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he outcome of the model. For example if we consider present situation of financial crisis the main parameter is liquidity which has been be ignored by modelers while modeling risk.

3. Data quality: data quality is the most and foremost important thing in statistics because the accuracy of these models depends up on quality of data. (Daníelsson J, 2002)

To prove what Daníelsson J, said Vanessa G. Perry proved, there is always dearth of data on subprime market. The data that is available is proprietary lender data. And this data had drawbacks on analysis of market trends. To analyze data properly we need property records which contain information on mortgagee and mortgager, transaction price, property location, credit score, foreclosure rate of neighborhood state.

This data was necessary for the rating agencies to analyze the market condition properly. Roughly to analyze loan performance, three sets of data was taken into consideration, that is the Borrower data, loan data, property data. Borrower data should contain income, FICO score, and demographics. The loan data should contain loan amount, LTV, loan type, interest rate/fee, terms such as FRM/ARM, payment history. Property data should contain location, prices, sales, foreclosure, and employment rate. One can predict the probability of default if and only if these data of loan is available. (Vanessa G. Perry, 2008).

2.2.4 Concerns on rating in RMBS

According to (Committee on the Global Financial System, 2005), and (Mason and Rosner, 2007) there are many concerns on rating agencies which rated the RMBS, they are;

1. Transparency- Given the role that is played by rating agencies in removing Asymmetries, it is important that they be transparent on what they do. Rating agencies never disclosed completely their methodologies they use to rate RMBS and key assumptions and rating criteria. Credit rating agencies never accepted that the data provided by issuer of securities are not sufficient to rate. And rating agencies never provided historical performance data about their ratings.

2. Quality of rating process- there is a huge growth in RMBS market because of ease in lending loans. And at the same time these RMBS products started to get more complex. The rating agencies did not have enough staff to tackle increasingly complex products and huge volume of these products. Because of shortage of work force these rating agencies were not able to catch up with rating upgrades or downgrades accordingly with change in circumstances like issuers principal or interest short fall.

3. Conflict of interest- the rating agencies main role is to act as an intermediate between investors and issuers. This trust of being intermediate has been broken by rating agencies by charging issuers for rating products instead of getting paid by subscribers who subscribe for these ratings to invest in these products. Because of shift in the axis of being intermediate, these rating agencies got paid from issuer who in turn profited rating agencies by gaining millions of dollars. This process of issuer paying for his rating created conflict of interest. So considering profits they incur from thi本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。