Modelos de corrección de error no lineal entre mercados accionarios latinoamericanos y el mercado accionario de Estados Unidos
AbstractThe intention of the present work is to evaluate long-run relations in the stock markets of six Latin American countries (Argentina, Brazil, Chile, Colombia, Mexico and Peru) and the United States stock market, by means of a model in which a cointegration relation exists between the principals prices stock indexes but allowing that the movements towards the long-run equilibrium only happen in some periods. For the previous thing threshold autoregressive models are considered. The idea is that the movements towards the long-run equilibrium need not occur every period but in a specific regime. We find that the specification is better in nonlinear than linear models and the cointegration relation only appears in four of the six analyzed Latin American countries
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Bibliographic InfoArticle provided by Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines in its journal Revista de Analisis Economico.
Volume (Year): 21 (2006)
Issue (Month): 1 (July)
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bruce E. Hansen, 1996.
"Sample Splitting and Threshold Estimation,"
Boston College Working Papers in Economics
319., Boston College Department of Economics, revised 12 May 1998.
- Nathan S. Balke & Thomas B. Fomby, 1992.
9209, Federal Reserve Bank of Dallas.
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