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Lecture 1 Investments

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Investments
GRA6534 - Lecture 1
Giovanni Pagliardi
Welcome!
• Instructor
• Giovanni Pagliardi - PhD, ESSEC Business School Paris
• Email: giovanni.pagliardi@bi.no
• Office hours: Thursday 10.00-12.00 or by appointment
• This course
• 12 lectures
• 2/3 synchronous, 1/3 asynchronous
•
•
•
•
•
Two events (BI Talks) in addition to the 12 lectures: Nicolai Tangen and Kjerstin Braathen
Pre-recorded videos. To be watched after class
Two take-home projects in groups
Digital drop-in sessions
Non-mandatory sets of individual homework assignments
Determination of final course grade
• Work requirement: Bloomberg Market Concept
• All students must get the BMC certification before October 4th at 23.59
• To validate the BMC one must get at least 50% of correct answers in the sections of the BMC
considered mandatory to receive the Bloomberg certificate
• Careful! If you forget to complete it, BI will not allow you to take the final exam
• Mid-term test (counts 30%)
• On November 7th
• It includes two parts:
• Two take-home projects to be done in groups of 4-5 students, during the semester
• One 24-hour, take-home multiple choice test to be done individually
• All students must upload the PDFs of the two projects in Wiseflow when submitting their
answers to the multiple choice
• The multiple choice will cover theory questions or short exercises related to the projects
• You will receive a letter grade for the midterm test as an average of the projects and the test
Determination of final course grade
• Final written (counts 70%)
• It includes three parts:
• Multiple choice
• Exercises
• True/False with explanation of the answer in maximum 5 lines
• You will receive a letter grade from the final exam as well
• The final course grade is determined as a weighted average of the two letter grades from
the midterm and final exams, conditional on the validation of the BMC
• Example 1: The student receives A in the 70% component and B in the 30%. Grade: A
• Example 2: The student receives B in the 70% component and A in the 30%. Grade: B
Contents – Lecture 1
1. Overview of the course
2. Pricing different investments
3. Risk – expected return trade-off
Example with lotteries
4. Two ways of pricing
1. OVERVIEW OF THE COURSE
❖ Four different types of investments covered in this course:
a
b
BONDS
•
Bond pricing.
•
The term structure of
EQUITY
related
c
HOUSING
•
•
interest rates.
assignment will come
FUNDS
(Alternative investments)
Difference between
The most important question to be answered is:
hedge funds, mutual
Can returns be predicted?
funds, and closed-end
funds.
➞ After this point, the
first computer
d
•
There is a strong similarity between equity returns
For each type of
investment, the
pricing is done in
the same way.
and housing returns.
out.
6/13
2. PRICING OF DIFFERENT INVESTMENTS
• There are two essential approaches to price any kind of investments:
1
•
RISK-BASED EXPLANATION
Entirely based on the rationality of the investors,
2
•
BEHAVIORAL EXPLANATION
Tells you that investors are not necessarily always
rational.
i.e., the investors can process all the info they
have well, and in the end, they base their
For this course, we will
start with the
assumption that
investors are rational
and will see how to
price the assets to
reflect their risk.
•
There are other factors, like:
decision on the trade-off between risk and
— Overreaction
expected returns.
— Optimism
Example 1: Investors’ overreactions after news.
Example 2: CUBA fund (2014)
Example: It’s 2011 and you have a Norwegian
government bond and a Greek government bond.
Which one would you prefer? Hint: first look at
the risk, then set the price.
7/13
3. RISK – EXPECTED RETURN TRADE – OFF
• The expected return of an asset is the expected gain divided by the price:
π”Όπ‘Ÿ =
𝔼𝑑 πΊπ‘Žπ‘–π‘›
𝑃𝑑
=
𝔼𝑑 𝑃𝑑+1 −𝑃𝑑
𝑃𝑑
=
𝔼𝑑 𝑃𝑑+1
𝑃𝑑
−1
If we rearrange:
1+𝔼 π‘Ÿ =
𝔼𝑑 𝑃𝑑+1
𝑃𝑑
Remember our goal: To find the price of our investment, so you can decide to buy or sell.
9/13
If we solve for Pt, we get the standard pricing formula:
𝑃𝑑 =
𝔼𝑑 𝑃𝑑+1
1+𝔼 π‘Ÿ
➜ The asset’s price today is the expected value of my cash flows tomorrow, discounted at a certain interest
rate.
•
If you want to find the price of an investment, you need to compute two quantities: 𝔼𝑑 𝑃𝑑+1 and 1 + 𝔼 π‘Ÿ .
•
𝔼𝑑 𝑃𝑑+1 is the expectation of a future price (i.e., what would be the cash flow tomorrow?).
➜ You dont’t take into account any uncertainty around that expectation. Then, where are you taking into account
the risk in your computation?
➜ At the DENOMINATOR!
⇒ Risk must be incorporated in the expected returns (𝔼 π‘Ÿ ).
10/13
Expected returns are only
determined by risk!
EXAMPLE WITH LOTTERIES
• Let’s try to show that there must be a relationship through which expected returns are only
determined by risk.
• Let’s suppose that we have three lotteries:
Lottery
Pay-off
Probability of
pay-off
Expected pay-off
(𝔼[π‘·π’‚π’šπ’π’‡π’‡])
A
$100
100%
$100
B
$0
or
$200
50%
$100
or
$300
50%
C
$100
50%
$200
50%
11/13
Question: Between B and C, which lottery would you prefer?
Question: Which lottery is riskier?
Remember that:
𝑃𝑑 =
𝔼𝑑 𝑃𝑑+1
1+𝔼 π‘Ÿ
Price lottery A:
Price lottery B:
100
𝑃𝑑 =
1 + 𝔼[π‘Ÿ]
100
𝑃𝑑 =
1 + π‘Ÿπ‘“
Let’s assume investors are willing to pay $80 for
Where π‘Ÿπ‘“ is the risk-free rate.
every $100 they are promised.
Therefore, lottery A is a riskless asset.
⇒ 𝑃𝑑 = $80
100
⇒ 80 = 1+𝔼[π‘Ÿ]
⇒π”Όπ‘Ÿ =
12/13
100
−
80
1 = πŸπŸ“%
Question: Between lottery A and B, which one would you prefer?
Note: 𝔼 π‘Ÿπ΅ > 𝔼[π‘Ÿπ΄ ]
A statement on expected returns is always a statement
on prices
When 𝔼 π‘Ÿ increase (decrease) ⇒ prices decrease (increase)
• We are trying to explain what is driving investors’ expectations of future returns.
Expected
returns
≠
Realized
returns
This course will
try to model
expected
returns
13/13
Price lottery C:
• Let’s assume that standard deviation (sd) is our measure of risk.
• Note that 𝑠𝑑𝐡 = 𝑠𝑑𝐢
• If B and C have the same measure of risk and risk is the only thing that drives expected returns,
⇒ Lottery B and C have the same ex-ante expected returns in equilibrium.
• If you are willing to pay $80 to get $100 (lottery B), how much are you willing to pay in order to get
$200?
Answer: $160 = 𝑃𝐢
160 =
200
1 + 𝔼[π‘ŸπΆ ]
⟹ 𝔼 π‘ŸπΆ =
200
−1
160
⟹ 𝔼 π‘ŸπΆ = 25%
Conclusion: You should be indifferent between lottery B and C.
➜ They have the same risk and the same expected return.
14/13
4. TWO WAYS OF PRICING (for any investment)
• Remember the standard way of pricing an asset: 𝑃𝑑 =
A
B
Incorporate risk in the discount rate
(denominator)
𝑃𝑑 =
𝔼𝑑 𝐢𝐹𝑑+1
1+𝔼 π‘Ÿ
•
𝑝×𝐢𝐹𝑑+1,1 + 1−𝑝 ×𝐢𝐹𝑑+1,2
1+π‘Ÿπ‘“ +𝑅𝑃𝑀𝐾𝑇 +𝑅𝑃𝑆𝑀𝐡 +β‹―
Incorporate risk in the numerator
In this approach, we need to adjust the expectation
with a different probability measure to account for
risk.
Risk premium
•
CAPM
You discount at a risk-free rate. So you have:
𝑃𝑑 =
Multifactor models: You consider all the possible risks
π‘ž×𝐢𝐹𝑑+1,1 + 1−π‘ž ×𝐢𝐹𝑑+1,2
1+π‘Ÿπ‘“
that might affect your price.
Where π‘ž is the risk-neutral probability measure.
Caveat: You need to estimate them and not all of them
will be priced by the market.
15/13
“Annuities and perpetuities”
•
Did you know there is a trick to derive the
Video 1
Video 2
Video 3
Video 4
Video 5
Video 6
formulas of the annuities and perpetuities
without learning them by heart?
➒ To know how, watch the videos!
Test it on your own
•
How would you compute the present value (t=0) of a
perpetuity that starts in the future?
•
Would you be able to derive the formula for the
present value of a growing perpetuity?
16/13
Hw1: Ex 1
LECTURE 1
– Annuity: geometric series
– Annuity: final formula
– Annuity due extension
- Annuity generalization
– Perpetuity formula
- Perpetuity due extension
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