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NEW QUESTION: 1
다음 악용 가능성에 대한 시스템의 취약성을 이해하는데 가장 잘 사용되는 평가 메트릭은 무엇입니까?
A. 시스템 내 보안 결함 수 식별
B. 시스템의 사용 가능한 서비스 수량화
C. 장애 발생시 시스템 무결성 측정
D. 특정 기간 동안 시스템이 안전하게 작동할 확률 결정
Answer: A
NEW QUESTION: 2
Which FlexNetwork technologies are designed to simplify the network architecture? (Select two.)
A. HP Systems Insight Manager (SIM)
B. HP Intelligent Resilient Framework (IRF)
C. Software-Defined Networking (SDN)
D. HP TippingPoint Security Management Systems (SMS)
E. Dynamic Quality of Services (QoS) policies
Answer: B,C
Explanation:
Reference: http://www3.networktest.com/hpirf/hpirf1.pdf
NEW QUESTION: 3
Kim Simpson, CFA, manages a $75 million multi-cap growth portfolio. Simpson utilizes a growth at a reasonable price (GARP) investment strategy and her investment universe consists of small, medium and large capitalization stocks. She turns the entire portfolio over once each year. Simpson is concerned about the amount of trading costs she has generated through the implementation of her investment strategy.
Simpson decides to conduct a trade cost analysis with the cooperation of her trader, Janet Long, CFA.
Simpson believes the results of the trading analysis can be used to improve trading performance and help to refine her investment strategy. The first trade they examine is a purchase of 2000 shares of Technology Company that was completed using a market order. Simpson remembers adding to her Technology Company position based on her analyst's recommendation that the company was going to generate earnings significantly above the consensus estimate in a soon to be released earnings report. The order was split into two trades as shown in Figure 1.
Figure 1: Technology Company buy order for 2000 shares
In conducting a comprehensive analysis of the trading markets, Simpson states that she is most concerned about market liquidity. Simpson defines a market with good liquidity as one with diversity of opinion, many buyers/sellers and relatively wide bid-ask spreads. In addition to reviewing market liquidity, Simpson believes that, in order to assess market quality, both the ease with which investors can obtain accurate information and the certainty that a trade will be completed must be evaluated.
Simpson and Long review their trade of Nano Corporation, a small biotechnology company. Simpson used a limit order because her analyst had established a specific buy target and she wanted to hold down transaction costs. To handle both explicit and implicit trading costs, Simpson measures execution costs using implementation shortfall. The buy order for 100,000 shares of Nano stock has the following timeline:
* Nano stock price closes at $35.00 per share.
* Day one: Simpson places a limit order for 100,000 shares of Nano stock at $34.75 per share or better at the opening of trading. However, Nano's stock never falls below $35.00 per share and closes at $36.50 per share.
* Day two: Simpson adjusts her limit order price to $37.00 per share or better. Long is able to fill 50,000 shares of the order at $36.75 per share. Nano's stock climbs to $38.00 per share during the day and Simpson moves the limit price to $40.00 per share or better. Long completes the purchase of the remaining 50,000 shares of Nano at $40.00 per share, which is also the closing price of Nano's stock.
* The commission for each block trade is $2,500.
Long suggests implementing the Best Execution concept as established by the CFA Institute in its Trade Management Guidelines. Long states best execution would accept a high portfolio turnover strategy provided the overall portfolio value is greater after trading costs. Long asserts that her professional relationships are integral to best execution.
The buy order for the Technology Company shares has an average effective spread closest to:
A. $ 0.20.
B. $ 0.15.
C. $ 0.10.
Answer: A
Explanation:
Explanation/Reference:
Explanation:
effective spread (buy order) = 2 x (actual execution price - midpoint of the market at the time an order is entered) effective spread for the order of 700 shares = 2 x (79.25 - 1(79.25 + 79.00) / 2)]) = 0.25 effective spread for the order of 1,300 shares = 2 x (80.00 - 1(80.30 + 79.75) / 2)]) = 0.15 Average effective spread equals the mean effective spread over all transactions for Technology Company.
In this case: average effective spread = (0.25 + 0.15) / 2 = 0.20 (Study Session 16, LOS 45.b)