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25th Annual CAA Conference
Hilton Trinidad & Conference Centre
Port of Spain, Trinidad & Tobago
2nd to 4th December 2015
2015 Conference
“Strength in Numbers"
Capital Regimes –
What’s appropriate for the Caribbean?
MSc Servaas Houben, AAG-FIA, CFA, FRM
Head of Actuarial, ENNIA, Curacao
servaashouben@gmail.com
Friday 4 December 2015
Experiences in the Dutch Caribbean
3
Background
 Dutch Caribbean consisting of 6 islands with total
population of around 310.000 inhabitants
 Part of Kingdom of the Netherlands, different islands have
different status
 Several official languages: Dutch, English and Papiamentu
 Islands spread over the Caribbean
4
Some famous quotes around data
 “Lies, damned lies, and statistics” - British Prime Minister
Benjamin Disraeli
 “Data! Data! Data!" he cried impatiently. "I can't make
bricks without clay.” - Sherlock Holmes in The Adventure
of the Copper Beeches
5
Current capital regime Dutch
Caribbean
 Solvency I based regime
 Statutory reserve reporting
 Liability adequacy test reporting
 Some careful steps towards risk management
 Central bank reporting for qualitative risk management:
risk describing (risk universe), monitoring, and
mitigation
 No formal quantitative risk management reporting
6
Data availability
US/UK Dutch Caribbean
Stock market S&P from 1927 onwards DCSX
Government
bond market
First UK gilt 1694 Bought up by Netherlands
Inflation UK 1981
US TIPS 1997
CBS data
Property UK: house Price index from
1995
Monthly data from 2001
Insurance risks Internal and general population
studies
Internal and general population
studies but risk of sample bias
Overall Relatively easy to calculate,
motivate and implement
Difficult to calculate and how
to implement with limited
opportunities to create value
for the company?
7
Disadvantages of “expert judgment”
Nr of different people in election poster?
A. 1-50
B. 51-100
C. 101-150
D. 151-200
E. 200+
8
The problem with heatmaps
1 3
42
9
Scenario creation
Market expansionMarket contraction
IncreasedregulationsLessregulations
• Few bigger players
• New entrants from abroad?
• New entrants from home
and abroad
• New (unregulated?)
products
• Miss-selling risks?
• Consolidation
• Less product innovation
• Focus on niche products
• Expansion abroad?
10
Creating distributions
 Even without data one can define risk as frequency times
severity
 Frequency: ask experts
 What the most likely frequency is of an event
 Poisson distribution then models likelihood
 Severity: ask experts
 What the most likely impact is of an event
 What the worst impact is in 5, 10, 25 years
11
Practical example
 Mortality study on insured population Dutch Antilles
 Use of trends in general population life expectancy
instead of focussing on insured part of the population or
worldwide trends
 Dutch actuarial association uses European trends
 Backtesting results regularly using moving average
 Smooth overall pattern from annual extremes
12
How can economic capital still deliver
value? - Diversification is king
 Without data difficult to motivate an extensive economic
capital framework.
 Value therefore not added by looking at correlations
between risks and redistributing risks themselves or
between business units
 Instead look for balance of insurance portfolio and
ensure offsetting between mortality and longevity risk
is maintained
13
Take aways
 Without data, the most convincing story prevails
 Find ways to increase data set
 General trends (in overall population or worldwide)
 Create operational risk database (UK): adjust impact
of risk to size of organisation
 Use blend of data, scenario analysis, and expert judgement
 Apply simple sensitivity tests instead of stories
 Without data the crude tool of additional capital buffers
might be most practical
14
Conclusion
“It is a capital mistake to theorize before one has data.
Insensibly one begins to twist facts to suit theories, instead of
theories to suit facts.”
Sherlock Holmes, A Scandal in Bohemia
15
References
 Buck consultants, Update mortality study 2015,
http://buckconsultants.cw/augustus-2015-update-
sterfteonderzoek-1, August 2015
 Lenny Stoeldraijer Central bureau of statistics, Bevolking
trends 2014, Levensverwachting in Caribisch Nederland
verschilt weinig met Nederland, March 2014
 Servaas Houben, Longevity in the Caribbean - the end of la
dolce vita?, The European Actuary, October 2015
16
About me
Servaas Houben is managing the actuarial department of
ENNIA in Willemstad, Curacao. He studied
econometrics in the Netherlands and worked there for
the first 4 years of his career. Thereafter, Servaas
worked in Dublin and London. Besides actuarial,
Servaas completed the CFA and FRM qualifications.
Servaas regularly writes for his blog, CFA digest, and
(actuarial) magazines.
Email: servaashouben@gmail.com
Blog: http://actuaryabroad.wordpress.com

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Internal models and data limitations_final version

  • 1. 25th Annual CAA Conference Hilton Trinidad & Conference Centre Port of Spain, Trinidad & Tobago 2nd to 4th December 2015 2015 Conference “Strength in Numbers"
  • 2. Capital Regimes – What’s appropriate for the Caribbean? MSc Servaas Houben, AAG-FIA, CFA, FRM Head of Actuarial, ENNIA, Curacao servaashouben@gmail.com Friday 4 December 2015 Experiences in the Dutch Caribbean
  • 3. 3 Background  Dutch Caribbean consisting of 6 islands with total population of around 310.000 inhabitants  Part of Kingdom of the Netherlands, different islands have different status  Several official languages: Dutch, English and Papiamentu  Islands spread over the Caribbean
  • 4. 4 Some famous quotes around data  “Lies, damned lies, and statistics” - British Prime Minister Benjamin Disraeli  “Data! Data! Data!" he cried impatiently. "I can't make bricks without clay.” - Sherlock Holmes in The Adventure of the Copper Beeches
  • 5. 5 Current capital regime Dutch Caribbean  Solvency I based regime  Statutory reserve reporting  Liability adequacy test reporting  Some careful steps towards risk management  Central bank reporting for qualitative risk management: risk describing (risk universe), monitoring, and mitigation  No formal quantitative risk management reporting
  • 6. 6 Data availability US/UK Dutch Caribbean Stock market S&P from 1927 onwards DCSX Government bond market First UK gilt 1694 Bought up by Netherlands Inflation UK 1981 US TIPS 1997 CBS data Property UK: house Price index from 1995 Monthly data from 2001 Insurance risks Internal and general population studies Internal and general population studies but risk of sample bias Overall Relatively easy to calculate, motivate and implement Difficult to calculate and how to implement with limited opportunities to create value for the company?
  • 7. 7 Disadvantages of “expert judgment” Nr of different people in election poster? A. 1-50 B. 51-100 C. 101-150 D. 151-200 E. 200+
  • 8. 8 The problem with heatmaps 1 3 42
  • 9. 9 Scenario creation Market expansionMarket contraction IncreasedregulationsLessregulations • Few bigger players • New entrants from abroad? • New entrants from home and abroad • New (unregulated?) products • Miss-selling risks? • Consolidation • Less product innovation • Focus on niche products • Expansion abroad?
  • 10. 10 Creating distributions  Even without data one can define risk as frequency times severity  Frequency: ask experts  What the most likely frequency is of an event  Poisson distribution then models likelihood  Severity: ask experts  What the most likely impact is of an event  What the worst impact is in 5, 10, 25 years
  • 11. 11 Practical example  Mortality study on insured population Dutch Antilles  Use of trends in general population life expectancy instead of focussing on insured part of the population or worldwide trends  Dutch actuarial association uses European trends  Backtesting results regularly using moving average  Smooth overall pattern from annual extremes
  • 12. 12 How can economic capital still deliver value? - Diversification is king  Without data difficult to motivate an extensive economic capital framework.  Value therefore not added by looking at correlations between risks and redistributing risks themselves or between business units  Instead look for balance of insurance portfolio and ensure offsetting between mortality and longevity risk is maintained
  • 13. 13 Take aways  Without data, the most convincing story prevails  Find ways to increase data set  General trends (in overall population or worldwide)  Create operational risk database (UK): adjust impact of risk to size of organisation  Use blend of data, scenario analysis, and expert judgement  Apply simple sensitivity tests instead of stories  Without data the crude tool of additional capital buffers might be most practical
  • 14. 14 Conclusion “It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.” Sherlock Holmes, A Scandal in Bohemia
  • 15. 15 References  Buck consultants, Update mortality study 2015, http://buckconsultants.cw/augustus-2015-update- sterfteonderzoek-1, August 2015  Lenny Stoeldraijer Central bureau of statistics, Bevolking trends 2014, Levensverwachting in Caribisch Nederland verschilt weinig met Nederland, March 2014  Servaas Houben, Longevity in the Caribbean - the end of la dolce vita?, The European Actuary, October 2015
  • 16. 16 About me Servaas Houben is managing the actuarial department of ENNIA in Willemstad, Curacao. He studied econometrics in the Netherlands and worked there for the first 4 years of his career. Thereafter, Servaas worked in Dublin and London. Besides actuarial, Servaas completed the CFA and FRM qualifications. Servaas regularly writes for his blog, CFA digest, and (actuarial) magazines. Email: servaashouben@gmail.com Blog: http://actuaryabroad.wordpress.com