Question
The table below sets out the monthly total return, market capitalization, and research spending for ten firms over the four months from January 2020 to
The table below sets out the monthly total return, market capitalization, and research spending for ten firms over the four months from January 2020 to April 2020 inclusive. Each figure was observed at the end of the corresponding month.
Monthly Return (%) | ||||||||||
Firm1 | Firm2 | Firm3 | Firm4 | Firm5 | Firm6 | Firm7 | Firm8 | Firm9 | Firm10 | |
Jan | 9% | -9% | -3% | 5% | 10% | -3% | 5% | 10% | 5% | -10% |
Feb | -8% | 10% | -6% | -7% | 1% | -2% | -7% | 6% | 4% | 9% |
Mar | -3% | -10% | -1% | -7% | 2% | 0% | -5% | -7% | 6% | 10% |
Apr | 10% | -10% | -4% | 4% | 9% | 8% | -2% | 2% | 4% | 4% |
Market Capitalization ($ bn) | ||||||||||
Firm1 | Firm2 | Firm3 | Firm4 | Firm5 | Firm6 | Firm7 | Firm8 | Firm9 | Firm10 | |
Jan | 306 | 255 | 505 | 693 | 104 | 147 | 310 | 432 | 546 | 612 |
Feb | 282 | 281 | 475 | 644 | 105 | 144 | 288 | 458 | 568 | 667 |
Mar | 273 | 252 | 470 | 599 | 107 | 144 | 274 | 426 | 602 | 734 |
Apr | 300 | 227 | 451 | 623 | 117 | 156 | 268 | 434 | 626 | 763 |
Research Spending (%) | ||||||||||
Firm1 | Firm2 | Firm3 | Firm4 | Firm5 | Firm6 | Firm7 | Firm8 | Firm9 | Firm10 | |
Jan | 0% | 11% | 5% | 0% | 2% | 17% | 13% | 7% | 2% | 3% |
Feb | 1% | 17% | 4% | 4% | 3% | 20% | 7% | 20% | 7% | 0% |
Mar | 12% | 1% | 9% | 4% | 10% | 15% | 14% | 3% | 8% | 4% |
Apr | 18% | 0% | 13% | 2% | 0% | 14% | 1% | 16% | 4% | 18% |
- Calculate the value-weighted average returns in April 2020 for each of the quintile portfolios formed by sorting on lagged Research Spending. Use lagged market capitalization for calculating value-weighted returns. (Hint: There are five quintile portfolios, each containing one fifth of all the stocks.)
- Calculate the value-weighted quintile hedge portfolio returns (aka factor portfolio returns equal to Quintile 5 minus Quintile 1 returns) in February, March, and April 2020.
- Briefly explain why portfolios need to be sorted on lagged Research Spending to test return predictability.
(Plz use excel if possible! )
ATTACHMENT:
The table below sets out the monthly total return, market capitalization, and research spending for ten firms over the four months from January 2020 to April 2020 inclusive. Each figure was observed at the end of the corresponding month. Jan Feb Mar Apr Firm1 9% -8% -3% 10% Firm2 -9% 10% -10% -10% Firm3 -3% -6% -1% -4% Monthly Return (%) Firm4 Firm5 Firm6 | Firm 7 5% 10% -3% 5% -7% 1% -2% -7% -7% 2% 0% -5% 4% 9% 8% -2% Firm8 10% 6% -7% 2% Firm 9 5% 4% 6% 4% Firm 10 -10% 9% 10% 4% Jan Feb Mar | Apr Market Capitalization ($bn) Firm1 Firm2 Firm3 Firm4 | Firm5 Firm6 Firm7 306 255505693104147310 282 281 475 644 105 144 288 273252470599 107 144 274 300 2 27 451 623 117 156 268 Firm8 432 4 58 426 434 Firm 9 546 568 602 626 Firm 10 612 667 734 763 Jan Feb Mar Apr Firm1 0% 1% 12% 18% Firm2 11% 17% 1% 0% Firm3 5% 4% 9% 13% Research Spending (%) Firm4 Firm5 Firm 6 Firm7 0% 2% 17% 13% 4% 3% 20% 7% 4% 10% 15% 14% 2% 0% 14% 1% Firm8 7% 20% 3% 16% Firm 9 2% 7% 8% 4% Firm 10 3% 0% 4% 18% a) Calculate the value-weighted average returns in April 2020 for each of the quintile portfolios formed by sorting on lagged Research Spending. Use lagged market capitalization for calculating value-weighted returns. (Hint: There are five quintile portfolios, each containing one fifth of all the stocks.) b) Calculate the value-weighted quintile hedge portfolio returns (aka factor portfolio returns equal to Quintile 5 minus Quintile 1 returns) in February, March, and April 2020. 6) Briefly escaleta wty portfolios need t c) Briefly explain why portfolios need to be sorted on lagged Research Spending to test return predictability. The table below sets out the monthly total return, market capitalization, and research spending for ten firms over the four months from January 2020 to April 2020 inclusive. Each figure was observed at the end of the corresponding month. Jan Feb Mar Apr Firm1 9% -8% -3% 10% Firm2 -9% 10% -10% -10% Firm3 -3% -6% -1% -4% Monthly Return (%) Firm4 Firm5 Firm6 | Firm 7 5% 10% -3% 5% -7% 1% -2% -7% -7% 2% 0% -5% 4% 9% 8% -2% Firm8 10% 6% -7% 2% Firm 9 5% 4% 6% 4% Firm 10 -10% 9% 10% 4% Jan Feb Mar | Apr Market Capitalization ($bn) Firm1 Firm2 Firm3 Firm4 | Firm5 Firm6 Firm7 306 255505693104147310 282 281 475 644 105 144 288 273252470599 107 144 274 300 2 27 451 623 117 156 268 Firm8 432 4 58 426 434 Firm 9 546 568 602 626 Firm 10 612 667 734 763 Jan Feb Mar Apr Firm1 0% 1% 12% 18% Firm2 11% 17% 1% 0% Firm3 5% 4% 9% 13% Research Spending (%) Firm4 Firm5 Firm 6 Firm7 0% 2% 17% 13% 4% 3% 20% 7% 4% 10% 15% 14% 2% 0% 14% 1% Firm8 7% 20% 3% 16% Firm 9 2% 7% 8% 4% Firm 10 3% 0% 4% 18% a) Calculate the value-weighted average returns in April 2020 for each of the quintile portfolios formed by sorting on lagged Research Spending. Use lagged market capitalization for calculating value-weighted returns. (Hint: There are five quintile portfolios, each containing one fifth of all the stocks.) b) Calculate the value-weighted quintile hedge portfolio returns (aka factor portfolio returns equal to Quintile 5 minus Quintile 1 returns) in February, March, and April 2020. 6) Briefly escaleta wty portfolios need t c) Briefly explain why portfolios need to be sorted on lagged Research Spending to test return predictability
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