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Relationship Banking and the Credit Market in India

Author

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  • Dilip M. Nachane

    (Dilip M. Nachane (the communicating author) is Director, Indira Gandhi Institute of Development Research (IGIDR), Gen. Arun Kumar Vaidya Marg, Goregaon (East), Mumbai 400065. Tel.: 91-22-28416501/66, Fax: 91-22-28402752/2026; e-mail: nachane@igidr.ac.in)

  • Prasad P. Ranade

    (Prasad P. Ranade is Associate Professor, Narsee Monjee Institute of Management Studies (NMIMS), JVPD Scheme, Vile Parle (West), Mumbai 400056. Tel.: 91-22-26183688, Fax: 91-22-226114512; e-mail: p_ranade@iname.com)

Abstract

Relationship banking based on Okun’s ‘customer credit markets’ has important implications for monetary policy via the credit transmission channel. Studies of less-developed country (LDC) credit markets from this point of view seem to be scanty and this article attempts to address this lacuna. Relationship banking implies short-term dis-equilibrium in credit markets, suggesting the vector error-correction model (VECM) as an appropriate framework for analysis. We develop VECM models in the Indian context (for the period April 1992–December 2008 using monthly data) to analyse salient features of the credit market. An analysis of the error-correction mechanisms (ECMs ) reveals that disequilibrium in the Indian credit market is adjusted via demand responses rather than supply responses, which are in accordance with the customer view of credit markets. Further light on the working of the model is obtained through ‘generalised’ impulse responses and ‘generalised’ error decompositions (both of which are independent of the variable ordering). Our conclusions point towards firms using short-term credit as a liquidity buffer. This fact, together with the gradual adjustment exhibited by the ‘persistence profiles’ provides substantive evidence in favour of ‘customer credit markets’.

Suggested Citation

  • Dilip M. Nachane & Prasad P. Ranade, 2010. "Relationship Banking and the Credit Market in India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 4(1), pages 1-23, January.
  • Handle: RePEc:sae:mareco:v:4:y:2010:i:1:p:1-23
    DOI: 10.1177/097380100900400101
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    References listed on IDEAS

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    More about this item

    Keywords

    Customer Credit Markets; Monetary Policy; Cointegration; Impulse Response; Persistence Profiles; JEL Classification: C32; JEL Classification: E51;
    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
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

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