Portfolio Performance and DFM Flashcards

1
Q

What is standard deviation? What is the formula for the SD of a sample

A

How widely dispersed the possible outcomes are around the mean expected outcome.

Risk is measured as the variability of returns around the mean. If the expected level of return is calculated as the average return (the mean), then the risk is measured as the SD of returns over time.

SD = sqrt(x-mean(x))^2 / n

SD of a sample = sqrt(x-mean(x))^2 / (n-1)

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2
Q

steps for calculating SD where the probability of a return is involved?

A

1.Establish the average or mean return but weighted for the frequency of
occurrence – we do this by multiplying the total return by the probability to produce a
weighted average - sum weighted averages to find mean.

2.Find the difference of the return in each year from the arithmetic mean and then square it.

  1. Factor back in the probability of occurrence to produce the probability weighted dispersion of returns – that is the difference squared multiplied by the probability.
  2. The sum of the squares of the probability-weighted dispersions and the square root
    of this represents the standard deviation
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3
Q

What is the three sigma rule?

A

For normally distributed data, almost all the data points will fall within three standard deviations on either side of the mean.

More specifically, you’ll find:

68% of data within 1 standard deviation;
95% of data within 2 standard deviations ; and
99.7% of data within 3 standard deviations.

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4
Q

What are the characteristics of a normal distribution?

A

The mean and median are equal.

The mean and variance completely describe the distribution.

68.3% of observations lie between (mean ± 1 standard deviation).
95.5% of observations lie between (mean ± 2 standard deviations).
99.75% of observations lie between (mean ± 3 standard deviations).

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5
Q

Formula for Covariance and correlation?

A

Covariance = measures direct of relationship between two variables

covariance = sum(x-mean(x)) x sum(y-mean(y)) / (n-1)

Correlation = strength of direction

r = Cov(x,y) / (Sdx x sdy)

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6
Q

What is the information ratio and how is it calculated?

A

Compares the excess return achieved by the fund over a benchmark portfolio to the fund’s tracking error. Risk-adjusted measure to evaluate the fund manager’s relative experience.

IR = Rp - Rb / tracking error

Rp = portfolio return

Rb = benchmark return

The higher the positive IR the better the risk-adjusted return based on performance relative to the benchmark. Thus, the higher the value added by the manager through active management, based on the amount of risk taken relative to the benchmark.

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7
Q

What is the Sharpe Ratio and how is it calculated?

A

Measures the excess return for every unit of risk that is taken in order to achieve the return.

return on investment - risk-free return / SD of return on investment

The higher the Sharpe ratio, the better the return on an investment compensates an investor for
the risk taken. A negative Sharpe ratio indicates that a risk-free asset would have performed
better than the investment being analysed.

If manager A generates a return of 14%, while manager B generates a return of 11%, it would appear that manager A has a better performance. However, if manager A, who produced the 14% return, took greater risk than manager B, it may not actually be the case that manager A has a better risk-adjusted return.

The Sharpe ratio for manager A = 1.25
The Sharpe ratio for manager B = 1.40

Manager B was able to generate a higher return on a risk adjusted basis.

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8
Q

What is alpha and how is it calculated?

A

The difference between the return that would be expected from a security, given its beta, and the return that it has actually produced. It is the part of the return that cannot be explained by movements in the overall market. This is sometimes referred to as the ‘value added’ of the fund manager.

It is the return not measured by the CAPM.

a = actual portfolio return - (Rf + B x (Rm -Rf)

Rf = risk free rate of return

B = beta

Rm = market return

A positive alpha indicates that the security has performed better than would have been predicted given its beta.

A negative alpha indicates that it has performed worse than would have been predicted by its beta.

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9
Q

If you are asked to calculate the annual volatility of a client portfolio, what is being asked of you?

A

Likely to be given the variance figure.

Volatility is the square root of the variance = SD

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10
Q

Calculating benchmark and portfolio performance.

How would the performance of a portfolio fund manager (FM) be compared to a benchmark in terms of:

Asset allocation

Stock selection / sector choice

A

Asset allocation:

FM asset allocation x index performance for asset = contribution of manager’s asset class

This can be compared to the index asset allocation x index performance, to see if it over or under achieved.

Stock Selection/sector choice:

index asset allocation x index performance = potential return

index asset allocation x FM performance = FM selection return

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11
Q

What is holding period return?

A

The holding period return is the return earned over the time an investment is held, expressed as a percentage of the original cost. The holding period return equals the total of all income received during the period plus capital gain or profit, as a percentage of the original investment.

It doesn’t allow for tax or timing of receipts

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12
Q

What is the money weighted return and what are the drawbacks?

A

The MWR is a modified form of the holding period return formula and is used to calculate the return over the year, adjusting for cash flows.

The MWR method of measuring returns is not considered appropriate when trying to evaluate and compare different portfolios.
This is because it is strongly influenced by the timing of cash flows − this timing could be outside of the fund manager’s control and is often decided by the client.
It does not identify whether the overall return for the investor is due to the ability of the fund manager or as a result of when additional funds were invested.

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13
Q

What is time weighted return?

A

TWR can compare the performance of one fund manager to that of another by eliminating the distortions caused by the timing of new money. It does this by breaking down the return for a particular period into sub-periods between each addition or withdrawal of capital.

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14
Q

What are indexes used for?

A
  • monitoring market performance;
  • comparing the performance of a particular share with its sector or with the market as a whole;
  • comparing the performance of a fund manager with the performance of the market as a whole;
  • constructing index funds; and
  • measuring systematic risk (beta).
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15
Q

How are marked weighted indexes calculated and what is their disadvantage?

A

summation of the market values or capitalisations (calculated by multiplying the share price by the number of shares outstanding for each company).

A disadvantage of market-value-weighted indices is that companies whose share prices have risen will, all other things being equal, be a larger part of the index than ones whose share prices have fallen. Therefore, index funds or active funds benchmarked against an index tend to ‘overweight’ companies that have already been successful investments and ‘underweight’ companies that have been neglected by investors.

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16
Q

What are some limitations of indices?

A

indices do not include the costs of buying and selling, capital gains tax (CGT) or management expenses

The index assumes that the investor is fully committed to the market and holds no cash balances. In the long-term, cash holdings tend to lead to underperformance but, in the short-term, they can improve performance if the market declines.

17
Q

What is MPT?

A

Modern portfolio theory (MPT) reflects the way in which portfolios can be constructed to maximise returns and minimise risks. According to this theory, we cannot simply consider the potential risks and returns of an individual investment; it is important to consider how each investment changes in price relative to the other investments in the portfolio.

18
Q

Assumptions of MPT?

A

t investors are risk averse and would choose a less risky investment if they were offered the choice of two with the same return. The higher risk investment would only be chosen if it offered a higher return. The implication is that a rational investor would not invest in a portfolio if an alternative portfolio existed with a more favourable risk–return profile.

19
Q

Explain the differences between standard deviation and beta as a measure of risk?

A

Standard deviation is a measure of total risk; it measures volatility of an investment’s returns and reflects the volatility of the underlying markets, plus the risk the manager has taken against the market by making active investment decisions.

Beta measures a component of the total risk. It measures the systematic or market risk of the stock, as opposed to the specific or non-systematic risk.

20
Q

If the returns from a market are normally distributed and the average return is 10% a year, with a standard deviation of 10%, approximately what percentage of returns will be negative?

A

Approximately 68% of returns will fall between 0% and 20% (i.e. 10% ± 10%). Therefore, since a normal distribution is symmetric, 16% of returns will be above 20% and 16% will be below 0%, i.e. 16% of returns will be negative

21
Q

What does hedging mean?

A

Hedging means protecting an existing investment position by taking another position that will increase in value if the existing position falls in value. One way that this can be achieved is by using derivatives.

22
Q

What is the efficient frontier

A

describes the relationship between the return that can be expected from a portfolio and the risk of the portfolio as measured by the standard deviation.

The efficient frontier plots the risk–reward profiles of various portfolios and shows the best return that can be expected for a given level of risk, or the lowest level of risk needed to achieve a given expected return.

The inputs to the models are the:

  • return of each asset;
  • standard deviation of each asset’s returns; and
  • correlation between each pair of assets’ returns
23
Q

Describe how optimisation models, which use efficient frontiers, can be used to construct portfolios for investors:

A

For all assets that the client can invest in, it is necessary to forecast the return from each asset, the risk (SD) of each asset and the correlation between each pair of assets. In many cases, historic risk and correlation data are used as a forecast for the future.

All possible portfolios with different weightings in the assets are plotted on a graph with expected returns measured against risk. The portfolios will have a maximum return for any given level of risk and therefore will lie on or below the curve; the curve is the efficient frontier.

This is a set of portfolios that offer the maximum rate of return for any given level of risk. After identifying the appropriate risk level for a client, the efficient frontier can be used to find the portfolio that offers the best risk/return trade-off, assuming the input data are correct.

24
Q

Limitations to using an efficient frontier?

A
  • It assumes standard deviation is the correct measure of risk and assumes assets have normally distributed returns.
  • It is difficult to say which portfolio investors would prefer based solely on their attitude to risk, as investors may be concerned about other factors and may have constraints on how their portfolio is invested.
  • Inputs for risk and correlation between assets often rely on historical data.
  • The model does not include transaction costs and investors may not be willing to change their portfolios as often as the model might recommend.
  • It assumes that the underlying portfolios in each asset class are index funds with the same characteristics as the input data
25
Q

Describe briefly the objective of Stochastic modelling.

A
  • Estimate/forecast/predict the;
  • probabilistic/potential/likely;
  • range of;
  • returns/outcomes and;
  • volatility/standard deviation.
  • Under different outputs/scenarios/simulations.
26
Q

State the three main inputs required to generate an optimal portfolio via a Stochastic modelling tool.

A
  • Returns.
  • Volatility/standard deviation.
  • Time period.
27
Q

Identify four drawbacks of using a Stochastic modelling tool.

A
  • Assumptions/inputs not correct/unrealistic.
  • Ignores sequencing risk.
  • Over-reliance/over confidence.
  • Difficult to understand/too complex.
  • Output is unrealistic/unattainable/expected return not accurate.
  • Doesn’t factor in client circumstance.