Shooting fish in the barrel? Examining the standard test of the Lucas variability hypothesis

The LVH (Lucas variability hypothesis) says that the reaction of real output to changes in nominal demand depends negatively upon the variability of the rate of change of nominal demand. The LVH was first proposed as a testable prediction from R. E. Lucas' 1973 model of the business cycle – known as the misperceptions model. The LVH has frequently been successfully tested on cross-country data sets. We first replicate the standard test result. We then proceed to show that the test suffers from the problem that the same LVH-test result appears – qualitatively and quantitatively – even in models having the reverse causal structure, from the one assumed by Lucas. We have consequently shown that the LVH-test is developed within a framework where it is hard to miss -hence the title.     

The Stability and Instability of Organic Expenditures in Denmark,Great Britain,and Italy

This article concerns demand for organic foods in 3 European countries: Denmark, Great Britain, and Italy. Based on extensive sets of household panel data we categorize households into 4 groups according to their levels of organic consumption. Importance of sociodemographics is estimated by applying multinomial logit models. In all 3 countries a high organic consumption is mainly found among the more well-situated households in urban areas. Although the relative size of the user groups is fairly stable over time, we find variation in the organic consumption of individual households.     

The Stewardship Role of Analyst Forecasts,and Discretionary Versus Non-discretionary Accruals

We examine the interaction between discretionary and non-discretionary accruals in a stewardship setting. Contracting includes multiple rounds of renegotiation based on contractible accounting information and non-contractible but more timely non-accounting information. We show that accounting regulation aimed at increasing earnings quality from a valuation perspective (earnings persistence) may have a significant impact on how firms rationally respond in terms of allowing accrual discretion in order to alleviate the impact on the stewardship role of earnings. Increasing the precision of more timely non-accounting information (analyst earnings forecasts) increases the ex ante value of the firm and reduces costly earnings management. There is an optimal level of reversible non-discretionary accrual noise introduced through revenue recognition policies. Tight rules-based accounting regulation, as opposed to leaving firms more choice over non-discretionary accrual policies, may lead firms to rationally respond by inducing costly earnings management. More generally, regulating both earnings persistence and the tightness of admissible auditing policies may not result in less equilibrium earnings management.     

Consumption-based equity valuation

Using a CCAPM-based risk-adjustment model, we perform yearly valuations of a large sample of stocks listed on NYSE, AMEX, and NASDAQ over a 30-year period. The model differs from standard valuation models in the sense that it adjusts forecasted residual income for risk in the numerator rather than through a risk-adjusted cost of equity in the denominator. The risk adjustments are derived based on assumptions about the time-series properties of residual income returns and aggregate consumption rather than on historical stock returns. We compare the performance of the model with several implementations of standard valuation models, both in terms of median absolute valuation errors (MAVE) and in terms of excess returns on simple investment strategies based on the differences between model and market prices. The CCAPM-based valuation model yields a significantly lower MAVE than the best performing standard valuation model. Both types of models can identify investment strategies with subsequent excess returns. The CCAPM-based valuation model yields time-series of realized hedge returns with more and higher positive returns and fewer and less negative returns compared with the time-series of realized hedge returns based on the best performing standard valuation model for holding periods from 1 to 5 years. In a statistical test of 1-year-ahead excess return predictability based on the models’ implied pricing errors, the CCAPM-based valuation model is selected as the better model. Using the standard series of aggregate consumption and the nominal price index, a reasonable level of relative risk aversion, and calibrated growth rates in the continuing value at each valuation date, the CCAPM-based valuation model produces small risk adjustments to forecasted residual income and low continuing values. Compared with standard valuation models, it relies less on estimated parameters and speculative elements when aggregating residual earnings forecasts into a valuation.     

Accounting Policies in Agencies with Moral Hazard and Renegotiation

We emphasize the role of accounting policies, and their audit, in an earnings management setting. We use a two–period agency in which three frictions interact: the agent privately observes action (or effort) supply and output, and the initial contract is subject to renegotiation. This creates a setting in which both players' behavior is of concern, and, importantly, information rationing is efficient. Moreover, this information rationing is directly interpretable as being produced by an accounting policy whose application is ensured by an auditor.     

Making strategy: learning by doing

Companies find it difficult to change strategy for many reasons, but one stands out: strategic thinking is not a core managerial competence at most companies. Executives hone their capabilities by tackling problems over and over again. Changing strategy, however, is not usually a task that they face repeatedly. Once companies have found a strategy that works, they want to use it, not change it. Consequently, most managers do not develop a competence in strategic thinking. This Manager's Tool Kit presents a three-stage method executives can use to conceive and implement a creative and coherent strategy themselves. The first stage is to identify and map the driving forces that the company needs to address. The process of mapping provides strategy-making teams with visual representations of team members' assumptions, those pictures, in turn, enable managers to achieve consensus in determining the driving forces. Once a senior management team has formulated a new strategy, it must align the strategy with the company's resource-allocation process to make implementation possible. Senior management teams can translate their strategy into action by using aggregate project planning. And management teams that link strategy and innovation through that planning process will develop a competence in implementing strategic change. The author guides the reader through the three stages of strategy making by examining the case of a manufacturing company that was losing ground to competitors. After mapping the driving forces, the company's senior managers were able to devise a new strategy that allowed the business to maintain a competitive advantage in its industry.     

Nonprofit Lobbying: Museums and Collections Capitalization

This research examines the museum characteristics associated with lobbying on the 1990 FASB Exposure Draft (FASB, 1990) that would have required US museums to capitalize their collections. A sample of 103 museums that lobbied on the Exposure Draft is compared to a matched sample of museums that did not choose to lobby. The results reveal that museums which lobbied are larger, older, and members of or accredited by the American Association of Museums. Also, proportionately more private museums and art museums than exist in the overall US museum population chose to lobby on the proposed requirement.     

A METHOD FOR PRICING AMERICAN OPTIONS USING SEMI‐INFINITE LINEAR PROGRAMMING

We introduce a new approach for the numerical pricing of American options. The main idea is to choose a finite number of suitable excessive functions (randomly) and to find the smallest majorant of the gain function in the span of these functions. The resulting problem is a linear semi‐infinite programming problem, that can be solved using standard algorithms. This leads to good upper bounds for the original problem. For our algorithms no discretization of space and time and no simulation is necessary. Furthermore it is applicable even for high‐dimensional problems. The algorithm provides an approximation of the value not only for one starting point, but for the complete value function on the continuation set, so that the optimal exercise region and, for example, the Greeks can be calculated. We apply the algorithm to (one‐ and) multidimensional diffusions and show it to be fast and accurate.