SlideShare a Scribd company logo
1 of 43
Improving the Consistency of Business
Performance through Portfolio Management

Paul D. Allan
PORTFOLIO DECISIONS, INC.

Nineteenth Annual Meeting of the American Real Estate Society
Monterey, California, April 2 – 5, 2003.

Copyright 2003, Portfolio Decisions,Inc.
Agenda

•
•
•
•

Portfolio Management (as applied)
Overview of Methodology
Case Study: Application of Process
Conclusions

Copyright 2003, Portfolio Decisions,Inc.
Portfolio Management
Application to tangible (relatively illiquid) assets
–
–
–
–

Oil & Gas Asset management
Pharmaceutical R&D
Chemical production
Real Estate property management

Ø Provides insights into specific decisions

Copyright 2003, Portfolio Decisions,Inc.
Portfolio Management
Application of portfolio management concepts…
•
•
•
•

Clearly describes the Goals of the company
Defines the Constraints
Describes the portfolio of Opportunities
Optimizes project selection - Max value, Min risk

Copyright 2003, Portfolio Decisions,Inc.
Portfolio Management
Application of portfolio management concepts…
•
•
•
•

Clearly describes the Goals of the company
Defines the Constraints
Describes the portfolio of Opportunities
Optimizes project selection - Max value, Min risk

…from a decision making perspective
• Focus on strategic goals
• Provides insight into specific strategic decisions

Copyright 2003, Portfolio Decisions,Inc.
Portfolio Management
Can growth targets be achieved given debt constraints?
What is the probability that earnings targets will be met?
Are property dispositions required? Which ones?
If the economy slows – how bad could it get? What can
be done to mitigate this risk?

Copyright 2003, Portfolio Decisions,Inc.
Portfolio Management
Primary Objective: Increase shareholder value
Maximize returns, Minimize risk

Improve Market Perception of the Company
Maintain
Dividend Yield
Lower Asset
Age

Strengthen
Balance Sheet
Maintain Debt
Ratios

Improve Operating
Efficiencies
Copyright 2003, Portfolio Decisions,Inc.

Consistent
Earnings
Rationalize
Assets

Grow Funds from
Operations

OBJECTIVE
FOCUS
Portfolio Management
Primary Objective: Increase shareholder value
Maximize returns, Minimize risk

Improve Market Perception of the Company
Maintain
Dividend Yield
Lower Asset
Age

Strengthen
Balance Sheet
Maintain Debt
Ratios

Improve Operating
Efficiencies
Copyright 2003, Portfolio Decisions,Inc.

Consistent
Earnings
Rationalize
Assets

Grow Funds from
Operations

STRATEGIC
FOCUS
Performance
Drivers
Portfolio Management

STRATEGIC
DIRECTION

Linear Optimization
Decision Analysis

DECISION MAKERS

Monte Carlo Simulation

Not a ‘Black-Box’ approach…

Real Options analysis
Copyright 2003, Portfolio Decisions,Inc.
Portfolio Management
Not a ‘Black-Box’ approach…
‘THE ANSWER’

Linear Optimization

Decision Analysis

DECISION MAKERS

Copyright 2003, Portfolio Decisions,Inc.
Portfolio Management
…but a ‘Glass-Box’ process
• Interactions between goals and opportunities
• Impacts of constraints
• Impacts of decisions
INSIGHTS

DECISION MAKERS
Opportunities Goals

STRATEGIC
DIRECTION
Copyright 2003, Portfolio Decisions,Inc.
Agenda

•
•
•
•

Portfolio Management (as applied)
Overview of Methodology
Case Study: Application of Process
Conclusions

Copyright 2003, Portfolio Decisions,Inc.
Overview of Methodology
Model Description
Opportunities – Goals - Constraints

Type I
Type II

EXPLORATION

Vision
Type III

Goals

Opportunities
Constraints
Copyright 2003, Portfolio Decisions,Inc.

Strategy
Overview of Methodology
Model Description:
Describe Strategic Goals:
Describe Opportunities

Specific, well defined metrics

Model existing (known) & potential (surrogates)
Simple stochastic descriptions (Optimistic, neutral, pessimistic)

Define Constraints:

rigid, flexible, self imposed

Ø Evaluate options in terms of the goals:
Linear optimization / Monte Carlo simulation of portfolio results

Copyright 2003, Portfolio Decisions,Inc.
Case Study: Application

•
•
•
•

Portfolio Management (as applied)
Overview of Methodology
Case Study: Application of process
Conclusions

Copyright 2003, Portfolio Decisions,Inc.
Case Study: Application
Case Study Overview
• Portfolio model of mid-sized apartment REIT
• Models distilled from public data (SEC 10-K data)
• Company issues, opportunity descriptions,
and risks anchored in company data
Ø Intended as example of process – not
analysis of specific company

Copyright 2003, Portfolio Decisions,Inc.
Case Study: Application
Key Issues
•
•
•
•
•
•

Dividend Yield consistency
Net Operating Income growth, consistency
Debt/Market capitalization maintenance
Operating expense management
Interest coverage
Asset age reduction

Copyright 2003, Portfolio Decisions,Inc.
Case Study: Application
Can growth targets be achieved given debt constraints?
What is the probability that earnings targets will be met?
Are property dispositions required? Which ones?
If the economy slows – how bad could it get? What can
be done to mitigate this risk?

Copyright 2003, Portfolio Decisions,Inc.
Case Study: Application
Goals
Reference Goals
Expected Value
Enforced Goals
Total Revenue ($MM)
800

Oper Expenses ($MM)

NOI ($MM)

350

500

300

450

650

250

400

600

200

350

750

Avg. Age (yrs)

FFO ($ per share)

18
16
14

3.00

12

2.00

10

20
08

20
07

20
06

20
05

20
04

Debt/Market Cap (%)

3.50

1.50

55%
50%

Copyright 2003, Portfolio Decisions,Inc.

45%

20
08

20
07

20
06

20
05

20
04

20
03

20
08

20
07

20
06

20
05

40%

20
04

20
03

20
08

20
07

20
06

20
05

2.50

20
04

20
03

20
03

20
08

20
07

20
06

20
05

20
04

20
03

20
08

20
07

20
06

20
05

20
04

20
03

700
Case Study: Application
Opportunities
Aggregated by:
•Region (NE, SE, SW)
•Market size (Small, Medium, Large)
•Population growth projections

Northeast

Southwest

Copyright 2003, Portfolio Decisions,Inc.

Southeast
Case Study: Application
Opportunities
Aggregated by:
•Region (NE, SE, SW)
•Market size (Small, Medium, Large)
•Population growth projections

130 properties aggregated into
•18 unique ‘type’ properties
•18 ‘surrogate’ properties
ØIncludes both existing and new
grass roots development

Aligned with decision structure
Northeast

Southwest

Copyright 2003, Portfolio Decisions,Inc.

Southeast
Case Study: Application
Opportunities
Models derived from public data (for the neutral case)
Net operating income forecasts, Net asset values, carrying values, Capitalization
rates, Occupancy rates, Operating costs

Uncertainties captured (for the optimistic, pessimistic scenarios)
•Rental rate growth
•Operating expense levels
•Occupancy rate growth

ØFull range of potential outcomes described

Copyright 2003, Portfolio Decisions,Inc.
Case Study: Application
Initial Feasibility testing

Total Revenue ($MM)
800

Original growth target of 6% not feasible
4% growth feasible

Oper Expenses ($MM)

NOI ($MM)

350

500

300

450

650

250

400

600

200

350

750

Avg. Age (yrs)

FFO ($ per share)

18
16
14

3.00

12

2.00

10

20
08

20
07

20
06

20
05

20
04

Debt/Market Cap (%)

3.50

1.50

55%
50%

Copyright 2003, Portfolio Decisions,Inc.

45%

20
08

20
07

20
06

20
05

20
04

20
03

20
08

20
07

20
06

20
05

40%

20
04

20
03

20
08

20
07

20
06

20
05

2.50

20
04

20
03

20
03

20
08

20
07

20
06

20
05

20
04

20
03

20
08

20
07

20
06

20
05

20
04

20
03

700
Case Study: Application
Initial Feasibility testing
Probability of staying under Debt ceiling
Less than 50%
Oper Expenses ($MM)

700
650

20
03
20
04
20
05
20
06
20
07
20
08

600

300
250
200

Avg. Age (yrs)
16
14
12

20
03
20
04
20
05
20
06
20
07
20
08

10

Copyright 2003, Portfolio Decisions,Inc.

500

1.00
0.80
0.60
0.40
0.20
0.00

3.50

1.00
0.80
0.60
0.40
0.20
0.00

3.00
2.50
2.00
1.50

1.00
0.80
0.60
0.40
0.20
0.00

55%

450
400
350

FFO ($ per share)

20
03
20
04
20
05
20
06
20
07
20
08

18

1.00
0.80
0.60
0.40
0.20
0.00

350

Debt / Market Cap (%)
50%
45%
40%
20
03
20
04
20
05
20
06
20
07
20
08

750

NOI ($MM)

20
03
20
04
20
05
20
06
20
07
20
08

1.00
0.80
0.60
0.40
0.20
0.00

20
03
20
04
20
05
20
06
20
07
20
08

Total Revenue ($MM)
800

1.00
0.80
0.60
0.40
0.20
0.00
Case Study: Application
Portfolio Optimization
Evaluated all of the
portfolios that satisfied
the goals / constraints

Efficient Frontier
Reference Strategy
1.30

Risk (Downside Volatility)

1.25
1.20
1.15
1.10
1.05
1.00
0.95
4,800

5,300

5,800

6,300

Portfolio Value ($MM)
Copyright 2003, Portfolio Decisions,Inc.

6,800
Case Study: Application
Portfolio Optimization
Evaluated all of the
portfolios that satisfied
the goals / constraints

Risk

NPV

Portfolio Composition
Copyright 2003, Portfolio Decisions,Inc.
Case Study: Application
Portfolio Optimization
Noted trends at various
levels of risks

Southwest
Southeast
Northeast

Portfolio Composition
Copyright 2003, Portfolio Decisions,Inc.
Case Study: Application
Portfolio Optimization
Compared specific
portfolios in terms of
composition and ability
to deliver goals

Portfolio ‘A’
Portfolio ‘B’

Portfolio Composition
Copyright 2003, Portfolio Decisions,Inc.
Case Study: Application
Portfolio Optimization
Compared portfolios: Probability of delivering goals
Even the ‘Best’ portfolio has an unacceptable level of risk
Oper Expenses ($MM)

700
650

20
03
20
04
20
05
20
06
20
07
20
08

600

300
250
200

Avg. Age (yrs)
16
14
12

20
03
20
04
20
05
20
06
20
07
20
08

10

Copyright 2003, Portfolio Decisions,Inc.

450
400
350

FFO ($ per share)
1.00
0.80
0.60
0.40
0.20
0.00

3.5
3
2.5
2
1.5

20
03
20
04
20
05
20
06
20
07
20
08

18

1.00
0.80
0.60
0.40
0.20
0.00

500

Debt / Market Cap (%)
1.00
0.80
0.60
0.40
0.20
0.00

0.55
0.5
0.45
0.4

20
03
20
04
20
05
20
06
20
07
20
08

750

1.00
0.80
0.60
0.40
0.20
0.00

350

20
03
20
04
20
05
20
06
20
07
20
08

1.00
0.80
0.60
0.40
0.20
0.00

800

NOI ($MM)

20
03
20
04
20
05
20
06
20
07
20
08

Total Revenue ($MM)

1.00
0.80
0.60
0.40
0.20
0.00
Case Study: Application
Portfolio Optimization
Even the ‘Best’ portfolio has an unacceptable level of risk
Total Revenue ($MM)

FFO ($ per share)

20
08

20
07

20
06

20
05

55.0%
50.0%
45.0%

20
03
20
04
20
05
20
06
20
07
20
08

20
08

20
07

20
06

20
05

40.0%
20
04

20
03

20
08

20
07

20
06

20
05

20
04

Debt / Market Cap (%)

3.50
3.00
2.50
2.00
1.50
20
04

18
16
14
12
10

Copyright 2003, Portfolio Decisions,Inc.

20
03

20
08

20
07

20
06

20
05

20
04

350

20
03

20
08

400

200
20
07

450

250

20
06

300

20
05

500

Avg. Age (yrs)

20
03

NOI ($MM)

350

20
04

20
03

800
750
700
650
600

Oper Expenses ($MM)
Case Study: Application
Portfolio Alternatives
Modify Goals and/or constraints
Not an option in this case – market expectations already set

Add opportunities
All existing (known) opportunities currently applied

Revise existing opportunities
ØRe-structure existing deals
ØProperty dispositions made available

Copyright 2003, Portfolio Decisions,Inc.
Case Study: Application
Portfolio Alternatives
With Dispositions:

Efficient Frontier
Comparison
1.30

Higher NPV

Risk (Downside Volatility)

Reduced Risk

Original

Includes Dispositions

1.25
1.20
1.15
1.10
1.05
1.00
0.95
4,800

5,300

5,800

6,300

Portfolio Value ($MM)
Copyright 2003, Portfolio Decisions,Inc.

6,800
Case Study: Application
Portfolio Alternatives
With Dispositions:
Oper Expenses ($MM)

700
650

20
03
20
04
20
05
20
06
20
07
20
08

600

300
250
200

Avg. Age (yrs)
16
14
12

20
03
20
04
20
05
20
06
20
07
20
08

10

Copyright 2003, Portfolio Decisions,Inc.

500

1.00
0.80
0.60
0.40
0.20
0.00

3.50

1.00
0.80
0.60
0.40
0.20
0.00

3.00
2.50
2.00
1.50

1.00
0.80
0.60
0.40
0.20
0.00

55%

450
400
350

FFO ($ per share)

20
03
20
04
20
05
20
06
20
07
20
08

18

1.00
0.80
0.60
0.40
0.20
0.00

350

Debt / Market Cap (%)
50%
45%
40%
20
03
20
04
20
05
20
06
20
07
20
08

750

NOI ($MM)

20
03
20
04
20
05
20
06
20
07
20
08

1.00
0.80
0.60
0.40
0.20
0.00

20
03
20
04
20
05
20
06
20
07
20
08

Total Revenue ($MM)
800

1.00
0.80
0.60
0.40
0.20
0.00
Case Study: Application
Portfolio Alternatives
Without Dispositions:
Oper Expenses ($MM)

700
650

20
03
20
04
20
05
20
06
20
07
20
08

600

300
250
200

Avg. Age (yrs)
16
14
12

20
03
20
04
20
05
20
06
20
07
20
08

10

Copyright 2003, Portfolio Decisions,Inc.

500

1.00
0.80
0.60
0.40
0.20
0.00

3.50

1.00
0.80
0.60
0.40
0.20
0.00

3.00
2.50
2.00
1.50

1.00
0.80
0.60
0.40
0.20
0.00

55%

450
400
350

FFO ($ per share)

20
03
20
04
20
05
20
06
20
07
20
08

18

1.00
0.80
0.60
0.40
0.20
0.00

350

Debt / Market Cap (%)
50%
45%
40%
20
03
20
04
20
05
20
06
20
07
20
08

750

NOI ($MM)

20
03
20
04
20
05
20
06
20
07
20
08

1.00
0.80
0.60
0.40
0.20
0.00

20
03
20
04
20
05
20
06
20
07
20
08

Total Revenue ($MM)
800

1.00
0.80
0.60
0.40
0.20
0.00
Case Study: Application
Portfolio Alternatives
Dashed: No Dispositions
Solid: Includes Dispositions

Comparison: Probability of meeting goals
Oper Expenses ($MM)

700
650

20
03
20
04
20
05
20
06
20
07
20
08

600

300
250
200

Avg. Age (yrs)
16
14
12

20
03
20
04
20
05
20
06
20
07
20
08

10

Copyright 2003, Portfolio Decisions,Inc.

450
400
350

FFO ($ per share)
1.00
0.80
0.60
0.40
0.20
0.00

3.5
3
2.5
2
1.5

20
03
20
04
20
05
20
06
20
07
20
08

18

1.00
0.80
0.60
0.40
0.20
0.00

500

Debt / Market Cap (%)
1.00
0.80
0.60
0.40
0.20
0.00

0.55
0.5
0.45
0.4

20
03
20
04
20
05
20
06
20
07
20
08

750

1.00
0.80
0.60
0.40
0.20
0.00

350

20
03
20
04
20
05
20
06
20
07
20
08

1.00
0.80
0.60
0.40
0.20
0.00

800

NOI ($MM)

20
03
20
04
20
05
20
06
20
07
20
08

Total Revenue ($MM)

1.00
0.80
0.60
0.40
0.20
0.00
Case Study: Application
Portfolio Alternatives
Range of outcomes: Includes dispositions
Total Revenue ($MM)

FFO ($ per share)

20
08

20
07

20
06

20
05

55.0%
50.0%
45.0%

20
03
20
04
20
05
20
06
20
07
20
08

20
08

20
07

20
06

20
05

40.0%
20
04

20
03

20
08

20
07

20
06

20
05

20
04

Debt / Market Cap (%)

3.50
3.00
2.50
2.00
1.50
20
04

18
16
14
12
10

Copyright 2003, Portfolio Decisions,Inc.

20
03

20
08

20
07

20
06

20
05

20
04

350

20
03

20
08

400

200
20
07

450

250

20
06

300

20
05

500

Avg. Age (yrs)

20
03

NOI ($MM)

350

20
04

20
03

800
750
700
650
600

Oper Expenses ($MM)
Case Study: Application
Portfolio Alternatives
Range of outcomes: Without dispositions
Total Revenue ($MM)

FFO ($ per share)

20
08

20
07

20
06

20
05

55.0%
50.0%
45.0%

20
03
20
04
20
05
20
06
20
07
20
08

20
08

20
07

20
06

20
05

40.0%
20
04

20
03

20
08

20
07

20
06

20
05

20
04

Debt / Market Cap (%)

3.50
3.00
2.50
2.00
1.50
20
04

18
16
14
12
10

Copyright 2003, Portfolio Decisions,Inc.

20
03

20
08

20
07

20
06

20
05

20
04

350

20
03

20
08

400

200
20
07

450

250

20
06

300

20
05

500

Avg. Age (yrs)

20
03

NOI ($MM)

350

20
04

20
03

800
750
700
650
600

Oper Expenses ($MM)
Case Study: Application
Portfolio Alternatives
Impact of slowing Economy – How bad can it get?
Total Revenue ($MM)

Oper Expenses ($MM)

NOI ($MM)

350

500

300

450

650

250

400

600

200

350

800
750

Avg. Age (yrs)

FFO ($ per share)

18
16
14

3.00

12

2.00

10

20
08

20
07

20
06

20
05

20
04

Debt/Market Cap (%)

3.50

1.50

55%
50%

Copyright 2003, Portfolio Decisions,Inc.

45%

20
08

20
07

20
06

20
05

20
04

20
03

20
08

20
07

20
06

20
05

40%

20
04

20
03

20
08

20
07

20
06

20
05

2.50

20
04

20
03

20
03

20
08

20
07

20
06

20
05

20
04

20
03

20
08

20
07

20
06

20
05

20
04

20
03

700
Case Study: Application
Portfolio Alternatives
Impact of reducing Debt Ceiling (from 50% to 45%)
Total Revenue ($MM)
800

Max NOI growth < 2%

Oper Expenses ($MM)

NOI ($MM)

350

500

300

450

650

250

400

600

200

350

750

Avg. Age (yrs)

FFO ($ per share)

18
16
14

3.00

12

2.00

10

20
08

20
07

20
06

20
05

20
04

Debt/Market Cap (%)

3.50

1.50

55%
50%

Copyright 2003, Portfolio Decisions,Inc.

45%

20
08

20
07

20
06

20
05

20
04

20
03

20
08

20
07

20
06

20
05

40%

20
04

20
03

20
08

20
07

20
06

20
05

2.50

20
04

20
03

20
03

20
08

20
07

20
06

20
05

20
04

20
03

20
08

20
07

20
06

20
05

20
04

20
03

700
Case Study: Application
Case Study Insights
• Maximum NOI growth of 4% possible
• The Debt ceiling is at risk in 2004 and 2007.
Dispositions in 2004 would improve this situation.
• Lowering the debt ceiling from 50% to 45% reduced
the NOI growth to less than 2%

Copyright 2003, Portfolio Decisions,Inc.
Case Study: Application
Case Study Insights, continued
• The existing portfolio of opportunities has sufficient
depth to utilize the proceeds from dispositions
• Three specific markets recommended for divestiture
• Acceleration of dispositions adds significant value to
the portfolio

Copyright 2003, Portfolio Decisions,Inc.
Agenda

•
•
•
•

Portfolio Management (as applied)
Overview of Methodology
Case Study: Application of Process
Conclusions

Copyright 2003, Portfolio Decisions,Inc.
Conclusions
Application of Portfolio Management
• Practical application of MPT
• Helps decision makers weigh the trade-offs
associated with specific decisions
• Stochastic information helps decision makers assess
the range of potential outcomes
• Focusing on the probability of achieving goals helps
to align the organization while setting clear
performance expectations

Copyright 2003, Portfolio Decisions,Inc.

More Related Content

Similar to Improving Consistency of Business Performance Through Portfolio Management

Choice and application of strategic management methods
Choice and application of strategic management methodsChoice and application of strategic management methods
Choice and application of strategic management methodsGints Turlajs
 
Feasibility study outline
Feasibility study outlineFeasibility study outline
Feasibility study outlineBookStoreLib
 
What is strategy by Michael Porter
What is strategy by Michael PorterWhat is strategy by Michael Porter
What is strategy by Michael Porterhitnrun10
 
Mtm8 white paper scenario analysis
Mtm8 white paper   scenario analysisMtm8 white paper   scenario analysis
Mtm8 white paper scenario analysisIntelCollab.com
 
corporate foresight - an introduction
corporate foresight - an introductioncorporate foresight - an introduction
corporate foresight - an introductionIan Miles
 
Capítulo disponibilizado na Internet pela editora..pdf
Capítulo disponibilizado na Internet pela editora..pdfCapítulo disponibilizado na Internet pela editora..pdf
Capítulo disponibilizado na Internet pela editora..pdfPrakharDwivedi30
 
Competitive intelligence-analysis-tools-for-economic-development
Competitive intelligence-analysis-tools-for-economic-developmentCompetitive intelligence-analysis-tools-for-economic-development
Competitive intelligence-analysis-tools-for-economic-developmentPraxis Gnosis
 
Lec. 3 - External Analysis_١٠٤١٥٠.pptx
Lec. 3 - External Analysis_١٠٤١٥٠.pptxLec. 3 - External Analysis_١٠٤١٥٠.pptx
Lec. 3 - External Analysis_١٠٤١٥٠.pptxAyaMofre7
 
Introduction to Operation Research
Introduction to Operation ResearchIntroduction to Operation Research
Introduction to Operation ResearchAbu Bashar
 
9707 y10 sw_6_al
9707 y10 sw_6_al9707 y10 sw_6_al
9707 y10 sw_6_alSaadia Riaz
 
GHIMA Keynote: Competing IT Priorities: An Operating Model for Data Stewardsh...
GHIMA Keynote: Competing IT Priorities: An Operating Model for Data Stewardsh...GHIMA Keynote: Competing IT Priorities: An Operating Model for Data Stewardsh...
GHIMA Keynote: Competing IT Priorities: An Operating Model for Data Stewardsh...Jaleann M McClurg MPH, CSPO, CSM, DTM
 
Juan tello advanced quant - 2011
Juan tello   advanced quant - 2011Juan tello   advanced quant - 2011
Juan tello advanced quant - 2011Ray Poynter
 
Session 1 Introduction to Operations Research.pptx
Session 1 Introduction to Operations Research.pptxSession 1 Introduction to Operations Research.pptx
Session 1 Introduction to Operations Research.pptxssuser28e8041
 
WEEK-2-Introduction-to-Operations-Research (20230928104337).pptx
WEEK-2-Introduction-to-Operations-Research (20230928104337).pptxWEEK-2-Introduction-to-Operations-Research (20230928104337).pptx
WEEK-2-Introduction-to-Operations-Research (20230928104337).pptxJessyMaeFlorentino
 
Disruptive Innovation
Disruptive InnovationDisruptive Innovation
Disruptive InnovationArik Johnson
 
Strategic management
Strategic managementStrategic management
Strategic managementOnline
 
Enterprise Analysis
Enterprise AnalysisEnterprise Analysis
Enterprise AnalysisMihika-QA
 

Similar to Improving Consistency of Business Performance Through Portfolio Management (20)

The Born Global Strategy
The Born Global StrategyThe Born Global Strategy
The Born Global Strategy
 
Choice and application of strategic management methods
Choice and application of strategic management methodsChoice and application of strategic management methods
Choice and application of strategic management methods
 
Feasibility study outline
Feasibility study outlineFeasibility study outline
Feasibility study outline
 
What is strategy by Michael Porter
What is strategy by Michael PorterWhat is strategy by Michael Porter
What is strategy by Michael Porter
 
Mtm8 white paper scenario analysis
Mtm8 white paper   scenario analysisMtm8 white paper   scenario analysis
Mtm8 white paper scenario analysis
 
corporate foresight - an introduction
corporate foresight - an introductioncorporate foresight - an introduction
corporate foresight - an introduction
 
Capítulo disponibilizado na Internet pela editora..pdf
Capítulo disponibilizado na Internet pela editora..pdfCapítulo disponibilizado na Internet pela editora..pdf
Capítulo disponibilizado na Internet pela editora..pdf
 
project management
project managementproject management
project management
 
Competitive intelligence-analysis-tools-for-economic-development
Competitive intelligence-analysis-tools-for-economic-developmentCompetitive intelligence-analysis-tools-for-economic-development
Competitive intelligence-analysis-tools-for-economic-development
 
Lec. 3 - External Analysis_١٠٤١٥٠.pptx
Lec. 3 - External Analysis_١٠٤١٥٠.pptxLec. 3 - External Analysis_١٠٤١٥٠.pptx
Lec. 3 - External Analysis_١٠٤١٥٠.pptx
 
Introduction to Operation Research
Introduction to Operation ResearchIntroduction to Operation Research
Introduction to Operation Research
 
9707 y10 sw_6_al
9707 y10 sw_6_al9707 y10 sw_6_al
9707 y10 sw_6_al
 
GHIMA Keynote: Competing IT Priorities: An Operating Model for Data Stewardsh...
GHIMA Keynote: Competing IT Priorities: An Operating Model for Data Stewardsh...GHIMA Keynote: Competing IT Priorities: An Operating Model for Data Stewardsh...
GHIMA Keynote: Competing IT Priorities: An Operating Model for Data Stewardsh...
 
Case study
Case studyCase study
Case study
 
Juan tello advanced quant - 2011
Juan tello   advanced quant - 2011Juan tello   advanced quant - 2011
Juan tello advanced quant - 2011
 
Session 1 Introduction to Operations Research.pptx
Session 1 Introduction to Operations Research.pptxSession 1 Introduction to Operations Research.pptx
Session 1 Introduction to Operations Research.pptx
 
WEEK-2-Introduction-to-Operations-Research (20230928104337).pptx
WEEK-2-Introduction-to-Operations-Research (20230928104337).pptxWEEK-2-Introduction-to-Operations-Research (20230928104337).pptx
WEEK-2-Introduction-to-Operations-Research (20230928104337).pptx
 
Disruptive Innovation
Disruptive InnovationDisruptive Innovation
Disruptive Innovation
 
Strategic management
Strategic managementStrategic management
Strategic management
 
Enterprise Analysis
Enterprise AnalysisEnterprise Analysis
Enterprise Analysis
 

More from Portfolio Decisions

Delivering Predictable Results in Uncertain Times
Delivering Predictable Results in Uncertain TimesDelivering Predictable Results in Uncertain Times
Delivering Predictable Results in Uncertain TimesPortfolio Decisions
 
Leveraging the Option Value of Unconventional Resource Projects
Leveraging the Option Value of Unconventional Resource ProjectsLeveraging the Option Value of Unconventional Resource Projects
Leveraging the Option Value of Unconventional Resource ProjectsPortfolio Decisions
 
Stochastic Analysis of Resource Plays: Maximizing Portfolio Value and Mitiga...
Stochastic Analysis of Resource Plays:  Maximizing Portfolio Value and Mitiga...Stochastic Analysis of Resource Plays:  Maximizing Portfolio Value and Mitiga...
Stochastic Analysis of Resource Plays: Maximizing Portfolio Value and Mitiga...Portfolio Decisions
 
Monitoring Your Performance from a Portfolio Perspective
Monitoring Your Performance from a Portfolio PerspectiveMonitoring Your Performance from a Portfolio Perspective
Monitoring Your Performance from a Portfolio PerspectivePortfolio Decisions
 
Disaster Insurance Using Portfolio Management Techniques
Disaster Insurance Using Portfolio Management TechniquesDisaster Insurance Using Portfolio Management Techniques
Disaster Insurance Using Portfolio Management TechniquesPortfolio Decisions
 
Consistent Performance: Reducing the Impacts of Price Uncertainty Through Por...
Consistent Performance: Reducing the Impacts of Price Uncertainty Through Por...Consistent Performance: Reducing the Impacts of Price Uncertainty Through Por...
Consistent Performance: Reducing the Impacts of Price Uncertainty Through Por...Portfolio Decisions
 
Portfolio Management Using Questionable Quality Data
Portfolio Management Using Questionable Quality DataPortfolio Management Using Questionable Quality Data
Portfolio Management Using Questionable Quality DataPortfolio Decisions
 
Delivering Predictable Results in an Unpredictable Business Environment
Delivering Predictable Results in an Unpredictable Business EnvironmentDelivering Predictable Results in an Unpredictable Business Environment
Delivering Predictable Results in an Unpredictable Business EnvironmentPortfolio Decisions
 

More from Portfolio Decisions (8)

Delivering Predictable Results in Uncertain Times
Delivering Predictable Results in Uncertain TimesDelivering Predictable Results in Uncertain Times
Delivering Predictable Results in Uncertain Times
 
Leveraging the Option Value of Unconventional Resource Projects
Leveraging the Option Value of Unconventional Resource ProjectsLeveraging the Option Value of Unconventional Resource Projects
Leveraging the Option Value of Unconventional Resource Projects
 
Stochastic Analysis of Resource Plays: Maximizing Portfolio Value and Mitiga...
Stochastic Analysis of Resource Plays:  Maximizing Portfolio Value and Mitiga...Stochastic Analysis of Resource Plays:  Maximizing Portfolio Value and Mitiga...
Stochastic Analysis of Resource Plays: Maximizing Portfolio Value and Mitiga...
 
Monitoring Your Performance from a Portfolio Perspective
Monitoring Your Performance from a Portfolio PerspectiveMonitoring Your Performance from a Portfolio Perspective
Monitoring Your Performance from a Portfolio Perspective
 
Disaster Insurance Using Portfolio Management Techniques
Disaster Insurance Using Portfolio Management TechniquesDisaster Insurance Using Portfolio Management Techniques
Disaster Insurance Using Portfolio Management Techniques
 
Consistent Performance: Reducing the Impacts of Price Uncertainty Through Por...
Consistent Performance: Reducing the Impacts of Price Uncertainty Through Por...Consistent Performance: Reducing the Impacts of Price Uncertainty Through Por...
Consistent Performance: Reducing the Impacts of Price Uncertainty Through Por...
 
Portfolio Management Using Questionable Quality Data
Portfolio Management Using Questionable Quality DataPortfolio Management Using Questionable Quality Data
Portfolio Management Using Questionable Quality Data
 
Delivering Predictable Results in an Unpredictable Business Environment
Delivering Predictable Results in an Unpredictable Business EnvironmentDelivering Predictable Results in an Unpredictable Business Environment
Delivering Predictable Results in an Unpredictable Business Environment
 

Recently uploaded

Grateful 7 speech thanking everyone that has helped.pdf
Grateful 7 speech thanking everyone that has helped.pdfGrateful 7 speech thanking everyone that has helped.pdf
Grateful 7 speech thanking everyone that has helped.pdfPaul Menig
 
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service DewasVip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewasmakika9823
 
Socio-economic-Impact-of-business-consumers-suppliers-and.pptx
Socio-economic-Impact-of-business-consumers-suppliers-and.pptxSocio-economic-Impact-of-business-consumers-suppliers-and.pptx
Socio-economic-Impact-of-business-consumers-suppliers-and.pptxtrishalcan8
 
Cash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call GirlsCash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call GirlsApsara Of India
 
Monthly Social Media Update April 2024 pptx.pptx
Monthly Social Media Update April 2024 pptx.pptxMonthly Social Media Update April 2024 pptx.pptx
Monthly Social Media Update April 2024 pptx.pptxAndy Lambert
 
GD Birla and his contribution in management
GD Birla and his contribution in managementGD Birla and his contribution in management
GD Birla and his contribution in managementchhavia330
 
Monte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMMonte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMRavindra Nath Shukla
 
Catalogue ONG NUOC PPR DE NHAT .pdf
Catalogue ONG NUOC PPR DE NHAT      .pdfCatalogue ONG NUOC PPR DE NHAT      .pdf
Catalogue ONG NUOC PPR DE NHAT .pdfOrient Homes
 
Creating Low-Code Loan Applications using the Trisotech Mortgage Feature Set
Creating Low-Code Loan Applications using the Trisotech Mortgage Feature SetCreating Low-Code Loan Applications using the Trisotech Mortgage Feature Set
Creating Low-Code Loan Applications using the Trisotech Mortgage Feature SetDenis Gagné
 
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdfRenandantas16
 
Sales & Marketing Alignment: How to Synergize for Success
Sales & Marketing Alignment: How to Synergize for SuccessSales & Marketing Alignment: How to Synergize for Success
Sales & Marketing Alignment: How to Synergize for SuccessAggregage
 
Ensure the security of your HCL environment by applying the Zero Trust princi...
Ensure the security of your HCL environment by applying the Zero Trust princi...Ensure the security of your HCL environment by applying the Zero Trust princi...
Ensure the security of your HCL environment by applying the Zero Trust princi...Roland Driesen
 
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyThe Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyEthan lee
 
Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Neil Kimberley
 
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779Delhi Call girls
 
Insurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usageInsurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usageMatteo Carbone
 
M.C Lodges -- Guest House in Jhang.
M.C Lodges --  Guest House in Jhang.M.C Lodges --  Guest House in Jhang.
M.C Lodges -- Guest House in Jhang.Aaiza Hassan
 
VIP Kolkata Call Girl Howrah 👉 8250192130 Available With Room
VIP Kolkata Call Girl Howrah 👉 8250192130  Available With RoomVIP Kolkata Call Girl Howrah 👉 8250192130  Available With Room
VIP Kolkata Call Girl Howrah 👉 8250192130 Available With Roomdivyansh0kumar0
 

Recently uploaded (20)

Grateful 7 speech thanking everyone that has helped.pdf
Grateful 7 speech thanking everyone that has helped.pdfGrateful 7 speech thanking everyone that has helped.pdf
Grateful 7 speech thanking everyone that has helped.pdf
 
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service DewasVip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
 
Socio-economic-Impact-of-business-consumers-suppliers-and.pptx
Socio-economic-Impact-of-business-consumers-suppliers-and.pptxSocio-economic-Impact-of-business-consumers-suppliers-and.pptx
Socio-economic-Impact-of-business-consumers-suppliers-and.pptx
 
Cash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call GirlsCash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call Girls
 
Monthly Social Media Update April 2024 pptx.pptx
Monthly Social Media Update April 2024 pptx.pptxMonthly Social Media Update April 2024 pptx.pptx
Monthly Social Media Update April 2024 pptx.pptx
 
Nepali Escort Girl Kakori \ 9548273370 Indian Call Girls Service Lucknow ₹,9517
Nepali Escort Girl Kakori \ 9548273370 Indian Call Girls Service Lucknow ₹,9517Nepali Escort Girl Kakori \ 9548273370 Indian Call Girls Service Lucknow ₹,9517
Nepali Escort Girl Kakori \ 9548273370 Indian Call Girls Service Lucknow ₹,9517
 
GD Birla and his contribution in management
GD Birla and his contribution in managementGD Birla and his contribution in management
GD Birla and his contribution in management
 
Monte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMMonte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSM
 
Catalogue ONG NUOC PPR DE NHAT .pdf
Catalogue ONG NUOC PPR DE NHAT      .pdfCatalogue ONG NUOC PPR DE NHAT      .pdf
Catalogue ONG NUOC PPR DE NHAT .pdf
 
Creating Low-Code Loan Applications using the Trisotech Mortgage Feature Set
Creating Low-Code Loan Applications using the Trisotech Mortgage Feature SetCreating Low-Code Loan Applications using the Trisotech Mortgage Feature Set
Creating Low-Code Loan Applications using the Trisotech Mortgage Feature Set
 
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
 
Best Practices for Implementing an External Recruiting Partnership
Best Practices for Implementing an External Recruiting PartnershipBest Practices for Implementing an External Recruiting Partnership
Best Practices for Implementing an External Recruiting Partnership
 
Sales & Marketing Alignment: How to Synergize for Success
Sales & Marketing Alignment: How to Synergize for SuccessSales & Marketing Alignment: How to Synergize for Success
Sales & Marketing Alignment: How to Synergize for Success
 
Ensure the security of your HCL environment by applying the Zero Trust princi...
Ensure the security of your HCL environment by applying the Zero Trust princi...Ensure the security of your HCL environment by applying the Zero Trust princi...
Ensure the security of your HCL environment by applying the Zero Trust princi...
 
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyThe Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
 
Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023
 
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
 
Insurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usageInsurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usage
 
M.C Lodges -- Guest House in Jhang.
M.C Lodges --  Guest House in Jhang.M.C Lodges --  Guest House in Jhang.
M.C Lodges -- Guest House in Jhang.
 
VIP Kolkata Call Girl Howrah 👉 8250192130 Available With Room
VIP Kolkata Call Girl Howrah 👉 8250192130  Available With RoomVIP Kolkata Call Girl Howrah 👉 8250192130  Available With Room
VIP Kolkata Call Girl Howrah 👉 8250192130 Available With Room
 

Improving Consistency of Business Performance Through Portfolio Management

  • 1. Improving the Consistency of Business Performance through Portfolio Management Paul D. Allan PORTFOLIO DECISIONS, INC. Nineteenth Annual Meeting of the American Real Estate Society Monterey, California, April 2 – 5, 2003. Copyright 2003, Portfolio Decisions,Inc.
  • 2. Agenda • • • • Portfolio Management (as applied) Overview of Methodology Case Study: Application of Process Conclusions Copyright 2003, Portfolio Decisions,Inc.
  • 3. Portfolio Management Application to tangible (relatively illiquid) assets – – – – Oil & Gas Asset management Pharmaceutical R&D Chemical production Real Estate property management Ø Provides insights into specific decisions Copyright 2003, Portfolio Decisions,Inc.
  • 4. Portfolio Management Application of portfolio management concepts… • • • • Clearly describes the Goals of the company Defines the Constraints Describes the portfolio of Opportunities Optimizes project selection - Max value, Min risk Copyright 2003, Portfolio Decisions,Inc.
  • 5. Portfolio Management Application of portfolio management concepts… • • • • Clearly describes the Goals of the company Defines the Constraints Describes the portfolio of Opportunities Optimizes project selection - Max value, Min risk …from a decision making perspective • Focus on strategic goals • Provides insight into specific strategic decisions Copyright 2003, Portfolio Decisions,Inc.
  • 6. Portfolio Management Can growth targets be achieved given debt constraints? What is the probability that earnings targets will be met? Are property dispositions required? Which ones? If the economy slows – how bad could it get? What can be done to mitigate this risk? Copyright 2003, Portfolio Decisions,Inc.
  • 7. Portfolio Management Primary Objective: Increase shareholder value Maximize returns, Minimize risk Improve Market Perception of the Company Maintain Dividend Yield Lower Asset Age Strengthen Balance Sheet Maintain Debt Ratios Improve Operating Efficiencies Copyright 2003, Portfolio Decisions,Inc. Consistent Earnings Rationalize Assets Grow Funds from Operations OBJECTIVE FOCUS
  • 8. Portfolio Management Primary Objective: Increase shareholder value Maximize returns, Minimize risk Improve Market Perception of the Company Maintain Dividend Yield Lower Asset Age Strengthen Balance Sheet Maintain Debt Ratios Improve Operating Efficiencies Copyright 2003, Portfolio Decisions,Inc. Consistent Earnings Rationalize Assets Grow Funds from Operations STRATEGIC FOCUS Performance Drivers
  • 9. Portfolio Management STRATEGIC DIRECTION Linear Optimization Decision Analysis DECISION MAKERS Monte Carlo Simulation Not a ‘Black-Box’ approach… Real Options analysis Copyright 2003, Portfolio Decisions,Inc.
  • 10. Portfolio Management Not a ‘Black-Box’ approach… ‘THE ANSWER’ Linear Optimization Decision Analysis DECISION MAKERS Copyright 2003, Portfolio Decisions,Inc.
  • 11. Portfolio Management …but a ‘Glass-Box’ process • Interactions between goals and opportunities • Impacts of constraints • Impacts of decisions INSIGHTS DECISION MAKERS Opportunities Goals STRATEGIC DIRECTION Copyright 2003, Portfolio Decisions,Inc.
  • 12. Agenda • • • • Portfolio Management (as applied) Overview of Methodology Case Study: Application of Process Conclusions Copyright 2003, Portfolio Decisions,Inc.
  • 13. Overview of Methodology Model Description Opportunities – Goals - Constraints Type I Type II EXPLORATION Vision Type III Goals Opportunities Constraints Copyright 2003, Portfolio Decisions,Inc. Strategy
  • 14. Overview of Methodology Model Description: Describe Strategic Goals: Describe Opportunities Specific, well defined metrics Model existing (known) & potential (surrogates) Simple stochastic descriptions (Optimistic, neutral, pessimistic) Define Constraints: rigid, flexible, self imposed Ø Evaluate options in terms of the goals: Linear optimization / Monte Carlo simulation of portfolio results Copyright 2003, Portfolio Decisions,Inc.
  • 15. Case Study: Application • • • • Portfolio Management (as applied) Overview of Methodology Case Study: Application of process Conclusions Copyright 2003, Portfolio Decisions,Inc.
  • 16. Case Study: Application Case Study Overview • Portfolio model of mid-sized apartment REIT • Models distilled from public data (SEC 10-K data) • Company issues, opportunity descriptions, and risks anchored in company data Ø Intended as example of process – not analysis of specific company Copyright 2003, Portfolio Decisions,Inc.
  • 17. Case Study: Application Key Issues • • • • • • Dividend Yield consistency Net Operating Income growth, consistency Debt/Market capitalization maintenance Operating expense management Interest coverage Asset age reduction Copyright 2003, Portfolio Decisions,Inc.
  • 18. Case Study: Application Can growth targets be achieved given debt constraints? What is the probability that earnings targets will be met? Are property dispositions required? Which ones? If the economy slows – how bad could it get? What can be done to mitigate this risk? Copyright 2003, Portfolio Decisions,Inc.
  • 19. Case Study: Application Goals Reference Goals Expected Value Enforced Goals Total Revenue ($MM) 800 Oper Expenses ($MM) NOI ($MM) 350 500 300 450 650 250 400 600 200 350 750 Avg. Age (yrs) FFO ($ per share) 18 16 14 3.00 12 2.00 10 20 08 20 07 20 06 20 05 20 04 Debt/Market Cap (%) 3.50 1.50 55% 50% Copyright 2003, Portfolio Decisions,Inc. 45% 20 08 20 07 20 06 20 05 20 04 20 03 20 08 20 07 20 06 20 05 40% 20 04 20 03 20 08 20 07 20 06 20 05 2.50 20 04 20 03 20 03 20 08 20 07 20 06 20 05 20 04 20 03 20 08 20 07 20 06 20 05 20 04 20 03 700
  • 20. Case Study: Application Opportunities Aggregated by: •Region (NE, SE, SW) •Market size (Small, Medium, Large) •Population growth projections Northeast Southwest Copyright 2003, Portfolio Decisions,Inc. Southeast
  • 21. Case Study: Application Opportunities Aggregated by: •Region (NE, SE, SW) •Market size (Small, Medium, Large) •Population growth projections 130 properties aggregated into •18 unique ‘type’ properties •18 ‘surrogate’ properties ØIncludes both existing and new grass roots development Aligned with decision structure Northeast Southwest Copyright 2003, Portfolio Decisions,Inc. Southeast
  • 22. Case Study: Application Opportunities Models derived from public data (for the neutral case) Net operating income forecasts, Net asset values, carrying values, Capitalization rates, Occupancy rates, Operating costs Uncertainties captured (for the optimistic, pessimistic scenarios) •Rental rate growth •Operating expense levels •Occupancy rate growth ØFull range of potential outcomes described Copyright 2003, Portfolio Decisions,Inc.
  • 23. Case Study: Application Initial Feasibility testing Total Revenue ($MM) 800 Original growth target of 6% not feasible 4% growth feasible Oper Expenses ($MM) NOI ($MM) 350 500 300 450 650 250 400 600 200 350 750 Avg. Age (yrs) FFO ($ per share) 18 16 14 3.00 12 2.00 10 20 08 20 07 20 06 20 05 20 04 Debt/Market Cap (%) 3.50 1.50 55% 50% Copyright 2003, Portfolio Decisions,Inc. 45% 20 08 20 07 20 06 20 05 20 04 20 03 20 08 20 07 20 06 20 05 40% 20 04 20 03 20 08 20 07 20 06 20 05 2.50 20 04 20 03 20 03 20 08 20 07 20 06 20 05 20 04 20 03 20 08 20 07 20 06 20 05 20 04 20 03 700
  • 24. Case Study: Application Initial Feasibility testing Probability of staying under Debt ceiling Less than 50% Oper Expenses ($MM) 700 650 20 03 20 04 20 05 20 06 20 07 20 08 600 300 250 200 Avg. Age (yrs) 16 14 12 20 03 20 04 20 05 20 06 20 07 20 08 10 Copyright 2003, Portfolio Decisions,Inc. 500 1.00 0.80 0.60 0.40 0.20 0.00 3.50 1.00 0.80 0.60 0.40 0.20 0.00 3.00 2.50 2.00 1.50 1.00 0.80 0.60 0.40 0.20 0.00 55% 450 400 350 FFO ($ per share) 20 03 20 04 20 05 20 06 20 07 20 08 18 1.00 0.80 0.60 0.40 0.20 0.00 350 Debt / Market Cap (%) 50% 45% 40% 20 03 20 04 20 05 20 06 20 07 20 08 750 NOI ($MM) 20 03 20 04 20 05 20 06 20 07 20 08 1.00 0.80 0.60 0.40 0.20 0.00 20 03 20 04 20 05 20 06 20 07 20 08 Total Revenue ($MM) 800 1.00 0.80 0.60 0.40 0.20 0.00
  • 25. Case Study: Application Portfolio Optimization Evaluated all of the portfolios that satisfied the goals / constraints Efficient Frontier Reference Strategy 1.30 Risk (Downside Volatility) 1.25 1.20 1.15 1.10 1.05 1.00 0.95 4,800 5,300 5,800 6,300 Portfolio Value ($MM) Copyright 2003, Portfolio Decisions,Inc. 6,800
  • 26. Case Study: Application Portfolio Optimization Evaluated all of the portfolios that satisfied the goals / constraints Risk NPV Portfolio Composition Copyright 2003, Portfolio Decisions,Inc.
  • 27. Case Study: Application Portfolio Optimization Noted trends at various levels of risks Southwest Southeast Northeast Portfolio Composition Copyright 2003, Portfolio Decisions,Inc.
  • 28. Case Study: Application Portfolio Optimization Compared specific portfolios in terms of composition and ability to deliver goals Portfolio ‘A’ Portfolio ‘B’ Portfolio Composition Copyright 2003, Portfolio Decisions,Inc.
  • 29. Case Study: Application Portfolio Optimization Compared portfolios: Probability of delivering goals Even the ‘Best’ portfolio has an unacceptable level of risk Oper Expenses ($MM) 700 650 20 03 20 04 20 05 20 06 20 07 20 08 600 300 250 200 Avg. Age (yrs) 16 14 12 20 03 20 04 20 05 20 06 20 07 20 08 10 Copyright 2003, Portfolio Decisions,Inc. 450 400 350 FFO ($ per share) 1.00 0.80 0.60 0.40 0.20 0.00 3.5 3 2.5 2 1.5 20 03 20 04 20 05 20 06 20 07 20 08 18 1.00 0.80 0.60 0.40 0.20 0.00 500 Debt / Market Cap (%) 1.00 0.80 0.60 0.40 0.20 0.00 0.55 0.5 0.45 0.4 20 03 20 04 20 05 20 06 20 07 20 08 750 1.00 0.80 0.60 0.40 0.20 0.00 350 20 03 20 04 20 05 20 06 20 07 20 08 1.00 0.80 0.60 0.40 0.20 0.00 800 NOI ($MM) 20 03 20 04 20 05 20 06 20 07 20 08 Total Revenue ($MM) 1.00 0.80 0.60 0.40 0.20 0.00
  • 30. Case Study: Application Portfolio Optimization Even the ‘Best’ portfolio has an unacceptable level of risk Total Revenue ($MM) FFO ($ per share) 20 08 20 07 20 06 20 05 55.0% 50.0% 45.0% 20 03 20 04 20 05 20 06 20 07 20 08 20 08 20 07 20 06 20 05 40.0% 20 04 20 03 20 08 20 07 20 06 20 05 20 04 Debt / Market Cap (%) 3.50 3.00 2.50 2.00 1.50 20 04 18 16 14 12 10 Copyright 2003, Portfolio Decisions,Inc. 20 03 20 08 20 07 20 06 20 05 20 04 350 20 03 20 08 400 200 20 07 450 250 20 06 300 20 05 500 Avg. Age (yrs) 20 03 NOI ($MM) 350 20 04 20 03 800 750 700 650 600 Oper Expenses ($MM)
  • 31. Case Study: Application Portfolio Alternatives Modify Goals and/or constraints Not an option in this case – market expectations already set Add opportunities All existing (known) opportunities currently applied Revise existing opportunities ØRe-structure existing deals ØProperty dispositions made available Copyright 2003, Portfolio Decisions,Inc.
  • 32. Case Study: Application Portfolio Alternatives With Dispositions: Efficient Frontier Comparison 1.30 Higher NPV Risk (Downside Volatility) Reduced Risk Original Includes Dispositions 1.25 1.20 1.15 1.10 1.05 1.00 0.95 4,800 5,300 5,800 6,300 Portfolio Value ($MM) Copyright 2003, Portfolio Decisions,Inc. 6,800
  • 33. Case Study: Application Portfolio Alternatives With Dispositions: Oper Expenses ($MM) 700 650 20 03 20 04 20 05 20 06 20 07 20 08 600 300 250 200 Avg. Age (yrs) 16 14 12 20 03 20 04 20 05 20 06 20 07 20 08 10 Copyright 2003, Portfolio Decisions,Inc. 500 1.00 0.80 0.60 0.40 0.20 0.00 3.50 1.00 0.80 0.60 0.40 0.20 0.00 3.00 2.50 2.00 1.50 1.00 0.80 0.60 0.40 0.20 0.00 55% 450 400 350 FFO ($ per share) 20 03 20 04 20 05 20 06 20 07 20 08 18 1.00 0.80 0.60 0.40 0.20 0.00 350 Debt / Market Cap (%) 50% 45% 40% 20 03 20 04 20 05 20 06 20 07 20 08 750 NOI ($MM) 20 03 20 04 20 05 20 06 20 07 20 08 1.00 0.80 0.60 0.40 0.20 0.00 20 03 20 04 20 05 20 06 20 07 20 08 Total Revenue ($MM) 800 1.00 0.80 0.60 0.40 0.20 0.00
  • 34. Case Study: Application Portfolio Alternatives Without Dispositions: Oper Expenses ($MM) 700 650 20 03 20 04 20 05 20 06 20 07 20 08 600 300 250 200 Avg. Age (yrs) 16 14 12 20 03 20 04 20 05 20 06 20 07 20 08 10 Copyright 2003, Portfolio Decisions,Inc. 500 1.00 0.80 0.60 0.40 0.20 0.00 3.50 1.00 0.80 0.60 0.40 0.20 0.00 3.00 2.50 2.00 1.50 1.00 0.80 0.60 0.40 0.20 0.00 55% 450 400 350 FFO ($ per share) 20 03 20 04 20 05 20 06 20 07 20 08 18 1.00 0.80 0.60 0.40 0.20 0.00 350 Debt / Market Cap (%) 50% 45% 40% 20 03 20 04 20 05 20 06 20 07 20 08 750 NOI ($MM) 20 03 20 04 20 05 20 06 20 07 20 08 1.00 0.80 0.60 0.40 0.20 0.00 20 03 20 04 20 05 20 06 20 07 20 08 Total Revenue ($MM) 800 1.00 0.80 0.60 0.40 0.20 0.00
  • 35. Case Study: Application Portfolio Alternatives Dashed: No Dispositions Solid: Includes Dispositions Comparison: Probability of meeting goals Oper Expenses ($MM) 700 650 20 03 20 04 20 05 20 06 20 07 20 08 600 300 250 200 Avg. Age (yrs) 16 14 12 20 03 20 04 20 05 20 06 20 07 20 08 10 Copyright 2003, Portfolio Decisions,Inc. 450 400 350 FFO ($ per share) 1.00 0.80 0.60 0.40 0.20 0.00 3.5 3 2.5 2 1.5 20 03 20 04 20 05 20 06 20 07 20 08 18 1.00 0.80 0.60 0.40 0.20 0.00 500 Debt / Market Cap (%) 1.00 0.80 0.60 0.40 0.20 0.00 0.55 0.5 0.45 0.4 20 03 20 04 20 05 20 06 20 07 20 08 750 1.00 0.80 0.60 0.40 0.20 0.00 350 20 03 20 04 20 05 20 06 20 07 20 08 1.00 0.80 0.60 0.40 0.20 0.00 800 NOI ($MM) 20 03 20 04 20 05 20 06 20 07 20 08 Total Revenue ($MM) 1.00 0.80 0.60 0.40 0.20 0.00
  • 36. Case Study: Application Portfolio Alternatives Range of outcomes: Includes dispositions Total Revenue ($MM) FFO ($ per share) 20 08 20 07 20 06 20 05 55.0% 50.0% 45.0% 20 03 20 04 20 05 20 06 20 07 20 08 20 08 20 07 20 06 20 05 40.0% 20 04 20 03 20 08 20 07 20 06 20 05 20 04 Debt / Market Cap (%) 3.50 3.00 2.50 2.00 1.50 20 04 18 16 14 12 10 Copyright 2003, Portfolio Decisions,Inc. 20 03 20 08 20 07 20 06 20 05 20 04 350 20 03 20 08 400 200 20 07 450 250 20 06 300 20 05 500 Avg. Age (yrs) 20 03 NOI ($MM) 350 20 04 20 03 800 750 700 650 600 Oper Expenses ($MM)
  • 37. Case Study: Application Portfolio Alternatives Range of outcomes: Without dispositions Total Revenue ($MM) FFO ($ per share) 20 08 20 07 20 06 20 05 55.0% 50.0% 45.0% 20 03 20 04 20 05 20 06 20 07 20 08 20 08 20 07 20 06 20 05 40.0% 20 04 20 03 20 08 20 07 20 06 20 05 20 04 Debt / Market Cap (%) 3.50 3.00 2.50 2.00 1.50 20 04 18 16 14 12 10 Copyright 2003, Portfolio Decisions,Inc. 20 03 20 08 20 07 20 06 20 05 20 04 350 20 03 20 08 400 200 20 07 450 250 20 06 300 20 05 500 Avg. Age (yrs) 20 03 NOI ($MM) 350 20 04 20 03 800 750 700 650 600 Oper Expenses ($MM)
  • 38. Case Study: Application Portfolio Alternatives Impact of slowing Economy – How bad can it get? Total Revenue ($MM) Oper Expenses ($MM) NOI ($MM) 350 500 300 450 650 250 400 600 200 350 800 750 Avg. Age (yrs) FFO ($ per share) 18 16 14 3.00 12 2.00 10 20 08 20 07 20 06 20 05 20 04 Debt/Market Cap (%) 3.50 1.50 55% 50% Copyright 2003, Portfolio Decisions,Inc. 45% 20 08 20 07 20 06 20 05 20 04 20 03 20 08 20 07 20 06 20 05 40% 20 04 20 03 20 08 20 07 20 06 20 05 2.50 20 04 20 03 20 03 20 08 20 07 20 06 20 05 20 04 20 03 20 08 20 07 20 06 20 05 20 04 20 03 700
  • 39. Case Study: Application Portfolio Alternatives Impact of reducing Debt Ceiling (from 50% to 45%) Total Revenue ($MM) 800 Max NOI growth < 2% Oper Expenses ($MM) NOI ($MM) 350 500 300 450 650 250 400 600 200 350 750 Avg. Age (yrs) FFO ($ per share) 18 16 14 3.00 12 2.00 10 20 08 20 07 20 06 20 05 20 04 Debt/Market Cap (%) 3.50 1.50 55% 50% Copyright 2003, Portfolio Decisions,Inc. 45% 20 08 20 07 20 06 20 05 20 04 20 03 20 08 20 07 20 06 20 05 40% 20 04 20 03 20 08 20 07 20 06 20 05 2.50 20 04 20 03 20 03 20 08 20 07 20 06 20 05 20 04 20 03 20 08 20 07 20 06 20 05 20 04 20 03 700
  • 40. Case Study: Application Case Study Insights • Maximum NOI growth of 4% possible • The Debt ceiling is at risk in 2004 and 2007. Dispositions in 2004 would improve this situation. • Lowering the debt ceiling from 50% to 45% reduced the NOI growth to less than 2% Copyright 2003, Portfolio Decisions,Inc.
  • 41. Case Study: Application Case Study Insights, continued • The existing portfolio of opportunities has sufficient depth to utilize the proceeds from dispositions • Three specific markets recommended for divestiture • Acceleration of dispositions adds significant value to the portfolio Copyright 2003, Portfolio Decisions,Inc.
  • 42. Agenda • • • • Portfolio Management (as applied) Overview of Methodology Case Study: Application of Process Conclusions Copyright 2003, Portfolio Decisions,Inc.
  • 43. Conclusions Application of Portfolio Management • Practical application of MPT • Helps decision makers weigh the trade-offs associated with specific decisions • Stochastic information helps decision makers assess the range of potential outcomes • Focusing on the probability of achieving goals helps to align the organization while setting clear performance expectations Copyright 2003, Portfolio Decisions,Inc.