Thursday 10 April 2008

The IMF Financial Stability Review: Chapter 1

I have held off for a couple of days on commenting on this document not least because it is large, dense, and worth reading carefully. There is an awful lot of information in the full text here -- the executive summary is here. In this post I will comment on chapter 1: posts on subsequent chapters will follow later in the week.

My tuppence ha'penny:
  • The headline credit crunch loss predicted by the IMF of $1T has received a lot of press, not least because it is rather larger than the $460B some other commentators have been focussed on. Firstly no one really has any idea at this stage, and secondly it is half the estimated value destruction in the 1994 bond market crisis; so while it is a large number, we should not be too freaked by it.
  • There is a lot of good information in the report. For instance this table showing the dependence of a number of European banks on wholesale funding, may be of use in selecting your next short. Just remember it is hard to make money shorting the Republic of France or its wholly controlled subsidiaries.

  • According to the IMF there has been a massive rise in leverage of global banks. The report has this picture showing the growth of Bank assets and Basel 1 risk weighted assets, which I don't understand.

    Here's my problem. Consider the Basel 1 risk weights:

    Asset ClassRisk Weight
    Cash, Good quality sovereigns, Insured residential mortgages, short term commitments0%
    Loans to banks and muni risk20%
    Uninsured residential mortgages50%
    Loans to banks and muni risk20%
    All other loans100%

    If assets are above 15T and RWA are at 5T the average risk weight is roughly 35%. How can that be given the preponderance of corporate and retail risk in the system? Remember RWA also includes derivatives risk which is off balance sheet and not included as an asset, so this number makes even less sense. If anyone can explain how the average Basel 1 risk weight for the banking system comes out at less than 50%, I should be very grateful. Certainly if the data above is correct, the IMF's conclusion makes a lot of sense:
    Bank supervisors need to take more account of balance sheet leverage as they assess capital adequacy.

  • The IMF seems to take a rather optimistic view of the effect of the credit crunch on the availability of credit. They forecast a slowing of the rate of growth of credit but not an outright contraction:
    The pace of credit growth in a squeeze would be reduced to a little over 4 percent of the outstanding private sector debt stock in the United States.
    I think that is wildly optimistic. Everything we are seeing from the retail and commercial mortgage markets, for instance, suggests that credit growth will be negative for the next half year at least.
  • The IMF administers a richly deserved kicking to the monolines and their system of regulation:
    In the United States, the experience of the financial guarantors argues for reforms to U.S. insurance regulation.

    Responsibility currently resides with the states, which has impeded coordination of regulatory efforts across states and with federal bank and securities regulators where spillovers are now evident. A new strategy for regulation of the financial guarantor sector needs to be implemented, including a coherent approach to capital adequacy and new limits on financial guarantors’ activities.

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2 Comments:

Blogger Prof. Jayanth R. Varma said...

Under the market risk amendment to Basle I, risk weights for long term investment grade debt securities is only 1.6% (specific risk) and the weight is even lower for short term debt.

Moreover, the treatment of securitization is quite broken in Basle I.

9:55 am  
Blogger David Murphy said...

Interesting - so Prof. Varma thinks it is high grade govt debt in the trading book? I wonder. For many universal banks the trading book is a small part of their total assets so I'm not convinced. But the low RWA generated by trading book assets (and in particular trading book assets in banks with VAR models) is part of the story. Thank you Prof. Varma.

1:13 pm  

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