Abstract
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.
Funding statement: This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK), Grant Number: 115C089
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Artikel in diesem Heft
- Google Trends and Structural Exchange Rate Models for Turkish Lira–US Dollar Exchange Rate
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Artikel in diesem Heft
- Google Trends and Structural Exchange Rate Models for Turkish Lira–US Dollar Exchange Rate
- Much Ado about the Egyptian Pound: Exchange Rate Misalignment and the Path Towards Equilibrium
- SDG-Specific Country Groups: Subregional Analysis of the Arab Region
- Uncovered Interest Rate Parity: The Turkish Evidence