A Cray T3E implementation of a parallel stochastic dynamic assets and liabilities management model
Parallel Computing - Special issue on parallel computing in economics, finance and decision-making
Parallel implementation of a two-factor Cheyette-beta model calibration
Parallel Computing - Special issue on parallel computing in economics, finance and decision-making
A parallel model for the foreign exchange market
Parallel Computing - Special issue on parallel computing in economics, finance and decision-making
Parallel and Distributed Computing: A Survey of Models, Paradigms and Approaches
Parallel and Distributed Computing: A Survey of Models, Paradigms and Approaches
Parallel evolutionary training algorithms for “hardware-friendly“ neural networks
Natural Computing: an international journal
Monte Carlo grid for financial risk management
Future Generation Computer Systems - Special issue: Parallel computing technologies
Which GARCH Model for Option Valuation?
Management Science
International Journal of Electronic Finance
Prediction of corporate financial health by Artificial Neural Network
International Journal of Electronic Finance
The relationship between market sentiment and equity premium: an artificial neural network analysis
International Journal of Electronic Finance
A genetic-based hybrid approach to corporate failure prediction
International Journal of Electronic Finance
Does stock market volatility with regime shifts signal the business cycle in Taiwan?
International Journal of Electronic Finance
Portfolio diversification: the role of information technology in future investment decision-making
International Journal of Electronic Finance
International Journal of Electronic Finance
Securing computerised models and data against integrity attacks
International Journal of Electronic Finance
Social media and online dating service providers: reexamining the new face of romance
International Journal of Business Information Systems
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This paper compares two distributed computing environments when used to price financial contingent claims with Monte Carlo methods: a PC grid and a scientific computing Linux cluster. The paper also investigates the performances for different distributing strategies. On the basis of our experiments, a PC grid can be considered competitive with a scientific computing cluster. Both the cluster and the PC grid achieved nearly linear speed-up. We also find that it is optimal to set the number of jobs to twice the number of cores. Finally, we discuss the use of distributed computing in other fields of electronic finance.