IDEAS home Printed from https://ideas.repec.org/a/vrs/seejeb/v15y2020i1p105-121n9.html
   My bibliography  Save this article

Comparison of the Effect of Vix Fear Index on Stock Exchange Indices of Developed and Developing Countries: the G20 Case

Author

Listed:
  • İskenderoglu Ömer

    (Phd, Professor, Department of Business, Nigde Ömer Halisdemir University, 5100, Nigde, Turkey)

  • Akdag Saffet

    (Phd, Assistant Professor, Department of Banking and Finance, Tarsus University)

Abstract

This study aims to examine the potential causal relationship between the VIX and the indicator stock exchange index returns of G20 (9 developed and 10 developing) countries. Nineteen countries of the sample are G20 countries with available data. In this respect, the frequency domain Granger causality test of Breitung and Candelon (2006) is employed for the daily data between March 2011 and December 2017. The results obtained from the study indicate that there is no causal relationship between the VIX and the returns of the NASDAQ 100 index in developed countries. Similarly, no causal relationship is detected which runs from the VIX to the BIST100, BOVESPA, MERVAL, S&P/BMV IPC and TADAWUL stock index returns in developing countries. As a result, the causal relationship is more tend to be found in developed countries in comparison to developing countries.

Suggested Citation

  • İskenderoglu Ömer & Akdag Saffet, 2020. "Comparison of the Effect of Vix Fear Index on Stock Exchange Indices of Developed and Developing Countries: the G20 Case," South East European Journal of Economics and Business, Sciendo, vol. 15(1), pages 105-121, June.
  • Handle: RePEc:vrs:seejeb:v:15:y:2020:i:1:p:105-121:n:9
    DOI: 10.2478/jeb-2020-0009
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/jeb-2020-0009
    Download Restriction: no

    File URL: https://libkey.io/10.2478/jeb-2020-0009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Balke, Nathan S & Fomby, Thomas B, 1997. "Threshold Cointegration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(3), pages 627-645, August.
    2. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220, National Bureau of Economic Research, Inc.
    3. Recep Bildik & Selim Elekdag, 2004. "Effects of Price Limits on Volatility: Evidence from the Istanbul Stock Exchange," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 40(1), pages 5-34, January.
    4. Bodart, Vincent & Candelon, Bertrand, 2009. "Evidence of interdependence and contagion using a frequency domain framework," Emerging Markets Review, Elsevier, vol. 10(2), pages 140-150, June.
    5. Aggarwal, Reena & Inclan, Carla & Leal, Ricardo, 1999. "Volatility in Emerging Stock Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(1), pages 33-55, March.
    6. Ciner, Cetin, 2011. "Eurocurrency interest rate linkages: A frequency domain analysis," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 498-505, October.
    7. Wei Yanfeng, 2013. "The Dynamic Relationships between Oil Prices and the Japanese Economy: A Frequency Domain Analysis," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 57-67, May.
    8. Saban Nazlioglu & Shawkat Hammoudeh & Rangan Gupta, 2015. "Volatility transmission between Islamic and conventional equity markets: evidence from causality-in-variance test," Applied Economics, Taylor & Francis Journals, vol. 47(46), pages 4996-5011, October.
    9. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    10. Turhan Korkmaz & Emrah Ismail Çevik, 2009. "Volatility Spillover Effect from Volatility Implied Index to Emerging Markets," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 3(2), pages 87-106.
    11. Robert C. Merton, 2005. "Theory of rational option pricing," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 8, pages 229-288, World Scientific Publishing Co. Pte. Ltd..
    12. Han, Heejoon & Kutan, Ali M. & Ryu, Doojin, 2015. "Effects of the US stock market return and volatility on the VKOSPI," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-34.
    13. Teng-Ching Huang & Kuei-Yuan Wang, 2017. "Investors’ Fear and Herding Behavior: Evidence from the Taiwan Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(10), pages 2259-2278, October.
    14. Massaporn Cheuathonghua & Chaiyuth Padungsaksawasdi & Pattana Boonchoo & Jittima Tongurai, 2019. "Extreme spillovers of VIX fear index to international equity markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(1), pages 1-38, March.
    15. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
    16. Qadan, Mahmoud & Kliger, Doron & Chen, Nir, 2019. "Idiosyncratic volatility, the VIX and stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 431-441.
    17. Yao, Feng & Hosoya, Yuzo, 2000. "Inference on one-way effect and evidence in Japanese macroeconomic data," Journal of Econometrics, Elsevier, vol. 98(2), pages 225-255, October.
    18. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    19. Ghulam Sarwar & Walayet Khan, 2017. "The Effect of US Stock Market Uncertainty on Emerging Market Returns," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(8), pages 1796-1811, August.
    20. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    21. Sarwar, Ghulam, 2012. "Is VIX an investor fear gauge in BRIC equity markets?," Journal of Multinational Financial Management, Elsevier, vol. 22(3), pages 55-65.
    22. Chen, Jian & Jiang, Fuwei & Liu, Yangshu & Tu, Jun, 2017. "International volatility risk and Chinese stock return predictability," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 183-203.
    23. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    24. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Saffet Akdag & Ömer İskenderoglu & Andrew Adewale Alola, 2020. "The volatility spillover effects among risk appetite indexes: insight from the VIX and the rise," Letters in Spatial and Resource Sciences, Springer, vol. 13(1), pages 49-65, April.
    2. Saffet Akdağ & İlker Kiliç & Hakan Yildirim, 2019. "Does VIX scare stocks of tourism companies?," Letters in Spatial and Resource Sciences, Springer, vol. 12(3), pages 215-232, December.
    3. Saffet AKDAĞ & Ali DERAN & Ömer İSKENDEROĞLU, 2020. "Is PMI a Leading Indicator: Case of TurkeyAbstract: In this study, the causal relationships of the Purchasing Managers Index (PMI) with various financial factors are examined. As a result of the analy," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(45).
    4. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, August.
    5. Gradojevic, Nikola & Lento, Camillo, 2015. "Multiscale analysis of foreign exchange order flows and technical trading profitability," Economic Modelling, Elsevier, vol. 47(C), pages 156-165.
    6. Tang, Chor Foon, 2008. "A re-examination of the relationship between electricity consumption and economic growth in Malaysia," Energy Policy, Elsevier, vol. 36(8), pages 3067-3075, August.
    7. Dicle, Mehmet F. & Levendis, John, 2020. "Historic risk and implied volatility," Global Finance Journal, Elsevier, vol. 45(C).
    8. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Interpreting euro area inflation at high and low frequencies," European Economic Review, Elsevier, vol. 52(6), pages 964-986, August.
    9. Wei, Yanfeng & Guo, Xiaoying, 2016. "An empirical analysis of the relationship between oil prices and the Chinese macro-economy," Energy Economics, Elsevier, vol. 56(C), pages 88-100.
    10. Sinha, Dipendra, 2002. "Saving-investment relationships for Japan and other Asian countries," Japan and the World Economy, Elsevier, vol. 14(1), pages 1-23, January.
    11. Emrah İ. Çevik & Erdal Atukeren & Turhan Korkmaz, 2019. "Trade Openness and Economic Growth in Turkey: A Rolling Frequency Domain Analysis," Economies, MDPI, vol. 7(2), pages 1-16, May.
    12. Wei Yanfeng, 2013. "The Dynamic Relationships between Oil Prices and the Japanese Economy: A Frequency Domain Analysis," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 57-67, May.
    13. René Garcia & Richard Luger & Eric Renault, 2000. "Asymmetric Smiles, Leverage Effects and Structural Parameters," Working Papers 2000-57, Center for Research in Economics and Statistics.
    14. Bashiri Behmiri, Niaz & Pires Manso, José R., 2012. "Does Portuguese economy support crude oil conservation hypothesis?," Energy Policy, Elsevier, vol. 45(C), pages 628-634.
    15. Ciner, Cetin, 2011. "Eurocurrency interest rate linkages: A frequency domain analysis," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 498-505, October.
    16. repec:ebl:ecbull:v:7:y:2006:i:4:p:1-7 is not listed on IDEAS
    17. Robert A. Amano & Simon van Norden, 1995. "Unit Root Tests and the Burden of Proof," Econometrics 9502005, University Library of Munich, Germany.
    18. Tiwari, Aviral Kumar, 2012. "An empirical investigation of causality between producers' price and consumers' price indices in Australia in frequency domain," Economic Modelling, Elsevier, vol. 29(5), pages 1571-1578.
    19. Bertrand Candelon & Sessi Tokpavi, 2016. "A Nonparametric Test for Granger Causality in Distribution With Application to Financial Contagion," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 240-253, April.
    20. Tang, Chor Foon, 2011. "Tourism, real output and real effective exchange rate in Malaysia: a view from rolling sub-samples," MPRA Paper 29379, University Library of Munich, Germany.
    21. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.

    More about this item

    Keywords

    Risk Appetite; Frequency Domain Causality; Stock Exchange Indexes;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:seejeb:v:15:y:2020:i:1:p:105-121:n:9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.