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[宏观经济指标] 主权评级 Determinants and Impact of Sovereign Credit Ratings-Cantor and Parker [推广有奖]

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lys211 发表于 2011-10-11 19:35:11 |AI写论文

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Determinants and Impact of Sovereign Credit Ratings.pdf (102.08 KB, 需要: 1 个论坛币)

Determinants and Impact of Sovereign Credit Ratings

Richard Cantor and Frank Packer


有关主权评级的一篇经典论文,2楼,3楼附送两篇
In recent years, the demand for sovereign credit ratings—the risk assessments assigned by the credit rating agencies to the obligations of central governments—has increased dramatically. More governments with greater default risk and more companies domiciled in riskier host countries are borrowing in international bond markets. Although foreign government officials generally cooperate with the agencies, rating assignments that are lower than anticipated often prompt issuers to question the consistency and rationale of sovereign ratings. How clear are the criteria underlying sovereign ratings? Moreover, how much of an impact do ratings have on borrowing costs for sovereigns? To explore these questions, we present the first systematic analysis of the determinants and impact of the sovereign credit ratings assigned by the two leading U.S. agencies, Moody’s Investors Service and Standard and Poor’s. 1 Such an analysis has only recently become possible as a result of the rapid growth in sovereign rating assignments. The wealth of data now available allows us to estimate which quantitative indicators are weighed most heavily in the determination of ratings, to evaluate the predictive power of ratings in explaining a cross-section of sovereign bond yields, and to measure whether rating announcements directly affect market yields on the day of the announcement. Our investigation suggests that, to a large extent, Moody’s and Standard and Poor’s rating assignments can be explained by a small number of well-defined criteria, which the two agencies appear to weigh similarly. We also find that the market—as gauged by sovereign debt yields—broadly shares the relative rankings of sovereign credit risks made by the two rating agencies. In addition, credit ratings appear to have some independent influence on yields over and above their correlation with other publicly available information. In particular, we find that rating announcements have immediate effects on market pricing for non-investment-grade issues.
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关键词:Determinants determinant Sovereign Ratings PARKER Sovereign risk contingent claims debt sustainability risk management

沙发
lys211(未真实交易用户) 发表于 2011-10-11 19:38:34

Measuring and Analyzing Sovereign Risk with Contingent Claims

Michael T. Gapen, Dale F. Gray,  

Cheng Hoon Lim, and Yingbin Xiao

Measuring and Analyzing Sovereign Risk with Contingent Claims.pdf (800.33 KB, 需要: 1 个论坛币)


This paper develops a comprehensive new framework to measure and analyze sovereign risk.
Since traditional macroeconomic vulnerability indicators and accounting-based measures do
not address risk in a comprehensive and forward-looking way, the contingent claims
approach is used to construct a marked-to-market balance sheet for the sovereign, and derive
a set of credit-risk indicators that serve as a barometer of sovereign risk. Applications to 12
emerging market economies show the risk indicators to be robust and highly correlated with
market spreads. The framework can help policymakers design risk mitigation strategies and
rank policy options using a calibrated structural model unique to each economy.
JEL Classification Numbers:   E61, G13, G15, H63  
Keywords:   Sovereign risk, contingent claims, debt sustainability, risk management   

藤椅
lys211(未真实交易用户) 发表于 2011-10-11 19:38:44
Modeling Sovereign Yield Spreads A Case Study of Russian Debt.pdf (985.55 KB, 需要: 1 个论坛币)
Modeling Sovereign Yield Spreads A Case Study of Russian Debt

Author(s): Darrell Duffie, Lasse Heje Pedersen, Kenneth J. Singleton
Source: The Journal of Finance, Vol. 58, No. 1 (Feb., 2003), pp. 119-159

ABSTRACT

We  construct  a model  for  pricing  sovereign  debt  that accounts  for  the risks of both default and restructuring,  and allows for compensation  for illiquidity. Using a new and relatively efficient method, we estimate the model using Russian dollar-denominated bonds.  We  consider  the determinants  of the Russian yield  spread,  the yield differential  across  different  Russian  bonds,  and  the implications  for arket  integration,  relative  liquidity,  relative  expected  recovery rates, and  implied  expectations  of different  default  scenarios.

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