Goodwill — An Example of Puzzle-Solving in Accounting

The nature of goodwill continues to be misunderstood by most accountants and confusion surrounding the measurement and reporting of goodwill persists. The rejection of official accounting standards on goodwill is a common occurrence. A dynamic open system perspective is used in this paper to re-examine the nature of goodwill. It is found that a meaningful economic interpretation can be developed for internally generated goodwill but not for 'purchased goodwill'. There is an inability to identify the stream of benefits specifically associated with goodwill arising on acquisition.     

An Emerging Market's Reaction to Initial Modified Audit Opinions: Evidence from the Shanghai Stock Exchange*

This study investigates the valuation effect of modified audit opinions (MAOs) on the emerging Chinese stock market. Here, the term MAO refers to both qualified opinions and unqualified opinions with explanatory notes. The latter can be considered an alternative form of a qualified opinion in China. The institutional setting in China enables us to find compelling evidence in support of the monitoring role of independent auditing as an institution. First, we find a significantly negative association between MAOs and cumulative abnormal returns after controlling for effects of other concurrent announcements. Further, results from a by‐year analysis suggest that investors did not reach negative consensus about MAOs' valuation effect until the second year, exhibiting the learning process of a market without prior exposure to MAOs. Second, we do not observe significant differences between market reaction to non‐GAAP‐ and GAAP‐violation‐related MAOs. Third, no significant difference is found between market reaction to qualified opinions and market reaction to unqualified opinions with explanatory notes.     

An Experimental Investigation of Approaches to Audit Decision Making: An Evaluation Using Systems‐Mediated Mental Models*

The objective of this research is to articulate a decision‐making foundation for the systems audit approach. Under this audit approach, the auditor first gains an understanding of the auditee's economic environment, strategy, and business processes and then forms expectations about its performance and financial reporting. Proponents of this audit approach argue that decision making is enhanced because the knowledge of the system allows the auditor to focus on the most important risks. However, there has not been an explicit framework to explain how systems knowledge can enhance decision making. To provide such a framework, we combine mental model theory with general systems theory to produce a hypothesis we refer to as a systems‐mediated mental model hypothesis. We test this hypothesis using experimental economics methods. We find that (1) subjects make systematic errors under the setting without an organizing framework provided by the systems information, and (2) the presence of an organizing framework results in lower reporting errors. Importantly, the organizing framework significantly enhances decision making in the settings where the environment changed. Establishing a decision‐making foundation for systems audits can provide an important building block that, in part, can contribute to the development of a more effective and efficient audit technology ‐ an important objective now when audits are facing a credibility crisis.     

Efficiency in the Forward Foreign Exchange Market: Weekly Tests of the Australian/US Dollar Exchange Rate January 1984-March 1987*

This paper examines the relationship which exists between the spot and forward Australian/US Dollar exchange rates for one-, three-and six-month contracts using weekly data over the period January 1984—March 1987. The paper splits the forward premium into a component due to risk and one which is due to a forecasting error, and this analysis is suggestive of a time-varying risk premium.     

COST PASS‐THROUGH IN DIFFERENTIATED PRODUCT MARKETS: THE CASE OF U.S. PROCESSED CHEESE*

In this paper, we estimate a mixed logit model for demand in the U.S. processed cheese market. The estimates are used to determine pass‐through rates of cost changes under different behavioral regimes. We find that, under collusion, the pass‐through rates for all brands fall between 21% and 31% while, under Nash‐Bertrand price competition, the range of pass‐through rates is between 73% and 103%. The mixed logit model provides a more flexible framework for studying pass‐through rates than the logit model since the curvature of the demand functions depends upon the empirical distribution of consumer types.     

Three‐Regime Asymmetric STAR Modeling and Exchange Rate Reversion

The breakdown of the Bretton Woods system and the adoption of generalized floating exchange rates ushered in a new era of exchange rate volatility and uncertainty. This increased volatility leads economists to search for economic models able to describe observed exchange rate behavior. In the present paper, we propose more general STAR transition functions that encompass both threshold nonlinearity and asymmetric effects. Our framework allows for a gradual adjustment from one regime to another and considers threshold effects by encompassing other existing models, such as TAR models. We apply our methodology to three different exchange rate data sets: one for developing countries and official nominal exchange rates, the second for emerging market economies using black market exchange rates, and the third for OECD economies.