Return to search

Statistical Properties and Problems on Modeling the Bolivian Foreign Exchange Market

The Bolivian foreign exchange market is explained in terms of the official and parallel exchange rates. The data covers the post hyper inflationary period from 1986 to 1992. The distribution of the rate of depreciation of the official and parallel exchange rates is long tailed and strongly departs from normality due to the existence of outliers. A market interactions model of the autoregressive kind is estimated using robust regression. This procedure produces M-parameter estimates using iteratively reweighted least squares. The robust method handles well the outlier problem and at the same time it reveals the true nature of the statistical properties of the data by not being able to produce white noise in the squared residuals. Both markets show a one-time break in the variance creating two periods of differential behavior, with one of them having GARCH properties. Robust unit root and cointegration tests also fail to produce white noise squared residuals due to the same phenomena. Further research requires the development of a robust procedure that could take care of the outlier and heteroskedasticity problems simultaneously.

Identiferoai:union.ndltd.org:UTAHS/oai:digitalcommons.usu.edu:etd-4775
Date01 May 1994
CreatorsBarja, Gover
PublisherDigitalCommons@USU
Source SetsUtah State University
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceAll Graduate Theses and Dissertations
RightsCopyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact Andrew Wesolek (andrew.wesolek@usu.edu).

Page generated in 0.0251 seconds