Under this approach the banks are allowed to develop their own empirical model to quantify required capital for credit risk. Banks can use this approach only subject to approval from their local regulators.
Some credit assessments in standardised approach refer to unrated assessment. Basel II also encourages banks to initiate internal ratings-based approach for measuring credit risks. Banks are expected to be more capable of adopting more sophisticated techniques in credit risk management.
Banks can determine their own estimation for some components of risk measure: the probability of default (PD), loss given default (LGD), exposure at default (EAD) and effective maturity (M). For public companies, default probabilities are commonly estimated using either the "structural model" of credit risk proposed by Robert Merton (1974) or reduced form models like the Jarrow–Turnbull model. For retail and unlisted company exposures, default probabilities are estimated using credit scoring or logistic regression, both of which are closely linked to the reduced form approach.
The goal is to define risk weights by determining the cut-off points between and within areas of the expected loss (EL) and the unexpected loss (UL), where the regulatory capital should be held, in the probability of default. Then, the risk weights for individual exposures are calculated based on the function provided by Basel II.
Below are the formulae for some banks' major products: corporate, small-medium enterprise (SME), residential mortgage and qualifying revolving retail exposure. S being Min(Max(Sales Turnover,5),50 )
The exposure for corporate loans is calculated as follows[1]
Correlation
AVC[2] (Asset Value Correlation) was introduced by the Basel III Framework, and is applied as following:
if the company is a large regulated financial institution (total asset equal or greater to US $100 billion) or an unregulated financial institution regardless of size
else
Maturity adjustment
Capital requirement
Risk-weighted assets
Corporate exposure adjustment for SME
For small and medium enterprises with annual Sales Turnover below 50 million euro, the correlation may be adjusted as follows:[3]
Correlation
In the above formula, S is the enterprise's annual sales turnover in millions of euro.
Residential mortgage exposure
The exposure related to residential mortgages can be calculated as this[4]
Correlation
Capital Requirement
Risk-weighted assets
Qualifying revolving retail exposure (credit card product)
The exposure related to unsecured retail credit products can be calculated as follows:[5][6]
Correlation
Capital Requirement
Risk-weighted assets
Other retail exposure
All other retail exposures are calculated as follows:[6]
Correlation
Capital Requirement
Risk-weighted assets
The advantages
Basel-II benefits customers with lower probability of default.
Basel-II benefits banks to hold lower capital requirement as having corporate customers with lower probability of default (Graph 1).
Basel-II benefits SME customers to be treated differently from corporates.
Basel-II benefits banks to hold lower capital requirement as having credit card product customers with lower probability of default (Graph 2).
http://www.bis.org/publ/bcbs107.htm Basel II: International Convergence of Capital Measurement and Capital Standards: a Revised Framework (BCBS)
http://www.bis.org/publ/bcbs118.htm Basel II: International Convergence of Capital Measurement and Capital Standards: a Revised Framework (BCBS) (November 2005 Revision)
http://www.bis.org/publ/bcbs128.pdf Basel II: International Convergence of Capital Measurement and Capital Standards: a Revised Framework, Comprehensive Version (BCBS) (June 2006 Revision)
http://www.bis.org/publ/bcbs189.pdf Basel III: A global regulatory framework for more resilient banks and banking systems (BCBS) (June 2011 Revision)