Modelos - Miguel Pato - PGI 2014
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Transcript of Modelos - Miguel Pato - PGI 2014
In the Beginning….
….was the Word.
The Black Box
Inputs OutputsProcess
Modelling Best Practice
Introduction Historic data entry Forecasting Scenario Modelling Risk Analysis
Introduction
Introduction - What are we doing?
Problem Identification
Solution Generation
Financial Validation
Stakeholder Negotiation
Implementation
Introduction - Why use a financial model?
Facilitate diagnosis of historic performance..
...in order to identify areas for improvement and..
...evaluate the impact of new strategies...
...upon the cash requirements going forward
Introduction - Using Financial Models
ProblemIdentification
FinancialValidation
SolutionGenerationImplementation
FinancialModel
StakeholderNegotiation
Historic Data Entry
Historic Data Entry3 years historic data
spothistorictrends..
Current year
..understandwhere weare..
3 years forecast data
..and planfor the future
Problem Identification Solution Generation
Historic Data Entry
Must be consistent and credible….
… hence must reconcile to audited accounts
Audited Accounts
Trial Balance
Model - historic data
Historic Data Entry
Must be consistent with internal budgetting process...
…. hence must reconcile to management accounts.
Audited Accounts
Trial Balance
Management Accounts
Model - historic data
Historic Data Entry
Must distinguish between operating activity...
Profit & Loss Balance Sheet Cash flow
Turnover
Earnings BeforeInterest & Tax
Net OperatingAssets
Net FreeCash Flow
…and financial activity
Interest & Quasiinterest
Net Financialdebt/quasi debt
Interest & Capitalmovements
Historic Data Entry
Must allow (de)consolidation of Business Units (SBUs)
CoreBusiness
AerosolsCosmetics +
Swallowfield
Belgium(SCPSA)
BusinessTransferred
Journaladjustments
Historic Data Entry
Must identify cash flow between (SBUs)
Profit & Loss Balance Sheet Cash flow
Turnover
Earnings BeforeInterest & Tax
Net OperatingAssets
Net FreeCash Flow
Interest & Quasi
interest
Net Financialdebt/quasi debt
Interest & Capital
movements
Inter-SBUtrading/interest
Inter-SBU loans/balances
Inter SBUfunding
Historic Data Entry Must reflect our knowledge of the business!
EconomicTe
chno
PhysicalPo
litic
/lega
lSocio/culturalDemographic
Competitors
Supp
liers
Custom
ers
Public
Dis
trib
utor
s
SBUC
ompa
ny
Historic Data Entry Understanding market means understanding PLC
CumulativeRevenue
Time
New Users,NewMarkets
NewProducts
DevelopNew Markets
IncreaseUsage
WinCompetitorsCustomers
Compete inExistingMarket
Increasevolume
ImproveSales Mix
IncreasePrices
IncreaseMargins
VariableCosts
FixedCosts
ReduceCosts
ImproveProductivity
Long TermProfit
Improvement
Forecasting
Forecasting Identify and quantify corporate strategy
Stakeholderexpectations
Cos+ Plc AIL
FirmValue
Creation
Identify drivers ofperformance
Ensure measures areinternally consistent
Align the firm’s goals and decisionprocesses with corporate strategyand sources of value
External StakeholdersUnderstand how externalstakeholders perceive thevalue of the firm
What drivers?
What measures?
What measures?
Forecasting Identify performance drivers/measurement criteria
Performance Driver Measurement Criteria
Operating PerformanceProjections
Revenue growth,Margins & Earnings
Working CapitalPerformance Objectives
Debtor & Creditor DaysStock Turnover
Capital ExpenditureRequirements
% EBDIT reinvested,% opening assets
Financial ResourceRequirements
Cash Generation, Head Room &
Bank Relationship
Forecasting Encourage appropriate ownership
Operating PerformanceProjections
Revenues Margins Overheads
Sales & marketing
OperationalDept/ Heads
HR, FinanceDept. heads
Forecasting
Assumptions
Proforma
Revenue
SALES & MARKETING ASSUMPTIONS
Volume
Price
1999 2000 2001
Absolute
100
£20
£2,000
Sales = VxP
Do not become slave to an assumption
Forecasting Consider the best modelling approach …. ...and base future assumptions on historic performance
Example Plc Capital Expenditure Assumptions
1995 1996 1997 1998 1999 2000 2001 2002 2003
Capital ExpenditureLand & Buildings Capex 6 164 351 200 50 50 50 50 50Plant & Machinery Capex 777 581 704 500 408 408 408 408 408Finance Lease Capex 783 745 1,055 0 0 0 0 0 0
DepreciationLand & Buildings Dep'n - % of opening cost -3.94% -4.32% -4.28% -5.43% -5.00% -5.00% -5.00% -5.00%Plant & Machinery Dep'n - % of opening cost -8.00% -7.70% -8.18% -7.60% -6.50% -6.50% -6.50% -6.50%Finance Lease - % of opening cost -28.24% -23.96% -15.72% -7.76% -7.09% -7.09% -7.09% -7.09% -7.09%
Forecasting Model cash at bank as the balancing figure
BALANCE SHEET £ £
Net Assets 100 100
Cash 0 (6)Overdraft (30) (30)Loans (30) (30)Net Debt (60) (66)
Share Capital (20) (20)Reserves (25) (20)P&L 5 6Capital & Reserves (40) (34)
PROFIT & LOSS £
EBDIT 10Depreciation (10)
EBIT 0Interest (6)
EBT (6)Tax 0
Profit f/y (6)
Avg debt x r%
Net Assets - Capital & Reserves
Scenario Modelling
Scenario Modelling Simple forecasting doesn’t fit all business decisions
years
Revenue
SingleScenario forecastingMulti-scenario
ModellingMulti-scenarioModelling with risk
Scenario Modelling
Investment in model depends upon strategic impact
StrategicImpact
Level of uncertainty
Sensitivity Analysis
Scenario modelling
Scenarios with risk
Scenario Modelling Mapping Swallowfield’s decision process
NPV (future losses)
BENEFIT
WINDDOWN
WALKAWAY
COST BACKLASH UPSIDE
Scenario Modelling Benefit
NPV (Future cash losses) = Avg (op.cash deficit 1996-1998) x(1+g)(r-g)
= £1 million x 12.1 = £12.1 million
Scenario Modelling Cost
Swallowfield C.P. SA- £UKWind Down P/(L)
12/31/98 Break-up Additional Break up Working cap on secured Debt Termination Items Net Assets reval Obligations Provision Net Assets Wind Down asset Substitution liabilities Retained
Fixed Assets 1,566 (711) 855 (855) 0Stock 1,330 (676) 654 654Other debtors 302 (262) 40 (40) 0Debtors 1,040 (313) 727 (727) 0
Creditors (1,165) (1,165) 1,165 0Other Creditors (364) 232 (132) 132 0O/D 0 0 0 0Leases (6) (6) 6 0BBL (977) (977) 977 0Lloyds (364) (364) 364 0
Employee Termination (1,202) (1,202) 1,202 0Contract Termination (76) (76) 76 0Ernst & Young Provision (455) (455) 455 0
NET ASSETS 1,362 (2,101) 654Asset impairment (1,730)
Additional Obligations (1,278)(455)
Working Cap wind down (530)P/(L) on secured asset (129)
Debt Substitution (364)Termination payments(1,732)
P/L Effect (3,463)
Cash Effect of Wind Down (2,755)
Scenario Modelling UpsideSwallowfield - New Business M&S Hema Other Existing UK
Hema Total
£'000 £'000 £'000 £'000 £'000Benefits of Controlled Wind Down - YEAR 2 OnwardsPotential New Business (Net of Discounts) 770 1,989 1,115 500 4,374 Direct Costs % 60% 62% 51% 58%Gross Profit on Potential New Business 308 753 551 210 1,822
Probability of Business Transferred/(Lost) - Controlled Wind Down 95% 70% 40% 0% 2,570£ Probability of Business Transferred/(Lost) - Walk Away 95% 0% 0% (20%) 632£ Increased Probability of Securing Business 0% 70% 40% 20% 1,938£
Expected Gross Profit - Controlled Wind Down 293 527 220 0 1,041Expected Gross Profit - Walk Away 293 0 0 (42) 251Expected Additional Gross Profit per annum 0 527 220 42 790
Indirect Costs - Controlled Wind Down 125Indirect Costs - Walk Away 106Expected Additional Costs per annum 19
Expected EBIT per annum - Controlled Wind Down 916Expected EBIT per annum - Walk Away 145Expected Additional EBIT per annum 771
Costs To Achieve Controlled Wind DownCapital Expenditure 50 50 100Set up Production Line (Moulds) 50 50 100Incremental Costs of Controlled Wind Down 1,239
1,439
Expected Payback Period 1.8
Incremental Costs of Controlled Wind Down£'000
Controlled Wind Down 2,916 Walk Away 1,677 Difference 1,239
Risk Analysis
Risk Analysis How can we assess the risk in the funnels?
NPV (future losses)
BENEFIT
WINDDOWN
WALKAWAY
COST BACKLASH UPSIDE
Risk Analysis
cbdemo.exe
Real Options
Real Options
Are all decisionsreally
irreversible?
Real Options Early decisions
NPV (future losses)
BENEFIT
WINDDOWN
WALKAWAY
COST BACKLASH UPSIDE
Real Options
Treating Investment Opportunities as a Call Option
Real Options
Mapping Black & Scholes to an investment decision
PV (OP. ASSETS)
COST OF ASSETS
DEFERRAL PERIOD
EXERCISE PRICE
TIME TO EXPIRY
STOCK PRICE
RISK FREE RETURN
STD DEV. OF RETURNS
TIME VALUE OF MONEY
RISKINESS OF PROJECT