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Handbook of Financial Data and Risk Information I

Editor

Listed:
  • Brose,Margarita S.
  • Flood,Mark D.
  • Krishna,Dilip
  • Nichols,Bill
Abstract
Risk has always been central to finance, and managing risk depends critically on information. As evidenced by recent events, the need has never been greater for skills, systems and methodologies to manage risk information in financial markets. Authored by leading figures in risk management and analysis, this handbook serves as a unique and comprehensive reference for the technical, operational, regulatory and political issues in collecting, measuring and managing financial data. It will appeal to a wide range of audiences, from financial industry practitioners and regulators responsible for implementing risk management systems, to system integrators and software firms helping to improve such systems. Volume I examines the business and regulatory context that makes risk information so important. A vast set of techniques and processes have grown up over time, and without an understanding of the broader forces at work, it is all too easy to get lost in the details.

Suggested Citation

  • Brose,Margarita S. & Flood,Mark D. & Krishna,Dilip & Nichols,Bill (ed.), 2014. "Handbook of Financial Data and Risk Information I," Cambridge Books, Cambridge University Press, number 9781107012011, September.
    • Handle: RePEc:cup:cbooks:9781107012011
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    Citations

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    Cited by:

    1. Office of Financial Research (ed.), 2015. "2015 Financial Stability Report," Reports, Office of Financial Research, US Department of the Treasury, number 15-1, May.
    2. Thomas Puschmann & Christian Hugo Hoffmann & Valentyn Khmarskyi, 2020. "How Green FinTech Can Alleviate the Impact of Climate Change—The Case of Switzerland," Sustainability, MDPI, vol. 12(24), pages 1-30, December.
    3. Jingnan Chen & Mark D. Flood & Richard B. Sowers, 2017. "Measuring the unmeasurable: an application of uncertainty quantification to Treasury bond portfolios," Quantitative Finance, Taylor & Francis Journals, vol. 17(10), pages 1491-1507, October.
    4. Flood, M. D. & Jagadish, H. V. & Raschid, L., 2016. "Big data challenges and opportunities in financial stability monitoring," Financial Stability Review, Banque de France, issue 20, pages 129-142, April.
    5. Flood, Mark D. & Lemieux, Victoria L. & Varga, Margaret & William Wong, B.L., 2016. "The application of visual analytics to financial stability monitoring," Journal of Financial Stability, Elsevier, vol. 27(C), pages 180-197.
    6. Per Nymand-Andersen, 2016. "Big data: the hunt for timely insights and decision certainty," IFC Working Papers 14, Bank for International Settlements.
    7. Christian Hugo Hoffmann & Charles Djordjevic, 2020. "Complexity, Power Laws and a Humean Argument in Risk Management: The Fundamental Inadequacy of Probability Theory as a Foundation for Modeling Complex Risk in Banking," Homo Oeconomicus: Journal of Behavioral and Institutional Economics, Springer, vol. 37(3), pages 155-182, December.
    8. Christoffer Koch & Gary Richardson & Patrick Van Horn, 2020. "Countercyclical Capital Buffers: A Cautionary Tale," NBER Working Papers 26710, National Bureau of Economic Research, Inc.
    9. Dongping Xie & Mary Eschelbach Hansen, 2020. "Supply of bank loans and business debts: A view from historical bankruptcy cases," Review of Financial Economics, John Wiley & Sons, vol. 38(S1), pages 170-187, March.
    10. Jingnan Chen & Mark D. Flood & Richard B. Sowers, 2015. "Measuring the Unmeasurable: An Application of Uncertainty Quantification to Financial Portfolios," Working Papers 15-19, Office of Financial Research, US Department of the Treasury.

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