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Ebook Contactless Smart Card Applications: Design Tool and Privacy Impact Assessment
Submitted by puput on Wed, 09/02/2009 - 01:31Privacy protection is good business, providing a competitive edge for many organizations. It is also a legislated mandate in Canada and in a growing number of countries. The most effective and economical time to incorporate it into your applications and systems is during the design stage. These strategic choices are related not only to the personal information that resides on your advanced card platform, but throughout your system, wherever it appears. Your corporate privacy policies, procedures and reporting complete the integrity of privacy protection.
This document will take you through each stage, outlining what you need to do, as well as your options. It not only helps you systematically design privacy in, but also results in documentation that can be used for marketing and certification purposes.
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Ebook Default risk premia on government bonds in a quantitative macroeconomic model
Submitted by puput on Thu, 03/11/2010 - 04:04Recent fiscal policy measures that aim to reduce the macroeconomic impact of the financial crisis have boosted public deficits in almost all industrialized countries. According to the International Monetary Fund (IMF, 2009) gross public debt in the G20 countries will surge to 106% of GDP by 2010. As a consequence, concerns about future government default on debt obligations have become a topic widely discussed in the financial press, as well as the possibility of interest rates on government bonds rising as a reflection of default risk. Indeed, sizeable yield spreads between government bonds of member countries of the European Monetary Union have been observed over the course of recent years, even before the current crisis.
For example, in mid 2007 the interest rates on one year government obligations in the highly indebted countries Belgium and Greece (who had debt to gdp ratios of 88.7 and 96.5 percent) were 23.7 and 113.9 basis points, respectively, above the interest rates on comparable German government bonds. For longer term government securities of Eurozone members, there is a well documented empirical pattern showing that interest rate spreads exist and are increasing in the level of a countryjs indebtedness (see e.g. Manganelli and Wolswijk, 2009). Since, within a currency union, government bonds of all member countries are subject to the same amount of inflation risk and there is no differential exchange rate risk, this divergence in interest rates could be interpreted as reflecting the risk of governments defaulting on their debt obligations. One obvious policy concern would be that higher interest rates on sovereign debt instruments due to default risk premia additionally worsen the fiscal position of indebted governments.
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Ebook Credit Cycles and Macro Fundamentals
Submitted by wulan on Mon, 03/01/2010 - 06:15Systematic credit risk factors play a dominant role in current credit risk management. Traditionally, credit scoring methodologies focus on assessing the credit risk of individual counterparties (see i.a. Altman (1983), Altman (2000)). Though important, at the portfolio level most of the idiosyncratic risks can be diversified and only the systematic credit risk components remain, see, e.g., Lucas et al. (2002), Schönbucher (2001), Frey and McNeil (2003). This also holds if bond or loan portfolios are repackaged into new products like CDOs. In order to assess the credit risk at the portfolio level, it is important to model the correct dynamics of systematic credit risk components.
In this paper, we use the methodology of Koopman et al. (2005) to estimate the credit cycle directly from rating and default data at the micro level using intensity models with latent common risk factors. The data used are rating and default transitions for U.S. corporates rated by Standard and Poor’s and observed over December 1980 to June 2005. We condition the credit cycle on a number of macro economic fundamentals, reflecting the state of the business cycle, bank lending conditions, and financial market conditions. In line with results by for example Couderc and Renault (2005), these variables appear to capture part of the credit cycle dynamics. The models, however, turn out to be dynamically mis-specified as there is strong remaining autocorrelation in the intensities. If we account for this, the significance of many of the macro variables disappears. The results are robust to a variety of specifications of the model. This leaves us with the puzzle of what macro fundamentals drive default and (re-)rating behavior.
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