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Towards Financial Cloud Framework - Modelling and Benchmarking of Financial Assets in Public and Private Clouds

Record type: Conference or Workshop Item (Poster)

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.

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Citation

Chang, Victor, Wills, Gary and De Roure, David (2010) Towards Financial Cloud Framework - Modelling and Benchmarking of Financial Assets in Public and Private Clouds At IEEE Cloud 2010, the third International Conference on Cloud Computing, United States. 05 - 10 Jul 2010.

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, 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
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088
ORCID for David De Roure: ORCID iD orcid.org/0000-0001-9074-3016

Catalogue record

Date deposited: 20 Mar 2010 15:45
Last modified: 18 Jul 2017 06:51

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Contributors

Author: Victor Chang
Author: Gary Wills ORCID iD
Author: David De Roure ORCID iD

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