Optimal delay in downgrade by Credit Rating Agencies
Description:
stock prices and stock analyst forecasts predict rating changes (e.g. Holthausen ... More financially constrained the firm, greater the documented delay by the agency. ... – PowerPoint PPT presentation
Title: Optimal delay in downgrade by Credit Rating Agencies
1 Optimal delay in downgrade by Credit Rating Agencies
-Krishna Kamath
(Preliminary Incomplete)
2 Motivation
Debt is often trading at a significant discount by the time the downgrade actually takes place.
Markets seem to anticipate downgrades i.e. little new information is conveyed by decision to downgrade
Criticism of rating agencies for reacting slowly to changes in credit quality
3 Motivation (continued)
a great deal of evidence indicates that their product, information, is not particularly inaccurate and, to the extent that it is accurate, by the time it reaches investors it is so stale as to be useless to the investors for whose ostensible benefit it is produced. The credit rating agencies dismal performance in their work on Orange County, Mercury Finance, Pacific Gas Electric, Enron, WorldCom, and most recently General Motors and Ford suggest that credit rating agencies arent doing the job that the public thinks they do. A plethora of academic studies showing that credit ratings changes lag the market support this intuition. - Jonathan R. Macey from Yale Law School testifying to Congress on Nov 29, 2005
Economist (1997, p. 70) on the Asian crisis The raters, firms such as Moodys Investors Service, Standard Poors, Duff Phelps and IBCA, are supposed to be the financial markets early warning system. Instead, the agencies have spent the past few months belatedly reacting to events.
If you want to see a grown man cry ask him about Thailands 7.75 issue of 2007, rated A/A3 back in May of 1997 Euromoney, Jan 1998
4 Documented Empirical Findings in Literature
stock prices and stock analyst forecasts predict rating changes (e.g. Holthausen and Leftwich, 1986, Ederington and Goh, 1998)
rating changes lag changes in default probabilities. (Delianedis and Geske 1999)
5 Why is this surprising?
have access to insider information such as minutes of the board meetings, new product plans, expansion plans etc.
Exempt from Reg FD
Goal to come up with a model explaining delay by rating agencies in downgrade.
6 Possible Explanations
Infrequent monitoring Ederington and Yawitz (1987)
Ratings management Loffler (2003)
Oligopolistic nature of industry too little monitoring done. (law circles)
Private and public uses of ratings exogenous investment restrictions, rating triggers etc.
7 Basic Idea
Rating agencies have to take into account the feedback effect of their decision to downgrade
Downgrades can increase borrowing costs exacerbate financial distress. Can create incentives to engage in asset substitution
Care about ex-post accuracy between rating given and final outcome observed.
Effects are greatest when downgrading across the investment grade boundary
gt Rating agencies are cautious/conservative when downgrading across investment grade boundary
8 Model
3 dates, 2 periods.
Players
Rating Agency, Firm, and Institutional Investor.
9 Empirical Predictions
Downgrades across investment grade boundary tend to be lumpy
More financially constrained the firm, greater the documented delay by the agency.
Proxy for delay Market Anticipation on downgrad
(p(t-1) p(t-n))/(p(t) p(t-n))
Where P(t) is the price of the bond after the downgrade
10 Data
Mergent FISD database
Bond transactions by insurance companies between 1995-2005
Historical bond ratings for issues
Exclude Yankee bonds, foreign denominated bonds.
11 Future Research Ideas
Examine changes in liquidity at the investment grade boundary
Examine transaction costs incurred by institutional investors at the BBB- boundary
Will the entry of more rating organizations improve informativeness?