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Low-dimensional Characterisation of Liquidity of Individual Stocks in the Indian Market

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  • Devlina Chatterjee

    (Devlina Chatterjee (corresponding author), Assistant Professor, Industrial and Management Engineering, IIT Kanpur, Kanpur, India. Address: IME Department, IIT Kanpur Campus, Kanpur 208016, India. Previous address for DC: Department of Management Studies, IISC, Bangalore, India. E-mail: devlina100@gmail.com)

  • Chiranjit Mukhopadhyay

    (Chiranjit Mukhopadhyay, Professor, Department of Management Studies, Indian Institute of Science, Bangalore, India. E-mail: cm@mgmt.iisc.ernet.in)

Abstract

There is no single, definitive and universally accepted measure of a stock’s ‘liquidity’. The literature proposes a large number of proxy measures for liquidity. Suitable low dimensional characterisation of liquidity may improve understanding and enable better market regulation. We present factor analyses of stock-specific liquidity measures, using cross-sectional data from the National Stock Exchange of India, for two time periods reflecting different market conditions. Day-wise analyses of eleven liquidity proxies suggest five factors, interpretable as spread, depth, volume, price elasticity and relative activity. Consistency in the results obtained from the two periods suggests that the factor structure is stable. JEL Classification: G11, C38

Suggested Citation

  • Devlina Chatterjee & Chiranjit Mukhopadhyay, 2013. "Low-dimensional Characterisation of Liquidity of Individual Stocks in the Indian Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 12(2), pages 151-196, August.
  • Handle: RePEc:sae:emffin:v:12:y:2013:i:2:p:151-196
    DOI: 10.1177/0972652713494044
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    References listed on IDEAS

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    More about this item

    Keywords

    Liquidity; stock market; factor analysis; National Stock Exchange of India;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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