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Lecture notes Corporate Finance and Behaviour

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2020/2021
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NOTES LECTURE CORPORATE FINANCE


Lecture 1

Chapter 8: Portfolio theory and capital asset pricing model (CAPM)

 Considerations for setting up a portfolio of investments to reduce risk”
1. Covariance between two components in a portfolio
2. Correlation between two components with respect to their return. The correlation
between 2 shares can be between -1<p<1. Preference for investments in companies
who are negatively correlated (p=-1) like ice creams and umbrellas.
 Systematic risk: risk that influences a large number of assets also known as “market
risk”
 Unsystematic risk: risk that affects at most a small number of assets. Also referred to
as “unique” or “asset specific”risk. As the unsystematic risk is unique to the asset, it
also unrelated to other asset’s unique risk.
 How to reduce the risk i.e the standard deviation of an investment?
- Diversification: investing in a number of companies instead of just 1 company.
The risk of you overall investment will go down in case the money is invested in
various companies.
 Standard deviation: the difference between de average return on the market and
the expected return.
 Portfolio diversification:




 Suppose we have a portfolio with 2 perfectly positively correlated shares (p=+1)




- Because the 2 shares are perfectly positively correlated ( ρ=+ 1) there are no
Diversification effects! The absence of Diversification is indicated by the red
straight line.
- What happens in case a different share is introduced with a lower correlation (
ρ=+ 0.6 )


1

, NOTES LECTURE CORPORATE FINANCE

- As a result of diversification the blue line makes a turn (compared to the red
line). It now becomes plain that a reduction of risk (lower SD) can be achieved
whilst obtaining a higher return or obtaining a higher return with the same
original risk (=standard deviation)
- Mathematically:
o Expected return is the weighted average of the returns of A and B:
o R portfolio =ωa Ra +(1−ω a) Rb
o The variance of the portfolio returns:
o σ 2portfolio =ω2a σ 2a +2 ωa ( 1−ω a ) ρ ab σ a σ b + ( 1−ω a ) 2σ 2b
o The portfolio variance can also be described as:
o σ 2portfolio =ω2a σ 2a +2 ωa ( 1−ω a ) Cov ( Ra , Rb ) + ( 1−ω a ) 2 σ 2b
o Covariance between 2 shares is defined as:
o Cov ( Ra , R b)=σ ab =ρab σ a σ b




Risk premium r −r f
o Sharpe ratio= =
Standard deviation σ

- Beta (B):
o σ i ,m : covariance with market
o σ 2m : variance of market
o Because Unsystematic risk can be diversified only Systematic risk is priced
in the market

 Overview risk:




2

, NOTES LECTURE CORPORATE FINANCE




 Portfolio theory: the intention is to make an efficient portfolio where expected




return is balanced against the
risk appreciation. To find the optimal portfolio we use the efficient frontier

- Investors can borrow or lend against the risk free rate rf belonging to the riskfree
assets allowing
a higher return
as of 5 superior
returns can be
realized.
 In relation to the market: risk and return: security market line




 SML, CAPM and reward-to-risk ratio for an asset:




3

, NOTES LECTURE CORPORATE FINANCE




 Definitions Formula:




- The pure time value of money: As measured by the risk-free rate, Rf, this is
reward for merely waiting for your money, without taking any risk.
- The reward for bearing systematic risk: As measured by the market risk
premium, E(RM)-Rf, this component is the reward the market offers for bearing
an average amount of systematic risk in addition to waiting
- The amount of systematic risk: as measured by B1, this is the amount of
systematic risk present in a particular asset or portfolio, relative to that in an
average asset
 In equilibrium, the reward-to-risk ratio must be the same for all the assets in the
market:




 Alternative theories:
- Arbitrage Pricing Theory: The expected risk premium (r −r f ) is dependent on
certain macroeconomic factors and possible events specific to the company (see
page 213) See as an example the Three factor Model (Fama & French) to explain
the returns of companies. (Bachelor Thesis material / regression Analysis.)




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