BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ
Yıl: 2018 Cilt: 6 Sayı: 4 Sayfa Aralığı: 1015 - 1032 Metin Dili: Türkçe DOI: 10.15295/bmij.v6i4.381 İndeks Tarihi: 15-01-2020
BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ
Öz: Yatırımcılar portföy riskini azaltmak amacıyla sektörel çeşitlendirmeye gidebilmektedir. Bu durumda sağlıklı yatırım kararlarının verilebilmesi için sektörler arasında ilişkilerin doğru bir şekilde belirlenmesi gerekmektedir. Özellikle krizler sektörler arasındaki oynaklık yayılımları üzerinde doğrudan etkili olmaktadır. Bu bağlamda çalışmada krizlerin ve farklı tipteki şokların Borsa İstanbul (BİST) alt sektör endeksleri arasındaki oynaklık yayılımları üzerindeki etkilerinin belirlenmesi amaçlanmıştır. Bu amaca uygun olarak 2001 Finansal Krizi ve 2008 Küresel Krizi baz alınarak belirlenen dönemler için DCC-GARCH analizi uygulanmıştır. Sonuçlar Asya Krizi, Rusya krizi, 1999 Depremi, 2002 genel seçimi, 2003 Körfez Savaşı, Gezi Parkı olayları, 17-25 Aralık operasyonları, Merkez Bankası faiz politikaları ile sektörlere özgü olayların yayılımları etkilediğini ortaya koymuştur
Anahtar Kelime: Konular:
ANALYSIS OF THE VOLATILITY SPILLOVERS AMONG BORSA ISTANBUL SUB-SECTOR INDICES
Öz: Investors may prefer sectoral diversification in order to reduce the portfolio risk. In this case, investors should determine the relationships between the sectors properly in order to make healthy investment decisions. Especially crises directly affect volatility spillovers between the sectors. In this context, it is aimed to determine the effects of crises and different types of shocks on volatility spillovers among Borsa İstanbul (BIST) sub-sector indices. In accordance with this purpose The DCC-GARCH analysis is applied to the series which are determined based on 2001 Financial Crisis and 2008 Global Crisis. The results indicate that Asian Crisis, Russia Crisis, 1999 Earthquake, 2002 general election, 2003 Gulf War, Gezi Park events, 17-25 December operations, Central Bank interest policies and industry-specific events also had effects on spillovers.
Anahtar Kelime: Konular:
Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
- Caporin, M. (2013). Equity and CDS sector indices: Dynamic models and risk hedging. The North American Journal of Economics and Finance, 25, 261-275. https://doi.org/10.1016/j.najef.2012.06.004
- Chang, C., McAleer, M., & Tansuchat, R. (2013). Conditional correlations and volatility spillovers between crude oil and stock index returns. The North American Journal of Economics and Finance, 25, 116-138. https://doi.org/10.1016/j.najef.2012.06.002
- Chiang, T. C., Jeon, B. N., & Li, H. (2007). Dynamic correlation analysis of financial contagion: Evidence from Asian markets. Journal of International Money and Finance, 26(7), 1206-1228. https://doi.org/10.1016/j.jimonfin.2007.06.005
- Dimitriou, D., Kenourgios, D., & Simos, T. (2013). Global financial crisis and emerging stock market contagion: A multivariate FIAPARCH–DCC approach. International Review of Financial Analysis, 30, 46-56. https://doi.org/10.1016/j.irfa.2013.05.008
- Durai, S. R. S., & Bhaduri, S. N. (2011). Correlation dynamics in equity markets: evidence from India. Research in International Business and Finance, 25(1), 64-74. https://doi.org/10.1016/j.ribaf.2010.07.002
- Engle, R. F. (2002). Dynamic conditional correlation. Journal of Business and Economic, 20(3), 339-350. https://doi.org/10.1198/073500102288618487
- Engle, R. F., & Sheppard, K. (2001). Theoretical and empirical properties of dynamic conditional correlation MVGARCH. NBER Working Paper Series No: 8554, University of California. http://www.nber.org/papers/w8554
- Guesmi, K., Kaabia, O., & Kazı, I. (2013). Does shift contagion exist between OECD stock markets during the financial crisis?. The Journal of Applied Business Research, 29(2), 469-484. https://doi.org/10.19030/jabr.v29i2.7651
- Hinojales, M., & Park, C. (2011). Stock market integration: Emerging East Asian’s experience. The dynamics of Asian financial integration. (Ed: M. B. Devereux, P. R. Lane, C. Park, & S. Wei). Oxon: Routledge, 172-203. https://www.adb.org/publications/dynamics-asian-financial-integration-facts-and-analytics
- Horng, W., & Chyan, J. (2009). A DCC analysis of two stock market returns volatility with an oil price factor: An evidence study of Singapore and Thailand’s stock markets. Journal of Convergence Information Technology, 4(1), 63-69. http://www.globalcis.org/jcit/ppl/jcit040110.pdf
- Hwang, E., Min, H., Kim, B., & Kim, H. (2013). Determinants of stock market comovements among US and emerging economies during the US financial crisis. Economic Modelling, 35, 338-348. https://doi.org/10.1016/j.econmod.2013.07.021
- Kearney, C., & Poti, V. (2006). Correlation dynamics in European equity markets. Research in International Business and Finance, 20(3), 305-321. https://doi.org/10.1016/j.ribaf.2005.05.006
- Lien, D., & Yang, L. (2009). Intraday return and volatility spill-over across international copper futures markets. International Journal of Managerial Finance, 5(1), 135-149. https://doi.org/10.1108/17439130910932378
- Min, H., & Hwang, Y. (2012). Dynamic correlation analysis of US financial crisis and contagion: evidence from four OECD countries. Applied Financial Economics, 22(24), 2063-2074. https://doi.org/10.1080/09603107.2012.698161
- Naoui, K., Khemiri, S., & Liouane, N. (2010). Crises and financial contagion: The Subprime Crisis. Journal of Business Studies Quarterly, 2(1), 15-28. http://jbsq.org/wp-content/uploads/2010/12/JBSQ_5B.pdf
- Sadorsky, P. (2012). Correlations and volatility spillovers between oil prices and the stock prices of clean energy
- and technology companies. Energy Economics, 34(1), 248-255. https://doi.org/10.1016/j.eneco.2011.03.006
- Savva, C. S., Osborn, D. R., & Gill, L. (2009). Spillovers and correlations between US and major European stock markets: the role of the euro. Applied Financial Economics, 19(19), 1595-1604. https://doi.org/10.1080/09603100802599563
- Syllignakis, M. N., & Kouretas, G. P. (2011). Dynamic correlation analysis of financial contagion: Evidence from the Central and Eastern European markets. International Review of Economics and Finance, 20(4), 717-732. https://doi.org/10.1016/j.iref.2011.01.006
- Thao, T. P., Daly, K., & Ellis, C. (2013). Transmission of the Global Financial Crisis to the East Asian Equity Markets. International Journal of Economics and Finance, 5(5), 171-183. https://doi.org/10.5539/ijef.v5n5p171
- Wang, P., & Moore, T. (2012). The integration of the credit default swap markets during theUS subprime crisis: Dynamic correlation analysis. Journal of International Financial Markets, Institutions & Money, 22(1), 1-15. https://doi.org/10.1016/j.intfin.2011.07.001
- Xiao, L., & Dhesi, G. (2010). Volatility spillover and time-varying conditional correlation between the European and US stock markets. Global Economy and Finance Journal, 3(2), 148-164. http://www.gefjpapers.com/static/documents/September/2010/11.%20Xiiaoling-FINAL.pdf
- Yiu, M. S., Ho, W. A., & Choi, D. F. (2010). Dynamic correlation analysis of financial contagion in Asian markets in global financial turmoil. Applied Financial Economics, 20(4), 345-354. https://doi.org/10.1080/09603100903494946
- Yilmaz, M. K., Sensoy, A., Oztürk, K., & Hacihasanoglu, E. (2015). Cross-sectoral interactions in Islamic equity markets. Pacific-Basin Finance Journal, 32, 1-20. https://doi.org/10.1016/j.pacfin.2014.12.008
| APA | Kamışlı M, SEVİL G (2018). BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ. , 1015 - 1032. 10.15295/bmij.v6i4.381 |
| Chicago | Kamışlı Melik,SEVİL GÜVEN BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ. (2018): 1015 - 1032. 10.15295/bmij.v6i4.381 |
| MLA | Kamışlı Melik,SEVİL GÜVEN BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ. , 2018, ss.1015 - 1032. 10.15295/bmij.v6i4.381 |
| AMA | Kamışlı M,SEVİL G BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ. . 2018; 1015 - 1032. 10.15295/bmij.v6i4.381 |
| Vancouver | Kamışlı M,SEVİL G BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ. . 2018; 1015 - 1032. 10.15295/bmij.v6i4.381 |
| IEEE | Kamışlı M,SEVİL G "BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ." , ss.1015 - 1032, 2018. 10.15295/bmij.v6i4.381 |
| ISNAD | Kamışlı, Melik - SEVİL, GÜVEN. "BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ". (2018), 1015-1032. https://doi.org/10.15295/bmij.v6i4.381 |
| APA | Kamışlı M, SEVİL G (2018). BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ. Business and Management Studies: An International Journal, 6(4), 1015 - 1032. 10.15295/bmij.v6i4.381 |
| Chicago | Kamışlı Melik,SEVİL GÜVEN BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ. Business and Management Studies: An International Journal 6, no.4 (2018): 1015 - 1032. 10.15295/bmij.v6i4.381 |
| MLA | Kamışlı Melik,SEVİL GÜVEN BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ. Business and Management Studies: An International Journal, vol.6, no.4, 2018, ss.1015 - 1032. 10.15295/bmij.v6i4.381 |
| AMA | Kamışlı M,SEVİL G BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ. Business and Management Studies: An International Journal. 2018; 6(4): 1015 - 1032. 10.15295/bmij.v6i4.381 |
| Vancouver | Kamışlı M,SEVİL G BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ. Business and Management Studies: An International Journal. 2018; 6(4): 1015 - 1032. 10.15295/bmij.v6i4.381 |
| IEEE | Kamışlı M,SEVİL G "BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ." Business and Management Studies: An International Journal, 6, ss.1015 - 1032, 2018. 10.15295/bmij.v6i4.381 |
| ISNAD | Kamışlı, Melik - SEVİL, GÜVEN. "BORSA İSTANBUL ALT SEKTÖR ENDEKSLERİ ARASINDAKİ OYNAKLIK YAYILIMLARININ ANALİZİ". Business and Management Studies: An International Journal 6/4 (2018), 1015-1032. https://doi.org/10.15295/bmij.v6i4.381 |
