9. PORTFOLIO PERF Flashcards

1
Q

Holding period return

A

Doesnt take CF timing into account
non risk adjusted

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2
Q

Money weighted return

A

Non risk adjusted
Adjusts for inflows and outflows
Skewed by timing and size of CFs

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3
Q

Time weighted return

A

non risk adjusted
takes timing of CFs into account
most fair appraisal of perf

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4
Q

IRR

A

take 2 discount rates - 1 low and 1 high
n1 = npv with r1
n2 = npv with r2

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5
Q

MWRR vs TWRR

A

MWRR
- strongly influenced by timing and size of CFs which may be accidental or contigent to performance
- good if FM is in control of these
- basically IRR of opening and closing values of portfolio taking into account inflows an outflows via interpolation
avg growth rate of invested money

TWRR
- generally preferable as not influenced by timing and size of CFs
- geometric growth rate - calc returns between CFs then combine line compound interest

Should produce similar results in normal conditions
- dissimilarities occur when CFs are large relative to portfolio
- MWRR will be higher if more £ invested @ earlier periods

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6
Q

Benchmark properties

A

S specified in adv and not changing to suit perf
A appropriate to preferences of fund (region/size/style etc
M measurable and calculateable frequently
U unambiguous w/ clearly defined weights
R regularly reported
A appropriate to currency
I investable and owned

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7
Q

Types of investment objective

A

Target income replacement
- e.g. salary/retiree
- or target for annuity purchase

Liability/lump sum driven
- allocates resources to meet specific liability in future

Best efforts
- maximizing returns for given risk without setting target returns
- reduces risk of not meeting targer but client may fall short of goals later in life

Benchmark driven
- bench +/- relative to inflation/GDP/global benchmark etc

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8
Q

Implications of ESG restrictions on benchmark selection

A

regular benchmarks dont capture non financial performance of ESG constrained funds
- global impact funds often have ACWI benchmarks
- FTSE4GOOD contains shell - investors with oil and gas restrictions will likely see big divergences due to this

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9
Q

Myner’s review

A

2001 Myners review - looked at weakness of peer benchmark approach for pension fund managers
- recommended a customised benchmarking approach where fund considers
- suitability of index benchmarks in achieving fund objectives
- whether active or passive management appropriate for each asset class

where active = appropriate
-set divergence limit for managers to operate within
encourage active management to be undertaken with conviction

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10
Q

Peer group benchmarks

A

Can encourage herding mentality and managers wanting to avoid being the worst of a bunch (even if entire group is bad)

widely accepted practise still but problematic because
- too broad a group often
- not specified in advane or investable
- survivorship bias

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11
Q

types of benchmark

A

Peer group
broad market
factor/style based
custom benchmark

OR

relative/absolute return
best effortsq

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12
Q

TOTAL CONTRIBUTION

A

= sum ( Wp x Rp - Wb x Rb)

Wp = weight in portfolio
Rp = return portfolio

Wb = weight benchmark
Rb = return in benchmark

sum of all sectors/assets

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13
Q

CONTRIBUTION FROM AA

A

= SUM (Wp - Wb) Rb

= SUM(WpRb) - SUM(WbRb)

Wp -Wb = benchmark overweight/underweight

Wp = weight in portfolio
Wb = weight benchmark
Rb = return in benchmark

SUM all secotrs/assets

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14
Q

CONTRIBUTION FROM STOCK SELECTION

A

= SUM (Rp - Rb)Wp

(Rp- Rb) = excess return over benchmark

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15
Q

Jensen’s alpha

A

Jensen’s alpha = actual return - CAPM predicted return

CAPM = Rfr + B (Rm - rfr)

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16
Q

RELATIVE DURATION

A

basically CAPM with duration instead of B

Rp = Rf + [ Dp / Dm(Rm - Rf) ]

17
Q

SHARPE RATIO

A

XS returns over RFR per unit of risk
compares total risk in terms of stnd dev with returns
stnd dev = non diversified portfolios
- assumes normal distro which may not always be the case (leptokurtosys)

Traynor uses B - useful for diversified portfolios where specific risk has been diversified away

Problems
- stnd dev includes both neg and positive variances from the mean
- Sortino solves this as uses only semivariances (negative/bas deviations from mean)

18
Q

SORTINO RATIO

A

XS return per unit of risk but downside risk only
removes good/positive variances from stnd deviations

stnd dev of svp = stnd dev of semi variances = deviations below mean
still SD so still for non diversified portfolios

when calc SD of svp = still divide by big N (e.g. if 40 -ve variances and 60 +, still sum and square the 40 then divide by 60)

19
Q

ALTERNATIVE SORTINO RATIO

A

using XS returns over target reate
still SD of svp

when client is v sensitive to loss - return of target = 0

20
Q

TREYNOR MEASURE

A

numerator = XS returns over rfr
denominator = beta = diversified portfolio

XS return per unit of systematic risk
Cost/benefit of risk/return trade off - assumes unsystematic risk is diversified away

21
Q

INFORMATION RATIO

A

more generalized form of sharpe where benchmark isnt rfr
often used to gauge manager skill

Gauge of investment value added
measures xs return of fund vs benchmark divided by degrees of freedom (TE) fund takes relative to BM

22
Q

M2 RATIO

A

Client friendly version of Sharpe - saying ‘if we took the same risk as he benchmark’
if you ranked funds according to Sharpe and M2 the lists would be the same

23
Q

R^2

A

= correlation coefficient^2
= explained variance

correlation coeff = 0.8
R^2 = 0.8 x 0.8 = 0.64
SO 64% of co movement between 2 variables is explained by linear equation

SO unexplained variance = 1-R^2 = 36%

24
Q

VaR

A

M£ = £ invested in portfolio
oP = portfolio risk in SD terms
Za = Z score = standardised variable/Tstat

Conditional VAR = expected loss once market moves beyond normal limits
VAR describes just 1 point in tail of distribution
CVAR more comprehensive measure of that part of the tail risk - considers probability weighted loss in the alpha part of the normal distribution tail
AKA tail VAR

if u assume normally distributed returns CVaR can be estimated using means and SD

25
Q

Active share

A

Sum differences in weightings of each sec (benchmark vs portfolio)

divide by 2

26
Q

VaR

A

Value at risk (VaR) quantifies potential financial risk for an investment or a portfolio, by offering a quantitative estimate of the maximum probable downside over a specified time horizon.

VAR = Expected return - (portfolio vol x t-stat for the confidence level)

27
Q

How to work out VAR confidence levels

A

t stat = no. of SDs from mean
% values = % of values within that no. of SDs

only concerned with neg tail SO 95% of values = (100-95)/2 + 95 = 97.5% confidence level
(2.5% negative tail)

28
Q

Annualised risk/SD

A

Tells us high tightly investment returns are clustered around mean
Most used metric for measure of variability

29
Q

Drawdown

A

Calc drop from highest peal val to lowest trough val in period - reports as % change

DD = Price (min) / Price (max) -1

Avoiding large DD is important for
- risk averse investors
-those drawing an income from a fund -
- cystallising lump sums