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About Parallel Computing Applications and Financial Mode
This document discusses two parallel computing projects related to financial modeling conducted by researchers at Queen Mary, University of London. The first project involved using parallel computing techniques to optimize financial portfolios by selecting instruments in an optimal way to minimize risk. The second project applied parallel computing to financial risk assessment by modeling individual financial instruments and portfolios under varying market conditions using large historical datasets. Both projects aimed to advance the use of high performance computing in the financial sector through collaborative work with industry partners.
Detailed Information
Author: | ['Md Zahid Hossain'] |
---|---|
Publication Year: | 2020 |
Pages: | 11 |
Language: | English |
Format: | |
Price: | FREE |
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