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The Present and Future of Financial Risk Management

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  • Carol Alexander

Abstract

Current research on financial risk management applications of econometrics centers on the accurate assessment of individual market and credit risks with relatively little theoretical or applied econometric research on other types of risk, aggregation risk, data incompleteness, and optimal risk control. We argue that consideration of the model risk arising from crude aggregation rules and inadequate data could lead to a new class of reduced-form Bayesian risk assessment models. Logically, these models should be set within a common factor framework that allows proper risk aggregation methods to be developed. We explain how such a framework could also provide the essential links between risk control, risk assessments, and the optimal allocation of resources. Copyright 2005, Oxford University Press.

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File URL: http://hdl.handle.net/10.1093/jjfinec/nbi003
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Bibliographic Info

Article provided by Society for Financial Econometrics in its journal Journal of Financial Econometrics.

Volume (Year): 3 (2005)
Issue (Month): 1 ()
Pages: 3-25

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Handle: RePEc:oup:jfinec:v:3:y:2005:i:1:p:3-25

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Cited by:
  1. Schlegel, Friederike & Hakenes, Hendrik, 2013. "Model Risk - an Agency Theoretic Approach," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79954, Verein für Socialpolitik / German Economic Association.
  2. Anastassios A. Drakos & Georgios P. Kouretas & Leonidas P. Zarangas, 2010. "Forecasting financial volatility of the Athens stock exchange daily returns: an application of the asymmetric normal mixture GARCH model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 331-350.
  3. Puustelli, Anne & Koskinen, Lasse & Luoma, Arto, 2008. "Bayesian modelling of financial guarantee insurance," Insurance: Mathematics and Economics, Elsevier, vol. 43(2), pages 245-254, October.
  4. Imola Driga, 2012. "Financial Risks Analysis For A Commercial Bank In The Romanian Banking System," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(14), pages 14.
  5. Sibbertsen, Philipp & Stahl, Gerhard & Luedtke, Corinna, 2008. "Measuring Model Risk," Hannover Economic Papers (HEP) dp-409, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  6. George Kouretas & Leonidas Zarangas, 2005. "Conditional autoregressive valu at risk by regression quantile: Estimatingmarket risk for major stock markets," Working Papers 0521, University of Crete, Department of Economics.
  7. Diamandis, Panayiotis F. & Drakos, Anastassios A. & Kouretas, Georgios P. & Zarangas, Leonidas, 2011. "Value-at-risk for long and short trading positions: Evidence from developed and emerging equity markets," International Review of Financial Analysis, Elsevier, vol. 20(3), pages 165-176, June.

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