May 1, 2004
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Part I
  A Guide to Understanding FAS 133 Effectiveness Testing: Part I
  Introduction
  Why Effectiveness Matters
  Matched Timing
  Measuring Effectiveness
  Effectiveness in Net Investment Hedges
  When Does Effectiveness Matter?
  Case Study: Shell International
  Part II
The Ripple Effect with Prospective Effectiveness Problems Involving IAS 39
November 21, 2003
A Guide to Understanding FAS 133 Effectiveness Testing: Part 2
March 26, 2001
Effectiveness Is Back For DIG’s Dec. Meeting
December 9, 1999
DIG Sheds New Light Despite Power Outage
October 22, 1999
Will They or Won’t They?  
September 16, 1999
Derivatives Accounting (FAS 133/IAS 39)
A Guide to Understanding FAS 133 Effectiveness Testing: Part I
March 23, 2001

Measuring effectiveness

There are two basic effectiveness test, and two basic methodologies for testing effectiveness discussed in FAS 133 and outlined in subsequent guidance by the Derivatives Implementation Group (DIG).

Prospective and actual

“DIG Issue E7 clarifies that an entity must assess effectiveness in two ways,” notes Tony Capozzoli with Bank of America Global Risk Analysis. “It must consider how the hedge may perform in the future (prospective) and it must evaluate how the hedge has performed in the past (retrospective or actual.)” The prospective assessment determines whether or not the company can designate the hedge and hedged item in a hedging relationship. If there’s no expectation of highly effective offset, there’s no hedge accounting. Retrospective, or actual assessment examines how the relationship fared over the past quarter or since the inception of the hedge. “If the retrospective test is failed, hedge accounting will not apply to that quarter,” Mr. Capozzoli says.

Dollar offset & statistical

In general, there are two ways to assess or measure effectiveness: Dollar offset and statistical analysis.

“The dollar offset ratio is simply the change in the fair value of the hedge instrument as specified in the documentation by the change in the fair value of the hedged item’s hedged risk,” notes Jeffrey Wallace, managing director at Greenwich Treasury Advisors. Hedgers can look at the change in value on a period-by-period basis, or cumulatively from the hedge’s inception. “This ratio, typically calculated as a percent, should be within a user-specified floor and ceiling,” The most common range is referred to as the 80-120% or 80-125% rule. It’s not really a rule. It’s more of an evolving market practice and a carry over from the old days of FAS 80 (more on this below).

Statistical analysis is a rather vague term. Again, the FASB does not dictate a particular method. "There are no standards in place yet," notes Deveaux Barron, director of client services for Principia Partners, a software vendor. "Each client can interpret the regulations in a way that is appropriate for their business, and system flexibility is key to that process. Many of our clients are waiting to see which test gives them the most favorable result, as well as whether their March-end numbers are approved by their auditors," she says. "Although currently we see regression as the most popular, users are beginning to examine the ‘Volatility Reduction Method’ (VRM)."

Hedgers can decide to use dollar offset or their statistical method of choice for either the actual or prospective analysis, and they don’t need to choose the same methodology for both. However, once a decision is made, the methodology cannot be changed for the life of the hedge. Also, the FASB directs companies to use similar methodologies for similar hedges.

In general, if a hedge fails the actual test for a period, there’s no hedge accounting for that period. However, if the hedge continues to show good promise when tested prospectively (i.e., there’s still an expectation of high correlation), the company may redesignate the hedge at the next period.

In practice, notes Brian May, senior manager with Arthur Andersen, it’s unlikely that many hedges would fall out of bed and still look like effective hedges going forward. Mr. May’s feeling is that hedgers will have a hard time making a case for re-designating the hedge by arguing that whatever generated the ineffectiveness is not going to repeat itself or happen again. Using cumulative dollar offset or regression analysis (or other statistical method) may lower the chances of failing the retrospective test on a quarterly basis. Still, even with these latter methods, it’s important to remember that if a hedge is 80% effective, the 20% of change in its fair value still needs to be recognized in income, currently.

In addition, to meet the effectiveness requirements, it will often be necessary to exclude a certain portion of the derivatives fair value, for example forward points or time value. Those excluded portions must be recognized in income on a current basis as well. So while the test may give an “effective” answer, there still may be significant volatility in the income statement.

DIG issues E7 and E8 form the core of the current effectiveness guidance.


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