Exchange rates, and fundamental variables: a semi-parametric analysis of binary choice
This 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.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 37 (2005)
Issue (Month): 16 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/RAEC20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/RAEC20|
References listed on IDEAS
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.:
- 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 S. 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.).
- Richard Meese & Kenneth Rogoff & Jacob Frenkel, "undated". "The Out-of-Sample Failure of Empirical Exchange Rate Models: Sampling Error or Misspecification?," Working Paper 32044, Harvard University OpenScholar.
- Lutz Kilian & Mark P. Taylor, 2001.
"Why Is It So Difficult to Beat the Random Walk Forecast of Exchange Rates?,"
464, Research Seminar in International Economics, University of Michigan.
- 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?," 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.
- 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.
- 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 & Francis Journals, vol. 12(8), pages 589-600.
- 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.
- 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.
- Peter Kugler & Carlos Lenz, 1990. "Chaos, Arch and the Foreign Exchange Market: Empirical Results from Weekly Data," Diskussionsschriften dp9005, Universitaet Bern, Departement Volkswirtschaft.
- Meese, Richard A & Rose, Andrew K, 1990. "Nonlinear, Nonparametric, Nonessential Exchange Rate Estimation," American Economic Review, American Economic Association, vol. 80(2), pages 192-196, May.
- 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.
- 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.).
- 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," International Finance Discussion Papers 301, Board of Governors of the Federal Reserve System (U.S.).
When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:37:y:2005:i:16:p:1915-1924. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.