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150128 ||| eng |
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|a 9781475502299
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|a Singh, Manmohan
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|a CDS Spreads in European Periphery
|b Some Technical Issues to Consider
|c Manmohan Singh, Mohsan Bilal
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|a Washington, D.C.
|b International Monetary Fund
|c 2012
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|a 18 pages
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|a Greece
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|a Credit
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|a Banks
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|a Finance
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|a Industries: Financial Services
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|a Banks and banking
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|a Over-the-counter markets
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|a Mortgages
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|a International Lending and Debt Problems
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|a Collateral
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|a Money
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|a Financial markets
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|a Bonds
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|a Liquidation
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|a Credit default swap
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|a Banking
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|a Derivative markets
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|a Event Studies
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|a Depository Institutions
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|a Monetary economics
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|a Bankruptcy
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|a Financial institutions
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|a Micro Finance Institutions
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|a Monetary Policy, Central Banking, and the Supply of Money and Credit: General
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|a Financial Institutions and Services: Government Policy and Regulation
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|a General Financial Markets: General (includes Measurement and Data)
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|a Investments: Bonds
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|a Derivative securities
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|a Loans
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|a Financial instruments
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|a Banks and Banking
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|a Information and Market Efficiency
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|a Investment & securities
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|a Money and Monetary Policy
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|a Finance: General
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|a Bilal, Mohsan
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|a eng
|2 ISO 639-2
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|b IMF
|a International Monetary Fund
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|a IMF Working Papers
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|a 10.5089/9781475502299.001
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|u https://elibrary.imf.org/view/journals/001/2012/077/001.2012.issue-077-en.xml?cid=25777-com-dsp-marc
|x Verlag
|3 Volltext
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|a 330
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|a This paper looks at some technical issues when using CDS data, and if these are incorporated, the analysis or regression results are likely to benefit. The paper endorses the use of stochastic recovery in CDS models when estimating probability of default (PD) and suggests that stochastic recovery may be a better harbinger of distress signals than fixed recovery. Similarly, PDs derived from CDS data are risk-neutral and may need to be adjusted when extrapolating to real world balance sheet and empirical data (e.g. estimating banks losses, etc). Another technical issue pertains to regressions trying to explain CDS spreads of sovereigns in peripheral Europe - the model specification should be cognizant of the under-collateralization aspects in the overall OTC derivatives market. One of the biggest drivers of CDS spreads in the region has been the CVA teams of the large banks that hedge their exposure stemming from derivative receivables due to non-posting of collateral by many sovereigns (and related entities)
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