scholarly journals Detection of Causal Relationship among Apricot Production, Dollar Exchange Rate and Gold Prices Using Co-integration Analysis and VECM: The Case of Turkey

2016 ◽  
Vol 5 (7) ◽  
pp. 2056-2059
2020 ◽  
Author(s):  
Ishfaque Ahmed Soomro ◽  
Suresh Kumar Oad Rajput ◽  
Najma Ali

2006 ◽  
Author(s):  
Francisco J. Ledesma Rodríguez ◽  
Manuel Navarro Ibáñez ◽  
Jorge Pérez Rodríguez ◽  
Simón Javier Sosvilla Rivero

2008 ◽  
Vol 30 (6) ◽  
pp. 973-991 ◽  
Author(s):  
Yue-Jun Zhang ◽  
Ying Fan ◽  
Hsien-Tang Tsai ◽  
Yi-Ming Wei

2015 ◽  
Vol 7 (4) ◽  
pp. 301-326 ◽  
Author(s):  
Chandan Sharma ◽  
Rajat Setia

Purpose – This paper aims to examine the relationship between Indian rupee-US dollar exchange rate and the macroeconomic fundamentals for the post-economic reform period. Design/methodology/approach – The authors have used an empirical model which includes a range of important macroeconomic variables based on the basic monetary theories of exchange rate determination. At the first stage of the analysis, they have tested structural break in the data. Subsequently, they have employed the fully modified ordinary least square, Wald’s coefficient restriction and impulse response functions (IRF) to estimate the monetary model in the long- and short-run horizons. Findings – Results of analyses indicate that the macroeconomic fundamentals determine exchange rate in a significant way, but their effect varies sizably across the periods. The IRF illustrate the importance of interest rate in controlling exchange rate volatility. Practical implications – The analysis of the behavior of inter-relationship among macroeconomic variables will help policymakers in a deep-rooted understanding of this complex and time-varying relationship. Originality/value – Most of the existing studies have tested the impact of a single or a few macroeconomic fundamentals on exchange rate. But in the present study, we have tested the impact of a range of important variables, i.e. money supply, real income or output, price level and trade balance. Further, considering the importance of structural breaks in data, they authors have employed standard tests of structural break and incorporated the issue in the cointegration analysis.


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