Acquisitions in the biopharmaceutical IPO market: Collaboration,competition and co‐opetition

The present paper explores the little studied area concerning the acquisition of recent biopharmaceutical initial public offering firms. We examine the nature of the relationship between the acquiring firm and the acquired initial public offering firm prior to the acquisition and from the perspective of the resource‐based view. We find to some extent that firm specific‐resources affect the prospect that the firm will be acquired. Furthermore, our findings show that firms with more of these types of resources are likely to be acquired by firms engaged in co‐opetition rather than by firms engaged solely in collaboration, competition, or (to a limited extent) with no prior relationship.     

Teaching information technology alongside business analytics: Case study

Business analytics can be described as the statistical analysis of data to make decisions and meaningful conclusions. As the demand to advance the curriculum of undergraduate business education increases, courses in business analytics aim to provide students with fundamental skills in critical thinking. Educators have found that spreadsheet applications that include statistical features are easy to use and facilitate student learning. The authors analyzed student performance in an introductory business analytics course that used Microsoft Excel as a statistical tool by comparing scores from this introductory course with those from an information technology course in which only Excel skills were learned.     

Does Hedging Affect Firm Value? Evidence from the US Airline Industry

Does hedging add value to the firm, and if so, is the source of the added value consistent with hedging theory? We investigate jet fuel hedging behavior of firms in the US airline industry during 1992–2003 to examine whether such hedging is a source of value for these companies. We illustrate that the investment and financing climate in the airline industry conforms well to the theoretical framework of Froot, Scharfstein, and Stein (1993). In general, airline industry investment opportunities correlate positively with jet fuel costs, while higher fuel costs are consistent with lower cash flow. Given that jet fuel costs are hedgeable, airlines with a desire for expansion may find value in hedging future purchases of jet fuel. Our results show that jet fuel hedging is positively related to airline firm value. The coefficients on the hedging variables in our regression analysis suggest that the “hedging premium” is greater than the 5% documented in Allayannis and Weston (2001), and might be as large as 10%. We find that the positive relation between hedging and value increases in capital investment, and that most of the hedging premium is attributable to the interaction of hedging with investment. This result is consistent with the assertion that the principal benefit of jet fuel hedging by airlines comes from reduction of underinvestment costs.     

A comparative study of the probability of default for global financial firms

This article presents a modification of Merton’s (1976) ruin option pricing model to estimate the implied probability of default from stock and option market prices. To test the model, we analyze all global financial firms with traded options in the US and focus on the subprime mortgage crisis period. We compare the performance of the implied probability of default from our model to the expected default frequencies based on the Moody’s KMV model and agency credit ratings by constructing cumulative accuracy profiles (CAP) and the receiver operating characteristic (ROC). We find that the probability of default estimates from our model are equal or superior to other credit risk measures studied based on CAP and ROC. In particular, during the subprime crisis our model surpassed credit ratings and matched or exceeded KMV in anticipating the magnitude of the crisis. We have also found some initial evidence that adding off-balance-sheet derivatives exposure improves the performance of the KMV model.     

Founding Family Firms,CEO Incentive Pay,and Dual Agency Problems

This paper contributes to the literature on agency theory by examining relations between family involvement and CEO compensation. Using a panel of 362 small U.S. listed firms, we analyze how founding families influence firm performance through option portfolio price sensitivity. Consistent with the dual agency framework, we find that family firms have lower CEO incentive pay, which is further reduced by higher executive ownership. Interestingly, such incentive pay offsets the positive impact that families have on firm valuation. Collectively, our results show that, compared with nonfamily firms, lower incentive pay adopted by family firms due to lower agency costs mitigates the direct effect of family involvement on firm performance. Once accounting for CEO incentive pay, we do not observe performance differences between family and nonfamily firms.     

Getting the word out: Enforcement information dissemination and compliance behavior

The question for the tax authority is how individuals become aware of enforcement effort. To be an effective tool in reducing tax evasion taxpayers must be aware of the current audit and penalty regime. We use laboratory experiments to examine the compliance impact of types of information dissemination regarding audit frequency and results. The information includes “official” information disseminated by the tax authority, and “unofficial”, or informal, communications among taxpayers. Our results indicate that the effect of the type of post-audit information is conditional on whether the taxpayer is well informed of the audit rate prior to filing. We find that the tax authority would be served by pre-announcing audit rates credibly and by emphasizing the previous period audit frequency in annual reporting of enforcement effort.     

The January effect across volatility regimes

Using a Markov regime switching model, this article presents evidence of the well-known January effect on stock returns. The specification allows a distinction to be drawn between two regimes: one with high volatility and another with low volatility. We obtain a time-varying January effect that is, in general, positive and significant in both volatility regimes. However, this effect is larger in the high-volatility regime. In sharp contrast with most of the previous literature, we find two major results: (1) the January effect exists for all sizes of portfolio; (2) the negative correlation between the magnitude of the January effect and portfolio size fails across volatility regimes. Moreover, our evidence supports a slight decline in the January effect for all sizes of portfolio except the smallest, for which it is even larger.     

An empirical analysis of the association between the use of executive support systems and perceived organizational competitiveness

A synthesis of management control theory suggests four major categories of use for management information: (1) score keeping, (2) improving individual understanding, (3) focusing organizational attention and learning, and (4) legitimizing decisions. A field study was undertaken to determine if these uses form a robust typology for classifying executive use of management information, and how useful each is perceived to be in enabling organizations’ competitiveness. The results of the study indicate that different uses have substantively different effects on perceptions of whether or not competitiveness is enabled. The study lends credence to the position that control and power, to a large extent, drive the perceptions of benefits associated with using management information in organizations.     

Analyst forecasts and price discovery in futures markets: The case of natural gas storage

We investigate analyst forecasts in a unique setting, the natural gas storage market, and study the contribution of analysts in facilitating price discovery in futures markets. Using a high‐frequency database of analyst storage forecasts, we show that the market appears to condition expectations regarding a weekly storage release on the analyst forecasts and beyond that of various statistical‐based models. Further, we find that the market looks through the reported consensus analyst forecast and places differential emphasis on the individual forecasts of analysts according to their prior accuracy. Also, the market appears to place greater emphasis on analysts' long‐term accuracy than on their recent accuracy. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:451–477, 2009