Regulatory and economic solvency standards for internationally active banks PowerPoint PPT Presentation

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Title: Regulatory and economic solvency standards for internationally active banks


1
  • Regulatory and economic solvency standards for
    internationally active banks
  • Comments by
  • Giovanni Majnoni
  • (The World Bank)
  • Basel II An Economic Assessment
  • (Basel Committee on Banking Supervision, May
    17-18, 2002)

2
Main points
  • The questions addressed and the results
  • Comments on methodological questions
  • Scope of the analysis and possible extensions.

3
The questions addressed
  • The regulatory question
  • What level of survival probability is embedded
    in the 8 rule?
  • Or what level of bank mortality is acceptable for
    bank regulators?
  • The economic question
  • What level of survival probability banks
    consider when setting the levels of capital that
    they effectively set aside?
  • What justifies prevailing levels of capital.

4
The same questions could be read
  • Moving from Basel I to Basel II
  • is it realistic the objective of the BCBS of
    keeping at the 8 level the average capital
    requirement in Basel II?
  • should we expect a sudden rise or fall of capital
    requirements?
  • and for whom?
  • how robust are the empirical relationship between
    capital and insolvency levels?

5
The answers of the paper
  • For large internationally active banks the 4
    requirement of core capital is coherent with a
    default ratio between 4 (three years horizon,
    average quality portfolio of US banks) and 0.01
    (one year, good quality portfolio)
  • The amount of capital held by large G10 banks is
    equal on average to 7 (equivalent to less than
    0,001 default probability over one year
    horizon)
  • The market discipline enforce an economic ratio
    larger than the regulatory one
  • (Implicitly) switching to a regime that envisages
    similar default frequencies should not have major
    quantitative effects.

6
Methodological contributions
  • Simulation procedure for a MTM loan portfolio
    exposed to a common risk factor
  • follows a simplified CreditMetrics approach.
  • Selects a set of relevant parameters a
    representative portfolio composition, an SP
    transition matrix, an average 50 LGD modeled as
    a beta distribution
  • See Carey (2002) for a simulation based on a DM
    approach
  • Empirical measurement of the implicit public
    guarantee element built into banks ratings in
    order to assess market evaluation of financial
    strength.

7
and a terminology issue
  • Confidence interval
  • for the paper is the survival probability or
    solvency standard (1-a)
  • No other reference to more traditional notion of
    confidence interval
  • No measure of the precision of the estimated
    parameters of the loss distribution function
    (mean, percentile levels)
  • It is not possible to distinguish whether the
    different default probability levels are
    significantly different among different
    simulations or, alternatively, how many capital
    levels are compatible with one survival
    probability.

8
Confidence intervals
  • Confidence intervals (of confidence intervals
    in the paper terminology) grow rapidly as we
    measure percentiles farther away in the tail of a
    distribution
  • ?n-1/2 std. error of the sample mean of a
    normal distribution
  • k?n-1/2 std. error of a sample percentile (k
    2.13 for the 5 percentile k 3.77 for the 1
    percentile)
  • More so for asymmetric distributions (Kupiec,
    1997).
  • An incidental remark lack of quantitative
    assessments of general loan loss provisions,
    easier to estimate, especially where data are
    scarce.

9
Scope of the analysis and open issues
  • What if we consider loan portfolios of banks not
    internationally active? Or if the authors had
    considered transition matrices taken from crisis
    periods (Carey, 2002)?
  • When we leave the world of internationally
    active banks an evaluation of the adequate level
    of economic capital and of market discipline
    becomes much harder
  • Rating often would not be available
  • In emerging economies, when available, ratings
    are almost completely determined by the support
    component (sovereign rating).

10
Scope of the analysis and open issues
  • What if the transition matrix looks like the
    following
  • Transition matrix for bank loans in Mexico
  • Source Lowe and Segoviano (2002)

11
Conclusions
  • The paper provides a useful simulation
    methodology to select levels of capital
    requirements
  • By concentrating on large international banks
    from G10 countries provides evidence of a market
    discipline tighter than regulatory standards
  • Leaves open the question of the latitude of
    market discipline and of the levels of capital
    when we move away from the world of wholesale
    banking.
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