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Risk Analytics:From Concept to Deployment

Author

Listed:
  • Edward H K Ng

    (Singapore Management University, Singapore)

Abstract

This book is written to empower risk professionals to turn analytics and models into deployable solutions with minimal IT intervention. Corporations, especially financial institutions, must show evidence of having quantified credit, market and operational risks. They have databases but automating the process to translate data into risk parameters remains a desire.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Edward H K Ng, 2021. "Risk Analytics:From Concept to Deployment," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 12326, January.
    • Handle: RePEc:wsi:wsbook:12326
    as

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    File URL: https://www.worldscientific.com/worldscibooks/10.1142/12326
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    Citations

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    Cited by:

    1. Fanzo, Jessica & Haddad, Lawrence & Schneider, Kate R. & Béné, Christophe & Covic, Namukolo M. & Guarin, Alejandro & Herforth, Anna W. & Herrero, Mario & Sumaila, U. Rashid & Aburto, Nancy J. & Amuyun, 2021. "Viewpoint: Rigorous monitoring is necessary to guide food system transformation in the countdown to the 2030 global goals," Food Policy, Elsevier, vol. 104(C).

    Book Chapters

    The following chapters of this book are listed in IDEAS

    More about this item

    Keywords

    Risk; Modeling; Basel II; Quantification; Data Management; Data Integration; Decision Support; Online Analytical Programming;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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