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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.

This paper estimates Egypt's equilibrium real exchange rate and exchange rate misalignment based on economic fundamentals over the period 2001Q3–2017Q3. Focusing on the more recent period, we find that the Egyptian pound was undervalued by about 22.3% in 2017Q1 due to overshooting its equilibrium value after floating the currency in 2016Q4. The currency undervaluation then declined to 18.5% in 2017Q3 driven by an increase in the real effective exchange rate due to a surge in domestic inflation. With regard to the determinants of the equilibrium real exchange rate, we find the productivity differential (vis-à-vis Egypt's trade partners) and trade openness to be the most significant factors. We also provide projections for the equilibrium real exchange rate and exchange rate misalignment until 2020Q4, which reveal that the exchange rate undervaluation will be dissipating fast due to high inflation. If the nominal exchange rate stabilizes at its level in 2017Q3 (17.73 pounds per US dollar), the currency will be overvalued by 13.1% in 2020Q4. Given the uncertainty surrounding the projections, a forecast combination approach is also presented. Finally, the paper highlights the implications of the empirical findings for the conduct of monetary policy in Egypt.

This paper examines a classification system for grouping the Arab countries together based on characteristics most relevant to sustainable development goals (SDGs). It analyzes SDGs in Arab countries with cluster analysis, identifies the most appropriate decomposition of the region for each of the SDGs separately and describes the characteristics of the unique SDG performance groups. The results show that countries move often from a better to a worse group or vice versa, implying that different and SDG-specific subregional groups should be used for work on each individual SDG. Examining the overlap of cluster memberships by countries through a network perspective further identifies the most tightly knit country groups. The implications of findings are relevant for informative monitoring of SDGs on the subregional level, as well as policy recommendation sharing for and between similar countries, and enhancing peer learning capacity.

This paper presents an empirical investigation of the uncovered interest parity (UIP) between the Turkish Lira (TRY)/US Dollar (USD) and Turkish Lira/Euro (EUR). Our results do not provide evidence supporting the UIP hypothesis for either case. Moreover, the estimates imply causality from the TRY/USD exchange rate return to the interest rate differential. Accordingly, the Turkish Central Bank (CBRT) may respond by increasing the domestic interest rate to a depreciation of the TRY against the USD . By taking this type of action, it can be concluded that the CBRT tried to control capital movements. This result supports (McCallum, Bennett T. 1994. “A Reconsideration of the Uncovered Interest Parity Relationship.” Journal of Monetary Economics 33 (1): 105–132.)’s argument, which advances the behavior of the monetary policy as a reason for the failure of the UIP condition.