Vol. 10 No. 3 (2022): Business & Management Studies: An International Journal
Articles

Asymmetric return and volatility spillover from a different perspective: S&P Shariah? S&P Casinos&Gaming?

Fatih KONAK
Assoc. Prof. Dr., Hitit University, Çorum, Turkiye
Diler TÜRKOĞLU
PhD. Student, Hitit University, Çorum, Turkiye

Published 2022-09-25

Keywords

  • S&P 500 Shariah, S&P 500 Casinos&Gaming, VIX, Volatilite Yayılımı, Asimetrik Getiri
  • S&P 500 Shariah, S&P 500 Casinos&Gaming, VIX, Volatility Spillover, Asymmetric Return

How to Cite

KONAK, F., & TÜRKOĞLU, D. (2022). Asymmetric return and volatility spillover from a different perspective: S&P Shariah? S&P Casinos&Gaming?. Business & Management Studies: An International Journal, 10(3), 1172–1186. https://doi.org/10.15295/bmij.v10i3.2075

Abstract

The main purpose of this study is to reveal the reaction of the financial markets with a traditional and Islamic perspective to the VIX index. In this context, while the S&P 500 Shariah and S&P 500 Casinos & Gaming Indices, which can be considered two poles, were taken into the focus of analysis, it was investigated whether investors made investment decisions from a behavioural point of view and whether they were affected by the VIX fear index after these decisions, under the assumption that other variables were constant. In this perspective, the volatility spillover and asymmetric return between the two extreme indices and VIX index between 08.04.2008 and 19.01.2022 were analyzed with the Extended EGARCH method. According to the findings, even if a negative return spread from the VIX index is detected for both indices, the results are statistically insignificant. In the framework of asymmetric volatility, the leverage effect can be mentioned for both indices. Finally, there was a positive and statistically significant spillover from the VIX Index to the S&P 500 Shariah Index, and a negative and statistically insignificant spread in the S&P 500 Casinos & Gaming Index. In the analysis constraints, it was concluded that the VIX Index may have different effects on the index structures created with different perspectives.

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References

  1. DOI https://doi.org/10.18551/econeurasia.2021-12
  2. Atkinson, S., & LeBruto, S. (1995). Gaming Stocks: Hot or Not? The Journal of Hospitality Financial Management, 4(1), 33-41. doi:http://dx.doi.org/10.1080/10913211.1995.10653669
  3. Aydın, Ü., & Ağan, B. (2017). Davranışsal Finans-Finansal Yatırım Kararlarının Davranışsal Temelleri. Bursa: Ekin Yayınevi.
  4. Berument, H., & Kiymaz, H. (2001). The Day of the Week Effect on Stock Market Volatilit. Journal of Economics And Finance(25), 181-193.
  5. Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307-327.
  6. Boujelbène Abbes, M. (2012). Risk And Return Of Islamic And Conventional Indices. International Journal of Euro-Mediterranean Studies, 5(1), 1-23.
  7. Chiang, S.-M. (2012). The Relationships Between Implied Volatility Indexes And Spot Indexes. Procedia - Social and Behavioral Sciences, 57, 231-235.
  8. Cornett, M. M., Adair, T. A., & Nofsinger, J. (2016). Finans. (V. Sarıkovanlık, Çev.) Ankara: Nobel Yayınevi.
  9. Cüceloğlu, D. (2004). İnsan ve Davranışı Psikolojinin Temel Kavramları (13. b.). İstanbul: Remzi Kitabevi.
  10. Çelik, İ., Özdemir, A., & Demir Gülbahar, S. (2018). İslami Hisse Senedi Endeksleri Arasında Getiri Ve Volatilite Yayılımı: Gelişmiş ve Gelişmekte Olan Piyasalarda Çok Değişkenli VAR-EGARCH Uygulaması. Muhasebe ve Finans İncelemeleri Dergisi, 1(2), 89-100.
  11. Dahlvid, C., & Granberg, P. (2017). The Leverage Effect-Uncovering The True Nature of Us Asymmetric Volatility.
  12. Deni Pandu, N. (2021). Omparatıve Analysis of Risk and Return On Indonesian Islamic Stock Index in Different Economic Conditions. Jurnal Ekonomi dan Manajemen, 15(1), 51-64.
  13. Dickey, D., & Fuller, W. (1979). Distribution of The Estimators For Autoregressive Time Series With A Unit Root. Journal of The American Statistical Association, 74(366a), 427-431.
  14. Dispa, H., & Petitjean, M. (2015)" Performance, risk profile and diversification potential of Islamic Equity Indices: a comprehensive study of the indices of the S&P BMI Shariah SeriesEadington, W., Wells,
  15. R., & Gossi, D. (2010). Estimating The Impact Of California Tribal Gaming On Demand For Casino Gaming in Nevada. UNLV Gaming Research & Review Journal, 14(2), 33-46.
  16. Engle, R. (1982). Autoregressive Conditional Heteroscedasticity With Estimates Of The Variance Of United Kingdom İnflation. Econometrica: Journal Of The Econometric Society, 987-1007.
  17. Engle, R. F., & Kg, V. K. (1993). Measuring and Testing the Impact of News on Volatility. The Journal of Finance, 48(5), 1749-1778.
  18. Erdoğan, S., Gedikli, A., & Çevik, E. İ. (2020). The Effect of the Covid-19 Pandemic on Conventional and Islamic Stock Markets in Turkey. Bilimname, 2, 89-110.
  19. Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance, 25(2), 383-417.
  20. Farooq, M., & Reza, M. (2014). Dow Jones Islamic Market Us Index: Applying Technical Analysis From A Comparative Perspective. International Journal of Islamic and Middle Eastern Finance and Management, 7(4), 395-420.
  21. Glosten, L., Jagannathan, R., & Runkle, D. E. (1993). On The Relation Between The Expected Value And The Volatility Of The Nominal Excess Return On Stocks. The journal of finance, 48(5), 1779-1801.
  22. Güçlü, F. (2020). İslami ve Konvansiyonel Hisse Senedi Endekslerinin Oynaklıkları Üzerine Bir İnceleme. MANAS Sosyal Araştırmalar Dergisi, 9(2), 1070 - 1088. doi:https://doi.org/10.33206/mjss.569051
  23. Haddad, H., & Trabelsi, N. (2021). Better Safe Havens During COVID-19: A Comparison Between Islamic and Selected Financial Assets. Journal of Islamic Monetary Economics and Finance, 7, 33-82. doi:https://doi.org/10.21098/jimf.v7i0.1343
  24. Hakim, S., & Rashidian, M. (2002). Risk & Return of Islamic Stock Market Indexes. In 9th Economic Research Forum Annual Conference in Sharjah, 26-28.
  25. Hasan, M., Mahi, M., Hassan, M., & Bhuiyan, A. (2021). Impact Of Covıd-19 Pandemic On Stock Markets: Conventional vs. Islamic İndices Using Wavelet-Based Multi-Timescales Analysis. North American Journal of Economics and Finance, 58. doi:https://doi.org/10.1016/j.najef.2021.101504
  26. Hirshleifer, D. (2015). Behavioral Finance. Annual Review of Financial Economics, 7, 133-159. doi:https://doi.org/10.1146/annurev-financial-092214-043752
  27. Hkiri, B., Hammoudeh, S., Aloui, C., & Yarovaya, L. (2017). Are Islamic indexes a safe haven for investors? An analysis of total, directional and net volatility spillovers between conventional and Islamic indexes and importance of crisis periods. Pacific-Basin Finance Journal, 43, 124-150.
  28. Hussein, K. A. (2004). Ethical Investment: Empirical Evidence From FTSE Islamic Index. Islamic Economic Studies, 12(1), 21-40.
  29. Irfan, M. (2020). Performance of Shariah Index in India: An Empirical Study of Risk and Return Behavior. National Conference on Paradigm for Sustainable Business: People, Planet and Profit.
  30. Jebran, K., Chen, S., Ullah, I., & Mirza, S. S. (2017). Does Volatility Spillover Among Stock Markets Varies From Normal To Turbulent Periods? Evidence From Emerging Markets Of Asia. The Journal of Finance and Data Science, 3, 20-30. doi:https://doi.org/10.1016/j.jfds.2017.06.001
  31. Karan, M. (2013). Yatırım analizi ve Portföy Yönetimi (4. b.). Ankara: Gazi Kitabevi.
  32. Korkmaz, T., & Ceylan, A. (2017). Sermaye Piyasası ve Menkul Değerler Analizi. Bursa: Ekin Yayınevi.
  33. Kutlu, M., & Türkoğlu, D. (2021). Volatilite Endeksi (VIX) ile Borsa İstanbul Arasında Asimetrik Getiri ve Volatilite Yayılımı: Kırılgan Beşli Ülkelerin Borsa Endeksleri İle Karşılaştırmalı Bir Analiz. 24. Finans Sempozumu Bildiri Kitabı (s. 140-151). içinde Sakarya: Sakarya Uygulamalı Bilimler Üniversitesi.
  34. Kwiatkowski, D., Phillips, P., Schmidt, P., & Shin, Y. (1992). Testing The Null Hypothesis Of Stationarity Against The Alternative Of A Unit Root: How Sure Are We That Economic Time Series Have A Unit Root? Journal of Econometrics, 54(1-3), 159-178.
  35. Ljung, G., & Box, G. (1978). On a Measure Of Lack Of Fit İn Time Series Models. Biometrika, 65(2), 297-303.
  36. Lochstoer, L. A., & Tetlock, P. C. (2020). What Drives Anomaly Returns? The Journal of Finance, 75(3), 1417-1455. doi:https://doi.org/10.1111/jofi.12876
  37. Mohamed Yousop, N., Wan Zakaria, W., Ahmad, Z., Ramdhan, N., Mohd Hasan Abdullah, N., & Rusgianto, S. (2021). Lunar Effect on Stock Returns and Volatility: An Empirical Study of Islamic Countries. The Journal of Asian Finance, Economics and Business, 8(5), 533-541. doi:https://doi.org/10.13106/jafeb.2021.vol8.no5.0533
  38. Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometria, 59, 347-370.
  39. Nurleli, D., & Wibisono, M. (2021). The Effect of IFRS Application, Stock Price Volatility, and Fundamental Variables on Jakarta Islamic Index. (1, Dü.) Jurnal Manajemen Dan Keuangan, 10.
  40. Öner, H., Şarkaya İçellioğlu, C., & Öner, S. (2018). Volatilite Endeksi (VIX) ile Gelişmekte Olan Ülke Hisse Senedi Piyasası Endeksleri Arasındaki Engel-Granger Eş-Bütünleşme ve Granger Nedensellik Analiz. Finansal Araştırmalar ve Çalışmalar Dergisi, 10(18), 110-124.
  41. Özdemir, L. (2020). VIX Endeksinin BİST30 Endeks ve BİST30 Vadeli İşlem Getirisi Volatilitelerine Etkisinin EGARCH Modeli İle Karşılaştırılması. Journal of Yasar University, 15(59), 534-543.
  42. Phillips, P., & Perron, P. (1988). Testing For A Unit Root in Time Series Regression. Biometrika, 75(2), 335-346.
  43. Sarwar, G. (2012). Is Vıx An Investor Fear Gauge in Brıc Equity Markets? Journal of Multinational Financial Management, 22, 55-65.
  44. Şener, U. (2015). Beklenen Fayda Yaklaşımı ve Sistematik İhlalleri. İstanbul Aydın Üniversitesi Dergisi, 27, 37-68.
  45. Tanjung, H. (2014). Volatility of Jakarta islamic index. Al-Iqtishad: Jurnal Ilmu Ekonomi Syariah, 6(2), 207-222.
  46. Tsai, H., & Gu, Z. (2006). A Preliminary Examination of the Relationship Between the Stock Market and Casino Gaming. Journal of Travel & Tourism Marketing, 20(2), 63-73.
  47. Tversky, A., & Thaler, R. H. (1990). Anomalies. 4(2), 201-211.
  48. Wang, P. (2008). Financial Econometrics (2. b.). Routledge.
  49. Zheng, T., Farrish, J., & Kitterlin, M. (2016). Performance Trends of Hotels And Casino Hotels Through The Recession: An ARIMA With Intervention Analysis of Stock Indices. Journal of Hospitality Marketing & Management, 25(1), 49-68.