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“Market Eye Q”
Analysis of financial management levers for
stock selection
This presentation has been prepared for the Actuaries Institute 2015 Actuaries
Summit.
The Institute Council wishes it to be understood that opinions put forward herein
are not necessarily those of the Institute and the Council is not responsible for
those opinions.
Cary Helenius, Kevin Gomes &
Graham Taylor
2
Phase 1
Analysis of financial management levers
for assessment of company
management
Case Studies
Phase 2
Analysis of financial management levers for stock selection
Outline of Presentation:
Total Shareholder Return (TSR) is affected by a number of
factors (“Ps” & “Qs”):
Total Shareholder Return*
Q's
P's
Quantitative – Financials under
company influence
Price (short term) Perception Prospects
3
* “Total Shareholder Return” = Share price change and dividend yields
Management can drive a company’s TSR over future
periods by appropriately managing company financials…
Total Shareholder Return
Q's
P's
Quantitative – Financials under company influence
Price (short term) Perception
Prospects
4
We have explored the relationship between a company’s
reported financials and Relative TSR*…
= 81,000 data points
6 monthly data points over past 12 years
225 companies analysed
We have only included ratios which were clear and objective
measures, derived from the publicly released results
…and found a strong relationship for certain ratios * “Relative TSR” = TSR relative to the market average
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Taken in combination, the financial ratios were used to
model the Relative TSR
Company Predicted Relative TSR Rank
Predicted Relative TSR Quartile
1. aaa 17 1st
2. bbb 205 4th
3. ccc 115 3rd
… … …
… … …
225. xyz 81 2nd
…with companies ranked and grouped into quartiles
according to their predicted Relative TSR level
Companies in the top quartile represent those
with optimal mix of financial parameters
across P&L, Cashflow and Balance Sheet
a
7
Price related ratios were excluded for purposes of assessing
company management performance … Financial Ratio P&L Cashflow Balance
Sheet Share Price
ROE
Change in ROE
ROFE
NPAT growth
ROFE growth
Net debt to equity
Change in net debt to equity
Net debt to total funds employed
Net interest cover
Pay out ratio
Net cash flow to NPAT
EPS growth
Revenue growth
Dividend Yield
P/E
…but were included in
our stock selection
model as they provide
useful information on
valuation levels
Price related ratios excluded from our analysis of company management on the basis that
share price is not within management control
8
Phase 1
Analysis of financial management levers
for assessment of company
management
Case Studies
Phase 2
Analysis of financial management levers for stock selection
Outline of Presentation:
Case Study 1: Fine-tuning corporate strategy
Increasing
Inc
rea
sin
g
Year on year change in ROFE (increasing )
9
The company had used dividend and EPS growth as its primary share price drivers
The heat maps demonstrated that the company was not in the optimal area for pay-out ratio and yield, and also showed that EPS growth was a poor measure
The data highlighted that Return on Funds Employed
was deteriorating and it appeared the market was more
focused on this measure
The company was able to incorporate the findings in the development of their corporate strategy
Case Study 2: Setting executive remuneration
Inc
rea
sin
g
Increasing
10
The company identified a financial ratio which it wanted to use in its executive remuneration
We determined the ratio (ROCE) had a relationship with Relative TSR and determine the companies ranking on this measure within an industry peer group
We were able to align the executive bonus targets
with the Relative TSR findings
The company was able to demonstrate to proxy advisers and investors that the bonus setting mechanism was aligned to driving shareholder returns
-40%
-20%
0%
20%
40%
60%
80%
-15%
0%
15%
30%
scenario A scenario B scenario C
average RTSR 0 (LHS) positive RTSR occurences (RHS) level of debt funding (RHS)
level of debt funding
aver
age
RTS
R
0%
ratio +ve &
-ve
Capital mix for aquisitions
Case Study 3: Capital funding mix for acquisitions
A B C
11 11
We determined that there was a Relative TSR relationship for companies that increased their assets by more than 15%
The scenario analysis demonstrated that certain
mix of debt and equity funding had a high
frequency of positive Relative TSR outcomes (A)
whereas an alternative strategy (C) had a high
frequency of negative Relative TSR outcomes
The company was able to optimise its funding composition of a potential acquisition (B) , within its internal constraints to minimise the potential negative Relative TSR aspects and maximise the positive Relative TSR aspects
Case Study 4: Capital management initiatives
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We determined that there was a Relative TSR relationship for companies changing their dividend policy and introducing share buy backs
The scenario analysis demonstrated that certain
combination of dividend and share buy back
had a high frequency of negative Relative TSR
outcomes (A,B and D) whereas an alternative
strategy had a high frequency of positive Relative
TSR outcomes (C)
The company was able to discuss the alternative strategies at the board with supporting equity market analysis of the likely investor response
A B C D
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Phase 1
Analysis of financial management levers
for assessment of company
management
Case Studies
Phase 2
Analysis of financial management levers for stock selection
Outline of Presentation:
We have constructed a model of relative share price to
company financials….
• GLM (normal error term)
• Explanatory variables: Company financials
• Response: Relative change in share price plus dividends*
Financials Relative change in TSR eg
* Relative (share price t+1 + dividends t to t+1) / share price t - 1
Release period of financials (by mid Sep 13)
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A previous “Phase 1” finding…
RO
E
(in
cre
as
ing -
-->
)
Change in ROE (increasing --->)
ROE vs change in ROE
High ROE and high
positive change is
associated with
outperformance
Low ROE and
reduction in ROE is
associated with
underperformance High Relative TSR
Low Relative TSR
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For “Phase 2”, we’ve introduced dividend yield and PE
(trailing) to our model of Relative TSR…
Dividend
yield
PE (trailing)
Actual relative TSR <= June 2010
Dividend
yield
PE (trailing)
Exposure of observations <= June 2010
Low PE associated with outperformance
and low PE & high Dividend Yield associated with
highest outperformance
Relative
TSR
-5% to 0%
0% to 5%
5% to
10%
10% to
15%
Increasing
Inc
rea
sin
g
Increasing
Inc
rea
sin
g
16
The contribution of dividend yield and PE to Relative TSR
was observed to change post June 2010 …
17
Relative
TSR
-5% to 0%
0% to 5%
5% to
10%
10% to
15%
Dividend
yield
PE (trailing)
Actual relative TSR > June 2010
Increasing
Dividend
yield
PE (trailing)
Exposure of observations > June 2010
Inc
rea
sin
g
Broadly similar relationships as
for period prior to Jun 2010 but
notable differences
Inc
rea
sin
g
Increasing
17
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Dividend
yield
PE (trailing)
Exposure of observations > June 2010
Inc
rea
sin
g
Increasing 0%
5%
10%
15%
20%
pre Jun 2010 post Jun 2010
Distribution of observations
Dividend yield Increasing
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There was also a notable migration to higher dividend yields
post June 2010 …
Comparing heatmaps pre and post Jun 2010 highlights the
differences …
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Dividend
yield
PE (trailing)
Actual relative TSR <= June 2010
Relative
TSR
-5% to 0%
0% to 5%
5% to
10%
10% to
15%
Dividend
yield
PE (trailing)
Actual relative TSR > June 2010
Inc
rea
sin
g
Low PE and low Dividend Yield now associated with under-
performance
Mid-level PE and above average
Dividend Yield now associated with outperformance
Increasing Increasing
Inc
rea
sin
g
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Absence of systematic bias in actual vs predicted Relative
TSR validates the overall model…
-3%
-2%
-1%
0%
1%
2%
3%
Ju
n 2
00
3
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c 2
003
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n 2
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c 2
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c 2
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c 2
006
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De
c 2
007
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n 2
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De
c 2
008
Ju
n 2
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De
c 2
009
Ju
n 2
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0
De
c 2
010
Ju
n 2
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c 2
011
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n 2
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2
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c 2
012
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n 2
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De
c 2
013
Ju
n 2
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Re
lative
TSR
Actual vs predicted Relative TSR
Actual
Predicted
Financials at Jun
2014 predict Relative
TSR at Jun 2015
Model is robust
over time -
including
predicted
future period
Date of financials
20
“Phase 1” model (excl. dividend yield and PE) successfully
groups companies into quartiles according to Relative TSR…
-15%
-10%
-5%
0%
5%
10%
15%
20%
Ju
n-0
2
Ju
n-0
3
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n-0
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n-0
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n-0
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Actual Relative TSR by predicted
quartile
1st quartile
2nd quartile
3rd quartile
4th quartile
All years 1st qtle
All years 2nd qtle
All years 3rd qtle
All years 4th qtle
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-15%
-10%
-5%
0%
5%
10%
15%
20%Ju
n-0
2
Ju
n-0
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n-1
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n-1
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Actual Relative TSR by predicted
quartile
1st quartile
2nd quartile
3rd quartile
4th quartile
All years 1st qtle
All years 2nd qtle
All years 3rd qtle
All years 4th qtle
22
“Phase 2” model (incl. dividend yield and PE) improves the
performance…
“Phase 2” model (incl. dividend yield and PE) is clearly
superior at predicting top and bottom quartile performers…
-15%
-10%
-5%
0%
5%
10%
15%
20%Ju
n-0
2
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n-0
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n-0
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n-1
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Actual Relative TSR by predicted quartile
1st quartile - Model
excl DivY/PE
1st quartile - Model
incl DivY/PE
4th quartile -
Model excl DivY/PE
4th quartile -
Model incl DivY/PE
23
The suitability of our “Phase 2” model for fund management
purposes was back-tested on a “real-time” basis…
Jun 13
Jun 13 company
financials released
by mid-Sep 13
Companies ranked into
predicted quartiles by
model – post the market
response to financials
Sep 13 Dec 13 Jan 14
Real-time calculation
of RTSR over following
4 months
30 Jun 13 balance
date
24
Back testing the “Phase 2” model on a real-time basis
shows that it has consistently outperformed the market…
Period:
pre GFC (2003
to 2007)
GFC affected
(2008 to 2009)
post GFC (2010
to 2014)
Market
outperformance
pa (predicted
top quartile)
+3.7% +6.3% +0.5%
25
…with potential for further improvement as the model is
refined
Early testing suggests
that model performance
in post GFC period can be
significantly improved
through use of “price
momentum” filters
26
In summary, our research has some important implications…
• We found a strong relationship between certain financial ratios derived from a company’s reported financials and prospective shareholder return
• These financial ratios can be combined to form a multivariate model which predicts a company’s TSR relative to the rest of the market
• A “Phase 1” model (excl. price related measures) was initially developed which was able to successfully group companies according to relative TSR
• A “Phase 2” model (incl. price related measures) was subsequently developed and found to offer superior performance, with enhanced ability to predict top and bottom quartile performers
27
…with a range of potential applications
• Our “Phase 1” model provides an objective framework for assessing management
performance, setting executive remuneration rewards and evaluating strategic
alternatives – all based on factors which are within management control and
independent of share price
• Our “Phase 2” model can be used as a stock selection tool which is based entirely
on a company’s reported financials and current share price i.e. does not rely on
forecasts.