Efficient Portfolios with no short-sale restriction - PowerPoint PPT Presentation

1 / 19
About This Presentation
Title:

Efficient Portfolios with no short-sale restriction

Description:

One period return = ET G. Matrix of 60 monthly returns for 30 industry portfolios (60x30) ... z vector that solves the system of linear equations. R-c = Sz ... – PowerPoint PPT presentation

Number of Views:43
Avg rating:3.0/5.0
Slides: 20
Provided by: rossitsa5
Category:

less

Transcript and Presenter's Notes

Title: Efficient Portfolios with no short-sale restriction


1
Efficient Portfolios with no short-sale
restriction
  • MGT 4850
  • Spring 2009
  • University of Lethbridge

2
Portfolio return
  • One period return gt ET G
  • Matrix of 60 monthly returns for 30 industry
    portfolios (60x30)
  • Column vector of equal weights (30x1)
  • We get 60 period returns of a portfolio of
    equally weighted industries (column vector)

3
Market risk
  • Calculate covariance of portfolio returns with
    market return
  • Calculate variance of market returns
  • Beta of the protfolio

4
Copy versus Functions
  • Transpose of a vector or matrix created with the
    function changes with change in the origin, e.g.
    portfolio variance GTS G will recalculate
    correctly if we change weights in the original
    vector of weights.
  • Another way to avoid this error is to check
    validate when we copy and paste special -
    transpose

5
Overview
  • CAPM and the risk-free asset
  • CAPM with risk free asset
  • Blacks (1972) zero beta CAPM
  • The objective is to learn how to calculate
  • Efficient Portfolios
  • Efficient Frontier

6
Notation
  • Weights a column vector G (Nx1) its transpose
    GT is a row vector (1xN)
  • Returns - column vector E (Nx1) its transpose
    ET is a row vector (1xN)
  • Portfolio return ET G or GT E
  • 25 stocks portfolio variance GTS G
  • GT(1x25)S(25x25) G(25x1)
  • To calculate portfolio variance we need the
    variance/covariance matrix S.

7
(No Transcript)
8
Covariance of two portfolios
  • Expected return of portfolio X is a column vector
    Ex (Nx1)
  • Expected return of portfolio Y is a column vector
    Ey (Nx1) (note you have the same number of
    returns, whether the portfolio have the same
    number of assets or not)
  • Variance-covariance matrix S (NxN)
  • Covariance x,y XTS Y

9
Theorems on Efficient Portfolio
  • Solve simultaneously for x and y
  • x y10 
  • x - y2
  • Arbitrary chosen constant c

10
Portfolio on the envelope
  • Vector z solves the system of simultaneous linear
    equations
  • E(r3) c Sz
  • This solution produces x
  • z S-1 E(r) c
  • x x1,.. Xn

11
Calculating the efficient frontier
  • Only four risky assets

12
Find two efficient portfolios
  • Minimum Variance
  • Market portfolio
  • Use proposition two to establish the whole
    envelope
  • CML
  • SML

13
Zero beta CAPM Black (1972)
14
Notation
  • R is column vector of expected returns
  • S var/cov matrix
  • c arbitrary constatnt
  • z vector that solves the system of linear
    equations
  • R-c Sz
  • Solving for z needs inverse matrix of S (S-1)

15
Simultaneous equations
  • E(r1 )-c z1s11 z2s12 z3s13 z4s14
  • E(r2 )-c z1s21 z2s22 z3s23 z4s24
  • E(r3 )-c z1s31 z2s32 z3s33 z4s34
  • E(r4 )-c z1s41 z2s42 z3s43 z4s44
  • The vector z assigns proportions to each asset.
    Find the weights as a proportion of the sum.

16
The Solution is an envelope portfolio
  • Vector z is
  • z S-1 R-c
  • Vector z solves for the weights x
  • xx1,.. xN

17
Calculating two envelope portfolios (p.268)
  • Choose arbitrary a constant solve for 0 constant
    also
  • Weight vector is calculated from z by dividing
    each entry of z by the sum of all entries of the
    z vector.

18
Weights portfolio X c0
19
Weights portfolio Y c0.04
Write a Comment
User Comments (0)
About PowerShow.com