New AIJER now accepts submissions exclusively via the Editorial Scholar portal — a dedicated submission & review system.
Go to Editorial Scholar →
Associated Management Consultants Pvt. Ltd. | COPE Member
UGC-CARE Group I Google Scholar |
Arthshastra Indian Journal of Economics & Research logo

Arthshastra Indian Journal of Economics & Research

ISSN: 2278-1811 Frequency: Quarterly Peer Review: Double-blind Published since: 2012 Language: English
A publication of AMCPL
amcon.co.in
New Delhi, India
Indexed in: UGC-CARE Group I Google Scholar J-Gate

Effects of Key Financial Markets’ Infrastructure on Cash and Liquidity Management of Banks in India

Open Access Original Article

Effects of Key Financial Markets’ Infrastructure on Cash and Liquidity Management of Banks in India

Sasanka Sekhar Maiti1,  N. Hemachandra2

1 Director, Reserve Bank of India, Department of Statistics and Information Management, C-8 7th Floor, Bandra Kurla Complex, Bandra East, Mumbai - 400 051

2 Professor - Industrial Engineering and Operations Research, Indian Institute of Technology Bombay, Powai, Mumbai - 400 076

Volume 7
Issue 4
Pages 47–55
Year 2018
Received: Dec. 19, 2017 Accepted: Aug. 20, 2018 Published: Aug. 1, 2018
Abstract

The article examined the effect of introduction of the Real Time Gross Settlement System (RTGS) on banks' cash requirements (viz. cash with banks) and liquidity requirements of banks (banker deposits) with the RBI. The empirical results indicated that the introduction of the RTGS system reduced cash requirements of banks significantly due to adoption of centralized processing systems, which facilitated better cash management for banks. However, at the same time, liquidity requirements of banks with the RBI increased on introduction of the RTGS, which did not grow with time, though more amount was settled in the RTGS. Demonetization resulted in huge cash requirements for banks, but it did not impact liquidity requirements of banks with the RBI.

Keywords Payment Systems Real Time Gross Settlement Cash With Banks Bankers Deposit Intra-day Liquidity
How to Cite

Sasanka Sekhar Maiti, N. Hemachandra (2018). Effects of Key Financial Markets’ Infrastructure on Cash and Liquidity Management of Banks in India. Arthshastra Indian Journal of Economics & Research, 7(4), 47–55. https://doi.org/10.17010/aijer/2018/v7i4/131662

References
  1. Berger, A. N., Hancock, D., & Marquardt, J. C. (1996). A framework for analyzing efficiency, risks, costs, and innovations in the payments system. Journal of Money, Credit and Banking, 28(4)(Part 2 : Payment Systems Research and Public Policy Risk, Efficiency, and Innovation), 696 -732.
  2. Chambers, J. M. (1992). Linear models. In J. M. Chambers & T. J. Hastie (eds.), Chapter 4 of statistical models. California : Wadsworth & Brooks/Cole.
  3. Diamond, D. W., & Rajan, R. G. (2006). Money in a theory of banking. American Economic Review, 96 (1), 30 - 53.
  4. Merrouche, O., & Nier, E. (2012). Payment systems, inside money and financial intermediation. Journal of Financial Intermediation, 21(3), 359 - 382.
  5. Reserve Bank of India. (n.d. a.). Overview of payment and settlement systems. Retrieved from <a href=https://www.rbi.org.in/scripts/FS_Overview.aspx?fn=9 target="_blank">https://www.rbi.org.in/scripts/FS_Overview.aspx?fn=9</a>
  6. Reserve Bank of India. (n.d.b.). Data warehouse, database on Indian economy (Monthly bulletin and handbook of statistics). Retrieved from <a href=https://dbie.rbi.org.in/DBIE/dbie.rbi?site=home target="_blank">https://dbie.rbi.org.in/DBIE/dbie.rbi?site=home</a>
  7. Reserve Bank of India. (2002). Annual report of the Reserve Bank of India for the Year 2001-02, Chapter XIII - Payment and settlement systems. Retrieved from <a href=https://www.rbi.org.in/scripts/AnnualReportPublications.aspx?Id=260 target="_blank">https://www.rbi.org.in/scripts/AnnualReportPublications.aspx?Id=260</a>
  8. Thore, S., & Eriksen, I. B. (1973). Payment clearing networks. The Swedish Journal of Economics, 75 (2), 143 -163.
  9. Wilkinson, G. N., & Rogers, C. E. (1973). Symbolic descriptions of factorial models for analysis of variance. Applied Statistics, 22, 392 - 399.
Editorial Scholar

Submit your Research to AIJER

Submit your Manuscript → Author Guidelines