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NEW QUESTION: 1
Tamara Ogle, CFA, and Isaac Segovia, CAIA, are portfolio managers for Luca's Investment Management (Luca's). Ogle and Segovia both manage large institutional investment portfolios for Luca's and are researching portfolio optimization strategies.
Ogle and Segovia begin by researching the merits of active versus passive portfolio management. Ogle advocates a passive approach, pointing out that on a risk-adjusted basis, most managers cannot beat a passive index strategy. Segovia points out that there will always be a need for active portfolio managers because as prices deviate from fair value, active managers will bring prices back into equilibrium. They determine that Treynor-Black models permit active management within the context of normally efficient markets.
Ogle decides to implement Treynor-Black models in her practice and starts the implementation process. In conversations with her largest client's risk manager, Jim King, FRM, she is asked about separation theorem in relation to active portfolio management. She responds that separation theorem more properly relates to asset prices deviating from and gravitating toward their theoretical fair price. King next asks Ogle about the differences between the Sharpe ratio and the information ratio and the difference between the security market line (SML) and the capital market line (CML).
After reallocating her client portfolios based on using the Treynor-Black model, Ogle discusses the results with Segovia. Ogle states that she is satisfied with the current methodology, but given her preference for passive management, she is still concerned about relying on analyst's forecasts. Segovia tells Ogle that he will research methods for modifying the Treynor-Black model to account for analyst forecasts.
The optimal risky portfolio determined by the Treynor-Black model has an allocation of 30% to the active portfolio and a Sharpe ratio of 0.45. Given that the risk-free rate is 3%, the standard deviation of the market (passive) portfolio is 20%, and the expected return on the optimal risky portfolio is 10%, the standard deviation of an investor's optimal portfolio that is allocated 70% to the risk-free asset is closest to:
A. 6.0%.
B. 5.2%.
C. 4.7%.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
The Sharpe ratio for the optimal risky asset portfolio (a combination of the passive market index portfolio and the optimal active security selection portfolio) is its excess return (risk premium) divided by its standard deviation, so we have 0.45 ~ (10 - 3) / , and the standard deviation of the optimal risky portfolio = 7/ 0.45
15.55%. With a 70% allocation to the risk-free asset, the investors optimal portfolio will have a standard deviation of (1 - 07) 15.55 = 4.67%. (Study Session 18, LOS 64.f)

NEW QUESTION: 2
Who does provide a special kind of attribute definition called special attributes that do not have a mapping to a real attribute of the configured type?
A. General
B. Syntax of ImpEx
C. Functions
D. Employees
Answer: B

NEW QUESTION: 3
Which statements are true of sequence numbers in Amazon Kinesis? (choose three)
A. A data pipeline is a group of data records in a stream.
B. The longer the time period between PutRecord or PutRecords requests, the larger the sequence number becomes.
C. Sequence numbers are assigned by Amazon Kinesis when a data producer calls PutRecords operation to add data to an Amazon Kinesis stream
D. Sequence numbers are assigned by Amazon Kinesis when a data producer calls PutRecord operation to add data to an Amazon Kinesis stream
Answer: B,C,D
Explanation:
Sequence numbers in amazon Kinesis are assigned by Amazon Kinesis when a data producer calls PutRecord operation to add data to an Amazon Kinesis stream. Sequence numbers are assigned by Amazon Kinesis when a data producer calls PutRecords operation to add data to an Amazon Kinesis stream. Sequence numbers for the same partition key generally increase over time.The longer the time period between PutRecord or PutRecords requests, the larger the sequence number becomes.
Reference: http://docs.aws.amazon.com/streams/latest/dev/working-with-kinesis.html

NEW QUESTION: 4
Given the class?
public class Name implements Comparable<Name> {
String first, last;
public Name(String first, String last) {
this.first = first;
this.last = last;
}
public int compareTo (Name n) {
int cmpLast = last.compareTo(n.last);
return cmpLast != 0 ? cmpLast : first.compareTo(n.first);
}
public String toString() {
return first + " " + last;
}
}
and the code fragment:
ArrayList<Name> list = new ArrayList<Name>();
list.add (new Name("Joe","Shmoe"));
list.add (new Name("John","Doe"));
list.add (new Name("Jane","Doe"));
Collections.sort(list);
for (Name n : list) {
System.out.println(n);
}
What is the result?
A. Joe Shmoe Jane Doe John Doe
B. Jane Doe John Doe Joe Shmoe
C. Jane Doe Joe Shmoe John Doe
D. John Doe Joe Shmoe Jane Doe
E. Joe Shmoe John Doe Jane Doe
F. John Doe Jane Doe Joe Shmoe
Answer: B
Explanation:
The list will be sortedalpabethically. Output will be: Jane Doe John Doe Joe Shmoe