1 / 17

What is a “Reasonable” Range?

What is a “Reasonable” Range?. Outline Range of what? For what purpose/use – Whose range? Transparent disclosure Uncertainty, conservatism and bias. Range of what?. Major issues in this area Outcomes vs. estimates? If estimates, what’s the measurement basis?

Télécharger la présentation

What is a “Reasonable” Range?

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. What is a “Reasonable” Range? • Outline • Range of what? • For what purpose/use – • Whose range? • Transparent disclosure • Uncertainty, conservatism and bias

  2. Range of what? • Major issues in this area • Outcomes vs. estimates? • If estimates, what’s the measurement basis? • Speculative outcomes • Range endpoints

  3. Outcomes vs. Estimates (part 1 - outcomes) • Range of “reasonable outcomes” • “Reasonable outcome” = “Reasonably likely”? • If so, this implies a confidence interval, • implies a distribution, • but not necessarily a complete distribution • Focuses on the middle of the distribution, not the tail, and middle should be more quantifiable

  4. Outcomes vs. Estimates (part 2 – estimates) • Range of estimates • Implies different opinions of what is likely • Not necessarily compatible to • “confidence interval” presentation • Doesn’t require a distribution • Not “what could happen”, but “what is reasonable to expect”.

  5. Measurement basis • What is a best estimate? • “Best estimate” of what? • Mean? • Mode? • Median? • Central tendency? • 75th percentile? • PML? • Mean plus one standard deviation • Could be any of the above, but does your audience know which one you’re estimating? Do you? • (Communication opportunity?)

  6. Speculative Outcomes • What is speculation? • If I can reliably quantify it, it isn’t speculation • Just because I can come up with a value, doesn’t mean it isn’t speculation. • N = N* × fp × fpm × ne × ng × fi × fc × fl × fm × fj × fme • “Drake’s Equation” • Key is reliable estimation. • Speculative outcomes may not be appropriate for inclusion in estimate • Common rule – book estimates, disclose but don’t book speculation

  7. Range Endpoints • “Reasonable” is not a black and white standard • This implies that the endpoints of a reasonable range are not exact or firm.

  8. For What Purpose/use? • The desired range may vary (or even be dictated) by the purpose/use. • (I.e., your options may be limited.)

  9. For What Purpose/use? – Part 1 • Internal communication • No “a priori” limitations • Find out what is expected • SEC filing • Range of reasonable estimates • How much are current earnings a function of judgment? • Range of outcomes • How much are future earnings at risk?

  10. For What Purpose/use? – Part 2 • Merger/acquistion • Buyer/seller may want to know many different things • Expected payments? • Worst case payouts? • Possible one year development? • other? • Find out what your audience wants • Commutation work • See Merger/acquisition discussion above

  11. Whose range? • Some choices • Reserving actuary’s • Management’s • Auditor’s • The role of the range depends on whose range it is.

  12. Whose range? – Reserving actuary’s? • Range of estimates • Aids management in determining their best estimate • Should include discussion of drivers for various pts in range • Possible input for appointed actuary’s analysis • Range of outcomes • Part of risk analysis

  13. Whose range? – Management’s? Auditor’s • Management’s range • Used for determining what to book • Auditor’s range • Used for determining reasonableness of management’s estimate (i.e., what was booked) • Concern is not whether management is continually booking near the low or the high of their range • Concern is instead whether they are moving around in their range from year to year. • (Note: Moving around in auditor’s range is not the same thing.)

  14. Transparent Disclosure – 4 major rules • Know your audience ! • Know your audience !! • Know your audience !!! • Your audience may not be fellow actuaries.

  15. Transparent disclosure – a few other suggestions • Be clear as to what kind of range it is • Outcome? Estimates? Estimates of what? • Be clear as to how reliable it is • Be ready for outcomes outside your previous range • May want to disclose that possibility in advance. • Be ready for misinterpretations (innocent and otherwise)

  16. Uncertainty, Conservatism & Bias • With all this uncertainty, shouldn’t I be a bit conservative in my numbers, and include a margin for adverse deviation in my range? • Are you adjusting for bias? Or adding bias? • Proposed GAAP – • “this framework does not include prudence or conservatism as desirable qualities of financial reporting information.” • Current GAAP thinking clearly favors neutrality (lack of bias) over conservatism

  17. Uncertainty, Conservatism & Bias – part 2 • Existing U.S. Stat. • (NAIC’s Emerging Accounting Issues Working Group – INT 01-28: Margin for Adverse Deviation in Claim Reserve) • “The working group reached a consensus that the concept of conservatism is inherent to the estimation of reserves and as such should not be specifically prohibited in the consideration of management’s best estimate. On the other hand, the working group does not believe there should be a specific requirement to include a provision for adverse deviation in claims as the application of estimates varies greatly from company to company and requires the careful judgement of management.” • Conclusion: • GAAP intends to prohibit any “bias”, • Stat. allows but doesn’t require upward bias.

More Related