Parallel generation of optimal mortgage refinancing threshold rates

Nan Zhang, Dejun Xie*, Eng Gee Lim, Kaiyu Wan, Ka Lok Man

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

We present our study on the optimal mortgage refinancing problem under a stochastic interest rate environment. Through Monte Carlo simulations we try to identify the optimal time for refinancing such that the overall cost is minimised. Experimental results reveal that such a time is more likely to appear at the early stage of a mortgage contract. Through simulations we also generate time-dependent threshold rates for optimal refinancing. At a particular time, if market interest rate falls below such a threshold refinancing is most likely to be optimal. To accelerate the generation of the threshold rates we developed a multi-threaded program, which demonstrated more than three-time speedups against an efficiently-written sequential program on a quad-core Intel Corei7 2600 in all the test cases.

Original languageEnglish
Title of host publicationGrid and Pervasive Computing - 8th International Conference, GPC 2013 and Colocated Workshops, Proceedings
Pages665-675
Number of pages11
DOIs
Publication statusPublished - 2013
Event8th International Conference on Grid and Pervasive Computing, GPC 2013 - Seoul, Korea, Republic of
Duration: 9 May 201311 May 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7861 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Grid and Pervasive Computing, GPC 2013
Country/TerritoryKorea, Republic of
CitySeoul
Period9/05/1311/05/13

Keywords

  • Monte Carlo simulation
  • Mortgage refinancing
  • Parallel computing
  • Stochastic interest rate model

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