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NEW QUESTION: 1

A. Option D
B. Option B
C. Option A
D. Option C
Answer: B

NEW QUESTION: 2
Which accounting attribute group will capture a customer's accounting invoice and the cash applied to that invoice?
A. Tax attribute
B. Business Flow
C. Distribution identifiers
D. System Transaction identifiers
Answer: D
Explanation:
System transaction identifiers provide a link between an accounting event and its associated transaction or document. An identifier is the primary key of the underlying subledger transaction, usually the name of the surrogate key column on the transaction (header) associated with the accounting event. At least one system transaction identifier must be defined for the accounting event class.
When an accounting event is captured, system transaction identifiers, along with other required event data, are validated for completeness. Use event entities to tie subledger transaction entities with their accounting representation. The Financial Services Accounting Hub uses event entities to maintain the system transaction identifiers that uniquely identify the subledger transactions associated with the accounting events.

NEW QUESTION: 3



<CUSTOMERS Name="Customer A" Country="Australia">
<ORDERS OrderID="1" OrderDate="2001-01-01" Amount="3400.00" />
<ORDERS OrderID="2" OrderDate="2002-01-01" Amount="4300.00" />
</CUSTOMERS>

A. SELECT OrderId, OrderDate, Amount, Name, Country FROM Orders INNER JOIN Customers ON Orders.CustomerId - Customers.CustomerId WHERE Customers.CustomerId = 1 FOR XML AUTO, ELEMENTS
B. SELECT Name, Country, OrderId, OrderDate, Amount FROM Orders INNER JOIN Customers ON Orders.CustomerId= Customers.CustomerId WHERE Customers.CustomerId = 1 FOR XML AUTO, ELEMENTS
C. SELECT Name AS '@Name', Country AS '@Country', OrderId, OrderDate, Amount FROM Orders INNER JOIN Customers ON Orders.CustomerId= Customers.CustomerId WHERE Customers.CustomerId = 1 FOR XML PATH ('Customers')
D. SELECT Name, Country, OrderId, OrderDate, Amount FROM Orders INNER JOIN Customers ON Orders.CustomerId= Customers.CustomerId WHERE Customers.CustomerId = 1 FOR XML AUTO
E. SELECT OrderId, OrderDate, Amount, Name, Country FROM Orders INNER JOIN Customers ON Orders.CustomerId = Customers.CustomerId WHERE Customers.CustomerId = 1 FOR XML AUTO
F. SELECT OrderId, OrderDate, Amount, Name, Country FROM Orders INNER JOIN Customers ON Orders.CustomerId = Customers.CustomerId WHERE Customers.CustomerId = 1 FOR XML RAW, ELEMENTS
G. SELECT OrderId, OrderDate, Amount, Name, Country FROM Orders INNER JOIN Customers ON Orders.CustomerId = Customers.CustomerId WHERE Customers.CustomerId = 1 FOR XML RAW
H. SELECT Name AS 'Customers/Name', Country AS 'Customers/Country', OrderId, OrderDate, Amount FROM Orders INNER JOIN Customers ON Orders.CustomerId= Customers.CustomerId WHERE Customers.CustomerId = 1 FOR XML PATH ('Customers')
Answer: D

NEW QUESTION: 4
George Armor, CFA, is a new stock analyst for Pedad Investments. One tool that Pedad uses to compare stock valuations is the dividend discount model (DOM). In particular, the firm evaluates stocks in terms of
"justified" multiples of sales and book value. These multiples are based on algebraic manipulation of the DDM. Over time, these multiples seem to provide a good check on the market valuation of a stock relative to the company's fundamentals. Any stock which is currently priced below its value based on a justified multiple of sales or book value is considered attractive for purchase by Pedad portfolio managers. Exhibit 1 contains financial information from the year just ended for three stable companies in the meat-packing industry: Able Corp, Baker, Inc., and Charles Company, from which Armor will derive his valuation estimates.

One of Pedad's other equity analysts, Marie Swift, CFA, recently held a meeting with Armor to discuss a relatively new model the firm is implementing to determine the P/E ratios of companies that Pedad researches. Swift explains that the model utilizes a cross-sectional regression using the previous year-end data of a group of comparable companies' P/E ratios against their dividend payout ratios (r), sustainable growth rates (g), and returns on equity (ROE). The resulting regression equation is used to determine a predicted P/E ratio for the subject company using the subject company's most recent year-end data. Swift has developed the following model, which has an R-squared of 81%, for the meat packing industry (16 companies):
Predicted P/E = 2.74 + 8.21(r) + 14.21(g) + 2.81(ROE)
(STD error) (2.11) (6.52) (9.24) (2.10)
After Swift presents the model to Armor, she points out that models of this nature are subject to limitations.
In particular, multicollinearity, which appears to be present in the meat packing industry model, can create great difficulty in interpreting the effects of the individual coefficients of the model. Swift continues by stating that in spite of this limitation, models of this nature generally have known and significant predictive power across different time periods although not across different stocks.
Based on Exhibit 1, indicate the company that has the lowest predicted P/E utilizing the meat packing industry model presented by Swift.
A. Able Corp.
B. Baker, Inc.
C. Charles Company.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Based on the model presented, the predicted P/E ratios can be calculated as:
Able: 2.74 + 8.21(1.00 / 2.50) + 14.21(0.15) + 2.81(0.25) = 8.85
Baker: 274 + 8.21(1.60/4.80) + 14.21(0.10) + 2.81(0.15) = 7.32
Charles: 2.74 + 8.21(2.50/4.00) + 14.21(0.03) + 2.81(0.08) = 8.52
(Study Session 12,LOS42.g)