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FPGA Implementation of Pseudo Random Number Generators for Monte Carlo Methods in Quantitative Finance

2008 International Conference on Reconfigurable Computing and FPGAs, 2008
FPGA based implementations of two classes of pseudo random number(PRN) generator, intended for use in Monte Carlo methods for finance, are presented. FPGA implementations potentially offer reduced cost and improved performance compared to general purpose processor (GPP) systems such as PCs or mainframes. The first class of PRN generator, which includes
Simon Banks   +2 more
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High performance computing in quantitative finance: A review from the pseudo-random number generator perspective

Monte Carlo Methods and Applications, 2014
Abstract. The great demand for high computational capabilities is omnipresent in every facet of modern financial activities, ranging from financial product pricing, trading and hedging at the front desk on the one end to risk management activities for in house monitoring and legislative compliance on the other.
Michael Mascagni, Yue Qiu, Lin-Yee Hin
openaire   +1 more source

Editorial for special issue on advances in Actuarial Science and quantitative finance

Methodology and Computing in Applied Probability, 2022
Runhuan Feng
exaly  

Model Talk: Calculative Cultures in Quantitative Finance

Science Technology and Human Values, 2021
Kristian Bondo Hansen
exaly  

RECENT DEVELOPMENTS IN QUANTITATIVE FINANCE: AN OVERVIEW

Annals of Financial Economics, 2014
Chia-Lin Chang
exaly  

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