Free CFA-Level-III Exam Braindumps (page: 39)

Jimena Mora, CFA and Jack Wieters, CFA are economists for Otterbein Forecasting. Otterbein provides economic consulting and forecasting services for institutional investors, medium-sized investment banks, and corporations. In order to forecast the performance of asset classes and formulate strategic asset allocations, Mora and Wieters are currently examining the capital market expectations for four developed countries: Alzano, Lombardo, Bergamo, and Linden. Wieters was hired in 2009 and Mora is his supervisor.
Mora and Wieters use the Grinold and Kroner model to forecast equity market performance. Macroeconomic forecasts and capital market expectations for three countries are given below:

Mora is also examining the return on federal government bills and bonds of various maturities for the country of Linden. The data are provided below:

One of Otterbein Forecasting's largest clients is an institutional investor in Linden, the Balduvi Endowment. The current and potential asset allocations for the endowment are shown below:


Mora asks Wieters for his opinion on the future of the economy in Linden and the appropriate investment for the Balduvi Endowment.
Mora has been asked by the Otterbein CEO to develop a model for explaining stock returns. In her master's degree training, Mora was instructed that the default risk premium has predictive power for stock returns, however the CEO has asked her to include other macroeconomic variables. Mora examines the following data for the capital market history of Bergamo:
1. Default risk premiums, which she measures as the difference in yields between high-yield bonds and government bonds;
2. Maturity risk premiums, which she measures as the difference in yields between ten-year and one-year government bonds; and
3. Lagged changes in the stock market.
Mora uses these variables to explain stock returns in the following year. Using 40 years of data, she finds the following results for the significance of the variables in explaining stock returns:

Mora concludes from the correlation analysis that, of the three variables studied, the default risk premium has the most predictive power for stock returns.
As the most recent hire at Otterbein Forecasting, Wieters is well versed on the latest evidence on asset pricing and financial engineering. However, Mora suspects that his limited experience results in erroneous forecasts. For instance, during the credit crisis of 2007-2008, annual stock returns in Lombardo averaged -12.6%.
However, using the 80-year history of its capital market, annual stock returns in Lombardo have averaged 13.6%. For his clients' strategic asset allocations in 2010 and onward, Wieters projects Lombardo stock returns of 6.5%. As his supervisor, Mora questions him about this and she suggests that Wieters revise his projections upward.
Mora and Wieters are discussing the valuation and risk analysis of emerging market securities and economies. In their discussion, Mora makes the following comments:
Statement 1: "Emerging countries are dependent on foreign financing of growth, but it is important that a country not take on too much debt. A financial crisis can lead to currency devaluations and capital flight. Foreign debt levels greater than 50% of GDP or debt greater than 200% of current account receipts may indicate that a country is over-levered."
Statement 2: "In financial crises, emerging market debt is particularly susceptible, as currency devaluations will quickly reduce the principal and coupon value. Because most emerging debt is denominated in a domestic currency, the emerging government must have foreign currency reserves to defend its currency in the foreign exchange markets."


Which of the following psychological traps is Mora likely susceptible to in her analysis of Bergamo stock returns?

Jimena Mora, CFA and Jack Wieters, CFA are economists for Otterbein Forecasting. Otterbein provides economic consulting and forecasting services for institutional investors, medium-sized investment banks, and corporations. In order to forecast the performance of asset classes and formulate strategic asset allocations, Mora and Wieters are currently examining the capital market expectations for four developed countries: Alzano, Lombardo, Bergamo, and Linden. Wieters was hired in 2009 and Mora is his supervisor.
Mora and Wieters use the Grinold and Kroner model to forecast equity market performance. Macroeconomic forecasts and capital market expectations for three countries are given below:

Mora is also examining the return on federal government bills and bonds of various maturities for the country of Linden. The data are provided below:

One of Otterbein Forecasting's largest clients is an institutional investor in Linden, the Balduvi Endowment. The current and potential asset allocations for the endowment are shown below:


Mora asks Wieters for his opinion on the future of the economy in Linden and the appropriate investment for the Balduvi Endowment.
Mora has been asked by the Otterbein CEO to develop a model for explaining stock returns. In her master's degree training, Mora was instructed that the default risk premium has predictive power for stock returns, however the CEO has asked her to include other macroeconomic variables. Mora examines the following data for the capital market history of Bergamo:
1. Default risk premiums, which she measures as the difference in yields between high-yield bonds and government bonds;
2. Maturity risk premiums, which she measures as the difference in yields between ten-year and one-year government bonds; and
3. Lagged changes in the stock market.
Mora uses these variables to explain stock returns in the following year. Using 40 years of data, she finds the following results for the significance of the variables in explaining stock returns:

Mora concludes from the correlation analysis that, of the three variables studied, the default risk premium has the most predictive power for stock returns.
As the most recent hire at Otterbein Forecasting, Wieters is well versed on the latest evidence on asset pricing and financial engineering. However, Mora suspects that his limited experience results in erroneous forecasts. For instance, during the credit crisis of 2007-2008, annual stock returns in Lombardo averaged -12.6%.
However, using the 80-year history of its capital market, annual stock returns in Lombardo have averaged 13.6%. For his clients' strategic asset allocations in 2010 and onward, Wieters projects Lombardo stock returns of 6.5%. As his supervisor, Mora questions him about this and she suggests that Wieters revise his projections upward.
Mora and Wieters are discussing the valuation and risk analysis of emerging market securities and economies. In their discussion, Mora makes the following comments:
Statement 1: "Emerging countries are dependent on foreign financing of growth, but it is important that a country not take on too much debt. A financial crisis can lead to currency devaluations and capital flight. Foreign debt levels greater than 50% of GDP or debt greater than 200% of current account receipts may indicate that a country is over-levered."
Statement 2: "In financial crises, emerging market debt is particularly susceptible, as currency devaluations will quickly reduce the principal and coupon value. Because most emerging debt is denominated in a domestic currency, the emerging government must have foreign currency reserves to defend its currency in the foreign exchange markets."

Which of the following psychological traps is Wieters likely susceptible to in his forecast of Lombardo stock returns?

Jimena Mora, CFA and Jack Wieters, CFA are economists for Otterbein Forecasting. Otterbein provides economic consulting and forecasting services for institutional investors, medium-sized investment banks, and corporations. In order to forecast the performance of asset classes and formulate strategic asset allocations, Mora and Wieters are currently examining the capital market expectations for four developed countries: Alzano, Lombardo, Bergamo, and Linden. Wieters was hired in 2009 and Mora is his supervisor.
Mora and Wieters use the Grinold and Kroner model to forecast equity market performance. Macroeconomic forecasts and capital market expectations for three countries are given below:

Mora is also examining the return on federal government bills and bonds of various maturities for the country of Linden. The data are provided below:

One of Otterbein Forecasting's largest clients is an institutional investor in Linden, the Balduvi Endowment. The current and potential asset allocations for the endowment are shown below:


Mora asks Wieters for his opinion on the future of the economy in Linden and the appropriate investment for the Balduvi Endowment.
Mora has been asked by the Otterbein CEO to develop a model for explaining stock returns. In her master's degree training, Mora was instructed that the default risk premium has predictive power for stock returns, however the CEO has asked her to include other macroeconomic variables. Mora examines the following data for the capital market history of Bergamo:
1. Default risk premiums, which she measures as the difference in yields between high-yield bonds and government bonds;
2. Maturity risk premiums, which she measures as the difference in yields between ten-year and one-year government bonds; and
3. Lagged changes in the stock market.
Mora uses these variables to explain stock returns in the following year. Using 40 years of data, she finds the following results for the significance of the variables in explaining stock returns:

Mora concludes from the correlation analysis that, of the three variables studied, the default risk premium has the most predictive power for stock returns.
As the most recent hire at Otterbein Forecasting, Wieters is well versed on the latest evidence on asset pricing and financial engineering. However, Mora suspects that his limited experience results in erroneous forecasts. For instance, during the credit crisis of 2007-2008, annual stock returns in Lombardo averaged -12.6%.
However, using the 80-year history of its capital market, annual stock returns in Lombardo have averaged 13.6%. For his clients' strategic asset allocations in 2010 and onward, Wieters projects Lombardo stock returns of 6.5%. As his supervisor, Mora questions him about this and she suggests that Wieters revise his projections upward.
Mora and Wieters are discussing the valuation and risk analysis of emerging market securities and economies. In their discussion, Mora makes the following comments:
Statement 1: "Emerging countries are dependent on foreign financing of growth, but it is important that a country not take on too much debt. A financial crisis can lead to currency devaluations and capital flight. Foreign debt levels greater than 50% of GDP or debt greater than 200% of current account receipts may indicate that a country is over-levered."
Statement 2: "In financial crises, emerging market debt is particularly susceptible, as currency devaluations will quickly reduce the principal and coupon value. Because most emerging debt is denominated in a domestic currency, the emerging government must have foreign currency reserves to defend its currency in the foreign exchange markets."

Regarding the statements made by Mora on the analysis of emerging market securities and economies, are both statements correct?

Dan Draper, CFA is a portfolio manager at Madison Securities. Draper is analyzing several portfolios which have just been assigned to him. In each case, there is a clear statement of portfolio objectives and constraints, as welt as an initial strategic asset allocation. However, Draper has found that all of the portfolios have experienced changes in asset values. As a result, the current allocations have drifted away from the initial allocation. Draper is considering various rebalancing strategies that would keep the portfolios in line with their proposed asset allocation targets.
Draper spoke to Peter Sterling, a colleague at Madison, about calendar rebalancing. During their conversation, Sterling made the following comments:
Comment 1: Calendar rebalancing will be most efficient when the rebalancing frequency considers the volatility of the asset classes in the portfolio.
Comment 2: Calendar rebalancing on an annual basis will typically minimize market impact relative to more frequent rebalancing.
Draper believes that a percentage-of-portfolio rebalancing strategy will be preferable to calendar rebalancing, but he is uncertain as to how to set the corridor widths to trigger rebalancing for each asset class. As an example, Draper is evaluating the Rogers Corp. pension plan, whose portfolio is described in Figure 1.


Draper has been reviewing Madison files on four high net worth individuals, each of whom has a $1 million portfolio. He hopes to gain insight as to appropriate rebalancing strategies for these clients. His research so far shows:
Client A is 60 years old, and wants to be sure of having at least $800,000 upon his retirement. His risk tolerance drops dramatically whenever his portfolio declines in value. He agrees with the Madison stock market outlook, which is for a long-term bull market with few reversals.
Client B is 35 years old and wants to hold stocks regardless of the value of her portfolio. She also agrees with the Madison stock market outlook.
Client C is 40 years old, and her absolute risk tolerance varies proportionately with the value of her portfolio. She does not agree with the Madison stock market outlook, but expects a choppy stock market, marked by numerous reversals, over the coming months.
indicate whether Sterling's comments related to calendar rebalancing are correct or incorrect.