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Evaluating alternative performance benchmarks for Indian mutual fund industry

Author

Listed:
  • Sanjay Sehgal
  • Sonal Babbar

Abstract

Purpose - The purpose of this paper is to perform a relative assessment of performance benchmarks based on alternative asset pricing models to evaluate performance of mutual funds and suggest the best approach in Indian context. Design/methodology/approach - Sample of 237 open-ended Indian equity (growth) schemes from April 2003 to March 2013 is used. Both unconditional and conditional versions of eight performance models are employed, namely, Jensen (1968) measure, three-moment asset pricing model, four-moment asset pricing model, Fama and French (1993) three-factor model, Carhart (1997) four-factor model, Eltonet al.(1999) five-index model, Fama and French (2015) five-factor model and firm quality five-factor model. Findings - Conditional version of Carhart (1997) model is found to be the most appropriate performance benchmark in the Indian context. Success of conditional models over unconditional models highlights that fund managers dynamically manage their portfolios. Practical implications - A significantαgenerated over and above the return estimated using Carhart’s (1997) model reflects true stock-picking skills of fund managers and it is, therefore, worth paying an active management fee. Stock exchanges and credit rating agencies in India should construct indices incorporating size, value and momentum factors to be used for purpose of benchmarking. Originality/value - The study adds new evidence as to applicability of established asset pricing models as performance benchmarks in emerging market India. It examines role of higher order moments in explaining mutual fund returns which is an under researched area.

Suggested Citation

  • Sanjay Sehgal & Sonal Babbar, 2017. "Evaluating alternative performance benchmarks for Indian mutual fund industry," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 14(2), pages 222-250, May.
  • Handle: RePEc:eme:jamrpp:jamr-04-2016-0028
    DOI: 10.1108/JAMR-04-2016-0028
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    Citations

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    Cited by:

    1. Sonal Babbar & Sanjay Sehgal, 2018. "Mutual Fund Characteristics and Investment Performance in India," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 43(1-2), pages 1-30, February.
    2. Artur A. Trzebiński, 2022. "Assessing the performance of mutual funds with multifactor asset pricing models," Bank i Kredyt, Narodowy Bank Polski, vol. 53(1), pages 79-106.
    3. Narander Kumar Nigam & C. P. Gupta, 2021. "Correlation-based Diversification and Firm Performance: An Empirical Investigation of India," Global Business Review, International Management Institute, vol. 22(2), pages 442-458, April.
    4. Veeravel. V & A. Balakrishnan, 2023. "Persistence of Large-Cap Equity Funds performance, market timing ability, and selectivity: evidence from India," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 37-48, March.

    More about this item

    Keywords

    Mutual funds; Asset pricing; Conditional measures; Higher order moments; Performance benchmarks; G12; G23; C12; C32; C52;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • 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
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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