It is known that periods of high uncertainty in a country have significant effects on economic activities. Therefore, monetary policymakers should consider the degree of uncertainty in the decision-making process. In Turkey, changing the form of government from the parliamentary system to a presidential system in 2018, combined with the global Covid pandemic that started in 2020, caused an extraordinary increase in uncertainty and became one of the main sources of economic problems in the country. This study quantifies the effects of uncertainty on the Turkish economy through an SVAR model estimated with Bayesian techniques. The results show that high uncertainty has a negative and significant effect on economic activities, mainly with the decrease in consumption and investment expenditures. The Central Bank of the Republic of Turkey reacts to these developments with an expansionary monetary policy that injects liquidity into the economy. However, it should not be overlooked that such a policy has limitations due to its long-term negative effects.
The details of a central bank’s monetary policy are based on assumptions about the money demand. This requires researches that aim to investigate money demand dynamics. Knowing these dynamics will support the identification of risks that may pose a threat to price stability in the long run. This study aims to analyze the changes observed in the demand for money during the last 35 years (1986-2020) in Turkey. When the analyzing period is considered as a whole in the study, it is determined that the demand for money is not stable. However, the nonlinear cointegration analysis used within the framework of soft transition models indicates that the money demand model can be divided into two different regimes with stability. In this case, it is possible to talk about the existence of a transition period in which stability is lost in the demand for money. The analyzing technique used allows the coefficients obtained for money demand to change over time according to the regime in which the economy operates. Nonlinear estimation results indicate that there is a long-term relationship between the demand for money and its macroeconomic determinants such as price level, income, interest rate, and money holding preferences of economic agents.
This study analyzes the effects of foreign direct investments (FDI) on the macroeconomic dynamics of the Turkish economy through the Structural Vector Autoregressive (SVAR) model. The results obtained, by the economic theory, reveal the positive effects of FDI on economic growth and domestic investment volume. The results also confirm the assumption of economic theory that domestic and foreign investments are complementary. It is understood that the FDI put some pressure on prices to increase, but it is balanced by the decisions of the monetary authority. While FDI does not play a critical role in reducing unemployment, it significantly contributes to the increase in imports, especially in capital goods.
Interest rate functions as the cornerstone for the heavy majority of the financial models. The high volatility in interest rates in the financial crisis of 2008/09 and resulting increased uncertainty led many researchers to focus on modeling the dynamics of changes in short term interest rates. This study aims to analyze the volatility of short-term interest rate in Turkey in terms of overnight repo rate and to forecast this rate for the next six months by modelling this volatility. For this purpose, the ARCH family models like ARCH, GARCH and EGARCH were preferred to use since they are the most common methods in the literature. Using the weekly frequency data for the period of January 2002 - January 2021, the model that best describes the stochastic volatility in the data was found to be the GARCH (1.1) model. As a result of the fact that the in-sample estimates were found sufficient, the interest rate estimates for the next 6 months were realized.
This study aims to present empirical evidence on the relative importance of supply and demand-side factors in determining the fluctuations in the general level of prices in the Turkish economy. The employed strategy uses the view that supply and demand pressures can be distinguished from each other depending on the direction of their effects on price and quantity. After classifying the related economic variables as supply, demand, and common factors, the main determinants of domestic supply and demand were estimated econometrically using sample data from 2003:1–2021:4, and their relative contribution to inflation was calculated. By using these basic determinants, the estimated structural vector autoregressive (SVAR) model shows that the pressures arising from the supply side are more dominant than the pressures of the demand side on the inflationary process in Turkey. The results indicate that the methodology suggested in this study will be useful in separating the factors that contribute to inflation, which has recently gotten out of control in Turkey and is gradually moving away from the targeted inflation. Policymakers considering these findings can reach optimal decisions in conducting the monetary policy toward the targeted level of inflation.
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