Journals / Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi / 2018 / Cilt: 21 - Sayı: 40

Analysis of Relationship Between BIST-100 and BIST Sector Indices with VIX Index

BİST-100 VE BİST SEKTÖR ENDEKSLERİ İLE VIX ENDEKSİ ARASINDAKİ İLİŞKİSİNİN ANALİZİ

Pages
351–374
Publication Date
2018-12-15
DOI
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AI Summary & Key Takeaways

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

According to Toda-Yamamoto causality test results, one-way causality relation was found from VIX index towards XU100, XBANK, XUMAL and XUTEK indices.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The VIX index is an important index used as an indicator for estimating future expected movements of capital markets worldwide.
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Key Findings & Data:The aim of this study is to determine the causality relation between the VIX index, the BIST National 100 index and the BIST sectoral indices (Bank, Financial and Technology) for the period between 05.01.2010-22.06.2018.
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Conclusion & Impact:According to Toda-Yamamoto causality test results, one-way causality relation was found from VIX index towards XU100, XBANK, XUMAL and XUTEK indices.
🔬Design:Research Article
📍Scope:2010 Verileri
⚙️Variables:VIX Index · ARDL Boundary Testing · Toda-Yamamoto Causality Test

Abstract

The VIX index is an important index used as an indicator for estimating future expected movements of capital markets worldwide. The aim of this study is to determine the causality relation between the VIX index, the BIST National 100 index and the BIST sectoral indices (Bank, Financial and Technology) for the period between 05.01.2010-22.06.2018. ADF and PP unit root tests, ARDL boundary test and Toda-Yamamoto causality test were used for analysis. According to the cointegration test results, there is a long and statistically significant relationship between VIX index and BIST National 100 (XU100), BIST Bank (XBANK), BIST Financial (XUMAL) and BIST Technology (XUTEK) indices. According to Toda-Yamamoto causality test results, one-way causality relation was found from VIX index towards XU100, XBANK, XUMAL and XUTEK indices.

Özet

VIX endeksi, tüm dünyada menkul kıymet piyasalarının gelecekteki beklenen hareketlerinin tahmini için gösterge olarak kullanılan önemli bir endekstir. Bu çalışmanın amacı, 05.01.2010-22.06.2018 tarihleri arasındaki dönem için VIX endeksi ile BİST Ulusal 100 endeksi ve BİST sektörel endeksler (Banka, Mali ve Teknoloji) arasındaki nedensellik ilişkisinin tespit edilmesidir. Analiz yöntemleri olarak ADF ve PP birim kök testleri, ARDL sınır testi ve Toda-Yamamoto nedensellik testi kullanılmıştır. Çalışmadan elde edilen eşbütünleşme testi sonuçlarına göre, VIX endeksi ile BİST Ulusal 100 (XU100), BİST Banka (XBANK), BİST Mali (XUMAL) ve BİST Teknoloji (XUTEK) endeksleri arasında uzun dönemli istatistiksel olarak anlamlı bir ilişki bulunmaktadır. Toda-Yamamoto nedensellik testi sonuçlarına göre ise, VIX endeksinden XU100, XBANK, XUMAL ve XUTEK endekslerine doğru tek yönlü nedensellik ilişkisi bulunmuştur.

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Cite This Article

SAKARYA, Ş., AKKUŞ, H. T. (2018). Analysis of Relationship Between BIST-100 and BIST Sector Indices with VIX Index. Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Cilt: 21 - Sayı: 40, 351–374. https://ajindex.com/articles/107641

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References (15)

  1. Banerjee, A. ve Kumar, R. (2011). Realized Volatility and India VIX. Working Paper, Indian Institute of Management Calcutta, No. 688. Becker, R., Clements, A. E. ve McClelland, A. (2009). The Jump Component of S&P 500 Volatility and the VIX Index. Journal of Banking & Finance, 33 (6) 1033-1038.
  2. CBOE (2018). Chicago Board of Exchange. 25.06.2018 tarihinde http://www. cboe.com/products/vix-index-volatility/vix-options-and-futures/vixindex/ vix-historical-data adresinden erişildi. Corrado, C. J. ve Miller, J. T. W. (2005). The Forecast Quality of CBOE Implied Volatility Indexes. Journal of Futures Markets, 25 (4), 339-373.
  3. Çil Yavuz, N. (2015).
  4. Finansal Ekonometri. Der Yayınları,
  5. İstanbul.
  6. Dickey, D. A. ve Fuller, W. A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with A Unit Root. Econometrica, 49(4), 1057-1072).
  7. Dikmen, N. (2012). Ekonometri: Temel Kavramlar ve Uygulamalar. Bursa: Dora Yayıncılık. Emna, R. ve Myriam, C. (2017). Dynamics of the Relationship between Implied Volatility Indices and Stock Prices Indices: The Case of European Stock Markets. Asian Economic and Financial Review, 7 (1), 52-62.
  8. Engle, R. F. ve Granger, C. W. J. (1987). Co-integration and Error Correction: Representation, Estimation and Testing. Econometrica, 55 (2), 251-276.
  9. Erdoğdu, H. ve Baykut, E. (2016). BIST Banka Endeksi’nin (XBANK) VIX ve MOVE Endeksleri ile İlişkisinin Analizi. Bankacılar Dergisi, 98, 57-72.
  10. Fernandes, M., Medeiros, M. C. ve Scharth, M. (2013). Modeling and Predicting the CBOE Market Volatility Index. Sao Paulo Schools of Economics, Working Paper 342, Ceqef No: 10. Giot, P. (2005). On the Relationships between Implied Volatility Indices and Stock Index Returns. The Journal of Portfolio Management, 31(3), 92-100.
  11. Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-Spectral Methods. Econometrica, 37 (3), 424-438.
  12. Gujarati, D. (2015). Örneklerle Ekonometri (N. Bolatoğlu, Çev.). Ankara: BB101 Yayınları.
  13. İskenderoğlu, Ö. ve Akdağ, S. (2018). VIX Korku Endeksi ile Çeşitli Ülkelerin Hisse Senedi Endeks Getirileri Arasında Bir Nedensellik Analizi. 2. International Economic Research and Financial Markets Congress: 12-13-14 Nisan 2018 – Cappadocia: Bildiriler (489-505).
  14. Johansen, S. (1988). Statistical Analysis of Cointegrating Vectors. Journal of Economic Dynamics and Control, 12 (2-3), 231-254.
  15. Jung, Y. (2016). Relative Performance of VIXC vs. GARCH in Predicting Realized Volatility Changes. Investment Analys