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The Information Content and Redistribution Effects of State and Municipal Rating Changes in Mexico

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Author Info
Mendoza-Velazquez, Alfonso

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Abstract

The fiscal and financial reforms carried out in Mexico in 2000 have encouraged a widespread presence of rating agencies and have allowed several States and unicipalities to raise funds through bond offerings in the capital market. Any local government in Mexico intending to access credit and capital markets must count with at least one credit rating from one of the three main agencies : FitchRatings, Moody's and Standard & Poor's. This paper investigates the impact of rating changes to State and Municipal governments on bond returns in Mexico. By employing a Capital Asset Pricing Model (CAPM) structure for the mean equation that allows conditional volatility, we find strong support for the Information Content Signaling Hypothesis (ICSH), i.e., rating upgrades (downgrades) are followed by greater (lower) bond returns. We also find some support for the Wealth Redistribution Hypothesis (WRH) indicating that rating upgrades (downgrades) are followed by lower (greater) bond returns. In addition to this, we find high volatility persistence, significant asymmetric responses of volatility to bad and good news, a negative association between market volatility and the level of bond returns and significant effects of volatility in response to rating changes. Finally, the estimations show the market anticipates and responds to rating changes within five-day momentum windows. There is a comparatively stronger reaction of returns on the event day favoring the hypothesis of market inefficiency. --

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Paper provided by Kiel Institute for the World Economy in its series Economics Discussion Papers with number 2009-17.

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Date of creation: 2009
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Handle: RePEc:zbw:ifwedp:7541

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Related research
Keywords: Credit rating changes; municipal bond returns; CAPM; EGARCH-in-Mean;

Find related papers by JEL classification:
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
H74 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Borrowing
H77 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Intergovernmental Relations; Federalism
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
G20 - Financial Economics - - Financial Institutions and Services - - - General

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References listed on IDEAS
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  1. Pilar Abad-Romero & M. Dolores Robles-Fernandez, 2006. "Risk and Return Around Bond Rating Changes: New Evidence From the Spanish Stock Market," Journal of Business Finance & Accounting, Blackwell Publishing, vol. 33(5-6), pages 885-908. [Downloadable!] (restricted)
  2. M.J. Barron & A.D. Clare & S.H. Thomas, 1997. "The Effect of Bond Rating Changes and New Ratings on UK Stock Returns," Journal of Business Finance & Accounting, Blackwell Publishing, vol. 24(3), pages 497-509. [Downloadable!] (restricted)
  3. Campbell, John Y., 1987. "Stock returns and the term structure," Journal of Financial Economics, Elsevier, vol. 18(2), pages 373-399, June. [Downloadable!] (restricted)
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  4. Ingram, Robert W & Brooks, Leroy D & Copeland, Ronald M, 1983. " The Information Content of Municipal Bond Rating Changes: A Note," Journal of Finance, American Finance Association, vol. 38(3), pages 997-1003, June. [Downloadable!] (restricted)
  5. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March. [Downloadable!] (restricted)
  6. Holthausen, Robert W. & Leftwich, Richard W., 1986. "The effect of bond rating changes on common stock prices," Journal of Financial Economics, Elsevier, vol. 17(1), pages 57-89, September. [Downloadable!] (restricted)
  7. Backus, David K & Gregory, Allan W, 1993. "Theoretical Relations between Risk Premiums and Conditional Variances," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(2), pages 177-85, April.
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This page was last updated on 2009-11-27.


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