International Encyclopedia of Statistical Science

2011 Edition
| Editors: Miodrag Lovric

Banking, Statistics in

  • Héctor Manuel Zárate Solano
Reference work entry

Statistics in banking is becoming increasingly important to the extent that modern banking at all levels would be impossible without the application of statistical methods (Hand 2006, p. 361). Particularly the financial crisis has underlined the importance of high quality and timely data to the banking sector. Indeed, “information shortages – directly related to a lack of timely and accurate data – with regard to complex credit derivatives lie at the heart of the current crisis and have complicated the crisis management efforts of central banks around the world.” (Current challenges and the Future of Central Bank Statistics).

According to the Monetary and Financial Statistics (International Monetary Fund 2000), the banking sector consists of all resident corporations mainly engaged in financial intermediation in any given economy. These corporations consist of the central bank which is the national financial institution with the principal responsibility of ensuring monetary stability...

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References and Further Reading

  1. Bangura SAF (2005) Statistical information and the banking sector. In: Fourth meeting of the committee on development of information. United Nations Conference centre, Addis Ababa, EthiopiaGoogle Scholar
  2. Bolton RJ, Hand DJ (2002) Statistical fraud detection: a review. Stat Sci 17(3):235–255zbMATHMathSciNetGoogle Scholar
  3. Current challenges and the future of central bank statistics.—st.pdf
  4. Hand DJ (2006) Statistics in banking. In: Encyclopedia of statistical sciences, 2nd edn., vol 1. Wiley, Hoboken, p 361Google Scholar
  5. Hand DJ (2007) Statistical techniques for fraud detection, prevention, and evaluation, video lecture.
  6. Hand DJ (2010) Fraud detection in telecommunications and banking: discussion of Becker, Volinsky, and Wilks (2010) and Sudjianto et al. Technometrics 52:34–38MathSciNetGoogle Scholar
  7. International Monetary Fund (2000) Monetary and financial statistics manual. IMF, WashingtonGoogle Scholar
  8. Sudjianto A, Nair S, Yuan M, Zhang A, Kern D, Cela-Díaz F (2010) Statistical methods for fighting financial crimes. Technometrics 52:5–19MathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Héctor Manuel Zárate Solano
    • 1
  1. 1.Universidad Nacional de ColombiaBanco de la República BogotáColombia