Stock Analysis on Net

Expand Energy Corp. (NASDAQ:EXE)

$24.99

Capital Asset Pricing Model (CAPM)

Microsoft Excel

Capital asset pricing model (CAPM) indicates what should be the expected or required rate of return on risky assets like Expand Energy Corp. common stock.

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Rates of Return

Expand Energy Corp., monthly rates of return

Microsoft Excel
Expand Energy Corp. (EXE) Standard & Poor’s 500 (S&P 500)
t Date PriceEXE,t1 DividendEXE,t1 REXE,t2 PriceS&P 500,t RS&P 500,t3
Feb 28, 2021
1. Mar 31, 2021
2. Apr 30, 2021
3. May 31, 2021
. . . . . . .
. . . . . . .
. . . . . . .
45. Nov 30, 2024
46. Dec 31, 2024
Average (R):
Standard deviation:
Expand Energy Corp. (EXE) Standard & Poor’s 500 (S&P 500)
t Date PriceEXE,t1 DividendEXE,t1 REXE,t2 PriceS&P 500,t RS&P 500,t3
Feb 28, 2021
1. Mar 31, 2021
2. Apr 30, 2021
3. May 31, 2021
4. Jun 30, 2021
5. Jul 31, 2021
6. Aug 31, 2021
7. Sep 30, 2021
8. Oct 31, 2021
9. Nov 30, 2021
10. Dec 31, 2021
11. Jan 31, 2022
12. Feb 28, 2022
13. Mar 31, 2022
14. Apr 30, 2022
15. May 31, 2022
16. Jun 30, 2022
17. Jul 31, 2022
18. Aug 31, 2022
19. Sep 30, 2022
20. Oct 31, 2022
21. Nov 30, 2022
22. Dec 31, 2022
23. Jan 31, 2023
24. Feb 28, 2023
25. Mar 31, 2023
26. Apr 30, 2023
27. May 31, 2023
28. Jun 30, 2023
29. Jul 31, 2023
30. Aug 31, 2023
31. Sep 30, 2023
32. Oct 31, 2023
33. Nov 30, 2023
34. Dec 31, 2023
35. Jan 31, 2024
36. Feb 29, 2024
37. Mar 31, 2024
38. Apr 30, 2024
39. May 31, 2024
40. Jun 30, 2024
41. Jul 31, 2024
42. Aug 31, 2024
43. Sep 30, 2024
44. Oct 31, 2024
45. Nov 30, 2024
46. Dec 31, 2024
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 EXE during period t

3 Rate of return on S&P 500 (the market portfolio proxy) during period t


Variance and Covariance

Expand Energy Corp., calculation of variance and covariance of returns

Microsoft Excel
t Date REXE,t RS&P 500,t (REXE,tREXE)2 (RS&P 500,tRS&P 500)2 (REXE,tREXE)×(RS&P 500,tRS&P 500)
1. Mar 31, 2021
2. Apr 30, 2021
3. May 31, 2021
. . . . . . .
. . . . . . .
. . . . . . .
45. Nov 30, 2024
46. Dec 31, 2024
Total (Σ):
t Date REXE,t RS&P 500,t (REXE,tREXE)2 (RS&P 500,tRS&P 500)2 (REXE,tREXE)×(RS&P 500,tRS&P 500)
1. Mar 31, 2021
2. Apr 30, 2021
3. May 31, 2021
4. Jun 30, 2021
5. Jul 31, 2021
6. Aug 31, 2021
7. Sep 30, 2021
8. Oct 31, 2021
9. Nov 30, 2021
10. Dec 31, 2021
11. Jan 31, 2022
12. Feb 28, 2022
13. Mar 31, 2022
14. Apr 30, 2022
15. May 31, 2022
16. Jun 30, 2022
17. Jul 31, 2022
18. Aug 31, 2022
19. Sep 30, 2022
20. Oct 31, 2022
21. Nov 30, 2022
22. Dec 31, 2022
23. Jan 31, 2023
24. Feb 28, 2023
25. Mar 31, 2023
26. Apr 30, 2023
27. May 31, 2023
28. Jun 30, 2023
29. Jul 31, 2023
30. Aug 31, 2023
31. Sep 30, 2023
32. Oct 31, 2023
33. Nov 30, 2023
34. Dec 31, 2023
35. Jan 31, 2024
36. Feb 29, 2024
37. Mar 31, 2024
38. Apr 30, 2024
39. May 31, 2024
40. Jun 30, 2024
41. Jul 31, 2024
42. Aug 31, 2024
43. Sep 30, 2024
44. Oct 31, 2024
45. Nov 30, 2024
46. Dec 31, 2024
Total (Σ):

Show all

VarianceEXE = Σ(REXE,tREXE)2 ÷ (46 – 1)
= ÷ (46 – 1)
=

VarianceS&P 500 = Σ(RS&P 500,tRS&P 500)2 ÷ (46 – 1)
= ÷ (46 – 1)
=

CovarianceEXE, S&P 500 = Σ(REXE,tREXE)×(RS&P 500,tRS&P 500) ÷ (46 – 1)
= ÷ (46 – 1)
=


Systematic Risk (β) Estimation

Microsoft Excel
VarianceEXE
VarianceS&P 500
CovarianceEXE, S&P 500
Correlation coefficientEXE, S&P 5001
βEXE2
αEXE3

Calculations

1 Correlation coefficientEXE, S&P 500
= CovarianceEXE, S&P 500 ÷ (Standard deviationEXE × Standard deviationS&P 500)
= ÷ ( × )
=

2 βEXE
= CovarianceEXE, S&P 500 ÷ VarianceS&P 500
= ÷
=

3 αEXE
= AverageEXE – βEXE × AverageS&P 500
= ×
=


Expected Rate of Return

Microsoft Excel
Assumptions
Rate of return on LT Treasury Composite1 RF
Expected rate of return on market portfolio2 E(RM)
Systematic risk (β) of Expand Energy Corp. common stock βEXE
 
Expected rate of return on Expand Energy Corp. common stock3 E(REXE)

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).

2 See details »

3 E(REXE) = RF + βEXE [E(RM) – RF]
= + []
=