history of interest rates and risk premiums, bkm ch 5
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History of Interest Rates and Risk Premiums, BKM Ch 5. Zvi Wiener tel: 02-588-3049 [email protected]. Factors Influencing Rates. Supply Households Institutions Demand Businesses Government’s Net Supply and/or Demand Federal Reserve Actions. r 1. r 0. Demand. Q 0. Q 1. Funds. - PowerPoint PPT PresentationTRANSCRIPT
Fall-02http://pluto.mscc.huji.ac.il/
~mswiener/zvi.htmlInvestments
Zvi Wienertel: 02-588-3049 [email protected]
History of Interest Rates and Risk Premiums, BKM Ch 5
Zvi Wiener BKM Ch 5 slide 2
Factors Influencing Rates
SupplyHouseholdsInstitutions
DemandBusinesses
Government’s Net Supply and/or DemandFederal Reserve Actions
Zvi Wiener BKM Ch 5 slide 3
Q0 Q1
r0
r1
Funds
Interest Rates
Supply
Demand
Interest Rates
Supply
Q0 Q1
r0
r1
Funds
Demand
Level of Interest Rates
Zvi Wiener BKM Ch 5 slide 4
Fisher effect: Approximationnominal rate = real rate + inflation premium
R = r + i or r = R - iExample r = 3%, i = 6%
R = 9% = 3% + 6% or 3% = 9% - 6%Fisher effect: Exact
r = (R - i) / (1 + i) 2.83% = (9%-6%) / (1.06)
Empirical Relationship:Inflation and interest rates move closely together
Real vs. Nominal Rates
Zvi Wiener BKM Ch 5 slide 5
P
DPPHPR0
101
HPR = Holding Period Return
P0 = Beginning price
P1 = Ending price
D1 = Dividend during period one
Inappropriate for complex securities!
Rates of Return: Single Period
Zvi Wiener BKM Ch 5 slide 6
Ending Price = 48
Beginning Price = 40
Dividend = 2
HPR = (48 - 40 + 2 )/ (40) = 25%
Rates of Return: Single Period Example
Zvi Wiener BKM Ch 5 slide 7
1) Mean: most likely value
2) Variance or standard deviation
3) Skewness
* If a distribution is approximately normal, the distribution is described by characteristics 1 and 2.
Characteristics of Probability Distributions
Zvi Wiener BKM Ch 5 slide 8
Symmetric distribution
mean
s.d. s.d.
Normal Distribution
Zvi Wiener BKM Ch 5 slide 9
Subjective returns
p(s) = probability of a stater(s) = return if a state occurs1 to s states
Measuring Mean: Scenario or Subjective Returns
rprE s
s
s1
)(
Zvi Wiener BKM Ch 5 slide 10
Basic Statistics
Mean Independence
Standard Deviation Conditioning
Variance Joint distribution
Volatility CDF, PDF
Skewness Regression
Correlation Arithmetic, Geometric
Quantile Normal, Student, …
Zvi Wiener BKM Ch 5 slide 11
Geom. Arith. Stan.Series Mean% Mean% Dev.%Sm Stk12.6 18.8 39.7Lg Stk 11.1 13.1 20.2LT Gov 5.1 5.4 8.1T-Bills 3.8 3.8 3.3Inflation 3.1 3.2 4.5
Annual Holding Period ReturnsFrom Figure 6.1 of Text
Zvi Wiener BKM Ch 5 slide 12
Risk RealSeries Premiums% Returns%Sm Stk 15.0 15.6Lg Stk 9.3 9.9LT Gov 1.6 2.2T-Bills --- 0.6Inflation --- ---
Annual Holding Period Risk Premiums
and Real Returns
Zvi Wiener BKM Ch 5 slide 13
Home Assignment
Required:
• problems 2, 8, 11, 16, 17 (3rd ed).
• problems 2, 8, 11, 14, 15 (5th ed).
• visit http://research.stlouisfed.org/publications/mt
• closely follow financial news!
Zvi Wiener BKM Ch 5 slide 14
Home Assignment
: איזה משני האפיקים הבאים רווחי יותר למשקיע
ריבית מחושבת רבע שנתית או אפיק %5': אפיק א
ריבית צמודה למדד מחושבת חצי %3.5ב':
שנתית. שני האפיקים ברמת סיכון זהה.
.%1.5האינפלציה השנתית שהתממשה היתה
Zvi Wiener BKM Ch 5 slide 15
Random Variables
Distribution function of a random variable X
F(x) = P(X x) - the probability of x or less.
If X is discrete then
xx
i
i
xfxF )()(
If X is continuous then
x
duufxF )()(
Note thatdx
xdFxf
)()(
Zvi Wiener BKM Ch 5 slide 16
MomentsMean = Average = Expected value
dxxxfXE )()(
Variance
dxxfXExXV )()()( 22
VarianceDeviationdardS tan
Zvi Wiener BKM Ch 5 slide 17
Chapter 5 Weblinkshttp://www.bloomberg.com/markets/wei.htmlReturns on various equity indexes can be located here. http://app.marketwatch.com/intl/default.aspReturns on various equity indexes can be located here. http://www.quote.com/quotecom/markets/snapshot.aspReturns on various equity indexes can be located here. http://www.bloomberg.com/markets/rates.htmlCurrent rates on U.S. and international government bonds can be located on this site.
http://www.bondmarkets.comThe site above is from the bond market association. General information on a variety of bonds and strategies can be accessed on line at no charge.
Zvi Wiener BKM Ch 5 slide 18
http://www.investinginbonds.comThe site above is from the bond market association. General information on a variety of bonds and strategies can be accessed on line at no charge. Current information on rates is also available on the www.investinginbonds.com site. http://www.stls.frb.org/The site listed above contains current and historical information on a variety of interest rates. Historical data can be downloaded in spreadsheet format and is available through the Federal Reserve Economic Database (FRED) http://www.stls.frb.org/docs/publications/mt/mt.pdfThe site listed above contains current and historical information on a variety of interest rates. Historical data can be downloaded in spreadsheet format and is available through the Federal Reserve Economic Database (FRED)
Zvi Wiener BKM Ch 5 slide 19
221121 ),( XEXXEXEXXCov
Its meaning ...
3
3
1XEXE
21
2121
),(),(
XXCov
XX
Skewness (non-symmetry)
4
4
1XEXE
Kurtosis (fat tails)
Zvi Wiener BKM Ch 5 slide 20
Main properties
)()( XbEabXaE
)()( XbbXa
)()()( 2121 XEXEXXE
),(2)()()( 2122
12
212 XXCovXXXX
Zvi Wiener BKM Ch 5 slide 21
Portfolio of Random Variables
XwXwY TN
iii
1
N
iiiX
TTp wwXEwYE
1
)()(
N
i
N
jjiji
T wwwwY1 1
2 )(
Zvi Wiener BKM Ch 5 slide 22
Uniform DistributionUniform distribution defined over a range of values axb.
bxaab
xf
,1
)(
12
)()(,
2)(
22 ab
Xba
XE
xb
bxaab
ax
ax
xF
,1
,
,0
)(
Zvi Wiener BKM Ch 5 slide 23
Uniform Distribution
a b
ab 1
1
Zvi Wiener BKM Ch 5 slide 24
Normal DistributionIs defined by its mean and variance.
2
2
2
)(
2
1)(
x
exf
22 )(,)( XXE
Cumulative is denoted by N(x).
Zvi Wiener BKM Ch 5 slide 25
-3 -2 -1 1 2 3
0.1
0.2
0.3
0.4
Normal Distribution66% of events liebetween -1 and 1
95% of events liebetween -2 and 2
Zvi Wiener BKM Ch 5 slide 26
Normal Distribution
-3 -2 -1 1 2 3
0.2
0.4
0.6
0.8
1
Zvi Wiener BKM Ch 5 slide 27
Normal Distribution
symmetric around the mean
mean = median
skewness = 0
kurtosis = 3
linear combination of normal is normal
99.99 99.90 99 97.72 97.5 95 90 84.13 50
3.715 3.09 2.326 2.000 1.96 1.645 1.282 1 0
Zvi Wiener BKM Ch 5 slide 28
Central Limit Theorem
The mean of n independent and identically distributed variables converges to a normal distribution as n increases.
n
iiX
nX
1
1
nNX
2
,
Zvi Wiener BKM Ch 5 slide 29
Lognormal DistributionThe normal distribution is often used for rate of return.
Y is lognormally distributed if X=lnY is normally distributed. No negative values!
2
2
2
))(ln(
2
1)(
x
ex
xf
22
2
22222 )(,)(
eeXeXE
222 )(ln)(,)(ln)( XYXEYE
Zvi Wiener BKM Ch 5 slide 30
Lognormal DistributionIf r is the expected value of the lognormal variable X, the mean of the associated normal variable is r-0.52.
0.5 1 1.5 2 2.5 3
0.1
0.2
0.3
0.4
0.5
0.6