In this paper, we use Google Trends data to proxy macro fundamentals that are related to two conventional structural determination of exchange rate models: purchasing power parity model and the monetary exchange rate determination model. We assess forecasting performance of Google Trends based models against random walk null on Turkish Lira–US Dollar exchange rate for the period of January 2004 to August 2015. We offer a three-step methodology for query selection for macro fundamentals in Turkey and the US. In out-of-sample forecasting, results show better performance against no-change random walk predictions for specifications both when we use Google Trends data as the only exchange rate predictor or augment it with exchange rate fundamentals. We also find that Google Trends data has limited predictive power when used in year-on-year growth rate format.
Algan, N., and S. Gencer. 2011. “Türkiye’de para talebi fonksiyonunun modellenmesi.” Ç.Ü. Sosyal Bilimler Enstitüsü Dergisi 20 (1): 195–212.
Altıntas, H. 2008. “Türkiye’de para talebinin istikrarı ve sınır testi yaklasımıyla öngörülmesi: 1985-2006.” Erciyes Üniversitesi İİBF Dergisi 30: 15–46.
Askitas, N., and K. F. Zimmermann. 2009. “Google Econometrics and Unemployment Forecasting.” Applied Economics Quarterly 55 (2): 107–120.
Bacchetta, Philippe, Eric Van Wincoop, and Toni Beutler. 2010. “Can Parameter Instability Explain the Meese-Rogoff Puzzle?.” In NBER International Seminar on Macroeconomics 2009, 125–173. University of Chicago Press.
Bulut, Levent. 2018. “Google Trends and the Forecasting Performance of Exchange Rate Models.” Journal of Forecasting, 37:303–315. https://doi.org/10.1002/for.2500
Chadwick, M.G., and G. Şengül. 2015. “Nowcasting the Unemployment Rate in Turkey: Let's Ask Google.” Central Bank Review 1: 1.
Chen, T., E.P.K. So, L. Wu, and I.K.M. Yan. 2015. “The 2007–2008 US Recession: What Did the Real-Time Google Trends Data Tell the United States?.” Contemporary Economic Policy 33 (2): 395–403.
Choi, H., and H. Varian. 2009. “Predicting Initial Claims for Unemployment Benefits.” Google Incorporating (2009): 1–5.
Choi, H., and H. Varian. 2012. “Predicting the Present with Google Trends.” Economic Record 88 (s1): 2–9.
Civcir, Irfan 2003. “The Monetary Model of the Exchange Rate under High Inflation – The Case of the Turkish Lira/US Dollar.” Czech Journal of Economics and Finance (Finance a Uver) 53 (3–4): 113–129.
Clark, T.E., and K.D. West. 2006. “Using Out-Of-Sample Mean Squared Prediction Errors to Test the Martingale Difference Hypothesis.” Journal of Econometrics 135 (1): 155–186.
Clark, T.E., and K.D. West. 2007. “Approximately Normal Tests for Equal Predictive Accuracy in Nested Models.” Journal of Econometrics 138 (1): 291–311.
Diebold, F.X., and R.S. Mariano. 1995. “Comparing Predictive Accuracy.” Journal of Business & Economic Statistics 13: 253–263.
Diebold, F.X., and J.A. Nason. 1990. “Nonparametric Exchange Rate Prediction?.” Journal of International Economics 28 (3–4): 315–3.
Engel, C., N.C. Mark, and K.D. West. 2007. “Exchange Rate Models are Not as Bad as You Think (No. W13318).” National Bureau of Economic Research 22: 381–441.
Faust, J., J.H. Rogers, and J.H. Wright. 2003. “Exchange Rate Forecasting: The Errors We've Really Made.” Journal of International Economics 60 (1): 35–59.
Gourinchas, P.O., and H. Rey. 2007. “International Financial Adjustment.” Journal of Political Economy 115 (4): 665–703.
Hoffman, D. L., and R. H. Rasche. 1991. “Long-Run Income and Interest Elasticities of Money Demand in the United States.” The Review of Economics and Statistics 73 (4): 665–674.
Koop, G., and L. Onorante. 2013. “Macroeconomic Nowcasting Using Google Probabilities.” University of Strathclyde.
Mark, N.C. 1995 . “Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability.” The American Economic Review 85 (1): 201– 218.
Meese, R.A., and K. Rogoff. 1983. “Empirical Exchange Rate Models of the Seventies: Do They Fit Out of Sample?.” Journal of International Economics 14 (1): 3–24.
Meese, R.A., and A.K. Rose. 1991. “An Empirical Assessment of Non-Linearities in Models of Exchange Rate Determination.” The Review of Economic Studies 58 (3): 603–619.
The Review of Middle East Economics and Finance (RMEEF) addresses applied original research in the fields of economics and finance pertaining to the MENA region (Middle East and North Africa), including Turkey and Iran. The journal also publishes articles that deal with the economies of neighboring countries and/or the relationship and interactions between those economies and the MENA region.