Monte carlo simulation on computational finance for grid computing

Preve, NP; Protonotarios, EN

dc.contributor.author	Preve, NP	en
dc.contributor.author	Protonotarios, EN	en
dc.date.accessioned	2014-03-01T02:11:28Z
dc.date.available	2014-03-01T02:11:28Z
dc.date.issued	2012	en
dc.identifier.issn	17939623	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29909
dc.subject	Computational algorithms and software	en
dc.subject	Financial derivatives	en
dc.subject	Grid computing	en
dc.subject	Monte Carlo method	en
dc.subject	Simulation	en
dc.subject	Statistics	en
dc.subject.other	Computational algorithm	en
dc.subject.other	Computational finance	en
dc.subject.other	Computer processing	en
dc.subject.other	Deterministic algorithms	en
dc.subject.other	Exact results	en
dc.subject.other	Financial derivatives	en
dc.subject.other	Future trends	en
dc.subject.other	Heterogeneous computers	en
dc.subject.other	Large amounts of data	en
dc.subject.other	Monte Carlo Simulation	en
dc.subject.other	Monte Carlo simulation methods	en
dc.subject.other	Pseudo-random numbers	en
dc.subject.other	Random sampling	en
dc.subject.other	Simulation	en
dc.subject.other	Simulation-based	en
dc.subject.other	Stock price	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer resource management	en
dc.subject.other	Computer software	en
dc.subject.other	Grid computing	en
dc.subject.other	Investments	en
dc.subject.other	Statistics	en
dc.subject.other	Monte Carlo methods	en
dc.title	Monte carlo simulation on computational finance for grid computing	en
heal.type	journalArticle	en
heal.identifier.primary	10.1142/S1793962312500109	en
heal.identifier.secondary	http://dx.doi.org/10.1142/S1793962312500109	en
heal.identifier.secondary	1250010	en
heal.publicationDate	2012	en
heal.abstract	Monte Carlo methods are a class of computational algorithms that rely on repeated random sampling to compute their results. Monte Carlo methods are often used in simulating complex systems. Because of their reliance on repeated computation of random or pseudo-random numbers, these methods are most suited to calculation by a computer and tend to be used when it is infeasible or impossible to compute an exact result with a deterministic algorithm. In finance, Monte Carlo simulation method is used to calculate the value of companies, to evaluate economic investments and financial derivatives. On the other hand, Grid Computing applies heterogeneous computer resources of many geographically disperse computers in a network in order to solve a single problem that requires a great number of computer processing cycles or access to large amounts of data. In this paper, we have developed a simulation based on Monte Carlo method which is applied on grid computing in order to predict through complex calculations the future trends in stock prices. © 2012 World Scientific Publishing Company.	en
heal.journalName	International Journal of Modeling, Simulation, and Scientific Computing	en
dc.identifier.doi	10.1142/S1793962312500109	en
dc.identifier.volume	3	en
dc.identifier.issue	3	en