This paper compares the performance of artificial neural networks (ANNs) with that of the modified Black model in both pricing and hedging Short Sterling options. Using high frequency data, standard and hybrid ANNs are trained to generate option prices. The hybrid ANN is significantly superior to both the modified Black model and the standard ANN in pricing call and put options. Hedge ratios for hedging Short Sterling options positions using Short Sterling futures are produced using the standard and hybrid ANN pricing models, the modified Black model, and also standard and hybrid ANNs trained directly on the hedge ratios. The performance of hedge ratios from ANNs directly trained on actual hedge ratios is significantly superior to those bas...
Neural network algorithms are applied to the problem of option pricing and adopted to simulate the n...
In this paper I study whether a deep feedforward network model performs better than the Black- Schol...
I develop and present a non-parametric and empirical method for pricing derivative securities. The m...
This paper compares the performance of artificial neural networks (ANNs) with that of the modified B...
The Black-Scholes formula is a well-known model for pricing and hedging derivative securities. It re...
In this paper the pricing performance of the artificial neural network is compared to the Black-Scho...
This paper compares the performance of Black-Scholes with an artificial neural network (ANN) in pric...
In this paper the pricing performance of the artificial neural network is compared to the Black-Scho...
This paper gives an overview of the research that has been conducted regarding neural networks in op...
Due to the increasing and varying risks that economic units face with, derivative instruments gain s...
In this paper, the performance of artificial neural networks in option pricing was analyzed and comp...
This thesis examines the application of neural networks in the context of option pricing. Throughout...
A hybrid valuation methodology is proposed and tested for improving the efficiency of contingent cla...
Machine learning techniques have revolutionized the field of financial engineering by providing accu...
The modern derivatives market has been steadily growing since the development of the first accurate ...
Neural network algorithms are applied to the problem of option pricing and adopted to simulate the n...
In this paper I study whether a deep feedforward network model performs better than the Black- Schol...
I develop and present a non-parametric and empirical method for pricing derivative securities. The m...
This paper compares the performance of artificial neural networks (ANNs) with that of the modified B...
The Black-Scholes formula is a well-known model for pricing and hedging derivative securities. It re...
In this paper the pricing performance of the artificial neural network is compared to the Black-Scho...
This paper compares the performance of Black-Scholes with an artificial neural network (ANN) in pric...
In this paper the pricing performance of the artificial neural network is compared to the Black-Scho...
This paper gives an overview of the research that has been conducted regarding neural networks in op...
Due to the increasing and varying risks that economic units face with, derivative instruments gain s...
In this paper, the performance of artificial neural networks in option pricing was analyzed and comp...
This thesis examines the application of neural networks in the context of option pricing. Throughout...
A hybrid valuation methodology is proposed and tested for improving the efficiency of contingent cla...
Machine learning techniques have revolutionized the field of financial engineering by providing accu...
The modern derivatives market has been steadily growing since the development of the first accurate ...
Neural network algorithms are applied to the problem of option pricing and adopted to simulate the n...
In this paper I study whether a deep feedforward network model performs better than the Black- Schol...
I develop and present a non-parametric and empirical method for pricing derivative securities. The m...