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Risk Regulation in Brazil: A General Equilibrium Model

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  • Araújo, Aloísio Pessoa
  • Vicente, José Valentim M.

Abstract

In the last few years, regulating agencies of many countries, following recommendations of the Basel Committee on Banking Supervision, have compelled financial institutions to maintain minimum capital requirements to cover market and credit risks. The capital charge to cover market risk is a function of a metric known as Value-at-Risk (VaR). This paper investigates the consequences of such practices on prices, volatilities and bankruptcy probability by considering two features of the Brazilian framework: variable risk constraint multiplier and heterogeneous beliefs between financial institutions and regulating agencies.

Suggested Citation

  • Araújo, Aloísio Pessoa & Vicente, José Valentim M., 2006. "Risk Regulation in Brazil: A General Equilibrium Model," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 26(1), May.
    • Handle: RePEc:sbe:breart:v:26:y:2006:i:1:a:2496
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    1. Danielsson, Jon & Shin, Hyun Song & Zigrand, Jean-Pierre, 2004. "The impact of risk regulation on price dynamics," Journal of Banking & Finance, Elsevier, vol. 28(5), pages 1069-1087, May.
    2. Basak, Suleyman & Shapiro, Alexander, 2001. "Value-at-Risk-Based Risk Management: Optimal Policies and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 371-405.
    3. João A. C. Santos, 2000. "Bank capital regulation in contemporary banking theory: a review of the literature," BIS Working Papers 90, Bank for International Settlements.
    4. Leippold, Markus & Trojani, Fabio & Vanini, Paolo, 2006. "Equilibrium impact of value-at-risk regulation," Journal of Economic Dynamics and Control, Elsevier, vol. 30(8), pages 1277-1313, August.
    5. Acerbi, Carlo & Tasche, Dirk, 2002. "On the coherence of expected shortfall," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1487-1503, July.
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