Capital Asset Pricing Model (CAPM)
Capital asset pricing model (CAPM) indicates what should be the expected or required rate of return on risky assets like International Business Machines Corp. common stock.
Paying user area
Try for free
International Business Machines Corp. pages available for free this week:
- Statement of Comprehensive Income
- Cash Flow Statement
- Common-Size Balance Sheet: Liabilities and Stockholders’ Equity
- Analysis of Liquidity Ratios
- Analysis of Reportable Segments
- Common Stock Valuation Ratios
- Present Value of Free Cash Flow to Equity (FCFE)
- Total Asset Turnover since 2005
- Price to Book Value (P/BV) since 2005
- Analysis of Debt
The data is hidden behind: . Unhide it.
Get full access to the entire website from $10.42/mo, or
get 1-month access to International Business Machines Corp. for $24.99.
This is a one-time payment. There is no automatic renewal.
We accept:
Rates of Return
International Business Machines Corp., monthly rates of return
| International Business Machines Corp. (IBM) | Standard & Poor’s 500 (S&P 500) | |||||
|---|---|---|---|---|---|---|
| t | Date | PriceIBM,t1 | DividendIBM,t1 | RIBM,t2 | PriceS&P 500,t | RS&P 500,t3 |
| Jan 31, 2019 | ||||||
| 1. | Feb 28, 2019 | |||||
| 2. | Mar 31, 2019 | |||||
| 3. | Apr 30, 2019 | |||||
| . | . | . | . | . | . | . |
| . | . | . | . | . | . | . |
| . | . | . | . | . | . | . |
| 58. | Nov 30, 2023 | |||||
| 59. | Dec 31, 2023 | |||||
| Average (R): | ||||||
| Standard deviation: | ||||||
| International Business Machines Corp. (IBM) | Standard & Poor’s 500 (S&P 500) | |||||
|---|---|---|---|---|---|---|
| t | Date | PriceIBM,t1 | DividendIBM,t1 | RIBM,t2 | PriceS&P 500,t | RS&P 500,t3 |
| Jan 31, 2019 | ||||||
| 1. | Feb 28, 2019 | |||||
| 2. | Mar 31, 2019 | |||||
| 3. | Apr 30, 2019 | |||||
| 4. | May 31, 2019 | |||||
| 5. | Jun 30, 2019 | |||||
| 6. | Jul 31, 2019 | |||||
| 7. | Aug 31, 2019 | |||||
| 8. | Sep 30, 2019 | |||||
| 9. | Oct 31, 2019 | |||||
| 10. | Nov 30, 2019 | |||||
| 11. | Dec 31, 2019 | |||||
| 12. | Jan 31, 2020 | |||||
| 13. | Feb 29, 2020 | |||||
| 14. | Mar 31, 2020 | |||||
| 15. | Apr 30, 2020 | |||||
| 16. | May 31, 2020 | |||||
| 17. | Jun 30, 2020 | |||||
| 18. | Jul 31, 2020 | |||||
| 19. | Aug 31, 2020 | |||||
| 20. | Sep 30, 2020 | |||||
| 21. | Oct 31, 2020 | |||||
| 22. | Nov 30, 2020 | |||||
| 23. | Dec 31, 2020 | |||||
| 24. | Jan 31, 2021 | |||||
| 25. | Feb 28, 2021 | |||||
| 26. | Mar 31, 2021 | |||||
| 27. | Apr 30, 2021 | |||||
| 28. | May 31, 2021 | |||||
| 29. | Jun 30, 2021 | |||||
| 30. | Jul 31, 2021 | |||||
| 31. | Aug 31, 2021 | |||||
| 32. | Sep 30, 2021 | |||||
| 33. | Oct 31, 2021 | |||||
| 34. | Nov 30, 2021 | |||||
| 35. | Dec 31, 2021 | |||||
| 36. | Jan 31, 2022 | |||||
| 37. | Feb 28, 2022 | |||||
| 38. | Mar 31, 2022 | |||||
| 39. | Apr 30, 2022 | |||||
| 40. | May 31, 2022 | |||||
| 41. | Jun 30, 2022 | |||||
| 42. | Jul 31, 2022 | |||||
| 43. | Aug 31, 2022 | |||||
| 44. | Sep 30, 2022 | |||||
| 45. | Oct 31, 2022 | |||||
| 46. | Nov 30, 2022 | |||||
| 47. | Dec 31, 2022 | |||||
| 48. | Jan 31, 2023 | |||||
| 49. | Feb 28, 2023 | |||||
| 50. | Mar 31, 2023 | |||||
| 51. | Apr 30, 2023 | |||||
| 52. | May 31, 2023 | |||||
| 53. | Jun 30, 2023 | |||||
| 54. | Jul 31, 2023 | |||||
| 55. | Aug 31, 2023 | |||||
| 56. | Sep 30, 2023 | |||||
| 57. | Oct 31, 2023 | |||||
| 58. | Nov 30, 2023 | |||||
| 59. | Dec 31, 2023 | |||||
| Average (R): | ||||||
| Standard deviation: | ||||||
Show all
1 Data in US$ per share of common stock, adjusted for splits and stock dividends.
2 Rate of return on common stock of IBM during period t
3 Rate of return on S&P 500 (the market portfolio proxy) during period t
Variance and Covariance
International Business Machines Corp., calculation of variance and covariance of returns
| t | Date | RIBM,t | RS&P 500,t | (RIBM,t–RIBM)2 | (RS&P 500,t–RS&P 500)2 | (RIBM,t–RIBM)×(RS&P 500,t–RS&P 500) |
|---|---|---|---|---|---|---|
| 1. | Feb 28, 2019 | |||||
| 2. | Mar 31, 2019 | |||||
| 3. | Apr 30, 2019 | |||||
| . | . | . | . | . | . | . |
| . | . | . | . | . | . | . |
| . | . | . | . | . | . | . |
| 58. | Nov 30, 2023 | |||||
| 59. | Dec 31, 2023 | |||||
| Total (Σ): | ||||||
| t | Date | RIBM,t | RS&P 500,t | (RIBM,t–RIBM)2 | (RS&P 500,t–RS&P 500)2 | (RIBM,t–RIBM)×(RS&P 500,t–RS&P 500) |
|---|---|---|---|---|---|---|
| 1. | Feb 28, 2019 | |||||
| 2. | Mar 31, 2019 | |||||
| 3. | Apr 30, 2019 | |||||
| 4. | May 31, 2019 | |||||
| 5. | Jun 30, 2019 | |||||
| 6. | Jul 31, 2019 | |||||
| 7. | Aug 31, 2019 | |||||
| 8. | Sep 30, 2019 | |||||
| 9. | Oct 31, 2019 | |||||
| 10. | Nov 30, 2019 | |||||
| 11. | Dec 31, 2019 | |||||
| 12. | Jan 31, 2020 | |||||
| 13. | Feb 29, 2020 | |||||
| 14. | Mar 31, 2020 | |||||
| 15. | Apr 30, 2020 | |||||
| 16. | May 31, 2020 | |||||
| 17. | Jun 30, 2020 | |||||
| 18. | Jul 31, 2020 | |||||
| 19. | Aug 31, 2020 | |||||
| 20. | Sep 30, 2020 | |||||
| 21. | Oct 31, 2020 | |||||
| 22. | Nov 30, 2020 | |||||
| 23. | Dec 31, 2020 | |||||
| 24. | Jan 31, 2021 | |||||
| 25. | Feb 28, 2021 | |||||
| 26. | Mar 31, 2021 | |||||
| 27. | Apr 30, 2021 | |||||
| 28. | May 31, 2021 | |||||
| 29. | Jun 30, 2021 | |||||
| 30. | Jul 31, 2021 | |||||
| 31. | Aug 31, 2021 | |||||
| 32. | Sep 30, 2021 | |||||
| 33. | Oct 31, 2021 | |||||
| 34. | Nov 30, 2021 | |||||
| 35. | Dec 31, 2021 | |||||
| 36. | Jan 31, 2022 | |||||
| 37. | Feb 28, 2022 | |||||
| 38. | Mar 31, 2022 | |||||
| 39. | Apr 30, 2022 | |||||
| 40. | May 31, 2022 | |||||
| 41. | Jun 30, 2022 | |||||
| 42. | Jul 31, 2022 | |||||
| 43. | Aug 31, 2022 | |||||
| 44. | Sep 30, 2022 | |||||
| 45. | Oct 31, 2022 | |||||
| 46. | Nov 30, 2022 | |||||
| 47. | Dec 31, 2022 | |||||
| 48. | Jan 31, 2023 | |||||
| 49. | Feb 28, 2023 | |||||
| 50. | Mar 31, 2023 | |||||
| 51. | Apr 30, 2023 | |||||
| 52. | May 31, 2023 | |||||
| 53. | Jun 30, 2023 | |||||
| 54. | Jul 31, 2023 | |||||
| 55. | Aug 31, 2023 | |||||
| 56. | Sep 30, 2023 | |||||
| 57. | Oct 31, 2023 | |||||
| 58. | Nov 30, 2023 | |||||
| 59. | Dec 31, 2023 | |||||
| Total (Σ): | ||||||
Show all
VarianceIBM = Σ(RIBM,t–RIBM)2 ÷ (59 – 1)
= ÷ (59 – 1)
=
VarianceS&P 500 = Σ(RS&P 500,t–RS&P 500)2 ÷ (59 – 1)
= ÷ (59 – 1)
=
CovarianceIBM, S&P 500 = Σ(RIBM,t–RIBM)×(RS&P 500,t–RS&P 500) ÷ (59 – 1)
= ÷ (59 – 1)
=
Systematic Risk (β) Estimation
| VarianceIBM | |
| VarianceS&P 500 | |
| CovarianceIBM, S&P 500 | |
| Correlation coefficientIBM, S&P 5001 | |
| βIBM2 | |
| αIBM3 |
Calculations
1 Correlation coefficientIBM, S&P 500
= CovarianceIBM, S&P 500 ÷ (Standard deviationIBM × Standard deviationS&P 500)
= ÷ ( × )
=
2 βIBM
= CovarianceIBM, S&P 500 ÷ VarianceS&P 500
= ÷
=
3 αIBM
= AverageIBM – βIBM × AverageS&P 500
= – ×
=
Expected Rate of Return
| Assumptions | ||
| Rate of return on LT Treasury Composite1 | RF | |
| Expected rate of return on market portfolio2 | E(RM) | |
| Systematic risk (β) of International Business Machines Corp. common stock | βIBM | |
| Expected rate of return on International Business Machines Corp. common stock3 | E(RIBM) | |
1 Unweighted average of bid yields on all outstanding fixed-coupon U.S. Treasury bonds neither due or callable in less than 10 years (risk-free rate of return proxy).
3 E(RIBM) = RF + βIBM [E(RM) – RF]
= + [ – ]
=