Responses to global financial standards in emerging markets: Regulatory neoliberalism and the Basel II Capital Accord

Author(s):  
Farzad Haider Alvi ◽  
Peter J. Williamson
Keyword(s):  
2007 ◽  
Vol 31 (2) ◽  
pp. 401-418 ◽  
Author(s):  
Thilo Liebig ◽  
Daniel Porath ◽  
Beatrice Weder ◽  
Michael Wedow

Author(s):  
Wafa Snoussi ◽  
Azza Béjaoui

In this chapter we are interested in the impact of specific microstructure criteria of emerging markets in the financing of SMEs especially in risk measures. The main risk measurement tool is the Value-at-Risk (VaR) which is recommanded by the Basel II Committee on Banking Supervision (BCBS). The recommendations of the Basel II committee give financial institutions the freedom to develop their own Value-at-Risk model of risk measurement in order to calculate their capital requirements for financial risk. The Basel II committee recommends the use of back testing in order to validate the choice of the best method. In order to finance SMEs enterprises in emerging market we must consider the specific microstructure criteria of these emerging markets such as low liquidity, very pronounced asymmetric information, over predictability and high volatility how affects the risk estimation.


Author(s):  
Wafa Snoussi ◽  
Azza Béjaoui

In this chapter we are interested in the impact of specific microstructure criteria of emerging markets in the financing of SMEs especially in risk measures. The main risk measurement tool is the Value-at-Risk (VaR) which is recommanded by the Basel II Committee on Banking Supervision (BCBS). The recommendations of the Basel II committee give financial institutions the freedom to develop their own Value-at-Risk model of risk measurement in order to calculate their capital requirements for financial risk. The Basel II committee recommends the use of back testing in order to validate the choice of the best method. In order to finance SMEs enterprises in emerging market we must consider the specific microstructure criteria of these emerging markets such as low liquidity, very pronounced asymmetric information, over predictability and high volatility how affects the risk estimation.


2004 ◽  
Author(s):  
Thilo Liebig ◽  
Daniel Porath ◽  
Beatrice Weder di Mauro ◽  
Michael Wedow

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