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0011 0010 1010 1101 0001 0100 1011
N. VAIDYANATHAN 1
PROBABLE MAXIMUM LOSS
BY
• N. VAIDYANATHAN
• BE(MECH)., D.O.M., M.I.E., F.I.V., F.I.I.I.S.LA.,
M.I.S.NDT, M.I.R.M(UK)
• CHARTERED ENGINEER
• RISK MANAGEMENT CONSULTANT
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0011 0010 1010 1101 0001 0100 1011
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PML AGENDA
• NEED FOR PML
• TERMINOLOGY USED
• ADVANTAGES
• DISADVANTAGES
• CALCULATION METHODS
• TAC DEFINITION
• DOCUMENT REQUIREMENTS
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“An estimate of the monetary loss
which can be sustained by insurers on
a Single Risk as a result of a single fire
or explosion considered by the
underwriters to be within the realms of
probability. The estimate ignores such
remote coincidence and catastrophe as
may be possible but which still remain
unlikely”.
“ defined by International Underwriters’
Association (IUA) formerly known as
London Insurance and Reinsurance
Market Association (LIRMA ) “
Probable MaximumLoss
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Probable Maximum Loss (PML) is
the maximum loss that an insurer
would be expected to incur on a
policy. Probable maximum loss
(PML) is most often associated with
insurance policies on property, such
as fire insurance. The probable
maximum loss represents the worst-
case scenario for an insurer.
Probable MaximumLoss
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Insurance companies use a wide variety of data
sets, including Probable Maximum Loss (PML),
when determining the risk associated with
underwriting a new insurance policy, a process
which also helps set the premium. Insurers
review past loss experience for similar perils,
demographic and geographic risk profiles, and
industry-wide information to set the premium.
An insurer assumes that a portion of the policies
that it underwrites will incur losses, but that the
bulk of policies will not.
Probable MaximumLoss
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Insurance companies differ on what probable
maximum loss means. At least three different
approaches to PML exist:
PML is the maximum percentage of risk that
could be subject to a loss at a given point in
time.
PML is the maximum amount of loss that an
insurer could handle in a particular area before
being insolvent.
PML is the total loss that an insurer would
expect to incur on a particular policy.
Probable MaximumLoss
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PROBABLE MAXIMUM LOSS
• MANY INSURERS FOLLOWED THE
CONCEPT BASED ON SUM INSURED
• STARTED MAINLY WITH FIRE
INSURANCE
• RETENTION BASED ON SUM
INSURED
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PROBABLE MAXIMUM LOSS
• TERMINOLOGY USED:
• PML - PROBABLE MAXIMUM LOSS
- POSSIBLE MAXIMUM LOSS
- POTENTIAL MAXIMUM LOSS
• MPL - MAXIMUM PROBABLE LOSS
• EML - ESTIMATED MAXIMUM LOSS
• NML - NORMAL LOSS EXPECTANCY
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PROBABLE MAXIMUM LOSS
• TERMINOLOGY USED:… CONTD…
• MEL - MAXIMUM ESTIMATED LOSS
• CML - CREDIBLE MAXIMUM LOSS
• MCL - MAXIMUM CREDIBLE LOSS
• FML - FORSEEABLE MAXIMUM LOSS
• MFL - MAXIMUM FORSEEABLE LOSS
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Definitions
 Numerous definitions in the
market
 Insurers have their own
definitions
 Most common definitions:
 Probable Maximum Loss (PML)
 Estimated Maximum Loss
(EML)
 Maximum Amount Subject
(MAS)
There No single
clear acronym and
for every acronym
there is a definition
and description,
which can further
be interpreted in
different ways …..
Probable MaximumLoss
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Construction
Occupancy
Protection
Exposures
S-COPE
Probable MaximumLoss
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Construction
First consideration
Relates to ability to withstand
damage by fire and other perils
and wind
Various Classes based on the
strength and material property
used for construction
Probable MaximumLoss
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Other Considerations
Age
Building Height
Fire Divisions
Building Openings
Building Codes
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Occupancy
Ignition Sources
Combustibility
Damageability
Probable MaximumLoss
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Occupancy
Habitational – apartments, hotels, motels,
nursing homes
Office – low hazard
Institutional – schools, churches, hospitals,
government property
Mercantile – department, hardware and
specialty stores
Service – dry cleaners, laundries, auto service
stations
Manufacturing – nature of product
Probable MaximumLoss
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N. VAIDYANATHAN 16
Hazards
Common hazards
Housekeeping
Heating equipment
Electrical equipment
Smoking materials
Probable MaximumLoss
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Protection
Key may be location of water supply
and fire hydrants
Water hoses/ Fire detectors/ Fire
extinguishers
Smoke detectors
5 -17
Probable MaximumLoss
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PROBABLE MAXIMUM LOSS
• IT IS GENERALLY BASED ON:
• 1. FREQUENCY
• 2. SEVERITY OF THE LOSS
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PROBABLE MAXIMUM LOSS
• CALCULATION OF PML:
• NO FORMULA AVAILABLE
• NO HARD AND FAST RULES LAID
OUT
• IT IS ONLY A GUESTIMATE
• A COMPLEX EXERCISE
• ANALYSIS OF TECHNICAL DATA
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PROBABLE MAXIMUM LOSS
• ADVANTAGES:
• LARGER SHARES OF RISKS CAN BE
HANDLED
• EASY FOR PLACING LARGE RISKS
• ACHIEVING A BALANCED
PORTFOLIO
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PROBABLE MAXIMUM LOSS
• DISADVANTAGES:
• IT IS ONLY A GUESTIMATE AND
SUBJECTIVE
• LARGER LOSS THAN PML WOULD
BE DISASTEROUS
• NO STANDARD DEFINITION OR
FORMULA
• CONTINOUS REVIEW NOT
POSSIBLE
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N. VAIDYANATHAN 22
While in practice PML underwriting is a powerful tool in the hands
of underwriters, it has to be used with great care and diligence.
The disadvantages of the practice include
PML is a subjective assessment of maximum severity of loss,
and too much reliance on it can prove costly. If actual loss
exceeds PML, the reinsurer will suffer.
Judgment plays an important role in the determination of PML,
and may go wrong if made by inexperienced person.
The lower the PML, the higher the underwriting capacity. Hence
there is a tendency to fix the PML on the lower side to generate
higher capacity. At the same time, the lower the PML, the
greater the possibility of the actual loss amount being higher
than anticipated.
Disadvantages ofPML
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PROBABLE MAXIMUM LOSS
• DEFINITION:
• ‘ THE PROBABLE MAXIMUM LOSS IS AN
ESTIMATE OF THE MONETORY LOSS
WHICH CAN BE SUSTAINED BY THE
INSURER ON A SINGLE RISK AS A
RESULT OF A SINGLE FIRE OR
EXPLOSION, AS CONSIDERED BY THE
INSURER TO BE WITHIN THE REALMS
OF PROBABILITY. THE ESTIMATE
INGNORES SUCH REMOTE
CATASTROPHES AS MAY BE POSSIBILE
BUT WOULD REMAIN UNLIKELY’
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ELEMENTSOF RISK
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PROBABLE MAXIMUM LOSS
• MANDATORY RISK INSPECTION:
• IT IS MANDATORY TO CARRY OUT
RISK INSPECTION FOR ARRIVING
AT PML ASSESSMENT OR ANY
REVISION THEREAFTER. RISK
INSPECTION MUST BE CARRIED
OUT ATLEAST ONCE IN 2 YEARS
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PROBABLE MAXIMUM LOSS
• RISK INSPECTION REPORT:
• PRODUCTION/PROCESS DATA – FLOW
DIAGRAM
• BLOCK WISE PROCESS/OPERATION DATA –
SHOWING PRESSURE/TEMP
• LAY OUT OF THE FACTORY
• EQUIPMENT LAYOUT PLAN
• DETAILS OF CONSTRUCTION
• QUANTITY AND NATURE OF STORAGE
• DETAILS OF HAZARDOUS/ NON HAXARDOUS
GOODS
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0011 0010 1010 1101 0001 0100 1011
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PROBABLE MAXIMUM LOSS
• RISK INSPECTION REPORT:.. CONT.
• UTILITIES/POWER DISTRIBUTION
• REPAIR FACILITIES
• DETAILS OF SPARES
• RELATIVE IMPORTANCE OF MACHINES
• HOUSE KEEPING/MAINTENANCE
• DISASTER MANAGEMENT PREPAREDNESS
• HAZOP/ HAZAN REPORTS
• DETAILS OF FIRE PROTECTION SYSTEMS
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PROBABLE MAXIMUM LOSS
• RISK INSPECTION REPORT:.. CONT.
• POLICY SCHEDULE GIVING BLOCK
WISE SUM INSURED
• GROSS PROFIT AS PER PL ACCOUNT
• SUM INSURED VS GROSS
PROFIT/INDEMNITY PERIOD/TIME
EXCESS
• CLAIM HISTORY
• HISTORY OF CATASTROPHE EVENTS
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PROBABLE MAXIMUM LOSS
• RISK INSPECTION REPORT:.. CONT.
• WARNING:
• PML IS ASSESSED ON BASIS OF FIRE AND
EXPLOSION PERILS IN MIND. IN THE
EVENT THE CATASTROPHE (FLOOD,
CYCLONE, EARTHQUAKE ETC) PERILS
ARE DOMINANT, THE RISK INSPECTION
SHOULD QUALIFY THE SAME SUITABLY
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PROBABLE MAXIMUM LOSS
• THE GUIDELINES GIVEN ARE FOR
DETERMINATION OF PML FOR
RISKS WHICH ARE EXPOSED TO
FIRE, SMOKE, WATER DAMAGES
ONLY
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Fire Area Separation
Structural Fire Area Separation
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PROBABLE MAXIMUM LOSS
• METHODOLOGY:
• FIND OUT DISTANCES BETWEEN
BLOCKS. CONSIDER THE BLOCKS
AS A SINGLE RISK UNLESS THE
FOLLOWING DISTANCES ARE
MAINTAINED FOR THE
OCCUPANCIES MENTIONED
AGAINST THEM
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0011 0010 1010 1101 0001 0100 1011
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PROBABLE MAXIMUM LOSS
Occupancy Superior Class I Class II
Light hazard 5 M 7 M 10 M
Ordinary Hazard 10 M 15 M 20 M
High Hazard 15 M 30 M 50 M
High Piled
storage/ Storage
of Flammable
Liquids/ Gases
50 M 50 M 50 M
CLASS OF CONSTRUCTION
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PROBABLE MAXIMUM LOSS
• ESTIMATE THE DAMAGE RANGE (IN TERMS OF
SUM INSURED) ON THE FOLLOWING BASIS:
• PERCENTAGES FOR LIGHT HAZARD
RISKS ARE SHOWN IN THE NEXT SLIDE.
THE DAMAGE PERCENTAGES SHOULD
BE SUITABLY ARRIVED AND LOADED IN
CASE OF ORDINARY HAZARD RISKS AND
HIGH HAZARD RISKS.
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0011 0010 1010 1101 0001 0100 1011
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PROBABLE MAXIMUM LOSS
Description Superior Class I Class II
Buildings 5-25% 20-50% 30-80%
M/c.
Equipment
10-40% 15-50% 40-90%
Heavy
Precision
25-80% 25-100% 70-100%
Stocks 40-100% 40-100% 70-100%
PERCENTAGES FOR LIGHT HAZARD RISKS
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0011 0010 1010 1101 0001 0100 1011
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PROBABLE MAXIMUM LOSS
• IN THE EVENT THE LOWER
HAZARD RISK OCCUPANCY IS
WITHIN THE STIPULATED
DISTANCES FROM THE HIGHER
HAZARD RISK, THE PERCENTAGE
DAMAGE IS TO BE TAKEN FROM
THE TABLE ON THE BASIS OF
HIGER HAZARD RISK OCCUPANCY
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0011 0010 1010 1101 0001 0100 1011
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PML - EXAMPLE
• CALCULATE PML FOR THE RISK HAVING THE
FOLLOWING DATA:
• RISK – TEXTILE MILLS
• TOTAL SI – 100 CRORES
• BLOW ROOM, CARDING, SPINNING ROOMS ARE
SEPARATED FROM EACH OTHER
• WEAVING, WINDING, WARPING, CLOTH
PROCESSING, PACKING ARE COMMUNICATING
WITH EACH OTHER
• FINISHED GOODS GODOWN IS WITHIN 10 M OF
PACKING DEPT
• BUILDINGS NOT COVERED UNDER POLICY
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0011 0010 1010 1101 0001 0100 1011
N. VAIDYANATHAN 38
PML - EXAMPLE
• DATA ON SUM INSURED: FINISHED GOODS – 64 CRORES
BLOCK MACHINERY SUM
INSURED
STOCKS
BLOW ROOM GEN.MACHINE 1 CRORE 1 CRORE
HEAVY 2 CRORES
CARDING/SPINNING GEN. MACHINE 3 CRORES 2 CRORES
PRECISION 10 CRORES
WEAVING/WINDING
AND OTHERS
GEN.MACHINE 2 CRORES 5 CRORES
HEAVY 10 CRORES
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N. VAIDYANATHAN 39
PML -EXAMPLE
• RISK – TEXTILE MILLS
• SINGLE RISK
• CATEGORY – ORDINARY HAZARD (IN CRORES)
BLOCK
SUM INSU
BLOW
ROOM
CARDING/
SPINNING
WEAVING
WINDING
FINISHED
STOCKS
GEN.MAC
01 03 02
HEAVY/
PRECISIO
02 10 10
STOCKS
01 02 05
FINISHED
STOCKS
64
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0011 0010 1010 1101 0001 0100 1011
N. VAIDYANATHAN 40
PML -EXAMPLE
SR.NO ASSETS TOTAL
S.I
% OF
PML
PML
1 GEN.MACH
IN
06 CR 25% 1.5 CR
2 HEAVY/
PRECISION
22 CR 80% 17.6 CR
3 STOCKS 08 CR 100% 8.0 CR
4 FINISHED
STOCKS
64 CR 80% 51.2 CR
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0011 0010 1010 1101 0001 0100 1011
N. VAIDYANATHAN 41
PML -EXAMPLE
SUMMARY:
TOTAL SUM INSURED: 100.00 CRORES
PMLARRIVED AT: 78.30 CRORES
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0011 0010 1010 1101 0001 0100 1011
N. VAIDYANATHAN 42
PML RATINGS
SR.NO PML RATING RANGE IN %
1 MINIMUM PML UPTO 10
2 LOW PML 11 TO 30
3 MODERATE PML 31 TO 60
4 HIGH PML 61 TO 90
5 VERY HIGH PML 91 UPWARDS
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0011 0010 1010 1101 0001 0100 1011
N. VAIDYANATHAN 43
PML –EXAMPLE --- 2 method
BY GROUPING BLOCK WISE WITH MERITS
CARDING/
SPINNING
S.INSURED % ge PML PML-SI
GEN.MACH 3.0 CR 50% 1,50,00,000
HEAVY 10.0 CR 70% 7,00,00,000
STOCKS 2.0 CR 85% 1,70,00,000
TOTAL 10,20,00,000
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0011 0010 1010 1101 0001 0100 1011
N. VAIDYANATHAN 44
PML –EXAMPLE --- 2 method
BY GROUPING BLOCK WISE WITH MERITS
WEAVING/
WINDING
S.INSURED % ge PML PML-SI
GEN.MACH 2.0 CR 25% 50,00,000
HEAVY 10.0 CR 65% 6,50,00,000
STOCKS 5.0 CR 70% 3,50,00,000
TOTAL 10,50,00,000
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0011 0010 1010 1101 0001 0100 1011
N. VAIDYANATHAN 45
PML –EXAMPLE --- 2 method
BY GROUPING BLOCK WISE WITH MERITS
BLOW
ROOM
S.INSURED % ge PML PML-SI
GEN.MACH 1.0 CR 40% 40,00,000
HEAVY 2.0 CR 75% 1,50,00,000
STOCKS 1.0 CR 100% 1,00,00,000
TOTAL 2,90,00,000
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0011 0010 1010 1101 0001 0100 1011
N. VAIDYANATHAN 46
PML – EXAMPLE – 2 METHOD
• SUMMARY:
• BLOW ROOM ETC 2,90,00,000
• CARDING/SPINNING 10,20,00,000
• WEAVING/WINDING 10,50,00,000
• FINISHED STOCKS 51,20,00,000
(FINISHED STOCK 64 CR AT 80%)
TOTAL PML 74,80,00,000
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0011 0010 1010 1101 0001 0100 1011
N. VAIDYANATHAN 47
A1 A2
A3
A4
A5
A6
Probable MaximumLoss
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0011 0010 1010 1101 0001 0100 1011
N. VAIDYANATHAN 48
FIRE AREA
SUM
INSURED
MPL
A1
Finished Product
Storage
15 M
15%
- Building
5 M
- Plant & Machinery -
- Stock 10 M
A3
Raw Paper Stores I &
II
10 M
10%
- Building
4 M
- Plant & Machinery -
- Stock 6 M
A4
Admin Block 5 M
5%
- Building 5 M
- Plant & Machinery -
- Stocks
-
FIRE AREA
SUM
INSURED
MPL
A5
Boiler House 10 M
10%
- Building 3 M
- Plant & Machinery 7 M
- Stock -
A6
Fuel Storage Area 10 M
10%
- Building -
- Plant & Machinery
4 M
- Stock 6 M
Total Sum Insured
(TSI)
100 M
Production area 50M
Building 20M
Plant and machi 25M
Stocks 5M
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0011 0010 1010 1101 0001 0100 1011
N. VAIDYANATHAN 49
PROBABLE MAXIMUM LOSS
• GUIDELINES FOR DETERMINATION OF
PML FOR RISKS UNDER MBD POLICIES:
• 1. IDENTIFY THE MACHINERY WITH
HIGHEST SUM INSURED VALUE
• 2. IF DAMAGE TO ONE WILL LEAD
DAMAGES TO OTHER(S), TAKE ALL
MACHINES FOR CALCULATION
• 3. HIGER OF THE TWO PML, TO BE
CONSIDERED
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0011 0010 1010 1101 0001 0100 1011
N. VAIDYANATHAN 50
It is hereby noted and agreed that with effect from
March 2019, following amendments will be made to
the contract written under Fire department:
MINIMUM PML TO BE REVISED AS UNDER: IN INR
100%SUM INSURED
(MD+BI)
MINIMUM PML (MD+BI)
UPTO 500 CRORES 100% SUM INSURED BASIS
500 CRORES TO 1500
CRORES
60% MD + 100% BI – TOP LOCATION
1500 CRORES TO 2500
CRORES
40% MD + 100% BI – TOP LOCATION
ABOVE 2500 CRORES 30% MD + 100% BI – TOP LOCATION
All risks with Sum Insured INR 20,000 crores and
above to be referred to GIC Re for approval
before any cession is made.
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0011 0010 1010 1101 0001 0100 1011
N. VAIDYANATHAN 51
3-51
Knowledge of Risk Manager
INSURANCE
SAFETY
Your
INDUSTRY
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N. VAIDYANATHAN 52
52
ANY QUESTIONS ???
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53

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PML CALCULATIONS.ppt

  • 1. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 1 PROBABLE MAXIMUM LOSS BY • N. VAIDYANATHAN • BE(MECH)., D.O.M., M.I.E., F.I.V., F.I.I.I.S.LA., M.I.S.NDT, M.I.R.M(UK) • CHARTERED ENGINEER • RISK MANAGEMENT CONSULTANT
  • 2. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 2 PML AGENDA • NEED FOR PML • TERMINOLOGY USED • ADVANTAGES • DISADVANTAGES • CALCULATION METHODS • TAC DEFINITION • DOCUMENT REQUIREMENTS
  • 3. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 3 “An estimate of the monetary loss which can be sustained by insurers on a Single Risk as a result of a single fire or explosion considered by the underwriters to be within the realms of probability. The estimate ignores such remote coincidence and catastrophe as may be possible but which still remain unlikely”. “ defined by International Underwriters’ Association (IUA) formerly known as London Insurance and Reinsurance Market Association (LIRMA ) “ Probable MaximumLoss
  • 4. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 4 Probable Maximum Loss (PML) is the maximum loss that an insurer would be expected to incur on a policy. Probable maximum loss (PML) is most often associated with insurance policies on property, such as fire insurance. The probable maximum loss represents the worst- case scenario for an insurer. Probable MaximumLoss
  • 5. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 5 Insurance companies use a wide variety of data sets, including Probable Maximum Loss (PML), when determining the risk associated with underwriting a new insurance policy, a process which also helps set the premium. Insurers review past loss experience for similar perils, demographic and geographic risk profiles, and industry-wide information to set the premium. An insurer assumes that a portion of the policies that it underwrites will incur losses, but that the bulk of policies will not. Probable MaximumLoss
  • 6. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 6 Insurance companies differ on what probable maximum loss means. At least three different approaches to PML exist: PML is the maximum percentage of risk that could be subject to a loss at a given point in time. PML is the maximum amount of loss that an insurer could handle in a particular area before being insolvent. PML is the total loss that an insurer would expect to incur on a particular policy. Probable MaximumLoss
  • 7. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 7 PROBABLE MAXIMUM LOSS • MANY INSURERS FOLLOWED THE CONCEPT BASED ON SUM INSURED • STARTED MAINLY WITH FIRE INSURANCE • RETENTION BASED ON SUM INSURED
  • 8. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 8 PROBABLE MAXIMUM LOSS • TERMINOLOGY USED: • PML - PROBABLE MAXIMUM LOSS - POSSIBLE MAXIMUM LOSS - POTENTIAL MAXIMUM LOSS • MPL - MAXIMUM PROBABLE LOSS • EML - ESTIMATED MAXIMUM LOSS • NML - NORMAL LOSS EXPECTANCY
  • 9. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 9 PROBABLE MAXIMUM LOSS • TERMINOLOGY USED:… CONTD… • MEL - MAXIMUM ESTIMATED LOSS • CML - CREDIBLE MAXIMUM LOSS • MCL - MAXIMUM CREDIBLE LOSS • FML - FORSEEABLE MAXIMUM LOSS • MFL - MAXIMUM FORSEEABLE LOSS
  • 10. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 10 Definitions  Numerous definitions in the market  Insurers have their own definitions  Most common definitions:  Probable Maximum Loss (PML)  Estimated Maximum Loss (EML)  Maximum Amount Subject (MAS) There No single clear acronym and for every acronym there is a definition and description, which can further be interpreted in different ways ….. Probable MaximumLoss
  • 11. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 11 Construction Occupancy Protection Exposures S-COPE Probable MaximumLoss
  • 12. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 12 Construction First consideration Relates to ability to withstand damage by fire and other perils and wind Various Classes based on the strength and material property used for construction Probable MaximumLoss
  • 13. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 13 Other Considerations Age Building Height Fire Divisions Building Openings Building Codes
  • 14. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 14 Occupancy Ignition Sources Combustibility Damageability Probable MaximumLoss
  • 15. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 15 Occupancy Habitational – apartments, hotels, motels, nursing homes Office – low hazard Institutional – schools, churches, hospitals, government property Mercantile – department, hardware and specialty stores Service – dry cleaners, laundries, auto service stations Manufacturing – nature of product Probable MaximumLoss
  • 16. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 16 Hazards Common hazards Housekeeping Heating equipment Electrical equipment Smoking materials Probable MaximumLoss
  • 17. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 17 Protection Key may be location of water supply and fire hydrants Water hoses/ Fire detectors/ Fire extinguishers Smoke detectors 5 -17 Probable MaximumLoss
  • 18. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 18 PROBABLE MAXIMUM LOSS • IT IS GENERALLY BASED ON: • 1. FREQUENCY • 2. SEVERITY OF THE LOSS
  • 19. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 19 PROBABLE MAXIMUM LOSS • CALCULATION OF PML: • NO FORMULA AVAILABLE • NO HARD AND FAST RULES LAID OUT • IT IS ONLY A GUESTIMATE • A COMPLEX EXERCISE • ANALYSIS OF TECHNICAL DATA
  • 20. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 20 PROBABLE MAXIMUM LOSS • ADVANTAGES: • LARGER SHARES OF RISKS CAN BE HANDLED • EASY FOR PLACING LARGE RISKS • ACHIEVING A BALANCED PORTFOLIO
  • 21. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 21 PROBABLE MAXIMUM LOSS • DISADVANTAGES: • IT IS ONLY A GUESTIMATE AND SUBJECTIVE • LARGER LOSS THAN PML WOULD BE DISASTEROUS • NO STANDARD DEFINITION OR FORMULA • CONTINOUS REVIEW NOT POSSIBLE
  • 22. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 22 N. VAIDYANATHAN 22 While in practice PML underwriting is a powerful tool in the hands of underwriters, it has to be used with great care and diligence. The disadvantages of the practice include PML is a subjective assessment of maximum severity of loss, and too much reliance on it can prove costly. If actual loss exceeds PML, the reinsurer will suffer. Judgment plays an important role in the determination of PML, and may go wrong if made by inexperienced person. The lower the PML, the higher the underwriting capacity. Hence there is a tendency to fix the PML on the lower side to generate higher capacity. At the same time, the lower the PML, the greater the possibility of the actual loss amount being higher than anticipated. Disadvantages ofPML
  • 23. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 23 PROBABLE MAXIMUM LOSS • DEFINITION: • ‘ THE PROBABLE MAXIMUM LOSS IS AN ESTIMATE OF THE MONETORY LOSS WHICH CAN BE SUSTAINED BY THE INSURER ON A SINGLE RISK AS A RESULT OF A SINGLE FIRE OR EXPLOSION, AS CONSIDERED BY THE INSURER TO BE WITHIN THE REALMS OF PROBABILITY. THE ESTIMATE INGNORES SUCH REMOTE CATASTROPHES AS MAY BE POSSIBILE BUT WOULD REMAIN UNLIKELY’
  • 24. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 24 ELEMENTSOF RISK
  • 25. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 25 PROBABLE MAXIMUM LOSS • MANDATORY RISK INSPECTION: • IT IS MANDATORY TO CARRY OUT RISK INSPECTION FOR ARRIVING AT PML ASSESSMENT OR ANY REVISION THEREAFTER. RISK INSPECTION MUST BE CARRIED OUT ATLEAST ONCE IN 2 YEARS
  • 26. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 26 PROBABLE MAXIMUM LOSS • RISK INSPECTION REPORT: • PRODUCTION/PROCESS DATA – FLOW DIAGRAM • BLOCK WISE PROCESS/OPERATION DATA – SHOWING PRESSURE/TEMP • LAY OUT OF THE FACTORY • EQUIPMENT LAYOUT PLAN • DETAILS OF CONSTRUCTION • QUANTITY AND NATURE OF STORAGE • DETAILS OF HAZARDOUS/ NON HAXARDOUS GOODS
  • 27. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 27 PROBABLE MAXIMUM LOSS • RISK INSPECTION REPORT:.. CONT. • UTILITIES/POWER DISTRIBUTION • REPAIR FACILITIES • DETAILS OF SPARES • RELATIVE IMPORTANCE OF MACHINES • HOUSE KEEPING/MAINTENANCE • DISASTER MANAGEMENT PREPAREDNESS • HAZOP/ HAZAN REPORTS • DETAILS OF FIRE PROTECTION SYSTEMS
  • 28. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 28 PROBABLE MAXIMUM LOSS • RISK INSPECTION REPORT:.. CONT. • POLICY SCHEDULE GIVING BLOCK WISE SUM INSURED • GROSS PROFIT AS PER PL ACCOUNT • SUM INSURED VS GROSS PROFIT/INDEMNITY PERIOD/TIME EXCESS • CLAIM HISTORY • HISTORY OF CATASTROPHE EVENTS
  • 29. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 29 PROBABLE MAXIMUM LOSS • RISK INSPECTION REPORT:.. CONT. • WARNING: • PML IS ASSESSED ON BASIS OF FIRE AND EXPLOSION PERILS IN MIND. IN THE EVENT THE CATASTROPHE (FLOOD, CYCLONE, EARTHQUAKE ETC) PERILS ARE DOMINANT, THE RISK INSPECTION SHOULD QUALIFY THE SAME SUITABLY
  • 30. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 30 PROBABLE MAXIMUM LOSS • THE GUIDELINES GIVEN ARE FOR DETERMINATION OF PML FOR RISKS WHICH ARE EXPOSED TO FIRE, SMOKE, WATER DAMAGES ONLY
  • 31. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 31 Fire Area Separation Structural Fire Area Separation
  • 32. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 32 PROBABLE MAXIMUM LOSS • METHODOLOGY: • FIND OUT DISTANCES BETWEEN BLOCKS. CONSIDER THE BLOCKS AS A SINGLE RISK UNLESS THE FOLLOWING DISTANCES ARE MAINTAINED FOR THE OCCUPANCIES MENTIONED AGAINST THEM
  • 33. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 33 PROBABLE MAXIMUM LOSS Occupancy Superior Class I Class II Light hazard 5 M 7 M 10 M Ordinary Hazard 10 M 15 M 20 M High Hazard 15 M 30 M 50 M High Piled storage/ Storage of Flammable Liquids/ Gases 50 M 50 M 50 M CLASS OF CONSTRUCTION
  • 34. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 34 PROBABLE MAXIMUM LOSS • ESTIMATE THE DAMAGE RANGE (IN TERMS OF SUM INSURED) ON THE FOLLOWING BASIS: • PERCENTAGES FOR LIGHT HAZARD RISKS ARE SHOWN IN THE NEXT SLIDE. THE DAMAGE PERCENTAGES SHOULD BE SUITABLY ARRIVED AND LOADED IN CASE OF ORDINARY HAZARD RISKS AND HIGH HAZARD RISKS.
  • 35. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 35 PROBABLE MAXIMUM LOSS Description Superior Class I Class II Buildings 5-25% 20-50% 30-80% M/c. Equipment 10-40% 15-50% 40-90% Heavy Precision 25-80% 25-100% 70-100% Stocks 40-100% 40-100% 70-100% PERCENTAGES FOR LIGHT HAZARD RISKS
  • 36. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 36 PROBABLE MAXIMUM LOSS • IN THE EVENT THE LOWER HAZARD RISK OCCUPANCY IS WITHIN THE STIPULATED DISTANCES FROM THE HIGHER HAZARD RISK, THE PERCENTAGE DAMAGE IS TO BE TAKEN FROM THE TABLE ON THE BASIS OF HIGER HAZARD RISK OCCUPANCY
  • 37. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 37 PML - EXAMPLE • CALCULATE PML FOR THE RISK HAVING THE FOLLOWING DATA: • RISK – TEXTILE MILLS • TOTAL SI – 100 CRORES • BLOW ROOM, CARDING, SPINNING ROOMS ARE SEPARATED FROM EACH OTHER • WEAVING, WINDING, WARPING, CLOTH PROCESSING, PACKING ARE COMMUNICATING WITH EACH OTHER • FINISHED GOODS GODOWN IS WITHIN 10 M OF PACKING DEPT • BUILDINGS NOT COVERED UNDER POLICY
  • 38. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 38 PML - EXAMPLE • DATA ON SUM INSURED: FINISHED GOODS – 64 CRORES BLOCK MACHINERY SUM INSURED STOCKS BLOW ROOM GEN.MACHINE 1 CRORE 1 CRORE HEAVY 2 CRORES CARDING/SPINNING GEN. MACHINE 3 CRORES 2 CRORES PRECISION 10 CRORES WEAVING/WINDING AND OTHERS GEN.MACHINE 2 CRORES 5 CRORES HEAVY 10 CRORES
  • 39. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 39 PML -EXAMPLE • RISK – TEXTILE MILLS • SINGLE RISK • CATEGORY – ORDINARY HAZARD (IN CRORES) BLOCK SUM INSU BLOW ROOM CARDING/ SPINNING WEAVING WINDING FINISHED STOCKS GEN.MAC 01 03 02 HEAVY/ PRECISIO 02 10 10 STOCKS 01 02 05 FINISHED STOCKS 64
  • 40. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 40 PML -EXAMPLE SR.NO ASSETS TOTAL S.I % OF PML PML 1 GEN.MACH IN 06 CR 25% 1.5 CR 2 HEAVY/ PRECISION 22 CR 80% 17.6 CR 3 STOCKS 08 CR 100% 8.0 CR 4 FINISHED STOCKS 64 CR 80% 51.2 CR
  • 41. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 41 PML -EXAMPLE SUMMARY: TOTAL SUM INSURED: 100.00 CRORES PMLARRIVED AT: 78.30 CRORES
  • 42. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 42 PML RATINGS SR.NO PML RATING RANGE IN % 1 MINIMUM PML UPTO 10 2 LOW PML 11 TO 30 3 MODERATE PML 31 TO 60 4 HIGH PML 61 TO 90 5 VERY HIGH PML 91 UPWARDS
  • 43. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 43 PML –EXAMPLE --- 2 method BY GROUPING BLOCK WISE WITH MERITS CARDING/ SPINNING S.INSURED % ge PML PML-SI GEN.MACH 3.0 CR 50% 1,50,00,000 HEAVY 10.0 CR 70% 7,00,00,000 STOCKS 2.0 CR 85% 1,70,00,000 TOTAL 10,20,00,000
  • 44. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 44 PML –EXAMPLE --- 2 method BY GROUPING BLOCK WISE WITH MERITS WEAVING/ WINDING S.INSURED % ge PML PML-SI GEN.MACH 2.0 CR 25% 50,00,000 HEAVY 10.0 CR 65% 6,50,00,000 STOCKS 5.0 CR 70% 3,50,00,000 TOTAL 10,50,00,000
  • 45. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 45 PML –EXAMPLE --- 2 method BY GROUPING BLOCK WISE WITH MERITS BLOW ROOM S.INSURED % ge PML PML-SI GEN.MACH 1.0 CR 40% 40,00,000 HEAVY 2.0 CR 75% 1,50,00,000 STOCKS 1.0 CR 100% 1,00,00,000 TOTAL 2,90,00,000
  • 46. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 46 PML – EXAMPLE – 2 METHOD • SUMMARY: • BLOW ROOM ETC 2,90,00,000 • CARDING/SPINNING 10,20,00,000 • WEAVING/WINDING 10,50,00,000 • FINISHED STOCKS 51,20,00,000 (FINISHED STOCK 64 CR AT 80%) TOTAL PML 74,80,00,000
  • 47. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 47 A1 A2 A3 A4 A5 A6 Probable MaximumLoss
  • 48. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 48 FIRE AREA SUM INSURED MPL A1 Finished Product Storage 15 M 15% - Building 5 M - Plant & Machinery - - Stock 10 M A3 Raw Paper Stores I & II 10 M 10% - Building 4 M - Plant & Machinery - - Stock 6 M A4 Admin Block 5 M 5% - Building 5 M - Plant & Machinery - - Stocks - FIRE AREA SUM INSURED MPL A5 Boiler House 10 M 10% - Building 3 M - Plant & Machinery 7 M - Stock - A6 Fuel Storage Area 10 M 10% - Building - - Plant & Machinery 4 M - Stock 6 M Total Sum Insured (TSI) 100 M Production area 50M Building 20M Plant and machi 25M Stocks 5M
  • 49. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 49 PROBABLE MAXIMUM LOSS • GUIDELINES FOR DETERMINATION OF PML FOR RISKS UNDER MBD POLICIES: • 1. IDENTIFY THE MACHINERY WITH HIGHEST SUM INSURED VALUE • 2. IF DAMAGE TO ONE WILL LEAD DAMAGES TO OTHER(S), TAKE ALL MACHINES FOR CALCULATION • 3. HIGER OF THE TWO PML, TO BE CONSIDERED
  • 50. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 50 It is hereby noted and agreed that with effect from March 2019, following amendments will be made to the contract written under Fire department: MINIMUM PML TO BE REVISED AS UNDER: IN INR 100%SUM INSURED (MD+BI) MINIMUM PML (MD+BI) UPTO 500 CRORES 100% SUM INSURED BASIS 500 CRORES TO 1500 CRORES 60% MD + 100% BI – TOP LOCATION 1500 CRORES TO 2500 CRORES 40% MD + 100% BI – TOP LOCATION ABOVE 2500 CRORES 30% MD + 100% BI – TOP LOCATION All risks with Sum Insured INR 20,000 crores and above to be referred to GIC Re for approval before any cession is made.
  • 51. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 51 3-51 Knowledge of Risk Manager INSURANCE SAFETY Your INDUSTRY
  • 52. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 52 52 ANY QUESTIONS ???
  • 53. 42 1 0011 0010 1010 1101 0001 0100 1011 N. VAIDYANATHAN 53 53