Journals / İktisadi İdari ve Siyasal Araştırmalar Dergisi / 2020 / Cilt: 5 - Sayı: 12

STRUCTURAL VAR MODEL ANALYSIS OF THE IMPACT OF MONETARY POLICY DECISIONS ON BIST100

PARA POLİTİKASI KARARLARININ BIST100’E ETKİSİNİN YAPISAL VAR MODELİ İLE ANALİZİ

Pages
141–155
Publication Date
2022-10-19
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)

Empirical findings from the analysis the conclusion reached that the effects of exchange rate, money supply (M2 and M3), inflation and interest rate on BIST100 were negative in both applied models, but the effects of GDP and S&P were differed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study aims to investigate the long-term impact of monetary policy decisions of the Central Bank of Republic of Turkey and monetary variables on Borsa Istanbul.
📊
Key Findings & Data:The analysis covers the periods 2005Q04 and 2019Q03.
💡
Conclusion & Impact:Empirical findings from the analysis the conclusion reached that the effects of exchange rate, money supply (M2 and M3), inflation and interest rate on BIST100 were negative in both applied models, but the effects of GDP and S&P were differed.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Merkez Bankası · Para Politikası · BIST100

Abstract

This study aims to investigate the long-term impact of monetary policy decisions of the Central Bank of Republic of Turkey and monetary variables on Borsa Istanbul. To achieve this goal HP (Hodrick–Prescott) and long run (F matrix) of the Structured VAR (SVAR) model has been used in the study. The analysis covers the periods 2005Q04 and 2019Q03. In order to measure the impact of monetary policy of the Central Bank of the Republic of Turkey and monetary variables on BIST100, two models were applied which included the money supply of M2 and M3. The variables used in the study were M2, M3 money supply, inflation and short-term interest rate, exchange rate, S&P500 and GDP values. The Long Run Structural VAR model was used to see how the sudden shocks given to the variables - included in the analysis - would affect Borsa Istanbul. Empirical findings from the analysis the conclusion reached that the effects of exchange rate, money supply (M2 and M3), inflation and interest rate on BIST100 were negative in both applied models, but the effects of GDP and S&P were differed.

Özet

Bu çalışma Türkiye Cumhuriyeti Merkez Bankası para politikası kararlarının ve parasal değişkenlerin Borsa İstanbul üzerindeki uzun dönemli etkisini ölçmeyi amaçlamaktadır. Söz konusu amaca ulaşabilmek için HP filter (Hodrick–Prescott) ve Uzun Dönem (F matris) Yapısal VAR Modeli yöntemlerinden yararlanılmıştır. Analiz 2005Q04 ve 2019Q03 dönemlerini kapsamaktadır. Türkiye Cumhuriyeti Merkez Bankası para politikası kararlarının ve parasal değişkenlerin BIST100 üzerindeki etkisini ölçebilmek için M2 ve M3 para arzının dahil edildiği iki model kurulmuştur. Çalışmada kullanılan değişkenler M2, M3 para arzı, enflasyon ve kısa dönem faiz oranı, döviz kuru, S&P500 ve GDP değerleridir. Uzun Dönem Yapısal VAR modeli analize dahil edilen değişkenlere verilen ani şokların Borsa İstanbul’u ne yönde etkileyeceğini görmek amacıyla kullanılmıştır. Analizden elde edilen ampirik bulgular döviz kuru, para arzı (M2 ve M3), enflasyon ve faiz oranının BIST100 üzerinde ki etkilerinin kurulan iki modelde de negatif olduğu fakat GDP ve S&P etkisinin farklılık gösterdiği sonucuna ulaşılmıştır.

🔖

Cite This Article

DEMİRKALE, Ö., OJAGHLOU, M. (2022). STRUCTURAL VAR MODEL ANALYSIS OF THE IMPACT OF MONETARY POLICY DECISIONS ON BIST100. İktisadi İdari ve Siyasal Araştırmalar Dergisi, Cilt: 5 - Sayı: 12, 141–155. https://ajindex.com/articles/544343

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (7)

  1. Alexander, W.E., Balino, T.J.T. & Enoch, C. (1995). The Adoption of Indirect Instruments of Monetary Policy. IMF Çalışma Tebliği. 126. Alshogeathri, M.A.M. (2011). Macroeconomic Determinants of the Stock Market Movements: Empirical Evidence from the Saudi Stock Market. Ph.D thesis, Kansas State University. Ashley, R. A., & Verbrugge, R.J. (2009). To Difference or Not to Difference: A Monte Carlo Investigation of Inference in Vector Autoregression Models. International Journal of Data Analysis Techniques and Strategies, 1(3), 242-274.
  2. Andersson, M. (2007). Using Intraday Data to Gauge Financial Market Responses to FED and ECB Monetary Policy Decisions, ECB Working Paper, No. 726. Bernanke, B. S. (1986). Alternative Explanations of the Money-Income Correlation. Carnegie-Rochester Conference Series on Public Policy, Elsevier, 25(1), 49-99.
  3. Berument, H.& Kutan, A.M. (2007). Para Politikası Kararlarının Hisse Senedi Piyasası Üzerine Etkisi: Türkiye Uygulaması. Scientific Journal of Administrive Development. (5), 117‐144. Bjørnland, H. & Leitemo, K. (2005). Identifying the Interdependence Between US Monetary Policy and The Stock Market. Journal of Monetary Economics, 56(2), 275-282.
  4. Boyd, J.H., Jagannathan, R. & Hu, J. (2001). The Stock Market’s Reaction to Unemployment News: Why Bad News Is Usually Good for Stocks, NBER Working Paper 8092. Bhattacharya, B., & Mukherjee, J. (2003). Casual Relationship between Stock Market and Exchange Rate, Foreign Exchange Reserves and Value of Trade Balance. Presented in 5th Annual Conference on Money and Finance in India Conover, C. M., Jensen, G.R. & Johnson, R. R. (1999). Monetary Environments and International Stock Returns. Journal of Banking and Finance. 9 (23), 1357‐1381. Cook, T. & Hahn, T. (1989). The effect of Changes in The Federal Funds Rate Target on Market Interest Rates in The 1970s. Journal of Monetary Economics, 24(3), 331-351.
  5. Demiralp, S. &Yılmaz, K. (2010). Para Politikası Beklentierinin Sermaye Piyasaları Üzerindeki Etkisi. TÜSİAD, Koç University Economic Research Forum Working Paper Series. Duran, M., Özlü, P. & Ünalmış, D. (2010) TCMB Faiz Kararlarının Hisse Senedi Piyasaları Üzerine Etkisi, Central Bank Review, 10(2). Fair, R.C. (2006).
  6. Events That Shook the Market, The Journal of Business 75(2). Flannery, M. J., & Protopapadakis A.A. (2002). Macroeconomic Factors Do Influence Aggregate Stock Returns. The Review of Financial Studies. 15(3), 751-782.
  7. Franck, P., & Young., A. (1972). Stock Price Reaction