Real Exchange Rates and the Balance of Trade: Does the J-curve Effect Really Hold?

Open Economies Review - In this paper, we re-examine the relationship between trade flows, real effective exchange rates, and incomes by using the bilateral trade flows of 33 countries that form...     

Currency substitution,policy rule and pass-through: evidence from Turkey

In this article we analyse empirically currency substitution and exchange rate pass-through in the Turkish Economy, where their ongoing presence could undermine the implementation of a successful monetary policy, especially in a flexible exchange rate regime. Even though a considerable time has passed after the implementation of a flexible exchange rate regime in Turkey, by using Vector Error Correction model for the period from 1987 to 2004, we find that the currency substitution and exchange rate pass-through still have importance in the Turkish Economy and the monetary policy stance has been considerably strong, possibly, as a response of ongoing presence of them. If this is the case, to avoid the undesired consequences of this strong monetary policy, Turkey should consider some policy measures to reduce the degree of pass-through and currency substitution.     

Analysis of the seeds of the debt crisis in Europe

This paper presents an analysis of the seeds of the recent debt crisis that occurred in the Eurozone area using a variant of Fleming and Stein [2004. “Stochastic Optimal Control, International Finance and Debt.” Journal of Banking and Finance, 28: 979–996] model. This model has two risk drivers arising from uncertainties in the return on capital and the effective rate of return on net foreign assets. Given the risk drivers, we model the net worth value process of an economy under a stochastic setting and show that opening to the rest of the world by pursuing the growth maximizing leverage strategy is better than remaining closed, as that strategy enhances the growth of the net worth process. Second, we provide an extra condition to show when the excessive leverage poses a threat to the sustainable growth of an economy. In this way, we improve the model introduced by Fleming and Stein as a signal of possible debt crises. Finally, we conduct an econometric analysis for the group of countries considered under this study, and show that there is a long-run relationship between the capital stock and the total external debt justifying the use of the structural model we employ.     

Probability Forecasts of Macroaggregates in the Turkish Economy

We provide probability forecasts of key Turkish macroeconomic variables such as inflation and output growth. The probability forecasts are derived from a core vector error correction model of the Turkish economy and its several variants. We use model and window averaging to address uncertainties arising from estimated models and possible structural breaks. The performances of the different models and their combinations are evaluated using relevant forecast accuracy tests in different pseudo out-of-sample settings. The results indicate that successful directional forecasts can be obtained for output growth and inflation. Averaging over both the models and the estimation windows improves the level of accuracy of the forecasts.     

Quantile forecast combination using stochastic dominance

This paper derives optimal forecast combinations based on stochastic dominance efficiency (SDE) analysis with differential forecast weights for different quantiles of forecast error distribution. For the optimal forecast combination, SDE will minimize the cumulative density functions of the levels of loss at different quantiles of the forecast error distribution by combining different time-series model-based forecasts. Using two exchange rate series on weekly data for the Japanese yen/US dollar and US dollar/Great Britain pound, we find that the optimal forecast combinations with SDE weights perform better than different forecast selection and combination methods for the majority of the cases at different quantiles of the error distribution. However, there are also some very few cases where some other forecast selection and combination model performs equally well at some quantiles of the forecast error distribution. Different forecasting period and quadratic loss function are used to obtain optimal forecast combinations, and results are robust to these choices. The out-of-sample performance of the SDE forecast combinations is also better than that of the other forecast selection and combination models we considered.