By Jayagopal B.
‼SAS' complicated analytical ideas have a confirmed skill to fast and effectively forecast the danger of credits losses at monetary associations. it can give you the solutions to questions akin to "Which candidates might be authorised or rejected?", "Which bills tend to pass into arrears?", and 'Which of the shoppers in arrears will pay?". This paper is meant as a primer to the appliance of knowledge mining innovations to be had in SAS/Enterprise MinerT to the credits scoring strategy to be able to minimise the chance of delinquency-Credit scoring is a technique of quantifying the chance of a selected credits applicant. the ultimate rating of an applicant is got from the sum of the person ratings which are in keeping with a few varied features corresponding to demographics, employment details and debt-to-income ratios. The ranking classifies the applicant right into a specific good/bad odds staff. This grouping is then in comparison to a pre-defined cut-off element to figure out the chance point of the applicant.The underlying assumption of the aforementioned procedure is that previous behaviour correctly displays destiny behaviour. Inductive types comparable to logistic regression, neural networks and choice bushes can be utilized to deduce styles and relationships from historic credits facts and generalise those findings to attain new candidates. A high-level rationalization of those innovations is equipped and their features in comparison. a quick review of the reject inference challenge is additionally lined.
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There are only two settings for this parameter -TRUE and FALSE. Any deviation from this will result in this error. 1: this parameter is peculiar in the fact that it is a 'Boolean' variable. This means, if you are using it from WITHIN a BLPH function it does NOT require quotation marks around it. Action: Edit parameter to either TRUE or FALSE. Remove quotation marks if used from within a BLPH function. 20. Type: Cause: #N/A Rl Tim Bloomberg Handled error / Data The security for which real time data is being requested is not being priced in real time.
CURRENCY Enter the 3 letter ISO code, in quotation marks or currency. : You can copy and paste the following in a particular cell Content =BLPTODAY() =BLPIT("YHOO US EQUITY","LAST_PRICE","09/01/05 15:00","09/01/05 16:00",5) =BLPIB("YHOO US EQUITY","LAST_PRICE","09/07/05 16:00",,10) =blptoday()-100 =blptoday()-99 Cell C1 A3 A17 A21 A22 Page 38 of 73 Bloomberg Documentation By Rasheed Abad Master of Finance Data Download =BLPIA("YHOO EQUITY","LAST PRICE",A21,A22) =BLPIT("YHOO EQUITY","LAST PRICE",A21,,1440) A23 A25 Result: Examples of BLPI: You can copy and paste the following in a particular cell Content =BLPTODAY() =BLPI("LAST TRADE","YHOO US EQUITY","LAST_PRICE","09/01/05 15:00","09/01/05 16:00",5) =BLPI("BEST_BID","YHOO EQUITY","LAST PRICE","09/07/05 16:00",,10) =blptoday()-100 =blptoday()-99 =BLPI("BEST ASK","YHOO EQUITY","LAST PRICE",A21,A22) Cell C1 A3 A17 A21 A22 A23 Result: Page 39 of 73 Bloomberg Documentation By Rasheed Abad Master of Finance Data Download Page 40 of 73 Bloomberg Documentation By Rasheed Abad 5.
Bloomberg Handled error / Data Data for the specified derived field is not available. There are a number of reasons why this can occur. Of the thousands of fields available to the API, many are derived from contributed data. While Bloomberg System endeavor to calculate and display all fields as soon as the necessary data is made available to us, not all data may be available for a particular field to hold non-null values at all times. This error may also be caused where values stipulated for an overridable field are significantly different from what may be regarded as the 'normal range' of acceptable values.