IDEAS home Printed from https://ideas.repec.org/a/taf/apfiec/v18y2008i15p1233-1246.html
   My bibliography  Save this article

Degree of market imperfections: evidence from four Asian index futures markets

Author

Listed:
  • Janchung Wang

Abstract

The degree of market imperfections has important implications for the behaviour of stock index futures. This work extends the evidence regarding the degree of market imperfections in three ways. First, this work represents the first attempt to compare the market imperfections of four Asian index futures markets. As anticipated, the degrees of market imperfections are significantly higher in the emerging markets (Korea and Taiwan) compared to the developed markets (Japan and Hong Kong). Second, this work compares the relative performance of three alternative volatility estimators in estimating the degree of market imperfections: the bivariate error correction GARCH(1,1) model, the exponentially weighted moving average (EWMA) and the power EWMA. The comparison results provide support for the conclusion that among the volatility estimators examined, the bivariate error correction GARCH(1,1) model performs the best. Third, this work tests the stationarity of the degrees of market imperfections. The empirical results demonstrate that the degrees of market imperfections for all four Asian markets are stationary, suggesting that the estimates of the degrees of imperfections obtained from ex post data are useful to investors on an ex ante basis.

Suggested Citation

  • Janchung Wang, 2008. "Degree of market imperfections: evidence from four Asian index futures markets," Applied Financial Economics, Taylor & Francis Journals, vol. 18(15), pages 1233-1246.
    • Handle: RePEc:taf:apfiec:v:18:y:2008:i:15:p:1233-1246
    DOI: 10.1080/09603100701604241
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/09603100701604241
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09603100701604241?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jian Yang & Titus Awokuse, 2003. "Asset storability and hedging effectiveness in commodity futures markets," Applied Economics Letters, Taylor & Francis Journals, vol. 10(8), pages 487-491.
    2. Taylor, Mark P, 1989. "Covered Interest Arbitrage and Market Turbulence," Economic Journal, Royal Economic Society, vol. 99(396), pages 376-391, June.
    3. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    4. Kroner, Kenneth F. & Sultan, Jahangir, 1993. "Time-Varying Distributions and Dynamic Hedging with Foreign Currency Futures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(4), pages 535-551, December.
    5. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    6. Hsinan Hsu & Janchung Wang, 2004. "Price Expectation and the Pricing of Stock Index Futures," Review of Quantitative Finance and Accounting, Springer, vol. 23(2), pages 167-184, September.
    7. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    8. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    9. Janchung Wang & Hsinan Hsu, 2006. "Degree of market imperfection and the pricing of stock index futures," Applied Financial Economics, Taylor & Francis Journals, vol. 16(3), pages 245-258.
    10. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lin, Xiaoqiang & Chen, Qiang & Tang, Zhenpeng, 2014. "Dynamic hedging strategy in incomplete market: Evidence from Shanghai fuel oil futures market," Economic Modelling, Elsevier, vol. 40(C), pages 81-90.
    2. Zhang, Hailiang & Sattar, Muhammad Atif & Wang, Haijun, 2024. "Uncertainty measure: As a proxy for the degree of market imperfection," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 159-171.

    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. Gurmeet Singh, 2017. "Estimating Optimal Hedge Ratio and Hedging Effectiveness in the NSE Index Futures," Jindal Journal of Business Research, , vol. 6(2), pages 108-131, December.
    2. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Trinity Economics Papers tep20021, Trinity College Dublin, Department of Economics.
    3. Balaguer, Jacint & Ripollés, Jordi, 2012. "Testing for price response asymmetries in the Spanish fuel market. New evidence from daily data," Energy Economics, Elsevier, vol. 34(6), pages 2066-2071.
    4. Maparu, Tuhin Subhra & Mazumder, Tarak Nath, 2017. "Transport infrastructure, economic development and urbanization in India (1990–2011): Is there any causal relationship?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 319-336.
    5. Mao-wei Hung & Cheng-few Lee & Leh-chyan So, 2005. "Hedging with Foreign-Listed Single Stock Futures," World Scientific Book Chapters, in: Cheng-Few Lee (ed.), Advances In Quantitative Analysis Of Finance And Accounting New Series, chapter 8, pages 129-151, World Scientific Publishing Co. Pte. Ltd..
    6. Dimitrios Kartsonakis-Mademlis & Nikolaos Dritsakis, 2020. "Does the Choice of the Multivariate GARCH Model on Volatility Spillovers Matter? Evidence from Oil Prices and Stock Markets in G7 Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 164-182.
    7. Haigh, Michael S. & Bryant, Henry L., 2000. "Price And Price Risk Dynamics In Barge And Ocean Freight Markets And The Effects On Commodity Trading," 2000 Conference, April 17-18 2000, Chicago, Illinois 18934, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    8. Lin, Xiaoqiang & Chen, Qiang & Tang, Zhenpeng, 2014. "Dynamic hedging strategy in incomplete market: Evidence from Shanghai fuel oil futures market," Economic Modelling, Elsevier, vol. 40(C), pages 81-90.
    9. Abimelech Paye Gbatu & Zhen Wang & Presley K. Wesseh Jr. & Isaac Yak Repha Tutdel, 2017. "Causal Effects and Dynamic Relationship between Exchange Rate Volatility and Economic Development in Liberia," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 119-131.
    10. Sáenz Rodríguez, Estela & Sabaté Sort, Marcela & Gadea Rivas, María Dolores, 2009. "La medición del riesgo externo. Un estudio aplicado al caso español en el periodo 1960-2000/The Measurement of External Risk. An Applied Study to the Spanish Case in the Period 1960-2000," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 27, pages 575(16á)-57, Agosto.
    11. Anupam Dutta & Md Hasib Noor, 2017. "Oil and non-energy commodity markets: An empirical analysis of volatility spillovers and hedging effectiveness," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1324555-132, January.
    12. Levent, Korap, 2007. "Testing causal relationships between energy consumption, real income and prices: evidence from Turkey," MPRA Paper 21834, University Library of Munich, Germany.
    13. Tan, Bee Wah & Tang, Chor Foon, 2011. "The dynamic relationship between private domestic investment, the user cost of capital, and economic growth in Malaysia," MPRA Paper 27964, University Library of Munich, Germany.
    14. Sugra Humbatova & Afag Huseyn & Natig Gadim-Oglu Hajiyev, 2023. "Impact of Oil Factor on Investment: The Case of Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 129-148, March.
    15. Dimitrios Koutmos, 2018. "Interdependencies between CDS spreads in the European Union: Is Greece the black sheep or black swan?," Annals of Operations Research, Springer, vol. 266(1), pages 441-498, July.
    16. Sugra Ingilab Humbatova & Natig Gadim-Oglu Hajiev, 2024. "Analysis of the Main Social Macroeconomic Indicators of the Population During The oil Boom in Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 135-149, March.
    17. Estela Sáenz & María Dolores Gadea & Marcela Sabaté, 2009. "Measuring the external risk in the United Kingdom," Economics Bulletin, AccessEcon, vol. 29(2), pages 1182-1189.
    18. Dimitrios Kartsonakis-Mademlis & Nikolaos Dritsakis, 2022. "Asymmetric volatility transmission in Japanese stock market in the presence of structural breaks," The Japanese Economic Review, Springer, vol. 73(4), pages 647-677, October.
    19. Saba Charles Shaaba, 2022. "Defence Spending and Economic Growth in South Africa: Evidence from Cointegration and Co-Feature Analysis," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 28(1), pages 51-100, February.
    20. Turner, Peter A. & Lim, Siew Hoon, 2015. "Hedging jet fuel price risk: The case of U.S. passenger airlines," Journal of Air Transport Management, Elsevier, vol. 44, pages 54-64.

    More about this item

    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:taf:apfiec:v:18:y:2008:i:15:p:1233-1246. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAFE20 .

    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.