Towards Financial Cloud Framework - Modelling and Benchmarking of Financial Assets in Public and Private Clouds
Towards Financial Cloud Framework - Modelling and Benchmarking of Financial Assets in Public and Private Clouds
Literature identifies two problems in clouds: (i) there are few financial clouds and (ii) portability of financial modelling from desktop to cloud is challenging. To address these two problems, we propose the Financial Cloud Framework (FCF), which contains business models, forecasting, sustainability, modelling, simulation and benchmarking of financial assets. We select Monte Carlo Methods for pricing and Black Scholes Model for risk analysis. Our objective is to demonstrate portability, speed, accuracy and reliability of financial models in the clouds, and present how modelling, simulation and benchmarking fit into FCF. Experiments and benchmark are performed in public and private clouds, where portability, speed, accuracy and reliability from desktop to clouds are successfully demonstrated.
Financial Cloud Framework, Monte Carlo Method, Black Scholes Model, and modelling and simulation of financial assets.
Chang, Victor
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Wills, Gary
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De Roure, David
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Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Chang, Victor, Wills, Gary and De Roure, David
(2010)
Towards Financial Cloud Framework - Modelling and Benchmarking of Financial Assets in Public and Private Clouds.
IEEE Cloud 2010, the third International Conference on Cloud Computing, Miami, Florida, United States.
05 - 10 Jul 2010.
(Submitted)
Record type:
Conference or Workshop Item
(Poster)
Abstract
Literature identifies two problems in clouds: (i) there are few financial clouds and (ii) portability of financial modelling from desktop to cloud is challenging. To address these two problems, we propose the Financial Cloud Framework (FCF), which contains business models, forecasting, sustainability, modelling, simulation and benchmarking of financial assets. We select Monte Carlo Methods for pricing and Black Scholes Model for risk analysis. Our objective is to demonstrate portability, speed, accuracy and reliability of financial models in the clouds, and present how modelling, simulation and benchmarking fit into FCF. Experiments and benchmark are performed in public and private clouds, where portability, speed, accuracy and reliability from desktop to clouds are successfully demonstrated.
Text
FCF_asset_modelling_final.pdf
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More information
Submitted date: 5 July 2010
Additional Information:
Event Dates: 5-10 July, 2010
Venue - Dates:
IEEE Cloud 2010, the third International Conference on Cloud Computing, Miami, Florida, United States, 2010-07-05 - 2010-07-10
Keywords:
Financial Cloud Framework, Monte Carlo Method, Black Scholes Model, and modelling and simulation of financial assets.
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 268769
URI: http://eprints.soton.ac.uk/id/eprint/268769
PURE UUID: bc48075e-08d9-403e-aa9d-5d8d895ce2d8
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Date deposited: 20 Mar 2010 15:45
Last modified: 15 Mar 2024 02:51
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Contributors
Author:
Victor Chang
Author:
Gary Wills
Author:
David De Roure
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