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TÜRKİYE’DE SPOT VE VADELİ İŞLEM PİYASALARI ARASINDA BİLGİ ETKİNLİĞİ VE ETKİLEŞİM: ÖNCÜL-ARDIL İLİŞKİLER VE VOLATİLİTE İLETİMİ

Year 2022, Volume: 18 Issue: 2, 470 - 491, 30.06.2022
https://doi.org/10.17130/ijmeb.969177

Abstract

Çalışmanın amacı, Borsa İstanbul’da işlem gören Bist 30 endeksi ve Dolar-TL vadeli işlem sözleşmeleri ile dayandıkları spot piyasalar arasındaki ilişkileri incelemektir. 5 Ağustos 2013-28 Nisan 2021 dönemine ait günlük logaritmik getiriler kullanılarak yürütülen çalışmada spot ve vadeli işlem piyasaları arasında öncül-ardıl ilişkileri ve fiyat keşfi fonksiyonunun yanı sıra volatilite yayılımları da ortaya konulmaya çalışılmıştır. Böylece yeni bilginin hangi piyasada daha önce fiyatlandığına, dolayısıyla hangi piyasanın etkinliğinin daha yüksek olduğuna ışık tutulmak istenmiştir. VAR-BEKK-GARCH ve VAR-DCC-GARCH modellerinin çözümünden elde edilen bulgular endekste spot piyasanın liderliğini, döviz piyasasında ise çift yönlü etkileşimin varlığını ortaya koymaktadır. Analiz sonuçları piyasalar arasında dinamik koşullu korelasyonların anlamlı olduğunu ve pozitif bilginin volatilite üzerindeki etkisinin daha güçlü olduğu göstermiştir.

References

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INFORMATION EFFICIENCY AND INTERACTIONS BETWEEN SPOT AND FUTURES MARKETS: LEAD-LAG RELATIONSHIP AND VOLATILITY TRANSMISSION

Year 2022, Volume: 18 Issue: 2, 470 - 491, 30.06.2022
https://doi.org/10.17130/ijmeb.969177

Abstract

The aim of the study is to examine the relations between the Bist 30 index and USD-TRY futures contracts traded in Borsa Istanbul and the underlying spot markets. In the study, which was carried out using daily logarithmic returns for the period of August 5, 2013-April 28, 2021, the lead-lag relationships between spot and futures markets and the price discovery function as well as volatility spillovers were tried to be revealed. Thus, it is aimed to shed light on which market the new information is priced in first, and therefore which market has the higher efficiency. Findings obtained from the VAR-BEKK-GARCH and VAR-DCC-GARCH models reveal the leadership of the spot market in the index and the presence of bidirectional interaction in the foreign exchange markets. Results also showes that dynamic conditional correlations between markets are significant and the effect of positive information on volatility is stronger.

References

  • Alemany, N., Arago, V. & Salvador, E. (2020). Lead-lag relationship between spot and futures stock indexes: Intraday data and regime-switching models. International Review of Economics and Finance, 68, 269-280. https://doi.org/10.1016/j.iref.2020.03.009
  • Alphonse, P. (2000). Efficient price discovery in stock index cash and futures markets. Annales d'Économie et de Statistique, Financial Market Microstructure (Oct. - Dec., 2000), 60, 177- 188. https://www.jstor.org/stable/20076259
  • Ausloos, M., Zhang, Y. & Dhesi, G. (2020). Stock index futures trading impact on spot price volatility. The CSI 300 studied with TGARCH model. Expert Systems with Applications, 160, 113688.
  • Baba,Y., Engle, R. F., Kraft, D. F. & Kroner, K. F. (1990). Multivariate simultaneous generalized ARCH. MIMEO, Department of Economics, University of California, San Diego.
  • Balcılar, M., Güngör, H. & Hammoudeh, S. (2015). The time-varying causality between spot and futures crude oil prices: A regime switching approach. International Review of Economics and Finance, 40, 51-71. http://dx.doi.org/10.1016/j.iref.2015.02.008
  • Beirne, J., Caporale, G. M., Schulze-Ghattas, M. & Spagnolo, N. (2013). Volatility spillovers and contagion from mature to emerging stock markets. Review of International Economics, 21, 1060-1975. https://doi.org/10.1111/roie.12091
  • Brooks, C., Rew, A. G. & Ritson, S. (2001). A trading strategy based on the lead-lag relationship between spot index and futures contract for the FTSE 100. International Journal of Forecasting, 17, 31-44.
  • Brorsen, B. W., Bailey, D. V. & Richardson, J. W. (1984). Investigation of price discovery and efficiency for cash and futures cotton prices. Western Journal of Agricultural Economics, 9(1), 170-176.
  • Chakravarty, S., Gülen, H. & Mahyew, S. (2004). Informed trading in stock and option markets. The Journal of Finance, 59(3), 1235-1257.
  • Chance, D. M. (2017). Chapter I: Derivative Markets and Instruments, in Derivatives, ed. Pirie, W. L., CFA Institute Investment Series, John Wiley&Sons Inc., New Jersey, pp. 1-53.
  • Chen, H., Liu, Z., Zhang, Y. & Wu, Y. (2020). The linkages of carbon spot-futures: evidence from EU-ETS in the third phase. MDPI Sustainability, 12, 2517. doi:10.3390/su12062517
  • Cheung, Y.-W. & Fung, H.-G. (1997). Information flows between eurodollar spot and futures markets. Multinational Finance Journal, 1(4), 255-271. Retrieved from https://ideas.repec.org/
  • Chiang, R. & Fong, W.-M. (2001). Relative informational efficiency of cash, futures, and options markets: The case of an emerging market. Journal of Banking and Finance, 25, 355-375.
  • Çelik, İ. (2012). Vadeli işlem piyasasında fiyat keşfi: İzmir Vadeli İşlem ve Opsiyon Borsasında Ampirik bir Uygulama. Türkiye Bankalar Birliği, Yayın No. 283, İstanbul, 2012.
  • Çevik, E. İ. & Pekkaya, M. (2007). Spot ve vadeli işlem fiyatlarının varyansları arasındaki nedensellik testi. Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 22(2), 49-66.
  • Demireli, E. & Torun, E. (2019). Sürekli dalgacık dönüşümlü Granger nedensellik analizi ile BİST-30 endeksi ve endeks vadeli işlem sözleşmesi üzerine bir araştırma. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 42, 191-199.
  • Demireli, E., Gülmez, E. & Akkaya, G. C. (2010). Vadeli ve spot kurlar arasındaki nedensellik ilişkisi: İzmir Vadeli İşlem ve Opsiyon Borsası üzerine bir uygulama. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, 27. Retrieved from https://dergipark.org.tr/en/pub/dpusbe/issue/4769/65619
  • Engle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate GARCH models. Journal of Business and Economic Statistics, 20(3), 339-350.
  • Engle, R. F., & Kroner, F. K. (1995). Multivariate simultaneous generalized ARCH. Econometric Theory, 11(1), 122-150.
  • Ersoy, E. & Bayrakdaroğlu, A. (2013). İMKB-30 endeksi ile VOB-İMKB 30 endeks vadeli işlem sözleşmeleri arasındaki öncül-ardıl ilişkisi. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 42(1), 26-40.
  • Feng, J. & Jiang, Y. (2013). Volatility spillovers between the stock index futures and its underlying spot market in China. 20. International Conference on Management Science & Engineering, Harbin, China, July 17-19, 2013.
  • Garbade, K. D. & Silber, W. L. (1983). Price movements and price discovery in futures and cash markets. The Review of Economics and Statistics, May-1983, 65(2), 289-297. Retrieved from https://www.jstor.org/
  • Gkillas, K., Konstantatos, C., Floros, C. & Tsagkanos, A. (2021). Realized volatility spillovers between US spot and futures during ECB news: Evidence from the European sovereign debt crisis. International Review of Financial Analysis, 74, 101706.
  • Gong, C.-C., Ji, S.-D., Su, L.-L., Li, S.-P. & Ren, F. (2016). The lead-lag relationship between stock index and stock index futures: A thermal optimal path method. Physica A, 444, 63-72. http://dx.doi.org/10.1016/j.physa.2015.10.028
  • Gök, İ. Y. & Kalaycı, Ş. (2014). BİST 30 spot ve futures piyasalarında güniçi fiyat keşfi ve volatilite yayılımı. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 19(3), 109-133.
  • Gürbüz, S. & Şahbaz, S. (2021). Investigating the volatlity spillover effect between derivative markets and spot markets via wavelets: The case of Borsa İstanbul. Borsa İstanbul Review. https://doi.org/10.1016/j.bir.2021.05.006
  • He, F., Liu-Chen, B., Meng, X., Xiong, X. & Zhang, W. (2020). Price discovery and spillover dynamics in the Chinese stock index futures market: a natural experiment on trading volume restriction. Quantitative Finance, 20(12), 2067-2083. https://doi.org/10.1080/14697688.2020.1814037
  • Hou, Y. (G.) & Li, S. (2020). Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China. International Review of Economics and Finance, 66, 166-188. https://doi.org/10.1016/j.iref.2019.11.003
  • Huo, R. & Ahmed, A. D. (2018). Relationships between Chinese stock market and its index futures market: Evaluating the impact of QFII scheme. Research in International Business and Finance, 44, 135-152. http://dx.doi.org/10.1016/j.ribaf.2017.07.049
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There are 66 citations in total.

Details

Primary Language Turkish
Subjects Finance
Journal Section Research Articles
Authors

Gamze Göçmen Yağcılar 0000-0002-5009-4696

Publication Date June 30, 2022
Submission Date July 9, 2021
Acceptance Date December 9, 2021
Published in Issue Year 2022 Volume: 18 Issue: 2

Cite

APA Göçmen Yağcılar, G. (2022). TÜRKİYE’DE SPOT VE VADELİ İŞLEM PİYASALARI ARASINDA BİLGİ ETKİNLİĞİ VE ETKİLEŞİM: ÖNCÜL-ARDIL İLİŞKİLER VE VOLATİLİTE İLETİMİ. Uluslararası Yönetim İktisat Ve İşletme Dergisi, 18(2), 470-491. https://doi.org/10.17130/ijmeb.969177