CFA Level I quantitative methods and fixed income practice: cram pack

Formula sheets, the key method steps for every topic and 20 practice problems, with full solutions at the back.

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1Formulas and methods

Time value of money

Future value
FV = PV·(1 + i)n
Present value
PV = FV/(1 + i)n
Several periods per year
i = r/m, N = m·n
Annuity, present value
PV = PMT·[1 − (1 + i)−n]/i
Annuity, future value
FV = PMT·[(1 + i)n − 1]/i

Method

  1. Draw a timeline with every cash flow and its timing.
  2. Match the rate to the period: a monthly rate for monthly payments.
  3. Use FV = PV·(1 + i)ⁿ for single amounts and the annuity formulas for equal payments.
  4. Check the sign and the order of magnitude of the answer.

NPV & IRR

Net present value
NPV = −C0 + Σ CFt/(1 + r)t
Equal cash flows
NPV = −C0 + CF·[1 − (1 + r)−n]/r
Internal rate of return
the r at which NPV = 0
Decision
accept when NPV > 0 (or IRR > required return)

Method

  1. List all cash flows with their year; the investment at year 0 is negative.
  2. Discount each cash flow: CFt/(1 + r)t.
  3. Add them up to get the NPV. Positive means the project earns more than r.
  4. For the IRR, find the rate that makes NPV zero by trial or interpolation.

Bond pricing & yield

Bond price
P = C·(1 − (1 + y)−n)/y + F/(1 + y)n
Semi-annual
C/2, y/2 and 2n periods
Current yield
C/P
Price and yield
yield up → price down

Method

  1. Find the coupon per period and the yield per period.
  2. Price = present value of the coupons (an annuity) + present value of the face value.
  3. For semi-annual coupons use half the coupon, half the yield and twice the periods.
  4. Check: if the yield is above the coupon rate, the price is below face value.

CAPM & WACC

CAPM
re = rf + β·(rm − rf)
WACC
E/V·re + D/V·rd·(1 − T)
Firm value
V = E + D

Descriptive statistics

Mean
x̄ = Σx/n
Sample standard deviation
s = √(Σ(x − x̄)²/(n − 1))
Median
middle value of the sorted data
z-score
z = (x − μ)/σ
Normal distribution
68% within ±1σ, 95% within ±2σ

Probability

Complement
P(not A) = 1 − P(A)
Addition rule
P(A ∪ B) = P(A) + P(B) − P(A ∩ B)
Independent events
P(A ∩ B) = P(A)·P(B)
Conditional probability
P(A|B) = P(A ∩ B)/P(B)
Binomial
P(X = k) = C(n,k)·pk(1 − p)n−k

Normal distribution

z-score
z = (x − μ)/σ
Below x
P(X < x) = Φ(z)
Above x
P(X > x) = 1 − Φ(z)
Between
Φ(z2) − Φ(z1)
Percentile
x = μ + z·σ

Method

  1. Convert the value to a z-score: z = (x − μ)/σ.
  2. Look up Φ(z), the area to the left of z.
  3. For the area to the right use 1 − Φ(z); for an interval subtract the two left areas.
  4. For a percentile, work backwards: find z for the area, then x = μ + z·σ.

Confidence intervals

σ known
x̄ ± z·σ/√n
σ unknown
x̄ ± t·s/√n, df = n − 1
Critical z
90%: 1.645, 95%: 1.96, 99%: 2.576
Sample size
n = (z·σ/E)², rounded up

Method

  1. Decide between z (population σ known) and t (only the sample s, with n − 1 degrees of freedom).
  2. Find the critical value for the confidence level.
  3. Margin of error: E = critical value × standard deviation/√n.
  4. Interval: x̄ ± E.

Hypothesis tests & confidence intervals

z-test for a mean
z = (x̄ − μ0)/(σ/√n)
t-test for a mean
t = (x̄ − μ0)/(s/√n), df = n − 1
Two-sided at 5%
reject H0 if |z| > 1.96
Confidence interval
x̄ ± z·σ/√n

Method

  1. State H₀ and H₁ and decide whether the test is one- or two-sided.
  2. Calculate the test statistic: (x̄ − μ₀)/(σ/√n), or with s and t.
  3. Compare with the critical value, or find the p-value.
  4. Reject H₀ if the statistic is beyond the critical value (p below α), and state the conclusion in words.

Linear regression & correlation

Sums of squares
Sxx = Σ(x − x̄)² = Σx² − (Σx)²/n, Sxy = Σxy − ΣxΣy/n
Slope
b = Sxy/Sxx
Intercept
a = ȳ − b·x̄
Correlation
r = Sxy/√(SxxSyy)
Residual
e = y − ŷ

2Practice problems

1.Time value of moneyMedium
years0123…11€10 000FV = ?

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
months0123…108A?AA€30 000

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
years01234−20 0009 0005 0009 0008 000

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.

r = 15%CF0 = −20 000CF1 = 9 000CF2 = 5 000CF3 = 9 000CF4 = 8 000
NPV = €
4.NPV & IRRHard
years0123…10−100 00012 000+5%+5%+5%r = 12%, 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
half-years0123…12€40€40€40 + €1 000P = ?

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
years0123€1 045€40€40 + €1 000

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
WACC = ?ordinary shares€10 000 000re​ = 9%preferred shares€1 500 000rp​ = 6%debt€5 000 000rd​ = 3%T = 21%

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.

E = €10 000 000Ps = €1 500 000D = €5 000 000re = 9%rp = 6%rd = 3%T = 21%
WACC = %
8.CAPM & WACCHard
WACC = ?equity5 000 000 × €29.00β = 1.3rf​ = 2%, rm​ = 7.5%debt10 000 × €1 000rd​ = 4.5%T = 20%

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
24262830323436384042

Find the sample standard deviation s of the data: 29, 27, 27, 23, 27, 43.

n = 6
s =
10.Descriptive statisticsHard
z −2−1012

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
P(at least one six) = ??1?2?3?4?5?6?7?8P(six) = 1/6 on each roll

A fair die is rolled 8 times. What is the probability P of getting at least one six?

n = 8
P =
12.ProbabilityHard
n = 12, p = 0.25: P(X = 4) = ?k0123456789101112

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
438508P = ?

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
μ = 500x = ?99%

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
n = 6, s = 19.5LU = ?x̄ = 33.5E90%

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
n = 16Lσ = ?s = 4.195%

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
t −1.9901.99

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
z −1.9601.96

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
xy1483595617749891197xy5106080100

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
xy34654974995811581362xy51045505560ŷ = 57

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.

Monthly rate and number of deposits

i = 0.03/12 = 0.0025
N = 12·9 = 108

Deposit

A = FV·i/((1 + i)N − 1) = 30 000·0.0025/(1.31 − 1) = €242.31

Answer

A = €242.31
3.NPV & IRR

Answer: NPV = 2098 €

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.

Present value of the growing annuity

((1.05)/(1.12))10 = 0.5245
PV = 12 000/(0.12 − 0.05)·(1 − 0.5245) = 81 521.06

NPV

NPV = 81 521.06 − 100 000 = −€18 478.94

Answer

NPV = −€18 478.94

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).

Weights

V = 10 000 000 + 1 500 000 + 5 000 000 = €16 500 000
E/V = 0.6061, Ps/V = 0.09091, D/V = 0.303

WACC

WACC = 0.6061·9% + 0.09091·6% + 0.303·3%·(1 − 0.21) = 6.718%

Answer

WACC = 6.718%
8.CAPM & WACC

Answer: WACC = 8.792 %

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).

Market values

E = 5 000 000·€29.00 = €145 000 000
D = 10 000·€1 000 = €10 000 000

Cost of equity (CAPM)

re = 2% + 1.3·5.5% = 9.15%

Weights

V = €155 000 000, E/V = 0.9355, D/V = 0.06452

WACC

WACC = 0.9355·9.15% + 0.06452·4.5%·(1 − 0.2) = 8.792%

Answer

WACC = 8.792%
9.Descriptive statistics

Answer: s = 6.976

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.

Mean

x̄ = 176/6 = 29.33

Squared deviations

Σ(x − x̄)² = (−0.3333)² + (−2.333)² + (−2.333)² + (−6.333)² + (−2.333)² + 13.67² = 243.3

Standard deviation

s = √(243.3/5) = 6.976

Answer

s = 6.976
10.Descriptive statistics

Answer: z = −1.2

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.

Binomial formula

P(X = 4) = 495·0.254·0.758 = 495·0.003906·0.1001 = 0.1936

Answer

P = 0.1936
13.Normal distribution

Answer: P = 0.5187

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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