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NEW QUESTION: 1
Powerful Performance Presenters (PPP) is a performance attribution and evaluation firm for pension consulting firms and has recently been hired by Stober and Robertson to conduct a performance attribution analysis for TopTech. Tom Harrison and Wendy Powell are the principals for PPP. Although performance attribution has come under fire lately because of its shortcomings, Stober believes PPP provides a needed service to its clients. Robertson shares Stober's view of performance attribution analysis.
Stober and Robertson request that Harrison and Powell provide a discussion of performance measures.
During a conversation on complements to attribution analysis, Harrison notes the uses of the Treynor ratio.
He states that the Treynor ratio is appropriate only when the investor's portfolio is well diversified. Powell states that the Sharpe ratio and the Treynor ratio will typically yield the same performance rankings for a set of portfolios.
Stober requests that PPP do some performance attribution calculations on TopTech's managers. In order to facilitate the analysis, Stober provides the information in the following table:
Harrison states one of PPP's services is that it will determine if TopTech has chosen a valid benchmark.
Stoher volunteers that indeed his firm's benchmark possesses the properties of a valid benchmark and describes its composition. The benchmark has the following characteristics:
* It uses the top 10% of U.S. portfolio managers each year in each asset class as the benchmark for TopTech managers;
* TopTech is very careful to make sure that its managers are familiar with the securities in each benchmark asset class;
* The identities and weights of various securities in the TopTech benchmark are clearly defined.
During a presentation to Stober, Robertson, and other TopTech executives, Harrison and Powell describe how macro attribution analysis can decompose an entire fund's excess returns into various levels. In his introduction, Robertson delineates the six levels as net contributions, risk-free return, asset categories, benchmarks, investment managers, and allocations effects.
Robertson states that TopTech has performed impressively at the investment managers level tor three years in a row. Harrison and Powell then describe the levels in greater detail. Harrison describes the benchmark level as the difference between active managers' returns and their benchmark returns. Powell states that the investment managers' level reflects the returns to active management on the part of the fund's managers, weighted by the amount actually allocated to each manager.
At the request of Stober, Harrison and Powell explore alternatives to the benchmark TopTech is currently using for its small-cap value manager. After some investigation of the small-cap value manager's emphasis, Harrison and Powell derive four potential custom benchmarks and calculate two measures to evaluate the benchmarks: (1) the return to the manager's active management or A = portfolio return - benchmark return; and (2) the return to the manager's style or S = benchmark return - broad market return.
The following characteristics are presented below for each benchmark: (1) the beta between the benchmark and the small-cap value portfolio; (2) the tracking error (i.e., the standard deviation of A); (3) the turnover of the benchmark; and (4) the correlation between A and S.
Harrison and Powell evaluate the benchmarks based on the four measures.
Based on an overall attribution analysis, does TopTech demonstrate superior ability to select stocks?
A. No, the within-sector selection effect is -4.5%.
B. Yes, the within-sector selection effect is 1.3%.
C. No, the within-sector selection effect is -3.2%.
Answer: A
Explanation:
Explanation/Reference:
Explanation:
The within-sector selection effect measures the manager's ability to select superior securities to represent each sector in the portfolio. It is the sum of the weight for each sector in the benchmark times the difference in that sector's return in the portfolio and in the benchmark.
Within sector selection effect = (0.60)(0.187 - 0.286) + 0.25(0.158 - 0.124) + (0.15) (0.125 - 0.0885) = -
0.0594 + 0.0085 + 0.0055 = -0.0454 = -4.54%.
In sum, in the financial and large cap sectors, the manager chose superior stocks, so they show superior ability there. The overall within-sector selection effect is negative (-4.54%), however, so they do not show a consistent overall ability to select stocks.
The remaining component of attribution analysis (the allocation/selection interaction effect) can be calculated as the difference between the portfolio and benchmark weights for each sector multiplied by the difference between the return for the sector in the portfolio and the return for the sector in the benchmark.
The total allocation/ selection interaction effect is the sum of these products.
Allocation/selection interaction effect = (0.50 - 0.60)(0.187 - 0.286) + (0.30 - 0.25) (0.158 - 0.124) + (0.20 -
0.15)(0.125 - 0.0885) = 0.0099 + 0.0017 + 0.0018 = 0.0134= 1.34%.
The total excess return for the manager is then -1.80% + 1.34% - 4.54% = -5-00%.
This should be equal to the excess return calculated using the total returns for the benchmark and the portfolio. The total return for the benchmark is calculated above as 21.6%. For the portfolio it is: = (0.5) (0.187) + (0.3)(0.158) + (0.2)(0.125) = 16.6%. Thus the excess return calculated using the total returns for the portfolio and the benchmark is 16.6% - 21.6% = -5.0%. (Study Session 17, LOS 47.1)
NEW QUESTION: 2
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
Your network contains an Active Directory domain named contoso.com. The domain contains a domain controller named Server1.
You recently restored a backup of the Active Directory database from Server1 to an alternate Location.
The restore operation does not interrupt the Active Directory services on Server1.
You need to make the Active Directory data in the backup accessible by using Lightweight Directory Access Protocol (LDAP).
Which tool should you use?
A. Dsmod
B. Dsacls
C. Ntdsutil
D. Active Directory Users and Computers
E. Dsadd quota
F. Group Policy Management Console
G. Active Directory Administrative Center
H. Dsamain
Answer: H
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 3
重要なデータベース・スケジューラ・ジョブの経過時間が許容できないほど長くなっていることがわかります。
ジョブはスケジューラ・ジョブ・クラスとウィンドウに属します。
どの2つのアクションはジョブの経過時間を減少させますか。
A. それが属しているジョブ・クラス内のジョブの相対的な優先順位を上げます。
B. JOB_QUEUE_PROCESSESパラメータの値を大きくします。
C. 同じスケジュールと期間で、既存の優先度の高いスケジューラウィンドウにジョブを移動します。
D. ジョブが属するジョブ・クラスの優先順位を上げます。
E. スケジューラウィンドウにマップされたプラン内にスケジューラのジョブのジョブ・クラスにマッピングされたコンシューマ・グループのためにリソース割り当てを増加させます。
F. ジョブが属するスケジューラウィンドウの優先度を上げます。
Answer: A,E
Explanation:
Explanation
B: Job priorities are used only to prioritize among jobs in the same class.
Note: Group jobs for prioritization
Within the same job class, you can assign priority values of 1-5 to individual jobs so that if two jobs in the class are scheduled to start at the same time, the one with the higher priority takes precedence. This ensures that you do not have a less important job preventing the timely completion of a more important one.
C: Set resource allocation for member jobs
Job classes provide the link between the Database Resource Manager and the Scheduler, because each job class can specify a resource consumer group as an attribute. Member jobs then belong to the specified consumer group and are assigned resources according to settings in the current resource plan.
NEW QUESTION: 4
An Alexa Skill Builder is interested in gathering information about returning users.
What analytics tool in the developer console would provide the Builder with this information?
A. Customers
B. Sessions
C. Retention
D. Interaction Path
Answer: C
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