A Vector Auto-Regressıve (VAR) Model for the Turkish Financial Markets

In this paper, we develop a vector autoregressive (VAR) model of the Turkish financial markets for the period of June 15 2006 – June 15 2010 and forecasts ISE100 index, TRY/USD exchange rate, and short-term interest rates. The out-of-sample forecast performance of the VAR model is compared with the results from the univariate models. Moreover, the dynamics of the financial markets are analyzed through Granger causality and impulse response analysis.multivariate financial time series; vector auto-regressive (VAR) model; impulse response analysis; Granger causality

A Vector Auto-Regressıve (VAR) Model for the Turkish Financial Markets

In this paper, we develop a vector autoregressive (VAR) model of the Turkish financial markets for the period of June 15 2006 – June 15 2010 and forecasts ISE100 index, TRY/USD exchange rate, and short-term interest rates. The out-of-sample forecast performance of the VAR model is compared with the results from the univariate models. Moreover, the dynamics of the financial markets are analyzed through Granger causality and impulse response analysis

A Vector Auto-Regressıve (VAR) Model for the Turkish Financial Markets

In this paper, we develop a vector autoregressive (VAR) model of the Turkish financial markets for the period of June 15 2006 – June 15 2010 and forecasts ISE100 index, TRY/USD exchange rate, and short-term interest rates. The out-of-sample forecast performance of the VAR model is compared with the results from the univariate models. Moreover, the dynamics of the financial markets are analyzed through Granger causality and impulse response analysis

Atherosclerosis in geriatric patients known to be healthy

Background: The aim of the present study is to determine the presence of atherosclerosis in geriatric patients who are known to be healthy and examine sociodemographic and laboratory parameters affecting the presence of atherosclerosis.Method: 90 healthy volunteers including 66(73.3%) non-geriatric ones and 24(26.7%) geriatric ones were included in the study. It was analyzed whether there was a correlation between the two groups in terms of the parameters of gender, age average, alcohol consumption, smoking, carotid intima-media thickness (CA-IMT), and pulse wave velocity (PWV). Sociodemographic and laboratory parameters of the volunteers with and without atherosclerosis in the geriatric group were examined. Results: Among geriatric volunteers (Group 1), 13(54.2%) were male; whereas, among non-geriatric volunteers (Group 2), 41(62.1%) were male. CA-IMT was determined to be higher in Group 1 (averagely 0.80±0.12 mm) than Group 2 (averagely 0.62±0.14 mm) (p:<0.001). PWV was significantly higher in Group 1 (averagely 10.32±1.44 m/s) than Group 2 (6.26±1.09 m/s) (p:<0.001). After PWV or CA-IMT examination, atherosclerosis findings were determined in 12 healthy geriatric volunteers (50%) in Group 1.Conclusion: It should be remembered that even though atherosclerosis can be frequently observed in geriatric individuals who are known to be healthy, it may also go unnoticed. Determination of atherosclerosis with noninvasive methods will be helpful in preventing complications that might be caused by atherosclerosis.