The new fair value hierarchy: key provisions,
implications, and effect on information usefulness.
by Fornaro, James M.^Barbera, Anthony T.
Abstract
Statement of Financial Accounting Standards No. 157, Fair Value
Measurements, introduces a fair value hierarchy that prioritizes the
data companies use for such measurements. The new hierarchy, together
with additional footnote disclosures, is expected to improve existing
practices concerning fair value reporting. This paper examines the key
provisions of the fair value hierarchy and assesses its impact on the
usefulness of reported financial information. The hierarchy's
influence on the external auditor's role is also discussed.
Introduction
Statement of Financial Accounting Standards No. 157, Fair Value
Measurements (SFAS 157), standardizes existing practices companies use
to measure assets and liabilities at fair value [5]. Appendix D to the
Standard lists over 60 accounting pronouncements that refer to various
aspects of fair value reporting, but many contain conflicting or limited
implementation guidance. The volume of pronouncements mentioning fair
value is evidence of the gradual, but relentless, shift away from the
long-standing historical cost (or transaction-based) system [7].
The shift results from increased emphasis by standards setters on
the relevance of information provided to financial statement users, over
its reliability. The standard introduces a three-level fair value
hierarchy that prioritizes the quality and reliability of information
used to develop such measurements, and expands disclosure of specific
fair value information by level within this hierarchy. These
requirements should help financial statement users better assess the
reliability of reported fair value information, determine the
consistency of its application, and improve comparability with other
companies.
This paper provides a brief overview of the major fair value
measurement principles in SFAS 157, followed by an examination of the
fair value hierarchy and its impact on financial reporting. The benefits
and criticisms of the hierarchy are discussed, and its impact on the
usefulness of fair value information for decision-making is assessed.
Finally, the hierarchy's likely influence on the external
auditor's role is also examined.
Overview of Fair Value Measurements in SFAS 157
SFAS 157 clarifies existing approaches to fair value measurements
currently dispersed throughout the accounting literature. The new
guidance has three main components, the goal of which is to standardize
the measurement and disclosure of the fair values of existing assets and
liabilities.
* First, SFAS 157 (par. 5) defines fair value as the price that a
company would receive to sell an existing asset or pay to transfer a
liability (i.e., an exit price) in an orderly transaction between third
parties (i.e., marketplace participants). In other words, fair value
measurements reflect assumptions that knowledgeable, independent market
participants would make to hypothetically price the asset or liability,
as opposed to relying on management's internal or entity-specific
assumptions.
* Second, SFAS 157 establishes a framework for companies to follow
when measuring assets and liabilities at fair value. This framework
includes the techniques or models companies use to compute fair value.
The three primary valuation techniques discussed in the standard are:
(1) the market approach, which generally uses quoted prices that are
readily available (e.g. the New York Stock Exchange); (2) the income
approach, which generally uses present value techniques to discount
future cash flows, or certain option-pricing models, and (3) the cost
approach, which generally represents current replacement cost. Although
SFAS 157 does not specify when a particular valuation technique should
be used, it does require that the technique(s) be appropriate in the
circumstances and applied on a consistent basis.
The accuracy and reasonableness of fair value measurements largely
depend upon the reliability of the data and assumptions used in these
techniques. Accordingly, SFAS 157 introduces a fair value hierarchy that
prioritizes these inputs into three levels. Highest priority (Level-1)
is given to observable unadjusted quoted prices in active markets for
identical assets or liabilities. Intermediate priority (Level-2) is
given to all other observable information. Lowest priority (Level-3) is
given to unobservable information. As explained in paragraph 30 of SFAS
157, Level-3 inputs are unobservable inputs for an asset or liability
(e.g., future cash flows and discount rates) that reflect the reporting
entity's own assumptions about the assumptions market participants
would use in pricing the asset or liability (including assumptions about
risk), if such information is available without undue cost and effort.
* Finally, SFAS 157 expands interim and annual disclosures about
fair value measurements. These disclosures include tables containing the
fair values of major categories of assets and liabilities, the level
within the hierarchy from which the measurements were derived, and gains
and losses recognized during the period. For valuations involving
Level-3 inputs, additional disclosures are required relative to the
other two levels in order to partially compensate for their weaker
reliability, as highlighted in the hierarchy below.
The Fair Value Hierarchy of Measurement Inputs
Information used to measure fair value can be derived from many
sources and varies as to the level of reliability. Reliability relates
to the degree of assurance capable of being obtained through
verification that information faithfully represents what it purports to
represent. Accounting methods and techniques used to measure information
contribute to its degree of reliability [6].
It is essential that fair value measurements be derived from data
and assumptions from the viewpoint of market participants. To highlight
differences in reliability and enhance the consistency and comparability
of fair value measurements, SFAS 157 establishes a hierarchy that
prioritizes the information (inputs) to fair value measurements. Inputs
are first categorized as either observable or unobservable. Observable
inputs reflect assumptions that market participants would make, based
upon market-based information from sources independent of the company.
Sources of observable inputs include the following:
1. Exchange Markets such as the New York Stock Exchange (NYSE);
2. Dealer Markets such as NASDAQ or other Over-the-Counter (OTC)
markets;
3. Brokered Markets such as real estate; and
4. Principal-to-principal market transactions which are privately
negotiated with little public information available.
Oftentimes, situations exist where little, if any, market activity
for the asset or liability exists at the measurement date. In such
cases, the use of unobservable inputs is permitted. However, management
must examine and consider assumptions that market participants would
make to price the asset or liability. These assumptions should be based
on the best information available in the circumstances, including a
company's internal data. For example, information to ascertain the
fair value of a specific operating division of a company is generally
not readily available in an active market. In this type of situation,
the fair value computation will likely require management to: (1) derive
assumptions concerning future cash flows from an external viewpoint and
(2) employ one or more valuation techniques. Such measurements are less
reliable than identifiable information or quoted prices in established
markets. In general, companies should "maximize the use of
observable inputs and minimize the use of unobservable inputs" to
their valuation models [5: par. 21].
The fair value hierarchy prioritizes these observable and
unobservable inputs into three categories, or levels, based on their
degree of reliability. The components of the hierarchy are summarized
below:
The Hierarchy and the Usefulness of Fair Value Information
Information Usefulness
The benefits of the fair value hierarchy to users of financial
information can be assessed from different perspectives. In general,
financial information is considered to be useful if it enhances
one's ability to make investment and credit decisions [6].
Furthermore, such information is considered "better" (i.e.,
more useful) primarily if it has more relevance and reliability.
Relevance refers to the capacity of information to "make a
difference" in the decision-making process. While useful
information must have both relevance and reliability to a minimum
degree, neither is the paramount characteristic of accounting
information [8].
Given the extent and complexity of existing fair value guidance,
the benefits of the hierarchy should be evaluated by assessing whether
it improves current theory and practice. Statement of Financial
Accounting Concepts No. 2, Qualitative Characteristics of Financial
Information (CON 2), provides guidance helpful in making this
assessment. First, the hierarchy should enhance the relevance and
reliability of fair value information for users. Relevance is enhanced
if the hierarchy improves a user's ability to make a decision
involving fair values compared to existing practice. In other words, the
information should help users to better assess a company's future
outcomes, confirm the results of prior expectations, and be available on
a timely basis. On the other hand, reliability is enhanced if users are
provided with fair value measurements that are more verifiable,
faithfully represented, and unbiased than they are under existing
practices.
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