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.
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
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): 395–403.10.1111/coep.12074)| false
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): 155–186.10.1016/j.jeconom.2005.07.014)| false
Molodtsova, T., and D.H. Papell. 2009. “Out-Of-Sample Exchange Rate Predictability with Taylor Rule Fundamentals.” Journal of International Economics 77 (2): 167–180.10.1016/j.jinteco.2008.11.001)| false
Scott, S.L., and H.R. Varian. 2014. “Predicting the Present with Bayesian Structural Time Series.” International Journal of Mathematical Modelling and Numerical Optimisation 5 (1–2): 4–23.10.1504/IJMMNO.2014.059942)| false
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.