Exchange rates, and fundamental variables: a semi-parametric analysis of binary choice
AbstractThis study is motivated by the dearth of models that provide good out-of-sample fit for exchange rates. That is, current models of exchange rate behaviour are poor predictors of subsequent currency movements. An attempt is made to determine if the relationship between exchange rates and fundamental variables can help explain the more extreme exchange rate movements (distributional switches). Models are developed that relate fundamental economic variables to the resulting estimates based on the mixture of normal probability distributions. Parametric estimation procedures (Logit and Probit) are compared with a semi-parametric technique, maximum score estimation (MSCORE), which is relatively untested in the field of finance. The fundamental variables of these models include information on trade balances, money supply changes, interest rate changes, real economic growth, relative inflation rates and changes in stock market indexes. Classification results favour MSCORE. Implications of results and improvements in methodology are discussed.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics.
Volume (Year): 37 (2005)
Issue (Month): 16 ()
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- Kilian, Lutz & Taylor, Mark P, 2001.
"Why is it so Difficult to Beat the Random Walk Forecast of Exchange Rates?,"
CEPR Discussion Papers
3024, C.E.P.R. Discussion Papers.
- Kilian, Lutz & Taylor, Mark P., 2003. "Why is it so difficult to beat the random walk forecast of exchange rates?," Journal of International Economics, Elsevier, vol. 60(1), pages 85-107, May.
- Lutz Kilian & Mark P. Taylor, 2001. "Why Is It So Difficult to Beat the Random Walk Forecast of Exchange Rates?," Working Papers 464, Research Seminar in International Economics, University of Michigan.
- Lutz Kilian & Mark P. Taylor, 2001. "Why is it so difficult to beat the Random Walk Forecast of Exchange Rates?," Tinbergen Institute Discussion Papers 01-031/4, Tinbergen Institute.
- Kilian, Lutz & Taylor, Mark P., 2001. "Why is it so difficult to beat the random walk forecast of exchange rates?," Working Paper Series 0088, European Central Bank.
- Meese, Richard A & Rose, Andrew K, 1990. "Nonlinear, Nonparametric, Nonessential Exchange Rate Estimation," American Economic Review, American Economic Association, vol. 80(2), pages 192-96, May.
- Peter Kugler & Carlos Lenz, 1990. "Chaos, Arch and the Foreign Exchange Market: Empirical Results from Weekly Data," Diskussionsschriften dp9005, Universitaet Bern, Departement Volkswirtschaft.
- Gandolfo, Giancarlo & Padoan, Pietro Carlo & Paladino, Giovanna, 1990. "Exchange rate determination: Single-equation or economy-wide models? : A test against the random walk," Journal of Banking & Finance, Elsevier, vol. 14(5), pages 965-992, November.
- McCurdy, Thomas H & Morgan, Ieuan G, 1988. "Testing the Martingale Hypothesis in Deutsche Mark Futures with Models Specifying the Form of Heteroscedasticity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 3(3), pages 187-202, July-Sept.
- Manski, Charles F., 1975. "Maximum score estimation of the stochastic utility model of choice," Journal of Econometrics, Elsevier, vol. 3(3), pages 205-228, August.
- Richard H. Clarida & Mark P. Taylor, 1997. "The Term Structure Of Forward Exchange Premiums And The Forecastability Of Spot Exchange Rates: Correcting The Errors," The Review of Economics and Statistics, MIT Press, vol. 79(3), pages 353-361, August.
- Garry J. Schinasi & P.A.V.B. Swamy, 1987.
"The out-of-sample forecasting performance of exchange rate models when coefficients are allowed to change,"
International Finance Discussion Papers
301, Board of Governors of the Federal Reserve System (U.S.).
- Schinasi, Garry J. & Swamy, P. A. V. B., 1989. "The out-of-sample forecasting performance of exchange rate models when coefficients are allowed to change," Journal of International Money and Finance, Elsevier, vol. 8(3), pages 375-390, September.
- Garry J. Schinasi & P.A.V.B. Swamy, 1987. "The out-of-sample forecasting performance of exchange rate models when coefficients are allowed to change," Special Studies Papers 212, Board of Governors of the Federal Reserve System (U.S.).
- Michel Beine & Sébastien Laurent & Christelle Lecourt, 2002.
"Accounting for conditional leptokurtosis and closing days effects in FIGARCH models of daily exchange rates,"
ULB Institutional Repository
2013/10443, ULB -- Universite Libre de Bruxelles.
- Michel Beine & Sebastien Laurent & Christelle Lecourt, 2002. "Accounting for conditional leptokurtosis and closing days effects in FIGARCH models of daily exchange rates," Applied Financial Economics, Taylor and Francis Journals, vol. 12(8), pages 589-600.
- Richard Meese & Kenneth Rogoff, 1983.
"The Out-of-Sample Failure of Empirical Exchange Rate Models: Sampling Error or Misspecification?,"
in: Exchange Rates and International Macroeconomics, pages 67-112
National Bureau of Economic Research, Inc.
- Richard Meese & Kenneth Rogoff, 1982. "The out-of-sample failure of empirical exchange rate models: sampling error or misspecification?," International Finance Discussion Papers 204, Board of Governors of the Federal Reserve System (U.S.).
- Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
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