Google Trends and Forecasting Performance of Exchange Rate Models

Levent Bulut ()
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Levent Bulut: Department of Economics, Ipek University

No 1505, IPEK Working Papers from Ipek University, Department of Economics

Abstract: In this paper, internet search data provided from Google Trends is utilized to nowcast the known variates of alternative exchange rate determination models. The sample covers 12 OECD countries’ exchange rates for the period from Jan 2004 to June 2014. The results indicate that inclusion of Google Trends-based nowcasting values of macro fundamentals to the current set of government released-macro-economic variables improve the out-of-sample forecast of Purchasing Power Parity model in seven currency pairs and of Monetary model in four currency pairs. In this paper we claim that, for proper testing of the structural models, since there is a lag in the release of official data on macro fundamentals, the literature should focus more on using ex ante variables on current macro fundamentals and nowcasting of these variables with utilization of Google Search Inquiries can be one alternative for this purpose.

Keywords: Meese-Rogoff Puzzle; Out-of-sample predictability of Exchange Rates; Google Trends (search for similar items in EconPapers)
JEL-codes: C52 F31 F37 (search for similar items in EconPapers)
Pages: 25 pages
Date: 2015-08
New Economics Papers: this item is included in nep-for, nep-ifn and nep-mon
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