Investment Analysis Assignment Part II - Summer 2018

This document covers portfolio construction, advanced portfolio, and out of sample portfolio analysis. It includes weekly return, expected return and variance-covariance matrix, portfolio beta, total risks, capital market line, security market line, root-mean-square error, expected return, variance, beta, R^2, and more.

25503 Investment Analysis
Assignment |Part II
Summer 2018

Table of Contents
Part 1: Portfolio Construction....................................................................................................3
[a] Weekly Return..................................................................................................................3
[b] Expected Return and Variance- Covariance Matrix.........................................................3
[c] Portfolio beta.....................................................................................................................3
[d] Total Risks........................................................................................................................3
[e] Capital Market Line (CML):.............................................................................................4
[f] Security Market Line (SML):............................................................................................5
Part 2: Advanced Portfolio.........................................................................................................7
[a] Portfolio with beta = 1......................................................................................................7
[b] Root-Mean-Square Error (RMSE)....................................................................................8
[c] RMSE with top 5:.............................................................................................................9
[d] Expected Return, variance, beta and R^2:........................................................................9
Part 3: Out of Sample portfolio................................................................................................10
[a] Time-series plot of the tracker portfolio.........................................................................10
[b] Simple annualised return of the tracker portfolio...........................................................10
[c] Beta, R^2, and RMSE.....................................................................................................10

Part 1: Portfolio Construction
[a] Weekly Return
[b] Expected Return and Variance- Covariance Matrix
[c] Portfolio beta
[d] Total Risks

[e] Capital Market Line (CML):
0.1 0.12 0.14 0.16 0.18 0.2 0.22 0.24 0.26 0.28 0.3
0
0.05
0.1
0.15
0.2
0.25
0.3
TLS WOW
MQG
WES
NAB
ANZWBC
CSL
BHP
CBA
Capital Market Line
Portfolio Stdev
Portfolio Return

[f] Security Market Line (SML):
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8
0
0.05
0.1
0.15
0.2
0.25
0.3
NAB
TLS WOW
MQG
WES
ANZ
WBC
CSL
BHP
CBA
Security Market Line
Portfolio Beta
Portfolio Return
Based on the above mentioned SML, below stocks will be considered as overvalued or
undervalued:
Stocks
Overvalued/
Undervalued
CBA Overvalued
BHP Overvalued
CSL Undervalued
WBC Overvalued
ANZ Overvalued
NAB Overvalued
WES Overvalued
MQG Overvalued

WOW Overvalued
TLS Overvalued

Part 2: Advanced Portfolio
[a] Portfolio with beta = 1
If a portfolio has a beta of 1, then it is fully diversified to the market. This means that for
every 1% the stock market goes up or down, the portfolio will also go up or down by 1%. In
order to find out the portfolio of 10 stocks, whose beta is equivalent to 1, MS Excel solver
has been applied here. First of all, individual stock’s beta and return has been considered here
and the portfolio beta is calculated using the below mentioned formula:
Portfolio beta = ∑wi; i = 1,2,3, …., 10
Where wi is weights of individual stock and is individual stock’s beta value. The below
solver model is developed for calculating weights of individual stock:
Running the model below solution has been found:

[b] Root-Mean-Square Error (RMSE)
Unlike above, to find out the Root-Mean-Square Error (RMSE) of the difference in weekly
returns between the portfolio and theASX200 index, MS Excel is used as mentioned below:
Microsoft excel sumproduct function used to find out the error term. After that using sum and
SQRT function, the root mean square error is calculated. Once the RMSE has been calculated
excel solver is used to minimise the RMSE value. The model that has been built here is
mentioned as below:
The model has given below solution:
From this solution, it can be said that the minimum RMSE is 0.0054642

[c] RMSE with top 5 stocks:
[d] Expected Return, variance, beta and R^2:
As mentioned below, the table is showing return, variance and beta value of each of the three
portfolio developed in this section. Considering all factors, it can be said that option 2, that is
minimum RMSE with 10 stocks will be considered.

Part 3: Out of Sample portfolio
[a] Time-series plot of the tracker portfolio
11/3/2017
11/17/2017
12/1/2017
12/15/2017
12/29/2017
1/12/2018
1/26/2018
2/9/2018
2/23/2018
3/9/2018
3/23/2018
4/6/2018
4/20/2018
5/4/2018
5/18/2018
6/1/2018
6/15/2018
6/29/2018
7/13/2018
7/27/2018
8/10/2018
8/24/2018
9/7/2018
9/21/2018
10/5/2018
10/19/2018
11/2/2018
$900,000.00
$920,000.00
$940,000.00
$960,000.00
$980,000.00
$1,000,000.00
$1,020,000.00
$1,040,000.00
$1,060,000.00
Tracker Portfolio Vs ASX 200
Tracker Portfolio Value ASX 200 Portfolio Value
[b] Simple annualised return of the tracker portfolio
[c] Beta, R^2, and RMSE
The result is showing that the tracker portfolio has evidenced similar results as shown by the
historical stocks portfolio shown in second part.