Free CFA-Level-III Exam Braindumps (page: 31)

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Maurice Taylor, CFA, FRM, is responsible for managing risk in his firm's commodity portfolios. Taylor has extensive experience in the risk management field and as a result has been appointed the task of mentoring entry-level employees. Steven Jacobs is a newly hired Financial Analyst who has been assigned to research the company's risk management process. To verify the accuracy of his findings he consults Taylor. Taylor agrees to thoroughly review Jacobs* findings and volunteers to contribute his knowledge to enhance any part of the report that mentions Taylor's department.

A week later Jacobs, submits his report to his supervisor without reading Taylor's suggestions. Some excerpts from the report are as follows;
• "Many portfolio managers use a ratio that compares the average alpha to the standard deviation of alpha to measure risk-adjusted performance. This ratio can be used to rank their ability to generate excess returns on a consistent basis."
"The main difference between risk governance and risk budgeting is that risk governance is concerned with policies and standards, whereas risk budgeting is concerned with allocating risk."
• "In an ERM system individual portfolio managers are charged with measuring, managing, and monitoring their portfolio risk as well as determining their optimal amount of capital at risk. With this information upper management gains a better overall picture of the firm's risk."
• "The two general categories of risk are financial and non-financial risks. Financial risks include market risk and credit risk. Non-financial risks include settlement risk, regulatory risk, model risk, liquidity risk, operations risk, and political risk."
Jacobs' supervisor thanks him for the report and assigns him the next task of researching the firm's VAR calculation methodologies. His supervisor is wondering if the firm should switch to the Monte Carlo Method from the Historical Method. Jacobs again decides to consult Taylor for his expertise. Taylor agrees that using the Monte Carlo Method would be useful since it incorporates returns distributions rather than single point estimates of risk and return- This may be appropriate for Taylor's portfolios since commodity returns can exhibit skewed distributions. Taylor, however, informs Jacobs that there are also advantages to using historical VAR including that it is based on modern portfolio theory (MPT).
Jacobs uses the firm's small cap value portfolio to illustrate the calculation of VAR. The value of the portfolio is $140 million and it has an annual expected return of 12.10%. The annual standard deviation of returns is 18.20%. Assuming a standard normal distribution, 5% of the potential portfolio values are more than 1.65 standard deviations below the expected return.
Jacobs completes his research report on VAR by adding an appendix section on extensions of VAR. He states that one extension that can be particularly valuable in risk management measures the impact of a single asset on the portfolio VAR. This measure captures the effects of the correlations of the individual assets on the overall portfolio VAR.

Are Taylor's second and third statements on the differences between risk governance and risk budgeting and ERM systems correct?

  1. Only Taylor's third statement is correct.
  2. Taylor is correct regarding both statements.
  3. Only Taylor's second statement is correct.

Answer(s): C

Explanation:

The risk governance and risk budgeting statement (the second statement) is correct. Risk governance is part of the firm's overall corporate governance system and is the process of developing a risk management system and putting it into operation. A decentralized risk governance system puts risk management into the hands of those closest to the risk (e.g., individual managers). The primary drawback to a decentralized system is the inability for individual managers to gain a sense ol how their risk affects the firm's overall risk. A centralized system is called an Enterprise Risk Management system (ERM). ERM systems are managed by top management who are better positioned to view and analyze the firm's overall risk.
Risk budgeting is the process of determining which risks are acceptable and how total risk is allocated across business units or portfolio managers. Through the ERM system upper management allocates capital across portfolio managers, each with an associated VAR.
The ERM statement (the third statement) is incorrect. Individual managers cannot determine the correlation of their portfolio risk to that of other managers, so only upper management is in a position to measure and monitor firm risk. In an ERM system upper management allocates capital to each manager based on the manager’s risk and the desired overall firm risk. (Study Session 14, LOS 40.a)



Maurice Taylor, CFA, FRM, is responsible for managing risk in his firm's commodity portfolios. Taylor has extensive experience in the risk management field and as a result has been appointed the task of mentoring entry-level employees. Steven Jacobs is a newly hired Financial Analyst who has been assigned to research the company's risk management process. To verify the accuracy of his findings he consults Taylor. Taylor agrees to thoroughly review Jacobs* findings and volunteers to contribute his knowledge to enhance any part of the report that mentions Taylor's department.

A week later Jacobs, submits his report to his supervisor without reading Taylor's suggestions. Some excerpts from the report are as follows;
• "Many portfolio managers use a ratio that compares the average alpha to the standard deviation of alpha to measure risk-adjusted performance. This ratio can be used to rank their ability to generate excess returns on a consistent basis."
"The main difference between risk governance and risk budgeting is that risk governance is concerned with policies and standards, whereas risk budgeting is concerned with allocating risk."
• "In an ERM system individual portfolio managers are charged with measuring, managing, and monitoring their portfolio risk as well as determining their optimal amount of capital at risk. With this information upper management gains a better overall picture of the firm's risk."
• "The two general categories of risk are financial and non-financial risks. Financial risks include market risk and credit risk. Non-financial risks include settlement risk, regulatory risk, model risk, liquidity risk, operations risk, and political risk."

Jacobs' supervisor thanks him for the report and assigns him the next task of researching the firm's VAR calculation methodologies. His supervisor is wondering if the firm should switch to the Monte Carlo Method from the Historical Method. Jacobs again decides to consult Taylor for his expertise. Taylor agrees that using the Monte Carlo Method would be useful since it incorporates returns distributions rather than single point estimates of risk and return- This may be appropriate for Taylor's portfolios since commodity returns can exhibit skewed distributions. Taylor, however, informs Jacobs that there are also advantages to using historical VAR including that it is based on modern portfolio theory (MPT).
Jacobs uses the firm's small cap value portfolio to illustrate the calculation of VAR. The value of the portfolio is $140 million and it has an annual expected return of 12.10%. The annual standard deviation of returns is 18.20%. Assuming a standard normal distribution, 5% of the potential portfolio values are more than 1.65 standard deviations below the expected return.
Jacobs completes his research report on VAR by adding an appendix section on extensions of VAR. He states that one extension that can be particularly valuable in risk management measures the impact of a single asset on the portfolio VAR. This measure captures the effects of the correlations of the individual assets on the overall portfolio VAR.
In Jacobs' list of non-financial risks in his fourth statement, all are non-financial except:

  1. settlement risk.
  2. operations risk.
  3. liquidity risk.

Answer(s): C

Explanation:

Liquidity risk is the possibility of sustaining losses due to the inability to take or liquidate a position quickly at a fair price. It is considered a financial risk. (Study Session 14, LOS 40.d)



Maurice Taylor, CFA, FRM, is responsible for managing risk in his firm's commodity portfolios. Taylor has extensive experience in the risk management field and as a result has been appointed the task of mentoring entry-level employees. Steven Jacobs is a newly hired Financial Analyst who has been assigned to research the company's risk management process. To verify the accuracy of his findings he consults Taylor. Taylor agrees to thoroughly review Jacobs* findings and volunteers to contribute his knowledge to enhance any part of the report that mentions Taylor's department.

A week later Jacobs, submits his report to his supervisor without reading Taylor's suggestions. Some excerpts from the report are as follows;
• "Many portfolio managers use a ratio that compares the average alpha to the standard deviation of alpha to measure risk-adjusted performance. This ratio can be used to rank their ability to generate excess returns on a consistent basis."
"The main difference between risk governance and risk budgeting is that risk governance is concerned with policies and standards, whereas risk budgeting is concerned with allocating risk."
• "In an ERM system individual portfolio managers are charged with measuring, managing, and monitoring their portfolio risk as well as determining their optimal amount of capital at risk. With this information upper management gains a better overall picture of the firm's risk."
• "The two general categories of risk are financial and non-financial risks. Financial risks include market risk and credit risk. Non-financial risks include settlement risk, regulatory risk, model risk, liquidity risk, operations risk, and political risk."

Jacobs' supervisor thanks him for the report and assigns him the next task of researching the firm's VAR calculation methodologies. His supervisor is wondering if the firm should switch to the Monte Carlo Method from the Historical Method. Jacobs again decides to consult Taylor for his expertise. Taylor agrees that using the Monte Carlo Method would be useful since it incorporates returns distributions rather than single point estimates of risk and return- This may be appropriate for Taylor's portfolios since commodity returns can exhibit skewed distributions. Taylor, however, informs Jacobs that there are also advantages to using historical VAR including that it is based on modern portfolio theory (MPT).
Jacobs uses the firm's small cap value portfolio to illustrate the calculation of VAR. The value of the portfolio is $140 million and it has an annual expected return of 12.10%. The annual standard deviation of returns is 18.20%. Assuming a standard normal distribution, 5% of the potential portfolio values are more than 1.65 standard deviations below the expected return.
Jacobs completes his research report on VAR by adding an appendix section on extensions of VAR. He states that one extension that can be particularly valuable in risk management measures the impact of a single asset on the portfolio VAR. This measure captures the effects of the correlations of the individual assets on the overall portfolio VAR.
Are Taylor's statements on the advantages of the Monte Carlo Method and the Historical VAR correct?

  1. Only the statement about the Monte Carlo method is correct.
  2. Only the statement about Historical VAR is correct.
  3. Both are correct.

Answer(s): A

Explanation:

The Monte Carlo statement is correct. The main advantage of the Monte Carlo Method is the ability to incorporate any returns distribution or asset correlation. The historical VAR statement is incorrect. The variance/covariance method, not the historical method, is based on MPT. (Study Session 14, LOS 40.f)



Maurice Taylor, CFA, FRM, is responsible for managing risk in his firm's commodity portfolios. Taylor has extensive experience in the risk management field and as a result has been appointed the task of mentoring entry-level employees. Steven Jacobs is a newly hired Financial Analyst who has been assigned to research the company's risk management process. To verify the accuracy of his findings he consults Taylor. Taylor agrees to thoroughly review Jacobs* findings and volunteers to contribute his knowledge to enhance any part of the report that mentions Taylor's department.
A week later Jacobs, submits his report to his supervisor without reading Taylor's suggestions. Some excerpts from the report are as follows;
• "Many portfolio managers use a ratio that compares the average alpha to the standard deviation of alpha to measure risk-adjusted performance. This ratio can be used to rank their ability to generate excess returns on a consistent basis."
"The main difference between risk governance and risk budgeting is that risk governance is concerned with policies and standards, whereas risk budgeting is concerned with allocating risk."
• "In an ERM system individual portfolio managers are charged with measuring, managing, and monitoring their portfolio risk as well as determining their optimal amount of capital at risk. With this information upper management gains a better overall picture of the firm's risk."
• "The two general categories of risk are financial and non-financial risks. Financial risks include market risk and credit risk. Non-financial risks include settlement risk, regulatory risk, model risk, liquidity risk, operations risk, and political risk."

Jacobs' supervisor thanks him for the report and assigns him the next task of researching the firm's VAR calculation methodologies. His supervisor is wondering if the firm should switch to the Monte Carlo Method from the Historical Method. Jacobs again decides to consult Taylor for his expertise. Taylor agrees that using the Monte Carlo Method would be useful since it incorporates returns distributions rather than single point estimates of risk and return- This may be appropriate for Taylor's portfolios since commodity returns can exhibit skewed distributions. Taylor, however, informs Jacobs that there are also advantages to using historical VAR including that it is based on modern portfolio theory (MPT).
Jacobs uses the firm's small cap value portfolio to illustrate the calculation of VAR. The value of the portfolio is $140 million and it has an annual expected return of 12.10%. The annual standard deviation of returns is 18.20%. Assuming a standard normal distribution, 5% of the potential portfolio values are more than 1.65 standard deviations below the expected return.
Jacobs completes his research report on VAR by adding an appendix section on extensions of VAR. He states that one extension that can be particularly valuable in risk management measures the impact of a single asset on the portfolio VAR. This measure captures the effects of the correlations of the individual assets on the overall portfolio VAR.

Assuming its returns are normally distributed and there are 250 trading days in the year, the daily VAR Jacobs will calculate for the small cap value portfolio is closest to:

  1. $2.59 million.
  2. $25.10 million.
  3. $27.88 million.

Answer(s): A

Explanation:

To calculate the daily VAR, we must first calculate a daily expected return and daily standard deviation. Note that to obtain a daily standard deviation from an annual standard deviation, we must divide the annual standard deviation by the square root of 250. We then calculate a daily percent VAR by subtracting 1.65 times the daily standard deviation from the daily expected return. The daily dollar VAR is calculated last using the fund's asset base:
Daily expected return = 12.1% / 250 = 0.0484%Daily standard deviation = 18.2% / (250)0.5 -1.1511%Daily percent VAR = 0.0484% - (1.65 x 1.1511%) = -1.8509%Daily dollar VAR = $140 x 1.8509% = $2.59 million. (Study Session 14, LOS 40.e)






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