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	<title>Revenue Boost with Loans</title>
	<link>http://revenue24.net</link>
	<description>How can loans improve your financial status</description>
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	<item>
		<title>The mortgage servicer companies</title>
		<description><![CDATA[The mortgage servicer company I worked with was frustrated with the custodian’s tracking system. Frequently the servicer company would inquire about where the documents were located and the custodian couldn’t tell them. The firm of mortgage custodians felt they had a good process for identifying and retrieving documents and didn’t want to hear complaints from [...]]]></description>
		<link>/?p=57</link>
			</item>
	<item>
		<title>Credit services that handle your problems</title>
		<description><![CDATA[In another example, Xcel Energy, the fourth-largest energy company in the United States, with a delivery network in thirteen states, outsources its IT functions to IBM.Why would Xcel Energy duplicate the capabilities of one of the largest information technology companies in the world when they can partner with them, receive their expertise and knowledge, and [...]]]></description>
		<link>/?p=55</link>
			</item>
	<item>
		<title>How to manage the volume of your debt</title>
		<description><![CDATA[In the Bank of America/Exult case, the bank was looking to get out of the human resource transaction business. They looked to Exult to help them manage their 120,000 associates. To be successful at this, the bank needed an entire infrastructure including an 850-person call center, telecommunications network, and Web site to manage the volume. [...]]]></description>
		<link>/?p=53</link>
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	<item>
		<title>Payday loans were designed to satisfy your needs</title>
		<description><![CDATA[Today in the United States, a company using its workforce as Ford did would find it tough to stay afloat. Such labor-intensive processes would be too expensive. And besides, people are generally more educated today and want work that’s more meaningful.What robots can’t do is the creative, team-oriented work that requires sophisticated communication and decision [...]]]></description>
		<link>/?p=50</link>
			</item>
	<item>
		<title>Risk arising from single issuer credit events</title>
		<description><![CDATA[So far we have described a rather intuitive way of combining individual views in a portfolio. Top-down and bottom-up analyses have determined the overall strategy for the portfolio, spread class and sector selection and finally issuer weightings. This qualitative methodology does not require estimates of returns, risks and correlations between the investments, and therefore is [...]]]></description>
		<link>/?p=42</link>
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	<item>
		<title>Correlation between various credit types</title>
		<description><![CDATA[The rating agencies have been criticized for being too slow to react to changes in the credit quality of an issuer, leading to serially correlated rating patterns and limiting the value of ratings as a risk management tool. As a reaction, Moody’s decided to put its rating process under review, and acquired KMV to be [...]]]></description>
		<link>/?p=39</link>
			</item>
	<item>
		<title>Classification of loan types</title>
		<description><![CDATA[For purposes of risk management bonds are often grouped according to agency ratings based on the assumption that bonds with similar ratings tend to show a high degree of comovement. Breger et al. (2003) examine whether the correlation between individual bonds increases if they are grouped by implied ratings, that is by spread classes rather [...]]]></description>
		<link>/?p=36</link>
			</item>
	<item>
		<title>What are the most important credit features</title>
		<description><![CDATA[The addition of the individual contributions to expected excess return in Our study yields an expected 1-year excess return of 88.2 bp for A-rated corporate bonds with a maturity of 5-years. This is significantly below the initial spread of 100 bps. The difference reflects the fact that a downgrade is more probable for A-rated corporate [...]]]></description>
		<link>/?p=33</link>
			</item>
	<item>
		<title>Tightening of credit spreads</title>
		<description><![CDATA[A strong negative correlation between default rates and economic growth could always be expected, but during the economic crisis in the United States in the 1970s and 1980s a sharp increase of the default rates could not be observed. It was the economic slowdown in 1990, which was accompanied by extremely increasing default rates. The [...]]]></description>
		<link>/?p=30</link>
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	<item>
		<title>Why are default credit rates important</title>
		<description><![CDATA[The following paragraph will deal with default rates because they are of central importance for high-yield investors. We compare the three major default peaks since 1920. Default rates have to be distinguished between “issuer-weighted” and “dollar-weighted”. The increasing amount of Fallen Angels in 2002 resulted in a sharp increase of the “dollar-weighted” default rate. High-yield [...]]]></description>
		<link>/?p=27</link>
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