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Risk and Return

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The slope of the characteristic line is called beta. ... Beta is a measure of risk. Companies with large betas are more sensitive to the market. ... – PowerPoint PPT presentation

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Title: Risk and Return


1
Lecture 7
  • Risk and Return

2
Lecture Objectives
  • Calculate returns and standard deviation of
    returns
  • Expected values and standard deviation of
    expected values
  • The concept of risk and diversification
  • Quantifying risk
  • Beta and the Capital Asset Pricing Model

3
Return and Risk
  • Two dimensions to financial decision
  • Return Risk
  • Investors want to maximise return
  • And minimise risk
  • Trade off between risk and return

4
Calculating returns
  • Calculating return has been covered in previous
    topic
  • Where
  • Pt Price in time t
  • Pt-1 Price in time t-1
  • t is the holding period
  • the holding period could be a day, a month, a
    year, etc.
  • In a similar fashion we can calculate market
    index return. See the example in the textbook.
  • Remember that we must include dividends in the
    above calculation

5
Calculating returns
  • The above measures single period return. (Say
    daily, monthly, etc). The above return is also
    calculated using historical information.
  • Say we calculate the monthly returns for a
    certain company for six months
  • Return
  • Month 1 10
  • Month 2 5
  • Month 3 5
  • Month 4 3
  • Month 5 6
  • Month 6 4
  • We can calculate the average return and the
    standard deviation of returns for the six month
    for this company

6
Average return and Standard devation
7
Risk
  • Risk is uncertainty. The uncertainty of how
    actual outcomes may differ from what is expected.
  • In Finance, risk is measured in terms of standard
    deviation of returns.
  • In our discussion above, we have used historical
    information to calculate risk. However, past
    risk may not be necessarily a good indicator of
    future risk.
  • One way to refine our analysis for risk would be
    to attach a probability to possible future
    outcomes and calculated the expected return (what
    you expect future returns to be) and standard
    deviation of expected return (what you expect the
    risk of the investment to be).

8
Expected Value
  • Economic Probability Return on
  • Conditions investment
  • Boom 0.30 35
  • Steady Growth 0.40 20
  • Slump 0.30 5
  • What is the expected return, that is the long run
    return for this investment?

9
Expected return and standard deviation
  • Return(Ri) P(Ri) Ri x P(Ri)
  • 35 0.30 10.5 (35 - 20)2 x 0.3 67.5
  • 20 0.40 8 (20 - 20) 2 x 0.4 0
  • 5 0.30 1.5 (5 - 20)2 x 0.3 67.5
  • 20 135
  • Expected Value 20
  • Standard deviation 11.61

10
Partitioning risk
  • Invest in a number of securities instead of just
    one Why??
  • Should reduce the variability of returns (This is
    the basis of diversification)
  • As long as the assets do not move perfectly
    together (perfectly positively correlated), you
    will achieve some reduction in the variability of
    the returns.

11
Systematic and unsystematic risk
Unsystematic risk
Total Risk
Systematic or non-diversifiable risk
As you include more assets into your portfolio,
your unsystematic risk declines.
12
Diversification - an example
  • Gains from diversification are only possible on
    securities that are less than perfectly
    positively correlated. If securities are
    perfectly positively correlated than it would
    only result in risk averaging.
  • Say you have invested 50 in Share A and 50 in
    share B
  • Return on Share A Return on Share B
  • 10 9
  • 5 10
  • 7 6
  • 6 15
  • Average return 7 Average return 10
  • ?A 2.16 ?B 3.74

13
Diversification
  • Instead of holding just one of the shares. Say
    we now decide to hold 50 of our holdings in
    share A and 50 in share B
  • Portfolio (50 of A and 50 of B)
  • Return on portfolio
  • (109)/2 9.5
  • (510)/2 7.5
  • (76)/2 6.5
  • (6 15)/2 10.5
  • Average return 8.5
  • ?p 1.83

14
Characteristic line
  • If we regress the return on an asset with the
    return on a market index, we get the
    characteristic line.
  • The slope of the characteristic line is called
    beta. It measures the sensitivity of the assets
    return to the return on the market.
  • Beta is a measure of risk. Companies with large
    betas are more sensitive to the market.

15
Capital Asset Pricing Model (CAPM)
  • A model that prices risk. It gives you rate of
    return you should get given a level of risk.
  • The return on the jth asset depends on its beta.
    The return is the risk free rate plus a premium
    for taking risk.
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