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Machine Reserving DIY

ASM 5th General Insurance &

Takaful Actuarial Seminar

Teh Loo Hai

16 June 2015

Motivation

2 www.actuaries.com.my

Motivation


Handwritten digit classification

[Courtesy of Yann LeCun] Standford Machine Learning – Andrew Ng

Begin with the End in Mind


DIY Tools

and Design


Tools

• Programming Language

• Database

• User Interface


Choice of Tools - Options

Programming Language

• VBA

• C++

• R

• Python

• Matlab / Octave

Database

• Microsoft Access

• MySQL

• Foxpro

User Interface

• csv

• Excel

• Word

• pdf


Choice of Tools - Considerations

Programming language

• Modern

• Object Oriented

• Easy to learn

• Good support

• Cost

Database

• Scalability

• Corporate policy

• Cost

User Interface

• GUI

• Easy to use

• Seamless integration with other tools



Common Design

Design

• Good design

– Input

– Formulae

– Output

– Locked cells

– Colour coded


Design


Achieving

Our Goals


Data Processing – Source Data

• Raw data from IT and Finance

– EP UPR (Forms G6-1, GT5)

– Movement (SMCD, GT6-3)


Data Processing – Old Way

• Extract data

– Links in Excel

– Copy and paste

• Check data


TAS Insurance Berhad Appendix C

IBNR Claims Reserves as of 31 December 2015 (Net of Reinsurance)

Line of Business: Fire

Cumulative Case Incurred Claims (RM)

Accident

Years 1 2 3 4 5 6 7 8 9 10

1999 215,866 871,110 928,106 930,550 934,611 934,813 934,858 935,186 935,186 935,186

2000 767,646 1,166,909 1,267,393 1,280,629 1,282,589 1,284,484 1,284,733 1,291,834 1,291,834 1,291,834

2001 782,381 1,607,080 1,632,763 1,657,273 1,666,970 1,678,659 1,678,978 1,679,351 1,679,551 1,688,814

2002 665,999 2,100,588 2,121,569 2,183,857 2,185,328 2,186,078 2,186,182 2,186,284 2,187,124 2,187,180

2003 1,022,481 2,111,509 2,199,423 2,201,940 2,202,435 2,203,168 2,203,467 2,203,484 2,203,486 2,203,698

2004 1,373,693 2,358,457 2,400,493 2,401,215 2,406,367 2,435,974 2,437,065 2,437,066 2,438,381 2,438,579

2005 1,225,050 2,120,952 2,139,366 2,140,661 2,139,161 2,139,263 2,139,265 2,145,751 2,145,876 2,145,876

2006 771,585 2,163,239 2,249,387 2,274,637 2,347,728 2,346,574 2,346,689 2,347,018 2,426,424 2,426,424

2007 1,220,201 2,176,725 2,259,247 2,272,395 2,276,744 2,286,908 2,288,388 2,295,798 2,301,598

2008 1,282,605 3,186,543 3,409,922 3,575,135 3,577,580 3,578,484 3,628,339 3,628,343

2009 1,712,756 3,367,208 3,411,042 3,466,220 3,554,236 3,564,663 3,574,632

2010 1,802,255 3,493,096 3,591,755 3,603,286 3,603,868 3,612,691

2011 2,098,531 3,523,062 3,687,143 3,692,780 3,695,161

2012 1,709,421 3,167,251 3,260,509 3,280,668

2013 1,760,948 3,249,338 3,414,481

2014 2,425,184 4,322,212

2015 2,258,609

Years of Development

Data Processing – Ideal Way

• Extract data

• Check data


Data Processing – Under the Hood

• readin = pd.io.sql.frame_query(‘’.join(q), cnx)

• err1 = pd.concat([readin[readin.cuincur < 0],

[readin[readin.cupaid < 0])

• err1.pr2xl(sh)

• err2 = readin[readin.cuincur < readin.cupaid]

• err2.pr2xl(sh)


IBNR – Old Way


• Extend runoff

triangle

• Choose link ratios,

loss ratios

• Print

spreadsheets

• Repeat for

another class

IBNR – Ideal Way


IBNR – Under the Hood

• movm = gipy.Movm.fromdb(cmpy.constr, …)

• movm = gipy.Movm.fromXl(xlfile, …)

• devfact = gipy.Devfact(movm, weighted=True, …)

• linkratios = gipy.Linkratios(method, movm, devfact, …)

• movm.proj(linkratios)

• movm.qtr2yr(inplace=True)

• movm.pr2xl(sh)


Reporting – Old Way vs Ideal Way

Old Way

Summary spreadsheet

linking all results

Make sure links updated

correctly


Ideal Way

Specify runtime

parameters

Nicely formatted tables as

output

Reporting – Under the Hood

• tbl[‘becl’] = db.retr_becl(cmpy.constr, …)

• tbl[‘pradpc’] = db.retr_pradpc(cmpy.constr, …)

• tbl[‘prad’] = tbl.becl * tbl.pradpc

• fprad_tot = max(sum(tbl.becl) * pradpc[‘Total’],

0.5 * sum(tbl.prad))

• tbl[‘fprad’] = tbl.prad * fprad_tot / sum(tbl.prad)

• tbl[‘cl’] = tbl.becl + tbl.fprad


Are We There Yet?


Way Forward – Scaling New Heights

• Depth

– Data frequency

– Individual data

• Width

– Budget

– Stress Test

– DST

– ITCL


[email protected]


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