Bond Lecture
Autor: Oleg Gnatsch • December 5, 2016 • Course Note • 1,746 Words (7 Pages) • 561 Views
PORTFOLIO INVESTMENT:
TECHNICAL ANALYSIS:
RISK AND RETURN
Return:
[pic 1]
[pic 2]
Share prices can rise and fall rapidly. Investors must accept that the value of their shares may fluctuate by as much as 50% or more in a year.
[pic 3]
Volatility is the degree of variation of a trading price series over time as measured by the standard deviation of returns.
1) Passive investing (“buy-and-hold”):
? RΔP(A) = RΔP(B)
2) Active investing:
? RΔP(A) > RΔP(B)
? Risk(A) < Risk(B)
Quantitative assessment of income and risk is made by technical analysis with the folowing indicators.
Dispersion is a statistical term describing the size of the range of values expected for a particular variable. It is often interpreted as a measure of the degree of uncertainty, and thus risk, associated with a particular security or investment portfolio..
[pic 4] (1)
[pic 5] – mean (average) value of return for the whole period;
r – return for each period of time;
n – number of periods.
Typical objective assessment of expected return and risk is based on the actual data of the previous 5 years for monthly returns values (n=60).
Standard deviation is another commonly used statistic for measuring investment or portfolio's volatility. The lower the standard deviation, the lower the volatility. For example, a stock has a standard deviation of 20.0% with an average return of 10%. An investor should expect the price of the investment to move 20% in either a positive or negative manner away from the average return. In theory, the stock can fluctuate in value from negative 10% to positive 30%.
Stocks have the highest standard deviation, with bonds having much lower measures.
[pic 6](2)
Exercise#3. What is the future return and risk?
Period | Return | |
А | В | |
1. | 20 | 15 |
2. | 18 | 20 |
3. | 23 | 24 |
4. | 21 | 26 |
5. | 17 | 23 |
6. | 15 | 19 |
7. | 19 | 16 |
Mean (average) Return | 19 | 20,4 |
Dispersion | 6 | 14,53 |
Standard Deviation | 2,45 | 3,81 |
The Bell curve: Normal law of random variable distribution
[pic 7]
А | В | |
1. Mean (average) Return, % | 19 | 20,4 |
2. Standard Deviation, % | 2,45 | 3,81 |
3. Interval of expected return, % 1) Р=68,3%: 2) Р=95,5%: 3) Р=99,7%: | (16,55 ; 21,45) (14,1 ; 23,9) (11,65 ; 26,35) | (16,59 ; 24,21) (12,78 ; 28,02) (8,97 ; 31,83) |
...