2018
DOI: 10.14780/muiibd.384149
|View full text |Cite
|
Sign up to set email alerts
|

Makroekonomi̇k Denge İçi̇n Petfol Fi̇yatlari Önemli̇ Mi̇di̇r?

Abstract: ÖzetPetrol fiyatlarında 2014 sonu itibarıyla yaşanan sert düşüşün, birçok ülke ekonomisinin makro dengelerinde oldukça ciddi etkiler oluşturması beklenmektedir. Bu sert düşüşün ülkemiz ekonomisi açısından cari açıkta düşüş ve enflasyon oranında gerileme sağlayacağı beklentisi oluşmaktadır. Ucuz enerji Avrupa bölgesi ekonomileri için de itici güç olarak büyümeye katkı sağlayabilir. Böylece ülkemiz açısından bölgeye olan ihracatımızı artırarak ülkemiz büyümesine de katkı sağlayabileceği düşünülmektedir. Bu çalış… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 15 publications
0
2
0
Order By: Relevance
“…The mean value and variance of nonstationary time series change over time. In general, the financial and economic time series are not stationary, and we take into account the first or second or higher differences to make the time series stationary (Yıldırtan, 2011). We investigate the stationarity of the time series by using the unit root tests.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The mean value and variance of nonstationary time series change over time. In general, the financial and economic time series are not stationary, and we take into account the first or second or higher differences to make the time series stationary (Yıldırtan, 2011). We investigate the stationarity of the time series by using the unit root tests.…”
Section: Methodsmentioning
confidence: 99%
“…Following the determination of stationarity levels of the time series using the ADF, the PP and the KPSS unit root tests, we perform cointegration analyses to test whether the nonstationary time series reach equilibrium in the long term. If the linear relationship between two or more nonstationary time series are stationary, these time series are cointegrated (Yıldırtan, 2011). In this study, a two-step Engle–Granger cointegration test to investigate whether the time series are cointegrated.…”
Section: Methodsmentioning
confidence: 99%