We present a study on combining the forecasts from a time-series model and an econometric model in the context of the inflation rates of Turkey and propose a new weighting scheme, the time-varying simple weighting method. Our guiding principle for the deduction of this method is based on...

This paper analyses inflation forecasting power of artificial neural networks with alternative univariate time series models for Turkey. The forecasting accuracy of the models is compared in terms of both static and dynamic forecasts for the period between 1982:1 and 2009:12. We find that at...

The aim of this paper is to investigate the performance of Phillips curve to forecast inflation in a high inflation emerging market country by taking Turkey as a case. For this purpose we compare the forecasting performance of Phillips curve with alternative time series models namely univariate...

This study analyzes oil price exposure of the oil-gas sector stock returns for the fragile five countries based on a multi-factor asset pricing model using daily data from 29 May 1996 to 27 January 2020. The endogenous structural break test suggests the presence of serious parameter...

The purpose of this study is to investigate the impacts of crude oil price variations on the Turkish stock market returns. We have employed vector autoregression (VAR) model using daily observations of Brent crude oil prices and Istanbul Stock Exchange National Index (ISE-100) returns for the...

Real gross domestic product (GDP) data in Turkey are released with a very long delay compared with other economies, between 10 and 13 weeks after the end of the reference quarter. To infer the current state of the economy, policy makers, media, and market practitioners examine data that are more...

The English version of this paper can be found at: "http://ssrn.com/abstract=2227747" http://ssrn.com/abstract=2227747Çalışma, temel GARCH modelinin Destek Vektör Makinesi ve Yapay Sinir Ağları ile iyileştirilmiş modellerin incelenerek GARCH modelinin tahmin performansının...

This paper analyzes the accuracy of budget forecasts in Turkey. Data is based on 23 years' forecasted and materialized general budget revenues and outlays, from 1981 to 2003. One sample statistics, tabulated, and one sample t tests are applied to find out the accuracy of forecasting and the...

Two different models are developed to forecast the total tourist arrivals to Turkey using monthly data for the period 2002-2013. The results of the study show that two models provide accurate predictions but the seasonal autoregressive integrated moving average model produces more accurate...