You invest €10 000 at 5% per year with continuous compounding. Find the value FV after 11 years.
PV = €10 000r = 5%t = 11
FV = €
2.Time value of moneyHard
You want €30 000 in 9 years. You save the same amount at the end of every month in an account paying 3% per year, compounded monthly. Find the monthly deposit A.
FV = €30 0003% / 12N = 108
A = €
3.NPV & IRRMedium
An investment of €20 000 gives these cash flows at the end of years 1 to 4: €9 000, €5 000, €9 000, €8 000. The cost of capital is 15%. Find the net present value NPV.
A project costs €100 000 today. Its cash flow is €12 000 at the end of year 1 and grows by 5% per year until the last cash flow at the end of year 10. The cost of capital is 12%. Find the net present value NPV.
C0 = €100 000CF1 = €12 000g = 5%n = 10r = 12%
NPV = €
5.Bond pricing & yieldMedium
A bond with a face value of €1 000 pays an 8% annual coupon in two half-yearly payments and matures in 6 years. The yield to maturity is 3.5% per year. Find the price P of the bond.
F = €1 000coupon = 8%YTM = 3.5%n = 6
P = €
6.Bond pricing & yieldHard
A bond with a face value of €1 000 and an annual coupon of 4% matures in 3 years and sells for €1 045. Find its yield to maturity YTM in percent.
F = €1 000coupon = 4%n = 3P = €1 045
YTM = %
7.CAPM & WACCMedium
A company is financed with ordinary shares worth €10 000 000, preferred shares worth €1 500 000 and debt worth €5 000 000. The cost of equity is 9%, the cost of preferred stock 6% and the pre-tax cost of debt 3%. The tax rate is 21%. Find the WACC.
A company has 5 000 000 shares at €29.00 each and 10 000 bonds trading at €1 000 each. The pre-tax cost of debt is 4.5% and the tax rate is 20%. The share’s beta is 1.3, the risk-free rate 2% and the market return 7.5%. Find the WACC.
β = 1.3rf = 2%rm = 7.5%rd = 4.5%T = 20%
WACC = %
9.Descriptive statisticsMedium
Find the sample standard deviation s of the data: 29, 27, 27, 23, 27, 43.
n = 6
s =
10.Descriptive statisticsHard
Exam scores are normally distributed with mean 500 and standard deviation 25. Find the z-score z of a score of 470.
μ = 500σ = 25x = 470
z =
11.ProbabilityMedium
A fair die is rolled 8 times. What is the probability P of getting at least one six?
n = 8
P =
12.ProbabilityHard
A test has 12 multiple-choice questions. A student who guesses gets each one right with probability 0.25, independently. What is the probability P of exactly 4 correct answers?
n = 12p = 0.25k = 4
P =
13.Normal distributionMedium
The battery lifetimes are normally distributed with mean 500 h and standard deviation 40 h. What fraction lies between 438 and 508 h? Give P as a decimal.
μ = 500σ = 40x1 = 438x2 = 508
P =
14.Normal distributionHard
The battery lifetimes are normally distributed with mean 500 h and standard deviation 40 h. Find the value x below which 99% of them lie (the 99th percentile).
μ = 500σ = 40P = 99%
x = h
15.Confidence intervalsMedium
A sample of 6 items has mean 33.5 and standard deviation s = 19.5. The population is roughly normal. Find the upper limit of the 90% confidence interval for the mean.
n = 6x̄ = 33.5s = 19.590%t(5) = 2.015
upper limit =
16.Confidence intervalsHard
The diameters of 16 machined shafts have a sample standard deviation of 4.1 µm. Assuming the diameters are normally distributed, find the upper limit σ of the 95% confidence interval for the population standard deviation. With df = 15, 2.5% of the χ² distribution lies below 6.262 and 2.5% lies above 27.488.
n = 16s = 4.1 µmχ² = 6.262, 27.488
σ = µm
17.Hypothesis tests & confidence intervalsMedium
A sample of 81 students has a mean score of 56.44 and a sample standard deviation of 20. Find the test statistic t for H₀: μ = 50.
μ₀ = 50x̄ = 56.44s = 20n = 81
t =
18.Hypothesis tests & confidence intervalsHard
A sample of 36 measurements has mean 501.5. The population standard deviation is 4. Find the upper limit U of the 95% confidence interval for the mean.
x̄ = 501.5σ = 4n = 3695%
U =
19.Linear regression & correlationMedium
The table gives 6 paired observations of x = hours studied and y = exam score. Find Pearson's correlation coefficient r.
n = 6
r =
20.Linear regression & correlationHard
The table gives 6 paired observations of x = advertising spend in k€ and y = sales in k€. Use the least-squares line ŷ = a + b·x. For which value x does the line predict ŷ = 57?
n = 6ŷ = 57
x =
3Solutions
1.Time value of money
Answer: FV = 17333 €
Time value of money: money today is worth more than the same amount later, because it can earn interest. With interest rate i per period, an amount grows as FV = PV·(1 + i)n. A series of equal payments (an annuity) is valued by adding up each payment, which gives the annuity formulas.
Exponent
r·t = 0.05·11 = 0.55
e0.55 = 1.733
Future value
FV = 10 000·1.733 = €17 332.53
Answer
FV = €17 332.53
2.Time value of money
Answer: A = 242.3 €
Time value of money: money today is worth more than the same amount later, because it can earn interest. With interest rate i per period, an amount grows as FV = PV·(1 + i)n. A series of equal payments (an annuity) is valued by adding up each payment, which gives the annuity formulas.
Net present value: discount every cash flow back to today with the required rate of return r, then add them up: NPV = Σ CFₜ/(1 + r)ᵗ. A project with NPV > 0 earns more than r and adds value. The internal rate of return (IRR) is the rate at which NPV = 0.
Present value of each cash flow
CF0 = −20 000
CF1/(1 + 0.15)1 = 9 000/1.15 = 7 826.09
CF2/(1 + 0.15)2 = 5 000/1.322 = 3 780.72
CF3/(1 + 0.15)3 = 9 000/1.521 = 5 917.65
CF4/(1 + 0.15)4 = 8 000/1.749 = 4 574.03
Add them up
NPV = €2 098.48
Answer
NPV = €2 098.48
NPV is positive, so the project earns more than the required return.
4.NPV & IRR
Answer: NPV = −18479 €
Net present value: discount every cash flow back to today with the required rate of return r, then add them up: NPV = Σ CFₜ/(1 + r)ᵗ. A project with NPV > 0 earns more than r and adds value. The internal rate of return (IRR) is the rate at which NPV = 0.
NPV is negative, so the project earns less than the required return.
5.Bond pricing & yield
Answer: P = 1242 €
Bond pricing: a bond’s price is the present value of its cash flows, discounted at the yield to maturity (YTM): the coupons form an annuity and the face value is paid back at maturity. P = C·(1 − (1 + y)⁻ⁿ)/y + F/(1 + y)ⁿ. When the yield is above the coupon rate the bond trades below face value, and the other way round.
Per period
C = €40.00, i = 0.0175, N = 12
Present value of the coupons
€40.00·(1 − 0.8121)/0.0175 = €429.58
Present value of the face value
€1 000·0.8121 = €812.06
Price
P = €1 241.64
Answer
P = €1 241.64
The yield is below the coupon rate, so the bond sells at a premium.
6.Bond pricing & yield
Answer: YTM = 2.427 %
Bond pricing: a bond’s price is the present value of its cash flows, discounted at the yield to maturity (YTM): the coupons form an annuity and the face value is paid back at maturity. P = C·(1 − (1 + y)⁻ⁿ)/y + F/(1 + y)ⁿ. When the yield is above the coupon rate the bond trades below face value, and the other way round.
Equation for the yield
€1 045 = €40·(1 − (1 + y)⁻³)/y + €1 000/(1 + y)³
Solve numerically
P(2%) = €1 057.68, P(3%) = €1 028.29
YTM = 2.427%
Answer
YTM = 2.427%
7.CAPM & WACC
Answer: WACC = 6.718 %
Cost of capital: CAPM gives the return shareholders require: re = rf + β·(rm − rf). The weighted average cost of capital mixes equity and debt by their market values: WACC = E/V·re + D/V·rd·(1 − T), with V = E + D. Interest is tax-deductible, hence the (1 − T).
Cost of capital: CAPM gives the return shareholders require: re = rf + β·(rm − rf). The weighted average cost of capital mixes equity and debt by their market values: WACC = E/V·re + D/V·rd·(1 − T), with V = E + D. Interest is tax-deductible, hence the (1 − T).
Descriptive statistics: the mean is the sum divided by n; the median is the middle value of the sorted data (the average of the two middle values when n is even). The sample standard deviation is s = √(Σ(x − x̄)²/(n − 1)). A z-score z = (x − μ)/σ says how many standard deviations a value lies from the mean.
Descriptive statistics: the mean is the sum divided by n; the median is the middle value of the sorted data (the average of the two middle values when n is even). The sample standard deviation is s = √(Σ(x − x̄)²/(n − 1)). A z-score z = (x − μ)/σ says how many standard deviations a value lies from the mean.
Standardise
z = (470 − 500)/25 = −1.2
Answer
z = −1.2
11.Probability
Answer: P = 0.7674
Probability: with equally likely outcomes, P(A) = favourable/total. For independent events multiply: P(A and B) = P(A)·P(B). The complement often helps: P(at least one) = 1 − P(none). Binomial: in n independent trials with success probability p, P(X = k) = C(n, k)·pᵏ·(1 − p)ⁿ⁻ᵏ.
Complement
P(no six) = (5/6)8 = 0.2326
P = 1 − 0.2326 = 0.7674
Answer
P = 0.7674
12.Probability
Answer: P = 0.1936
Probability: with equally likely outcomes, P(A) = favourable/total. For independent events multiply: P(A and B) = P(A)·P(B). The complement often helps: P(at least one) = 1 − P(none). Binomial: in n independent trials with success probability p, P(X = k) = C(n, k)·pᵏ·(1 − p)ⁿ⁻ᵏ.
Normal distribution: convert a value x to a z-score, z = (x − μ)/σ, which counts standard deviations from the mean. A z-table (or Φ(z)) gives the area to the left of z, which is P(X < x). The area to the right is 1 − Φ(z), and the area between two values is the difference of their two areas.
z-scores
z₁ = (438 − 500)/40 = −1.55
z₂ = (508 − 500)/40 = 0.2
Area between
P = Φ(0.2) − Φ(−1.55) = 0.5793 − 0.06057 = 0.5187
Answer
P = 0.5187
14.Normal distribution
Answer: x = 593.1 h
Normal distribution: convert a value x to a z-score, z = (x − μ)/σ, which counts standard deviations from the mean. A z-table (or Φ(z)) gives the area to the left of z, which is P(X < x). The area to the right is 1 − Φ(z), and the area between two values is the difference of their two areas.
z for the percentile
Φ(z) = 0.99 → z = 2.326
Back to x
x = 500 + 2.326·40 = 593.05 h
Answer
x = 593.05 h
15.Confidence intervals
Answer: upper limit = 49.54
Confidence interval for a mean: x̄ ± margin of error. With a known population σ the margin is z·σ/√n; with only the sample standard deviation s, use t with n − 1 degrees of freedom: t·s/√n. Critical values: z = 1.645 (90%), 1.96 (95%), 2.576 (99%). To get a margin E or smaller, you need n ≥ (z·σ/E)², rounded up.
Critical value
df = n − 1 = 5, t = 2.015
Margin of error
E = 2.015·19.5/√6 = 16.04
Interval
33.5 ± 16.04 → [17.46, 49.54]
Answer
upper limit = 49.54
16.Confidence intervals
Answer: σ = 6.346 µm
Interval for a variance: (n − 1)s²/σ² has a χ² distribution with n − 1 degrees of freedom. The 95% interval for σ² runs from (n − 1)s² divided by the upper χ² value (2.5% above it) to (n − 1)s² divided by the lower χ² value (2.5% below it); the interval for σ is the square root of both limits. It is not symmetric around s.
Sum of squares
(n − 1)s² = 15·4.1² = 252.1
Limits for σ²
252.1/27.488 = 9.173
252.1/6.262 = 40.27
Limit for σ
σ = √40.27 = 6.346 µm
Answer
σ = 6.346 µm
95% interval for σ: [3.029, 6.346] µm.
17.Hypothesis tests & confidence intervals
Answer: t = 2.898
Testing a mean: the test statistic measures how many standard errors the sample mean lies from the value claimed in H₀: z = (x̄ − μ₀)/(σ/√n) when σ is known, t = (x̄ − μ₀)/(s/√n) when it is estimated from the sample. A confidence interval is x̄ ± (critical value)·(standard error).
Standard error
SE = 20/√81 = 20/9 = 2.222
Test statistic
t = (56.44 − 50)/2.222 = 2.898
Answer
t = 2.898
t0.025; df = 80 = 1.99
|t| > 1.99, so H₀ is rejected at the 5% level (two-sided).
18.Hypothesis tests & confidence intervals
Answer: U = 502.8
Testing a mean: the test statistic measures how many standard errors the sample mean lies from the value claimed in H₀: z = (x̄ − μ₀)/(σ/√n) when σ is known, t = (x̄ − μ₀)/(s/√n) when it is estimated from the sample. A confidence interval is x̄ ± (critical value)·(standard error).
Margin of error
E = 1.96·4/√36 = 1.307
Interval limit
U = 501.5 + 1.307 = 502.8
Answer
U = 502.8
19.Linear regression & correlation
Answer: r = 0.9855
Least-squares regression: with x̄ and ȳ the means, Sxx = Σ(x − x̄)², Syy = Σ(y − ȳ)² and Sxy = Σ(x − x̄)(y − ȳ), the line ŷ = a + b·x has slope b = Sxy/Sxx and intercept a = ȳ − b·x̄, so it always passes through (x̄, ȳ). Pearson's correlation coefficient r = Sxy/√(Sxx·Syy) lies between −1 and 1; r² is the fraction of the variation in y explained by the line.
Means
x̄ = 36/6 = 6
ȳ = 428/6 = 71.33
Sums of squares and products
Sxx = Σ(x − x̄)² = 70
Sxy = Σ(x − x̄)(y − ȳ) = 348
Syy = Σ(y − ȳ)² = 1781
Correlation coefficient
r = 348/√(70·1781) = 0.9855
Answer
r = 0.9855
20.Linear regression & correlation
Answer: x = 10.01
Least-squares regression: with x̄ and ȳ the means, Sxx = Σ(x − x̄)², Syy = Σ(y − ȳ)² and Sxy = Σ(x − x̄)(y − ȳ), the line ŷ = a + b·x has slope b = Sxy/Sxx and intercept a = ȳ − b·x̄, so it always passes through (x̄, ȳ). Pearson's correlation coefficient r = Sxy/√(Sxx·Syy) lies between −1 and 1; r² is the fraction of the variation in y explained by the line.
Means
x̄ = 48/6 = 8
ȳ = 322/6 = 53.67
Sums of squares and products
Sxx = Σ(x − x̄)² = 70
Sxy = Σ(x − x̄)(y − ȳ) = 116
Regression line
b = 116/70 = 1.657
a = 53.67 − 1.657·8 = 40.41
ŷ = 40.41 + 1.657·x
Solve for x
x = (57 − 40.41)/1.657 = 10.01
Answer
x = 10.01
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