27.01.2015 Views

ANNUAL REVIEW - Australian Centre For Financial Studies

ANNUAL REVIEW - Australian Centre For Financial Studies

ANNUAL REVIEW - Australian Centre For Financial Studies

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

<strong>Australian</strong> Equities<br />

Database<br />

The Melbourne <strong>Centre</strong> for <strong>Financial</strong> <strong>Studies</strong>,<br />

together with ANZ Trustees, has developed a<br />

unique digital database of <strong>Australian</strong> Equities<br />

for the years 1966 to 1980. The database will<br />

present monthly pricing, capital, earnings,<br />

dividend, turnover, and related data for all<br />

listed industrial companies and major mining<br />

and oil companies.<br />

The database is designed to fill gaps<br />

which presently exist in available electronic<br />

databases of <strong>Australian</strong> shares as well as to<br />

provide a more comprehensive base for the<br />

analysis of portfolio formation strategies and<br />

capital asset pricing models.<br />

The period covered by the database<br />

is a fascinating one, where the economy<br />

experienced the triple 1970s extremes of<br />

negative real interest rates, double digit<br />

inflation and arguably the most volatile equity<br />

prices seen last century.<br />

MCFS reviewed both the range of<br />

data sources available and the best available<br />

technology for extracting and recording<br />

data for this period. Currently available<br />

library, microfiche or commercial databases<br />

50<br />

40<br />

30<br />

20<br />

100<br />

-10<br />

-20<br />

-30<br />

-40<br />

-50<br />

Jan-67<br />

Jan-69<br />

Jan-71<br />

Jan-73<br />

Jan-75<br />

Jan-77<br />

Jan-79<br />

Jan-81<br />

Jun-66<br />

Jun-68<br />

Jun-70<br />

Jun-72<br />

Jun-74<br />

Jun-76<br />

Jun-78<br />

Jun-80<br />

for the period are limited in range of<br />

information as well as in accessibility of data.<br />

Technological options reviewed have included<br />

manual extraction, microfiche extraction,<br />

photocopying, imaging and scanning / OCR.<br />

The preferred option of scanning and then<br />

digitising the information to MS Excel using<br />

OCR technology was found to be non-feasible.<br />

Preparation of the <strong>Australian</strong> Equities<br />

Database (AED) consisted of the following<br />

stages:<br />

• Local imaging of the hard copy published<br />

data.<br />

• Extraction of the original data by way of<br />

independent, double-keyed entry to an MS<br />

Excel spreadsheet format.<br />

• Database consolidation and structuring<br />

• Identification of equity capital changes<br />

• Estimation of database extensions (eg.<br />

‘value’ ratios); estimation of individual<br />

equity and market Price Index (PI) and<br />

Accumulation Index (AI) measures.<br />

The database incorporates a total of<br />

1,748 companies and presents monthly data<br />

for measures such as number of shares on<br />

Market Annual % Price Change Real 10 Year Bond Yield % pa CPI % pa<br />

6.0<br />

18 %<br />

16<br />

4.0<br />

14<br />

4.0<br />

12<br />

0.0<br />

10<br />

-2.0<br />

8<br />

6<br />

-4.0<br />

4<br />

-6.0<br />

2<br />

-8.0 0<br />

Jul-66<br />

Jul-68<br />

Jul-70<br />

Jul-72<br />

Jul-74<br />

Jul-76<br />

Jul-78<br />

Jul-80<br />

issue, face value of shares, reported earnings<br />

per share, net tangible assets per share,<br />

dividend declared, dividend payment dates,<br />

dividend yield, monthly turnover of each<br />

equity, and price (low, high and closing).<br />

This basic data enabled preparation<br />

of the following ‘extension’ estimates: market<br />

capitalisation and weighting, risk and equity<br />

returns, price and accumulation index,<br />

dividend yield, dividend payout ratio, price /<br />

earnings ratio, book to market ratio and stock<br />

turnover rates.<br />

Appropriate portfolio risk and<br />

return estimates, together with Price and<br />

Accumulation Indexes, are estimated at<br />

market level and for each company.<br />

The database is then being applied to<br />

a Portfolio <strong>For</strong>mation Model which is capable<br />

of accurate and detailed sensitivity testing<br />

of risk and return outcomes for alternative<br />

portfolio strategies. The model developed<br />

is capable of identifying factor-return and<br />

factor-risk relationships. The model estimates<br />

separate return, risk and equity characteristic<br />

for every equity and every portfolio at<br />

every time point across the 15 year period,<br />

identifying the company constituents of<br />

each portfolio generated. The model is<br />

capable of generating both capital-weighted<br />

and un-weighted portfolio estimates and is<br />

capable of identifying top 50, 200, 500 or<br />

total list groupings by month.<br />

The project has been conducted for<br />

MCFS by its long-time Research Fellow John<br />

Fowler.<br />

CASE STUDY 5<br />

13

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!