IDEAS home Printed from https://ideas.repec.org/a/sae/globus/v16y2015i3p511-523.html
   My bibliography  Save this article

Assessing Market Risk of Indian Index Funds

Author

Listed:
  • Suparna Biswas
  • Santanu Dutta

Abstract

An index fund is a mutual fund that aims to imitate a benchmark index. In India, there has been significant growth in the number of such funds since 2002. These funds are exposed mainly to market risk. The assessment and comparison of the market risk and the risk-adjusted returns of these funds are topics of interest to both researchers and investors. Value-at-risk and expected shortfall are well-known measures of the market risk. The Sharpe ratio and the Treynor ratio measure risk-adjusted return earned in excess of average market return. For each fund, we estimate these measures. Most of the index funds exhibit similar market risk as the NIFTY or the SENSEX index, which they mimic. Moreover, the market risk of these funds seems to be unaffected by multiple-fund management by the respective fund managers. However, there exist significant differences among the risk-adjusted daily returns, earned in excess of the average daily index return, of the various Indian index funds. Ideally, an index fund is expected to exhibit similar risk and risk-adjusted return as the benchmark index. We identify some such Indian index funds.

Suggested Citation

  • Suparna Biswas & Santanu Dutta, 2015. "Assessing Market Risk of Indian Index Funds," Global Business Review, International Management Institute, vol. 16(3), pages 511-523, June.
  • Handle: RePEc:sae:globus:v:16:y:2015:i:3:p:511-523
    DOI: 10.1177/0069966715569938
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0069966715569938
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0069966715569938?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. 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.
    2. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    3. repec:pri:cepsud:91malkiel is not listed on IDEAS
    4. Song Xi Chen, 2008. "Nonparametric Estimation of Expected Shortfall," Journal of Financial Econometrics, Oxford University Press, vol. 6(1), pages 87-107, Winter.
    5. Jon Danielsson & Casper G. De Vries, 2000. "Value-at-Risk and Extreme Returns," Annals of Economics and Statistics, GENES, issue 60, pages 239-270.
    6. Song Xi Chen, 2005. "Nonparametric Inference of Value-at-Risk for Dependent Financial Returns," Journal of Financial Econometrics, Oxford University Press, vol. 3(2), pages 227-255.
    7. repec:adr:anecst:y:2000:i:60:p:10 is not listed on IDEAS
    8. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    9. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    10. Bryant, Lonnie L. & Liu, Hao-Chen, 2011. "Mutual fund industry management structure, risk and the impacts to shareholders," Global Finance Journal, Elsevier, vol. 22(2), pages 101-115.
    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. M. V. Shivaani, 2018. "Does Regulatory Flexibility Affect Risk Disclosures in Annual Report?," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(4), pages 321-336, December.

    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. Mallory, Mindy L. & Irwin, Scott H. & Hayes, Dermot J., 2012. "How market efficiency and the theory of storage link corn and ethanol markets," Energy Economics, Elsevier, vol. 34(6), pages 2157-2166.
    2. Abdelbari El Khamlichi & Kabir Sarkar Humayun & Mohamed Arouri & Frédéric Teulon, 2014. "Are Islamic equity indices more efficient than their conventional counterparts ? Evidence from major global index families," Working Papers 2014-91, Department of Research, Ipag Business School.
    3. Baker, Mindy Lyn, 2009. "Three essays concerning agriculture and energy," ISU General Staff Papers 200901010800001849, Iowa State University, Department of Economics.
    4. Marianna Brunetti & Roberta De Luca, 2023. "Pairs trading in the index options market," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 145-173, March.
    5. Daouda Lawa Tan Toe & Mamadou Toe & Tibi Didier Zoungrana, 2023. "Investigating the weak and semi-strong forms of Informational Efficiency on the West African Economic and Monetary Union’s Stock Exchange (BRVM) through returns predictability tests," SN Business & Economics, Springer, vol. 3(9), pages 1-27, September.
    6. repec:ipg:wpaper:2014-091 is not listed on IDEAS
    7. Narayan, Seema & Smyth, Russell, 2015. "The financial econometrics of price discovery and predictability," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 380-393.
    8. Kwangmin Jung & Donggyu Kim & Seunghyeon Yu, 2022. "Next generation models for portfolio risk management: An approach using financial big data," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(3), pages 765-787, September.
    9. Troug, Haytem Ahmed & Murray, Matt, 2015. "Quantitative Easing in Japan and the UK An Econometric Evaluation of the Impacts of Unconventional Monetary Policy on the Returns of Aggregate Output and Price Levels," MPRA Paper 68707, University Library of Munich, Germany.
    10. David M. Ritzwoller & Joseph P. Romano, 2019. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," Papers 1908.01406, arXiv.org, revised Apr 2021.
    11. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Risks, MDPI, vol. 6(4), pages 1-18, September.
    12. Bell, Peter N, 2013. "New Testing Procedures to Assess Market Efficiency with Trading Rules," MPRA Paper 46701, University Library of Munich, Germany.
    13. Jitka Veselá & Alžběta Zíková, 2022. "Are the Czech, Polish, German and Dutch markets taking a random walk? [Konají český, polský, německý a nizozemský trh náhodnou procházku?]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2022(2), pages 19-38.
    14. Muchnik, Lev & Bunde, Armin & Havlin, Shlomo, 2009. "Long term memory in extreme returns of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4145-4150.
    15. Nathan Jensen, 2007. "International institutions and market expectations: Stock price responses to the WTO ruling on the 2002 U.S. steel tariffs," The Review of International Organizations, Springer, vol. 2(3), pages 261-280, September.
    16. Ishani Chaudhuri & Parthajit Kayal, 2022. "Predicting Power of Ticker Search Volume in Indian Stock Market," Working Papers 2022-214, Madras School of Economics,Chennai,India.
    17. Ghada A. Altarawneh & Ahmad B. Hassanat & Ahmad S. Tarawneh & Ahmad Abadleh & Malek Alrashidi & Mansoor Alghamdi, 2022. "Stock Price Forecasting for Jordan Insurance Companies Amid the COVID-19 Pandemic Utilizing Off-the-Shelf Technical Analysis Methods," Economies, MDPI, vol. 10(2), pages 1-18, February.
    18. John Sabelhaus, 2005. "Alternative Methods for Projecting Equity Returns: Implications for Evaluating Social Security Reform Proposals," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 8(1), pages 43-63, March.
    19. Cristi Spulbar & Ramona Birau & Lucian Florin Spulbar, 2021. "A Critical Survey on Efficient Market Hypothesis (EMH), Adaptive Market Hypothesis (AMH) and Fractal Markets Hypothesis (FMH) Considering Their Implication on Stock Markets Behavior," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 1161-1165, December.
    20. Stephen Bell & John Quiggin, 2006. "Asset Price Instability and Policy Responses: The Legacy of Liberalization," Journal of Economic Issues, Taylor & Francis Journals, vol. 40(3), pages 629-649, September.
    21. Paolo Cremonesi & Chiara Francalanci & Alessandro Poli & Roberto Pagano & Luca Mazzoni & Alberto Maggioni & Mehdi Elahi, 2018. "Social Network based Short-Term Stock Trading System," Papers 1801.05295, arXiv.org.

    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:sae:globus:v:16:y:2015:i:3:p:511-523. 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: SAGE Publications (email available below). General contact details of provider: http://www.imi.edu/ .

    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.