Journals / Turkish Studies - Economics, Finance, Politics / 2021 / Cilt: 16 - Sayı: 4

The Relationship Between Financial and Economic Indicators in Developed and Developing Countries: An Example of Heterogeneous Panel Causality Analysis

Pages
1261–1276
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results of the study are expected to be beneficial to policy makers and international investors.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:There are many factors that indicate the level of development of a country.
📊
Key Findings & Data:The main factors are economic and financial factors such as economic growth, inflation, CDS (Credit Default Swap) premiums, exchange rate and portfolio investments in the country.
💡
Conclusion & Impact:The results of the study are expected to be beneficial to policy makers and international investors.
🔬Design:Research Article
📍Scope:2009 Verileri
⚙️Variables:Domain Parameters

Özet

There are many factors that indicate the level of development of a country. The main factors are economic and financial factors such as economic growth, inflation, CDS (Credit Default Swap) premiums, exchange rate and portfolio investments in the country. These factors are influential in the investment decisions of foreign investors as well as the determinant of economic policies. Therefore, it is important to examine the cause-effect relationships between economic and financial indicators and to determine whether these relationships differ in terms of developed and developing countries. The purpose of this study is to investigate the causality relationship between financial and economic indicators such as CDS (Credit Default Swap) premiums portfolio investments, inflation, exchange rate and economic growth rate in the context of developed and developing countries. In this context, heterogeneous panel causality anaylsis was carried out with data from a total of eighteen developed and developing countries between the periods 2009:1-2019:3. The findings obtained reveal similar and different aspects of the causality relationships between financial and economic indicators in developed and developing countries. Exchange rate, inflation and CDS premiums were determined as the reason for portfolio investments for both country groups. In addition, it was observed that the main difference between developed and developing countries was in the growth rate variable. While the growth rate variable is the cause of the portfolio and exchange rate variable in developing countries, this relationship was not found in developed countries. Furthermore a one-way causality relationship was found between inflation and growth rate in developing countries. The results of the study are expected to be beneficial to policy makers and international investors.

🔖

Cite This Article

SUYADAL, M., YAVUZ, M. S., ÇİLİNGİRTÜRK, A. M. (2021). The Relationship Between Financial and Economic Indicators in Developed and Developing Countries: An Example of Heterogeneous Panel Causality Analysis. Turkish Studies - Economics, Finance, Politics, Cilt: 16 - Sayı: 4, 1261–1276. https://ajindex.com/articles/401414

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (10)

  1. Akın, T. & Işıklı, E. (2020). The relationship between credit default swap, economic growth and current account deficit: A case of Turkey. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 8(İktisadi ve İdari Bilimler Özel Sayı), 91-98. https://doi.org/10.18506/anemon.616029.
  2. Altınbaş, H. Kutay, N. & Akkaya, C. (2015). Makroekonomik faktörlerin hisse senedi piyasalari üzerindeki etkisi: Borsa İstanbul üzerine bir uygulama. Ekonomi ve Yönetim Araştırmaları Dergisi, 4(2): 30-49.
  3. Andriansyah, A. & Messinis, G. (2019). Stock prices, exchange rates and portfolio equity flows: a Toda-Yamamoto panel causality test. Journal of Economic Studies, 46(2): 399-421. https://doi.org/10.1108/JES-12-2017-0361
  4. Bai, J. & Ng, S. (2004). A panic attack on unit roots and cointegration. Econometrica, 72(4): 1127- 1177. https://doi.org/10.1111/j.1468-0262.2004.00528.
  5. Benli, M. (2019). Yabancı portföy yatırımı-iktisadi büyüme ilişkisi: Yönlendirilmiş döngüsüz graflar analizi. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, (53): 59- 72. https://doi.org/10.18070/erciyesiibd.459337.
  6. Breitung, J. (2000). The local power of some unit root tests for panel data. In Advances In Econometrics. Vol. 15: Nonstationarity Panels, and Dynamic Panels, Baltagi, B.H. (ed.): 161-177, JAI Press. https://doi.org/10.1016/S0731-9053(00)15006-6
  7. Breusch, T.S. & Pagan, A.R. (1980). The Lagrange Multiplier test and its applications to model specification tests in econometrics. Review of Economic Studies, Oxford University Press, vol. 47(1): 239-253. https://doi.org/10.2307/2297111
  8. Charef, F. & Ayachi, F. (2018). Non-linear causality between exchange rates, inflation, interest rate differential and terms of trade in Tunisia. African Journal of Economic and Management Studies. Emerald Group Publishing, vol. 9(3): 274-289. https://doi.org/10.1108/AJEMS-02- 2017-0034
  9. Çağlar Bektaş, N. & Babuşcu, Ş. (2019). VIX korku endeksi ve cds primlerinin büyüme ve döviz kuruna etkisi, Türkiye örneği. Ufuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 8 (16): 97-111.
  10. Danacı, M. Şit, M. & Şit, A. (2017). Kredi Temerrüt Swaplarının (CDS’lerin) büyüme oranıyla ilişkilendirilmesi: Türkiye Örneği. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9 (2): 67-78. de Vita, G. & Kyaw, K. S. (2009). Growth effects of fdi and portfolio investment flows to developing countries: A disaggregated analysis by income levels. Applied economics letters, 16(3): 277-283. https://doi.org/10.1080/13