: the case of IBM daily stock returns698 cited
  • 1998Valuing Convertible Bonds with Credit Risk222 cited
  • 2000Option price forecasting using neural networks218 cited
  • 1996A neural network approach to mutual fund net asset value forecasting171 cited
  • 1997Going Up-Going Down: How Good Are People at Forecasting Trends and Changes in Trends?71 cited
  • 2003Convertible Arbitrage: Insights and Techniques for Successful Hedging57 cited

Cited by

  • 2023Option Pricing Using LSTM: A Perspective of Realized Skewness18 cited
  • 2013Option Pricing Using Artificial Neural Networks : an Australian Perspective16 cited

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