aviation economics & finance professor david gillen ...aviation.itu.edu.tr › img › aviation ›...

41
Aviation Economics & Finance Professor David Gillen (University of British Columbia )& Professor Tuba Toru - Delibasi ( Bahcesehir University) Module 3: 23 November 2015 Istanbul Technical University Air Transportation Management M.Sc. Program

Upload: others

Post on 06-Feb-2021

2 views

Category:

Documents


0 download

TRANSCRIPT

  • Aviation Economics & Finance

    Professor David Gillen (University of British Columbia )&Professor Tuba Toru-Delibasi (Bahcesehir University)

    Module 3: 23 November 2015Istanbul Technical UniversityAir Transportation Management M.Sc. Program

  • OUTLINE

    • Module 3 (2 hours) – Aspects of Airline Finance

    – Airline Cost Classification

    – Assessing performance

    – Investment appraisal and financial evaluation

    • Risk management (foreign currency / fuel price / etc.)

    November 23-28 3

  • AIRLINE COST STRUCTURE

    November 23-28 4

  • UNDERSTANDING COSTS

    • Accounting profit: Total Revenue-Total explicit cost

    – Not just difference in cash inflows and cash outflows out but value

    of assets generated by business activity less asset value lost due to

    business activity

    • Economic Profit: = Total Revenue – Total Expenses (explicit

    expenses + opportunity cost)

    – Time value of money

    • Cost categories versus cost behaviour

    – Accounting assigns cost based on a view to cost responsibility-

    where the cause of a cost originates

    – Cost causality based on underlying cost behaviour with respect to

    some variable(s)

    November 23-28 5

  • WAYS OF THINKING ABOUT COSTS

    Broad categories

    • Startup costs

    • Production costs

    • Fixed costs

    • Variable costs

    • Marginal costs

    Detail of Explicit Costs

    • Selling and general administrative

    expenses

    • Fuel costs

    • Flight & cabin crew costs

    • Direct maintenance expenses

    • Landing fees and capital equipment

    charges

    • Distribution costs (sales & promotion)

    • Station costs

    • Ground expenses

    • Passenger services

    • Interest expenses

    • Taxes

    November 23-28 6

  • COSTS – THE DETAILS

    • Startup costs

    – Costs incurred to begin a business or service a portion of which are

    generally (but not always) sunk

    – ‘sunk cost fallacy’

    • Production costs

    – What resources are used up in order to produce a product or

    service

    – Joint/common costs and assignment

    – ‘what is the opportunity cost of a air marshal’?

    November 23-28 7

  • COSTS – THE DETAILS CONT’D

    • Fixed costs

    – Costs that do not change when the amount or rate of output

    changes

    – These costs are not ‘avoidable’; e.g. aircraft ownership

    – Semi-fixed – no significant change over a broad output range –

    happens with lumpy inputs (e.g. gates)

    – In aviation FC are large

    • Variable cost

    – Cost varies as output varies; e.g. fuel, labour, materials & supplies

    – Some variable costs are ‘semi-variable’, again due to lumpiness

    November 23-28 8

  • COSTS RELATIONSHIPS

    • Total costs TC) = Fixed cost (TFC) + Variable cost (TVC)

    • Average Total Cost (ATC) = AFC + AVC

    • Airline types of costs:

    • CASM = TOTAL COST/ASM

    • CASMOPERATING = OPERATING COST/ASM

    • Marginal cost = 𝑀𝐶 =Δ𝑇𝐶

    Δ𝑄=

    𝜕𝑇𝐶

    𝜕𝑄𝑜𝑟 =

    𝜕𝑇𝐶

    𝜕𝑄𝑖

    • E.g. Aircraft catering Costs as f(airplanes catered)

    • TC, FC, VC, AFC, ATC, MC

    • MORE ON COSTS AND DETAIL ON TUESDAY

    November 23-28 9

  • AN EXAMPLE WITH AIRCRAFT CATERING COSTS

    November 23-28 10

    AIRCRAFT CATERED TC FC VC AFC AVC ATC MC

    0 $200,000 $200,000 $0 $0 $0 $0 $0

    1 $300,000 $200,000 $100,000 $200,000 $100,000 $300,000 $100,000

    2 $400,000 $20,000 $200,000 $100,000 $100,000 $200,000 $100,000

    ….

    12 $1,400,000 $200,000 $1,200,000 $16,667 $100,000 $116,667 $100,000

  • WHY MIGHT COSTS VARY

    November 23-28 11

    Factor prices Productivity Taxes/Public policy

    Costs are a product of factor hired x factor productivity (VMP or MRP)

  • SOME EXAMPLES OF DIFFERENCES IN CASM

    November 23-28 12

    Source: Oliver Wyman, Airline Economic Analysis (November 2014)

  • SOME EXAMPLES OF DIFFERENCES IN CASM

    November 23-28 13

    Source: Oliver Wyman, Airline Economic Analysis (November 2014)

  • COSTS THE DETAILS

    FIXED COSTS

    • Fixed salaries & benefits, and crew

    training do not vary with aircraft usage

    • Maintenance costs – labour & contracted

    services costs of annual inspections

    • Leased costs based on time

    • Depreciation

    • Operations overhead

    • Administrative overhead

    • Self-insurance costs

    VARIABLE COSTS

    • Crew costs (travel, overtime, wages of

    hourly staff)

    • Maintenance costs based on hour usage of

    assets (aircraft) or flying cycles

    – Labour, parts, contracts, engine

    overhaul

    • Modifications

    • Fuel and other fluids

    • Lease costs based on flights hours

    • Landing fees and airport and enroute

    charges

    November 23-28 14

  • ANOTHER FORM OF COSTS BREAKDOWN

    November 23-28 15

    Operating Costs (OC)Direct OC Flight crew Aircraft fuel and oil Airport fees Navigation charges Direct maintenance:

    labour & materials Depreciation/Rentals/

    Insurance: Flight equipment

    Indirect OC Marketing Ground property & equipment

    o Depreciation, insurance, maintenance

    Administration & saleso Services administrationo Reservations & saleso Advertising & publicityo General

    Servicingo Passenger serviceso Aircraft serviceso Traffic services

    Non-operating Costs (NOC) Depreciation Interest Insurance Losses from retirement of property Losses from affiliated companies Other loss items (e.g. foreign

    exchange)

  • WHY MIGHT COSTS & CASM VARY ACROSS AIRLINES

    • Differences in stage length

    • Differences in seating density

    • Differences in Productivity

    November 23-28 16

  • HOW STAGE LENGTH PLAYS A ROLE

    November 23-28 17

    Source: Oliver Wyman, Airline Economic Analysis (November 2014)

  • November 23-28 18

    Source: Oliver Wyman, Airline Economic Analysis (November 2014)

  • HOW SEATING DENSITY PLAYS A ROLE

    November 23-28 19

    Source: Oliver Wyman, Airline Economic Analysis (November 2014)

  • November 23-28 20

    Source: Oliver Wyman, Airline Economic Analysis (November 2014)

  • November 23-28 21

    Source: Oliver Wyman, Airline Economic Analysis (November 2014)

  • PRODUCTIVITY-PERFORMANCE

    • Partial productivity metrics

    • Total factor productivity (TFP)

    • Operational performance indicators

    November 23-28 22

  • KEY STRATEGIC PERFORMANCE INDICATORS (PARTIAL)

    November 23-28 23

    Source: IATA

  • FINANCIAL PERFORMANCE INDICATOR: REVENUE & COSTS

    November 23-28 24

  • OPERATIONAL KEY PERFORMANCE INDICATORS

    • Fuel cost efficiency

    • Staff Productivity

    • Employment costs

    November 23-28 25

  • November 23-28 26

  • STAFF PRODUCTIVITY

    November 23-28 27

  • November 23-28 28

  • November 23-28 29

  • OTHER PERFORMANCE INDICATORS THAT COULD BE TRIED

    • Daily utilization by aircraft type

    • Direct operating expenses per flight-hour

    • Direct operating expenses per aircraft

    • Flight operating expenses

    • Maintenance and Overhaul Expenses per flight hour

    • Fuel & Oil Expenses per flight hour

    • How do we handle connecting flights?

    • IS CASM more straightforward than RASM?

    November 23-28 30

  • MEASURING AND MANAGING RISK

    November 23-28 31

  • WHERE IS THE RISK?• Make a distinction between risk (unknown) and uncertainty

    (measurable).

    – Risk-we don’t know what will happen but we know the distribution

    – Uncertainty – we don’t know what is going to happen and we do not know

    the distribution.

    • Just as an investment portfolio has an expected return so does a

    network of flights

    • Think of the expected return on a network as

    𝐸 𝑁 =

    𝑖=1

    𝑛

    𝑤𝑖 𝜌𝑖 𝑘𝑖

    • where w is the importance or weight of route i in the network and is

    the probability that an outcome will occur (e.g. state of the economy

    for route r and k is the return on a route (or a flight)

    November 23-28 32

  • MANAGING AND MEASURING RISK

    • Variance = 2 = 𝐸 𝑁 = σ𝑖=1𝑛 𝑤𝑖 𝜌𝑖[𝑘𝑖 − 𝑘𝑖]

    2

    • that is there is a difference between the actual and anticipated

    return.

    • Standard deviation, , is 𝑉𝑎𝑟𝑖𝑎𝑛𝑐𝑒

    – St. dev associated with normal distribution

    • In a normal distribution 68% of all measures fall within 1 st. dev of

    the mean, and 95% fall within 2 st. dev of mean.

    November 23-28 33

  • DIFFERENT STANDARD DEVIATIONS

    November 23-28 34

  • EACH PROCESS (ACTIVITY) HAS A RISK DISTRIBUTION

    • Basic airport processes:

    – Curbside, check-in, security, boarding, airside infrastructure

    services

    – Ancillary services: sources of non-aviation revenue

    • Basic airline processes:

    – Decisions within the airline (see next slide)

    – Infrastructure provision (airport services, ATC)

    – Exogenous influences: weather, politics, SARS, war

    • Risk tolerance:

    – Safety – 0 tolerance

    – On-board services – risk averse

    November 23-28 35

  • STYLIZED AIRLINE PROCESS MAPPING

    November 23-28 36

  • BETA MEASURE OF RISK

    • In stock returns beta is a risk measure that describes the

    relationship between an individual security expected return to

    that of the market.

    • Use the same idea to express the relationship between the

    expected return from an individual route and the return in a

    network or region.

    𝛽𝑖 =𝑐𝑜𝑣 𝑘𝑖 , 𝑘𝑛𝜎2 𝑘𝑛

    • Where n is network or you could use a region

    • Beta is used to calculate WACC

    November 23-28 37

  • NEED TO KNOW BETA

    • Check multiple sources,

    different sources give different

    numbers

    • Beta is ‘backward looking,

    based on past events but

    should adjusted to reflect risk

    profile going forward.

    • unlevered-value of if firm

    had no debt

    • levered by using s projected

    debt/equity ratio

    November 23-28 38

    Source: Sheelah Turner and Peter Morrell (2003), An evaluation of airline beta values

    and their application in calculating the cost of equity capital, Journal of Air Transport

    Management,9, 201-209

  • BETA AND WACC

    November 23-28 39

    𝛽𝑢𝑛𝑙𝑒𝑣𝑒𝑟𝑒𝑑 =𝛽𝑐𝑢𝑟𝑟𝑒𝑛𝑡

    1 + (1 − 𝑡) ൗ𝐷 𝐸 𝑎𝑐𝑡𝑢𝑎𝑙

    𝛽𝑙𝑒𝑣𝑒𝑟𝑒𝑑 = 𝛽𝑢𝑛𝑙𝑒𝑣𝑒𝑟𝑒𝑑 1 + (1 − 𝑡) ∙𝐷

    𝐸𝑡𝑎𝑟𝑔𝑒𝑡

    𝑊𝐴𝐶𝐶𝑡 = 𝑘𝑑 1 − 𝑡𝐷

    𝑉+ 𝑘𝑝𝑠

    𝑃𝑆

    𝑉+ 𝑘𝑒

    𝑒

    𝑉kd is cost of debt (i rate on bonds)

    kps is cost of preferred stock

    ke cost of common equity (common stock, retained earnings)

    t is effective tax rate

    D is market value of debt

    E is market value of equity outstanding

    Where does enter?

  • November 23-28 40

    Industry

    Number of

    firms Beta D/E Ratio Tax rate

    Unlevered

    beta

    Cash/Firm

    value

    Unlevered

    beta corrected

    for cash HiLo Risk

    Standard

    deviation of

    equity

    Air Transport 22 0.98 81.51% 18.71% 0.59 3.63% 0.61 0.4971 53.32%

    Auto & Truck 22 1.09 105.95% 4.45% 0.54 7.78% 0.59 0.6152 43.52%

    Banks (Regional) 676 0.53 77.69% 20.66% 0.33 12.56% 0.37 0.1969 37.41%

    Beverage (Alcoholic) 22 1.06 21.88% 8.54% 0.88 1.66% 0.89 0.5838 55.14%

    Business & Consumer Services 177 1.19 30.41% 13.30% 0.94 5.17% 1.00 0.5382 52.77%

    Computer Services 119 1.16 27.56% 10.48% 0.93 5.64% 0.99 0.5193 59.41%

    Electrical Equipment 126 1.24 16.86% 5.99% 1.07 6.52% 1.14 0.5870 65.34%

    Entertainment 84 1.21 27.52% 4.11% 0.95 3.26% 0.99 0.6339 58.48%

    Green & Renewable Energy 26 1.32 109.96% 1.94% 0.63 6.10% 0.68 0.7017 53.18%

    Healthcare Products 261 0.99 15.67% 6.73% 0.86 4.54% 0.90 0.5028 64.48%

    Machinery 137 1.23 20.43% 15.64% 1.05 5.94% 1.11 0.4598 46.22%

    Paper/Forest Products 22 0.84 51.02% 11.54% 0.58 3.25% 0.59 0.4571 44.94%

    Restaurant/Dining 79 0.89 27.87% 15.14% 0.72 2.35% 0.74 0.3574 44.43%

    Retail (Automotive) 30 1.18 50.19% 18.76% 0.83 1.34% 0.85 0.4353 48.06%

    Retail (General) 23 1.03 31.37% 21.36% 0.83 2.68% 0.85 0.3159 46.36%

    Shipbuilding & Marine 14 1.36 53.62% 6.75% 0.91 3.49% 0.94 0.4613 71.45%

    Steel 40 1.31 64.03% 13.99% 0.85 6.31% 0.90 0.3778 52.45%

    Transportation 21 0.86 21.03% 20.08% 0.73 4.11% 0.77 0.3829 42.36%

    Transportation (Railroads) 10 1.05 20.21% 21.30% 0.90 1.76% 0.92 0.3456 30.73%

    Trucking 30 1.32 66.66% 27.38% 0.89 2.72% 0.92 0.3604 48.49%

    Total Market 7887 1.06 66.14% 10.76% 0.67 4.95% 0.70 0.4697 53.60%

  • BROADER VIEW OF RISK MANAGEMENT

    November 23-28 41Source: easyjet 2014 annual report

  • END OF MODULE 3

    November 23-28 42