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What Explains Call Money Rate Spread in India?

Author

Listed:
  • Sunil Kumar
  • Anand Prakash
  • Krishna M. Kushawaha

Abstract

The study focuses on various drivers of overnight inter-bank rate spread under the new liquidity management framework during July 2013 to December 2016. Applying OLS with Newey-West estimator and various GARCH models to daily data, the study finds that liquidity conditions, viz., deficit, distribution and uncertainty impact the call money rate spread adversely. A moderation in the impact of liquidity uncertainty has, however, been noticed after the introduction of fine-tuning liquidity management operations in September 2014. Other factors, viz., the quarter-end phenomenon and structural changes in the liquidity management framework have also been found impacting the call money rate spread.

Suggested Citation

  • Sunil Kumar & Anand Prakash & Krishna M. Kushawaha, 2017. "What Explains Call Money Rate Spread in India?," Working Papers id:11975, eSocialSciences.
    • Handle: RePEc:ess:wpaper:id:11975
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