Trading volume and firm-specific announcements: Implications for the market model

The market model is commonly used in finance to study events and to evaluate security performance. With daily data, it is not uncommon to find low R-squares, in the range 0–10%. Prior studies have attempted to improve the fit of the model by excluding observations associated with high trading volume. In this study, we compare the results of the high-volume-exclusion approach with the more direct firm-specific announcement exclusion approach. The announcement approach excludes observations associated with Wall Street Journal Index news items regarding the firm. By excluding the [−1,0] fays relative to such news in a sample of 68 firms, we find that R-squares increase significantly by about 5%. By excluding the days relative to earnings announcements only, R-squares increase by about 4%. These results are then compared to the high-volume-exclusion approach. It is found that this approach is more efficient as an 8% increase in R-squares is produced.The results of this study provide valuable evidence to empiricists by comparing the two approaches to improving the fit of the market model. The high-volume -exclusion approach provides higher R-squares. However, the relative efficiency of the two approaches should be balanced against the arguments for the methodologically correct approach. The advantage of using the firm-specific announcement exclusion approach is that there is more confidence of excluding only firm-specific movements from the estimation of the market model. It also allows a researcher to quickly and unambiguously identify the announcements and delete the corresponding observations. Furthermore, we find that about 50% of the improved fit, relative to the volume approach, can be accomplished by excluding earnings announcements. The methodological disadvantage of using the high-volume-exclusion approach is that it is affected not only by firm-specific announcements but also by other factors, such as the heterogeneity of investor expectations. These factors may influence the choice of using firm-specific announcements rather than the high-volume approach despite the lower increment in R-squares.     

Does participation in the conservation reserve program impact the economic well‐being of farm households?

This study uses U.S. farm household survey data to examine how participation in the Conservation Reserve Program (CRP) affects farm household economic well-being. Further, the study also examines the effects of CRP participation on farm household consumption, income, and imputed savings. In contrast to previous studies that assume the relationships are homogenous across the population, quantile regression is used to investigate the association between CRP participation across the entire distribution of farm household consumption and income. Empirical findings suggest that the effect of CRP participation on household economic well-being differs across the income and consumption distribution. For households in the lower percentiles of the distribution, the CRP participation is associated with an increase in household consumption, but a decrease in farm household income and savings. In contrast, farm households at the median and higher income and consumption quantiles, participation in CRP is associated with lower levels of household consumption and income, but with higher levels of savings.     

Redesigning the human resources function at Lafarge

This article describes the detailed process of redesigning and implementing the human resources (HR) function at Lafarge. The article argues that a well‐articulated and integrated approach of (1) recruitment, selection, and induction, (2) retraining and redeployment, (3) a performance appraisal system, (4) a compensation and reward mechanism, and (5) rightsizing and (6) integration is required to be aligned with the overall business strategy of the organization. It also reinforces that the foundation of a value‐added HR function is a business strategy that relies on people as a source of competitive advantage. Key challenges for Lafarge in the future include (1) maintaining the change momentum, (2) fast and effective integration of acquired companies and transfer of “best practices,” and (3) attracting and retaining a diverse workforce through their internationalization program. © 2004 Wiley Periodicals, Inc.     

Rezensionen

Ohne Zusammenfassung     

Inventory of differential items selling from two shops under a single management with periodically increasing demand over a finite time-horizon

Inventories of differential items including the defective ones purchased/produced in a lot and sold from two shops (primary and secondary shops) under a single management are considered here over a finite time-horizon. A primary shop receives the differential units in a lot but sells only the non-defective ones whose demand periodically increases with time and decreases during the shortage period in such a way that it comes back to the initial value at the beginning of the next cycle. Hence in this shop, shortages are allowed and fully backlogged. Moreover, at the beginning of the next cycle, the retailer purchases purely non-defective units at a higher price to meet up the shortage amount along with the usual lot of differential units for regular sale. The defective units identified at the time of selling at the primary shop are continuously transferred to the adjacent secondary shop from which the defective ones are sold at a reduced price after some rework. Normally, the price of a defective item is fixed depending upon the quantum of its defect and people go for these items if they are cheap. Hence, demand for these units is dependent on the selling price, which is again inversely proportional to the rate of defectiveness. There may be five scenarios for dealing with defective units depending upon the coincidence of the time periods at two shops. For all scenarios, problems have been mathematically formulated and solved by the use of both parametric study and a gradient-based non-linear optimisation method. The models are illustrated with the help of numerical examples.     

Does purchasing power parity survive political shocks in South Africa?

Does Purchasing Power Parity Survive Political Shocks in South Africa? — The objectives of the paper are to examine the Purchasing Power Parity (PPP) hypothesis for the South African economy during the period 1975–1994 using high-frequency data. The analysis is conducted both for the entire period and also for different subperiods in order to take into account possible structural changes. For the rand/ dollar exchange rate, the authors find on the basis of a unique long-run cointegrating relationship that there is significant evidence supporting the PPP hypothesis for the entire period. The use of nonlinear least squares and Johansen-Juselius procedures is made to reach the above conclusion.     

Borrower runs

Microfinance institutions and other lenders in developing countries rely on the promise of future loans to induce repayment. However, if borrowers expect that others will default, and so loans will no longer be available in the future, then they will default as well. We refer to such contagion as a borrower run. The optimal lending contract must provide additional repayment incentives to counter this tendency to default.     

Internationalization of R&;D in China and India: Conventional wisdom versus reality

In spite of a growing trend of foreign research and development (R&;D) investment in China and India, academic research in this field has not kept pace. To what extent are opportunities and challenges of managing R&;D different in these countries from those in the West? By drawing on academic literature as well as press articles on this topic, we compare and contrast what the conventional wisdom suggests and what the realities are in China and India. We suggest that multinational corporations (MNCs) should not forget the conventional wisdom of managing their innovative R&;D policies but should also learn from the unique challenges and capabilities in China and India.