Free CFA-Level-III Exam Braindumps
CFA Level III Chartered Financial Analyst Questions 146–150 (page: 31)

Updated On: 9-Feb-2026

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."

Using the Grinold and Kroner model, which of the three countries has the highest expected return for its equity market?

  1. Alzano.
  2. Bergamo.
  3. Lombardo.

Answer(s): B

Explanation:

Using the Grinold and Kroner model, the expected return on a stock market is its dividend yield plus the inflation rare plus the real earnings growth rate minus the change in stock outstanding plus changes in the P/E ratio:

The highest expected return is for Bergamo. The expected equity market return calculations for Alzano (A), Bergamo (B), and Lombardo (L) are:

Note that when the change in stock outstanding decreases (i.e., stock is repurchased), this is to the investor's benefit (the repurchase yield is positive). Changes in the P/E ratio also affect the expected return. If investors think, for example, that stocks will be less risky in the future, the P/E ratio will increase, and the expected return on stocks increases. (Study Session 6, LOS 23.c)



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."

What does the bond data predict for the future of the economy in Linden?

  1. The economy is likely to expand in the future.
  2. The economy is likely to contract in the future.
  3. The economy is likely to experience no growth in the future.

Answer(s): B

Explanation:

The data show that yields are declining as maturity increases, therefore the yield curve is inverted. The downward sloping yield curve indicates that the economy is likely to contract in the future. (Study Session 6, LOS 23.i)



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."

Using only the forecast for the Linden economy, which of the following portfolios should Wieters recommend for the Balduvi Endowment?

  1. Portfolio
  2. Portfolio
  3. Portfolio

Answer(s): C

Explanation:

Given chat the Linden economy is likely co contract in the future, Wieters should recommend that the Balduvi Endowment move toward government and investment grade bonds, because inflation and interest rates will decrease and economic growth will slow. Stocks, especially cyclical stocks, should be underweighted. High yield bonds should also be underweighted, because the default risk premium on them may grow as the economy slows. Therefore, Wieters should recommend Portfolio C for the Balduvi Endowment. (Study Session 6, LOS 23.f, g, n, o, q)



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?

  1. Status Quo trap.
  2. Rccallability trap.
  3. Confirming Evidence trap.

Answer(s): C

Explanation:

Mora is likely susceptible co the confirming evidence trap. The confirming evidence trap is when analysts give too much credence to evidence that supports their existing or favored beliefs. Note that Mora's prior belief from her master's degree training was that the default risk premium has predictive power for stock returns. In the analysis, it appears that lagged changes in the stock market have a strong relationship with future stock returns. Mora’s conclusions seem to focus solely on the default risk premium.
It could be argued that she is also susceptible to the anchoring trap because she puts too much weight on the first set of information she received (from her Masters studies).
(Study Session 6, LOS 23.b)



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?

  1. Anchoring trap.
  2. Status Quo trap.
  3. Recallability trap.

Answer(s): C

Explanation:

Wieters is likely susceptible to the recallability trap. The recallability trap is when analysts let past disasters or dramatic events weigh too heavily in their forecasts. Although the 80-year history indicates that Lombardo stocks returns average 13.6%, Wieters projects returns much lower. He may be letting the credit crisis of 2007- 2008 overly influence his predictions.
It might be argued that he is also susceptible to the status quo trap, because his prediction is influenced by recent events, but in this trap he would probably predict closer to the recent value of-12.6% in his forecasts. (Study Session 6, LOS 23.b)



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