Exchange-Rates Forecasting: Exponential Smoothing Techniques And Arima Models
The exchange rate reflects the ratio at which one currency can be exchanged with another currency, namely the ratio of currency prices. The relevant literature implies, by the purchasing power parity theory, that in the long-run exchange rates converge to an equilibrium level. The question that arises is related to the behavior in the short-term of the exchange rates, and how these fluctuations might affect the financial market players, the investors as well as those directly influenced by changes in the exchange rate In this study we want to highlight the methods for exchange rate forecasting, using the exchange rates of Romanian Leu versus the most important currencies in terms of international trade, namely the Euro, United States Dollar, British Pound, Japanese Yen, Chinese Renminbi and the Russian Ruble. The relevant literature on currency forecasting issues includes a wide range of methods, the majority concentrating on models that are based on the random walk hypothesis in forecasting exchange rates, respectively those based on macroeconomic indicators. (Chinn and Meese:1995), (Mark:1995) (Hwang: 2001) consider the last ones more efficient, while (Meese and Rogof: 1983), (Goldberg and Frydman: 1996) indicate that the models based on the random walk hypothesis are superior. Others, like (Marsh and Power:1996), (Kilian and Taylor: 2001), (Zhang, Simoff and Debenham: 2006) use hybrid models. In the literature both types of models are used, but in the long-term the models based on macroeconomic indicators outperform those based on random walk, while in the short-term a more efficient predictability is achieved by the models based on random walk. To forecast the exchange rates the single exponential smoothing technique, double exponential smoothing technique, Holt -Winters simple exponential smoothing technique, Holt -Winters multiplicative exponential smoothing technique, Holt -Winters additive exponential smoothing technique namely the the autoregressive integrated moving average models were used. The forecasting results were measured by the indicators: Sum of squared errors, Root mean squared error, Mean absolute error, Bias Proportion, Variance Proportion, Covariance Proportion and the Theil Inequality Coefficient. All the results indicate the apreciation of the Romanian Leu against the other currencies. In the case of the first five forecast techniques the results are similar, from the point of view of the forecast coefficients, which points out that the optimal models were found. The exponential smoothing techniques in some cases outperform the ARIMA models, because of the speed eith which they addapt to the smallest changes to the market conditions. In addition, the ARIMA models present some difficulties in estimating and validating the model, are more effective in rendering the medium-term trend, in our case 4 months. So these models show the changes in trend, while the forecasting models based on exponential smoothing techniques are an effective tool for those interested in the evolution of the exchange rate. This work was possible with the financial support of the Sectoral Operational Programme for Human Resources Development 2007-2013, co-financed by the European Social Fund, under the project number POSDRU/107/1.5/S/77946 with the title "Doctorate: an Attractive Research Career ".
Volume (Year): 1 (2011)
Issue (Month): 1 (July)
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- MacDonald, Ronald & Menkhoff, Lukas & Rebitzky, Rafael R., 2009.
"Exchange rate forecasters’ performance: evidence of skill?,"
SIRE Discussion Papers
2009-10, Scottish Institute for Research in Economics (SIRE).
- Ronald MacDonald & Lukas Menkhoff & Rafael R. Rebitzky, 2009. "Exchange Rate Forecasters' Performance: Evidence of Skill?," CESifo Working Paper Series 2615, CESifo Group Munich.
- Ronald MacDonald & Lukas Menkhoff & Rafael R. Rebitzky, 2009. "Exchange rate forecasters’ performance: evidence of skill?," Working Papers 2009_13, Business School - Economics, University of Glasgow.
- 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.
- 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.
- 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.
- 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.
- Marsh, Ian W. & Power, David M., 1996. "A note on the performance of foreign exchange forecasters in a portfolio framework," Journal of Banking & Finance, Elsevier, vol. 20(3), pages 605-613, April.
- Lukas Menkhoff & Mark P. Taylor, 2007. "The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis," Journal of Economic Literature, American Economic Association, vol. 45(4), pages 936-972, December.
- Menkhoff, Lukas & Taylor, Mark P., 2006. "The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis," Hannover Economic Papers (HEP) dp-352, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Menkhoff, Lukas & Taylor, Mark P., 2006. "The Obstinate Passion of Foreign Exchange Professionals : Technical Analysis," The Warwick Economics Research Paper Series (TWERPS) 769, University of Warwick, Department of Economics.
- López Villavicencio, Antonia, 2008. "Nonlinearities or outliers in real exchange rates?," Economic Modelling, Elsevier, vol. 25(4), pages 714-730, July.
- Hans-Ulrich Derlien & B. Guy Peters, 2008. "Introduction," Chapters,in: The State at Work, Volume 2, chapter 1 Edward Elgar Publishing.
- Andreou, Andreas S & Georgopoulos, Efstratios F & Likothanassis, Spiridon D, 2002. "Exchange-Rates Forecasting: A Hybrid Algorithm Based on Genetically Optimized Adaptive Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 20(3), pages 191-210, December.
- Annika Alexius & Jonny Nilsson, 2000. "Real Exchange Rates and Fundamentals: Evidence from 15 OECD Countries," Open Economies Review, Springer, vol. 11(4), pages 383-397, October.
- Elias G. Carayannis & Aris Kaloudis & åge Mariussen, 2008. "Introduction," Chapters,in: Diversity in the Knowledge Economy and Society, chapter 1 Edward Elgar Publishing.
- Richard Arena, 2002. "Introduction," Revue d'économie politique, Dalloz, vol. 112(5), pages 627-633.
- Chinn, Menzie D. & Meese, Richard A., 1995. "Banking on currency forecasts: How predictable is change in money?," Journal of International Economics, Elsevier, vol. 38(1-2), pages 161-178, February.
- Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, vol. 85(1), pages 201-218, March.
- Ian Marsh, 1999. "An Analysis of the Performance of European Foreign Exchange Forecasters," Working Papers wp99-07, Warwick Business School, Finance Group. Full references (including those not matched with items on IDEAS)
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