Friedland09.BornFerg

Reading: Friedland, J.F., Estimating Unpaid Claims Using Basic Techniques, Casualty Actuarial Society, Third Version, July 2010. The Appendices are excluded.

Chapter 9: Bornhuetter-Ferguson Method

BattleTable

Based on past exams, the main things you need to know (in rough order of importance) are:

• fact A...
• fact B...

reference	part (a)	part (b)	part (c)	part (d)
E (2019.Spring #17)	ultimate: - reported B-F	ultimate: - reported B-F	combining data: - argument against
E (2019.Spring #19)	ultimate claims: - rptd devlpt (tort reform)	ultimate: - reported B-F (tort reform)
E (2018.Spring #17)
E (2018.Spring #19)
E (2017.Spring #18)	Friedland08.ExpectedClms	unpaid & IBNR: - reported B-F
E (2016.Fall #21)	IBNR: - B-F method	ECR assumption: - assess reasonableness	alternate method: - recommend & justify
E (2016.Spring #16)	Friedland08.ExpectedClms	Friedland07.Development	ultimate: - paid B-F
E (2015.Fall #18)	ultimate: - reported B-F	CDFs < 1.0: - does B-F still work?
E (2015.Spring #19)	ultimate: - reported B-F	selected ultimates: - discuss appropriateness	ultimate: - Benktander	unpaid: - explain Benktander iterations
E (2014.Fall #18)	IBNR: - Benktander	credibility weighting: - explain Benktander
E (2014.Spring #14)	ultimate: - reported B-F	rptd B-F vs rptd dvlpt: - situations where equal	rptd B-F vs rptd dvlpt: - where is B-F better
E (2013.Fall #17)	unpaid: - Benktander	unpaid: - Benktander 1000 iterations
E (2013.Spring #4)	ultimate: - reported B-F
E (2013.Spring #18)	key assumption: - B-F method	credibility-weighting: - explain for B-F	credibility-weighting: - violation of assumption	(d) paid vs rptd B-F for rising LRs (e) B-F vs Cape Cod

In Plain English!

Example A: Intro to BF Method

The following information is as of Dec 31, 2023. Calculate the ultimate for AY 2023 using the reported Bornhuetter-Ferguson method.

EP	1,000
ECR	65%
reported claims12	375
reported CDF12→ult	1.4

First, note how easy it is to calculate the ultimate using the reported development method:

• Ult_r-Dev   =   375 x 1.4   =   525

And the ultimate for the ECR method is equally easy:

• Ult_ECR   =   65% x 1,000   =   650

The reported BF method is just a weighted average of these where the weight, z, given to the reported development method is:

z   =   %reported   =   1/CDF

So,

• z   =   1 1/CDF_12→ult   =   1/1.4   =   0.714

and therefore,

• Ult_r-BF   =   [ 0.714 x 525 ] + [ (1 – 0.714) x 650 ]   =   561

Actually, there's a simpler but equivalent formula for the BF ultimate:

Ultr-BF   =   (reported claims) + %unreported x UltECR   =   (reported claims) + (1 – 1/CDF) x UltECR

The proof that these formulations of the BF method are equivalent is not likely to be asked on the exam but you can click the link if you'd like to see it. It's easy. And it's helpful to understand the interpretation of the BF method as a weighted average of the development and ECR methods. Anyway, let's verify that this simpler formula gives the same result.

• Ult_r-BF   =   (reported claims) + %unreported x Ult_ECR   =   375 + (1 – 1/CDF) x 650   =   375 + (1 – 1/1.4) x 650   =   561

Here's a straightforward exam problem on the ECR and reported BF methods. Note that you have to choose LDFs so you might not get exactly the same answer as in the examiner's report. You just have to make sure you make reasonable selections and write a short phrase to justify your choices. In this problem, the triangle is so small that unless there is an obvious outlier in the LDF triangle is should be ok to select an all period weighted average.

E (2017.Spring #18)

There's also a paid version of the BF method and it works exactly like the reported version. Just substitute paid amounts in place of reported amounts, and the paid CDF in place of the reported CDF. (The ultimate for the ECR method would be the same for both the paid and reported BF methods.)

Ultp-BF   =   (paid claims) + %unpaid x UltECR   =   (paid claims) + (1 – 1/CDF) x UltECR

mini BattleQuiz 1 You must be logged in or this will not work.

Example B: Tort Reform with the BF Method

We're going to take a quick look at a BF method problem that requires an extra adjustment fortort reform. The key is precisely understanding the effect of the tort reform and how to properly adjust for it in your calculation. You'll see it's different (easier actually) from how you adjust for tort reform with the ECR method.

Recall that the ultimate loss is the sum of the paid and unpaid loss. Suppose you're given:

• unpaid = 1,000
• paid = 400

Then the ultimate loss is 1,000 + 400 = 1,400. Now, if tort reform is introduced and expected to reduce all future paid amounts by 15% then:

• adjusted unpaid = 1,000 x (1 - 15%) = 850 (remember that unpaid is the same thing as future paid)

So taking into account tort reform, the adjusted ultimate loss is 850 + 400 = 1,250. Here are a couple of practice problems based on this idea:

Practice: 2 problems on BF method with tort reform

Here's a exam problem just like the tort reform practice problems:

E (2019.Spring #19)

Example C: Benktander Variation on BF

The Benktander method is an iterative method and is a very simple extension of the BF method. Recall the formula for the reported BF method:

• Ult_r-BF   =   (reported claims) + (1 – 1/CDF) x Ult_ECR

The Benktander variation looks almost the same except you substitute Ult_r-BF for Ult_ECR on the right side.

UltBenk   =   (reported claims) + (1 – 1/CDF) x Ultr-BF

Let's calculate the Benktander estimate of ultimate using our example from Intro to BF Method. The first step is to calculate the "normal" reported BF ultimate:

• Ult_r-BF   =   (reported claims) + %unreported x Ult_ECR   =   375 + (1 – 1/CDF) x 650   =   375 + (1 – 1/1.4) x 650   =   561

Then we take the result, 561, and substitute it into the Benktander formula:

• Ult_Benk   =   375 + (1 – 1/CDF) x 561   =   535

The Benktander method is called an iterative method because you can continue indefinitely. Just take the the result on the left side of the equation:

• next iteration Ult_Benk   =   375 + (1 – 1/1.4) x 535   =   528

• next iteration Ult_Benk   =   375 + (1 – 1/1.4) x 528   =   526

Pop Quiz A!    :-o

• What answer do you get if you apply the iterative Benktander approach an infinite number of times? Click for Answer 

POP QUIZ A ANSWER

→ Continued application of the Benktander method converges to the development method estimate of ultimate. In this case, 525.

• You can prove this algebraically but it's easier to understand conceptually. Recall the reported BF ultimate is a weighted average between the development method and the ECR method. For our example we had:

Ult_r-Dev   <   Ult_r-BF <   <   Ult_ECR

• By the same reasoning, the first iteration of Benktander is a weighted average of the development method and the BF method so we have:

Ult_r-Dev   <   Ult_Benk   <   Ult_r-BF   <   Ult_ECR

• And again, the next iteration of Benktander will be a weigthed average of the development method and the first iteration of Benktander:

Ult_r-Dev   <   next iteration Ult_Benk   <   Ult_Benk   <   Ult_r-BF   <   Ult_ECR

→ You can see what's happening: Each successive iteration of Benktander is squeezed between the previous iteration and the development method. The result is that is must converge to the development method estimate. (If the development method had originally been lower than the ECR method, then the inequalities would be reversed but the reasoning is the same.)