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Modeling time series of return-based rankings of currencies
(m32528)
Author:
Joseph Egbulefu
Keywords:
currency
,
ordinal
,
ranking
,
time series
Summary:
This report summarizes work done as part of the Computational Finance: Ordinal Time Series PFUG under Rice University's VIGRE program. VIGRE is a program of Vertically Integrated Grants for Research and Education in the Mathematical Sciences under the direction of the National Science Foundation. A PFUG is a group ... estimated probabilities.
[Expand Summary]
This report summarizes work done as part of the Computational Finance: Ordinal Time Series PFUG under Rice University's VIGRE program. VIGRE is a program of Vertically Integrated Grants for Research and Education in the Mathematical Sciences under the direction of the National Science Foundation. A PFUG is a group of Postdocs, Faculty, Undergraduates and Graduate students formed round the study of a common problem. In this module the author presents an ordinal time series model for return based weekly rankings of a set of currency instruments. A logistic proportional odds model is used to model periodic and non periodic transition probability functions for each currency. The models are evaluated by examining one step predictions based on estimated probabilities.
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
36.73%
Revised:
2009-10-20
Revisions:
New
Popularity is measured as percentile rank of page views/day over all time
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