Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

In recent two decades, artificial neural networks have been extensively used in many
business applications. Despite the growing number of research papers, only few studies …

Neural networks have been used as a nonparametric method for option pricing and hedging
since the early 1990s. Far over a hundred papers have been published on this topic. This …

This paper is a survey on the application of artificial neural networks in forecasting financial
market prices. The objective of this paper is to appraise the potential of using artificial neural …

Stock markets may be exposed to large movements for various reasons, which lead to
negative or positive returns. This research aims to find if we can predict future prices after a …

Data collection and analysis are now part and parcel of virtually all research carried out in
economics, politics, technology and medicine. As operations and calculations improve in …

Machine learning (ML) is a branch of artificial intelligent which involve the study and
development of algorithm for computer to learn from data. A computational method used in …

This paper investigates a nonparametric modular neural network (MNN) model to price the
S&P-500 European call options. The modules are based on time to maturity and moneyness …

This study compares the performances of neural network and Black-Scholes models in
pricing BIST30 (Borsa Istanbul) index call and put options with different volatility forecasting …

This paper proposes a non-parametric technique of option valuation and hedging. Here, we
replicate the extended Black–Scholes pricing model for the exotic barrier options and their …