Prague Economic Papers 2016, 25(5):527-546 | DOI: 10.18267/j.pep.581
Exchange Rates Forecasting: Can Jump Models Combined with Macroeconomic Fundamentals Help?
- The Masaryk Institute of Advanced Studies, Czech Technical University in Prague, Prague, Czech Republic (tomas.buncak@cvut.cz).
Connection between macroeconomic variables and foreign exchange (FX) rates evaluated in the context of out-of-sample forecasting is a well-known problem in economics. We propose a method that utilizes stochastic models based on jump processes (namely the normal inverse Gaussian and Meixner models), combines them with macroeconomic fundamentals, and using a moving (rolling or recursive) regularized estimation procedure produces forecasts of FX rates. These are compared to benchmark models, namely the direct forecast and the Gauss model forecast. Empirical out-of-sample experiments are performed on EUR/USD and USD/DKK currencies.
Keywords: cross-validation, out-of-sample testing, macroeconomic fundamentals, jump processes, exchange rates forecasting
JEL classification: C46, C53, F37
Published: January 1, 2016 Show citation
References
- Abramowitz, M., Stegun, I. A. (1972). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. 9th printing. New York: Dover Books.
- Barndorff-Nielsen, O. E. (1997). Normal Inverse Gaussian Distributions and Stochastic Volatility Modelling. Scandinavian Journal of Statistics, 24(1), 1-13. DOI: 10.1111/1467-9469. t01-1-00045. Go to original source...
- Bates, D. S. (1996). Jumps and Stochastic Volatility: Exchange Rate Process Implicit in Deutsche Mark Options. The Review of Financial Studies, 9(1), 69-107. DOI: 10.1093/rfs/9.1.69. Go to original source...
- Božović, M. (2008). The Role of Jumps in Foreign Exchange Rates. Universitat Pompeu Fabra Barcelona Working Paper.
- Bruyn, R. D., Gupta, R., Stander, L. (2013). Testing the Monetary Model for Exchange Rate Determination in South Africa: Evidence from 101 Years of Data. Contemporary Economics, 7(1), 19-32. DOI: 10.5709/ce.1897-9254.71. Go to original source...
- Bunčák, T. (2013). Jump Processes in Exchange Rates Modeling, in Proceedings of the 6th International Scientific Conference for Ph.D. Students and Young Scientists. Silesian University in Opava, 514-540.
- Busch, T., Christensen, B. J., Nielsen, M. Ø. (2005). Forecasting Exchange Rate Volatility in the Presence of Jumps. Queen's Economics Department Working Paper No. 1187. 14 In order to calibrate jump models.
- Clark, T. E., West, K. D. (2006). Using Out-of-Sample Mean Squared Prediction Errors to Test the Martingale Difference Hypothesis. Journal of Econometrics, 135(1-2), 155-186. DOI: 10.1016/j.jeconom.2005.07.014. Go to original source...
- Cont, R., Tankov, P. (2003). Financial Modelling with Jump Processes. London: Chapman & Hall /CRC Press. DOI: 10.1201/9780203485217. Go to original source...
- Engel, C., Mark, N. C., West, K. D. (2007). Exchange Rate Models Are Not as Bad as You Think, in NBER Macroeconomics Annual 2007. 22. National Bureau of Economic Research, Inc., pp. 381-441. DOI: 10.3386/w13318. Go to original source...
- Evans, M. D. D., Lyons, R. K. (2005). Meese-Rogoff Redux: Micro-Based Exchange Rate Forecasting. American Economic Review, 95(2), 405-414. DOI: 10.1257/000282805774669934. Go to original source...
- Jiang, G. J. (1998). Jump-Diffusion Model of Exchange Rate Dynamics: Estimation via Indirect Inference. University of Groningen - Working Paper.
- Kelly, J. L. (1956). A New Interpretation of Information Rate. Bell System Technical Journal, 35(4), 917-926. DOI: 10.1002/j.1538-7305.1956.tb03809.x. Go to original source...
- Li, J., Tsiakas, I., Wang, W. (2015). Predicting Exchange Rates Out of Sample: Can Economic Fundamentals Beat the Random Walk? Journal of Financial Econometrics, 13(2), 293-341. DOI: 10.1093/jjfinec/nbu007. Go to original source...
- Maheu, J. M., McCurdy, T. H. (2008). Modeling Foreign Exchange Rates with Jumps, in Rapach, D. E., Wohar, M. E., eds., Forecasting in the Presence of Structural Breaks and Model Uncertainty. Emerald Group, pp. 449-475. DOI: 10.1016/s1574-8715(07)00212-6. Go to original source...
- Meese, R. A., Rogoff, K. (1983). Empirical Exchange Rate Models of the Seventies: Do They Fit Out of Sample? Journal of International Economics, 14, pp. 3-24. DOI: 10.1016/0022-1996(83)90017-x. Go to original source...
- Nekhili, R., Altay-Salih, A., Gençay, R. (2002). Exploring Exchange Rate Returns at Different Time Horizons. Physica A, 313, pp. 671-682. DOI: 10.1016/s0378-4371(02)00986-x. Go to original source...
- Nirei, M., Sushko, V. (2011). Jumps in Foreign Exchange Rates and Stochastic Unwinding of Carry Trades. International Review of Economics & Finance, 20(1), 110-127. DOI: 10.1016/j.iref.2010.07.010. Go to original source...
- Rossi, B. (2013). Exchange Rate Predictability. Journal of Economic Literature, 51(4), 1063-1119. DOI: 10.1257/jel.51.4.1063. Go to original source...
- Schoutens, W., Teugels, J. L. (1998). Lévy Processes, Polynomials and Martingales. Communications in Statistics - Stochastic Models, 14, pp. 335-349. DOI: 10.1080/15326349808807475. Go to original source...
- Stock, J. H., Watson, M. W. (1999). Forecasting Inflation. Journal of Monetary Economics, 44(2), 293-335. DOI: 10.1016/s0304-3932(99)00027-6. Go to original source...
- Zou, H., Hastie, T. (2005). Regularization and Variable Selection via the Elastic Net. Journal of the Royal Statistical Society, Series B, 67(2), 301-320. DOI: 10.1111/j.1467-9868.2005.00503.x. Go to original source...
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