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NEW QUESTION: 1
A school dormitory scene need to deploy WLAN, customers want to maximize the bandwidth, which of the following ways to best meet customers' needs?
A. AP6310SN power fractional scheme
B. AP9330DN indoor distribution program
C. AD9430DN Agile Distributed Solution
D. AP6310SN coupling scheme
Answer: C
NEW QUESTION: 2
An engineer wants to deploy a 2504 controller as the anchor controller for a guest WLAN that resides on a
5508 controller in a different mobility group. What configuration change must be applied to support this deployment strategy?
A. UDP 5246 and TCP Protocol 97 must be enabled on the router
B. DHCP Option 43 must be added to the neighboring switchport
C. The 2504 controller must be added to the same mobility group as the 5508.
D. UDP 16666 and IP Protocol 97 must be enabled on the 2504 controller
Answer: C
Explanation:
Section: (none)
NEW QUESTION: 3
A. Create 17,520 partitions.
B. Use a granularity of two days.
C. Create 730 partitions.
D. Create 2,557 partitions.
Answer: D
Explanation:
We create on partition for each day. 7 years times 365 days is 2,555. Make that 2,557 to provide for leap years.
From scenario: Partition the Fact.Order table and retain a total of seven years of data.
Maximize the performance during the data loading process for the Fact.Order partition.
NEW QUESTION: 4
Emily De Jong, CFA, works for Charles & Williams Associates, a medium-sized investment firm operating in the northeastern United States. Emily is responsible for producing financial reports to use as tools to attract new clients. It is now early in 2009, and Emily is reviewing information for O'Connor Textiles and finalizing a report that will be used for an important presentation to a potential investor at the end of the week.
Following an acquisition of a major competitor in 1992, O'Connor went public in 1993 and paid its first dividend in 1999. Dividends are paid at the end of the year. After 2008, dividends are expected to grow for three years at 11%: $2.13 in 2009, $2.36 in 2010, and $2.63 in 2011. The average of the arithmetic and compound growth rates are given in Exhibit 1. Dividends are then expected to settle down to a long-term growth rate of 4%. O'Connor's current share price of $70 is expected to rise to $72.92 by the end of the year according to the consensus of analysts' forecasts.
O'Connor's annual dividend history is shown in Exhibit 1.
De Jong is also considering whether or not she should value O'Connor using a free cash flow model instead of the dividend discount model.
The output from the regression appears in Exhibit 2.
De Jong determines that employing the CAPM to estimate the required return on equity suffers from the following sources of error:
* Estimation of the model's inputs (e.g., the market risk premium). The company's dividend payment schedule.
* The accuracy of the beta estimate.
* Whether or not the model is the appropriate one to use.
De Jong observes that two reputable statistical analysis firms estimate betas for O'Connor stock at 0.85 and 1.10. She concludes that the differences between her beta estimate and the published estimates resulted from her use of standard errors in her regression to correct for serial correlation; the other firms did not make a similar adjustment.
De Jong considers using adjusted beta in her analysis. Typically, her company uses 1/3 for the value of .
She determines
that her adjusted beta forecast will be closer to the mean reverting level using this value than it would be using a value of 1/3.
Is De Jong correct with respect to her conclusions regarding the causes of the differences between her beta estimate for O'Connor and the published beta estimates, and her strategy for adjusting her beta estimate to more quickly approach the mean reverting level of beta?
A. Yes on both counts.
B. No on both counts.
C. Yes on one count, and no on the other.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
She is correct on one count but incorrect on the other. Using adjusted standard errors will change the /- statistic and potentially the statistical signiBcance, but not the beta estimate itself. So, she is incorrect with regard to the impact of adjusting the standard errors. The mean-reverting level of the beta is 1. If the historical beta is greater than I, then the adjusted beta will be less than the historical beta and closer to 1. If the historical beta is less than 1, then the adjusted beta will be greater than the historical beta and closer to
I. The adjusted beta forecast will move toward 1 more quickly for larger values of , so she is correct in regard to this matter. (Study Session 3, LOS 12.g and Study Session 18, LOS 64.h)