Managing a Portfolio of Interdependent New Product Candidates in the Pharmaceutical Industry

Highly regulated industries such as pharmaceuticals and agrochemicals face the challenge of maintaining a 0continuous stream of new products. This is difficult because of low probabilities of technical success, high development costs, uncertain market impact, a scarcity of good new product ideas, and limited human and capital resources available to develop them. The problem of evaluating and selecting which new products to develop and then of sequencing or of scheduling them is complicated further by the presence of dependencies between products both in the market place and in the development process itself. This study proposes a portfolio management approach that selects a sequence of projects, which maximizes the expected economic returns at an acceptable level of risk for a given level of resources in a new product development pipeline. A probabilistic network model of distinct activities is used to capture all the activities and resources required in the “process” of developing a new drug. A prioritization scheme suggesting sequences for developing new independent drug candidates with unlimited resources is generated with a conventional bubble chart approach. These sequences initiate a genetic algorithm (GA)‐based search for the optimal sequence in the presence of product dependencies and limited resources. By statistically evaluating the sequences generated during the GA search using a discrete event simulation model, it is possible to construct an economic reward‐risk frontier that illustrates the trade‐offs between expected rewards and risks. The model ideally is suited to answer various “what if” questions relative to changes in the resource level on pipeline performance. The methodology is illustrated with an industrially motivated case study, involving nine interdependent new product candidates targeting three diseases. The dramatic results yield a candidate sequence with an expected return 28 percent higher than the sequence suggested by the bubble chart approach at almost the same level of risk. The synergism among the candidate dependencies, pipeline resources, and economic and technical uncertainties demonstrates the necessity of a computationally intensive approach if the best development strategy is to be realized.     

Analyzing the gender pay gap

Empirical research on gender pay gaps has traditionally focused on the role of gender-specific factors, particularly gender differences in qualifications and differences in the treatment of otherwise equally qualified male and female workers (i.e., labor market discrimination). This paper explores the determinants of the gender pay gap and argues for the importance of an additional factor, wage structure, the array of prices set for labor market skills and the rewards received for employment in favored sectors. Drawing on our previous work we illustrate the impact of wage structure by presenting empirical results analyzing its effect on international differences in the gender gap and trends over time in the gender differential in the U.S.     

Short Selling and the Weekend Effect for NYSE Securities

Using short-sale transactions data, we examine the relation between short selling and the weekend effect. We do not find that short selling is more abundant on Monday than on Friday, even for stocks that have higher Friday returns. We find that short sellers execute more short-sale volume during the middle of the week, and that the positive correlation between short selling and returns on Monday is greater, on average, than the correlation on the other days of the week. Our results are robust to subsamples of stocks with larger weekend effects and stocks that do not have listed options.     

Signaling, Free Cash Flow and "Nonmonotonic" Dividends

Many argue that dividends signal future earnings or dispose of excess cash. Empirical support is inconclusive, potentially because no model combines both rationales. This paper does. Higher quality firms pay dividends to eliminate the free cash-flow problem, while firms that outsiders perceive as lower quality pay dividends to signal future earnings and reduce the free cash-flow problem. In equilibrium, dividends are nonmonotonic with respect to the signal observed by outsiders; the highest quality firms pay smaller dividends than lower perceived quality firms. The model reconciles the existing literature and generates new empirical predictions that are tested and supported.     

Short Interest and Frictions in the Flow of Information

This paper examines the correlation between short interest and price delay that parsimoniously measures the delay with which stock prices incorporate information. I find that price delay relates inversely to short interest indicating that short sellers reduce friction in the flow of information into stock prices. While price delay is shown to predict positive returns, this is mostly true in stocks with the least amount of short interest. Multivariate tests determine that the positive relationship between delay and future returns is decreasing in short interest. Results suggest that short sellers reduce delay and arbitrage the return premium commanded by delay.     

Enacting Ecological Sustainability in the MNC: A Test of an Adapted Value-Belief-Norm Framework

Undoubtedly, multinational corporations must play a significant role in the advancement of global ecological ethics. Our research offers a glimpse into the process of how goals of ecological sustainability in one multinational corporation can trickle down through the organization via the sustainability support behaviors of supervisors. We asked the question “How do supervisors in a multinational corporation internalize their corporation’s commitment to ecological sustainability and, in turn, behave in ways that convey this commitment to their subordinates?” In response, we created a theoretical framework for supervisor sustainability support behavior based on Stern et al., Human Ecology Review 6(2), 81-97 (1999) value-belief-norm (VBN) theory. We then tested our framework by performing a survey-based field study of supervisors in a multinational pharmaceutical company that has publicly professed a goal of ecological sustainability.     

Cloud Computing – A Classification, Business Models, and Research Directions

Lately, a new computing paradigm has emerged: “Cloud Computing”. It seems to be promoted as heavily as the “Grid” was a few years ago, causing broad discussions on the differences between Grid and Cloud Computing. The first contribution of this paper is thus a detailed discussion about the different characteristics of Grid Computing and Cloud Computing. This technical classification allows for a well-founded discussion of the business opportunities of the Cloud Computing paradigm. To this end, this paper first presents a business model framework for Clouds. It subsequently reviews and classifies current Cloud offerings in the light of this framework. Finally, this paper discusses challenges that have to be mastered in order to make the Cloud vision come true and points to promising areas for future research.     

INTRADAY STEALTH TRADING: WHICH TRADES MOVE PRICES DURING PERIODS OF HIGH VOLUME?

Research documents a U-shaped intraday pattern of returns. We examine which trade sizes drive the U-shaped pattern and find that intraday price changes from larger trades exhibit a U-shaped pattern whereas price changes from smaller trades show a reverse U-shaped pattern. We argue that price changes from smaller trades are higher during the middle of the day because informed investors break up their trades to disguise their information when intraday volume is low. Price changes from larger trades are likely higher at the beginning and end of the day because high volume allows informed investors to increase their trade size without revealing their information to the market.     

Measuring business school faculty perceptions of student cheating

Dealing with academic dishonesty remains an ongoing issue for business school faculty. In this study, using an online survey, the authors examined responses of 233 business school faculty from a Tier 1 Association to Advance Collegiate Schools of Business–accredited university and measured their perceptions of undergraduate cheating and reporting of such behavior. Study results showed promise for measuring 3 types of cheating behavior scales: paper based, internet based, and direct exam. Faculty who formally reported a cheating incident perceived a higher general cheating problem, and higher levels of paper-based, internet-based, and direct exam cheating than the faculty who had never reported a student.     

Firm Opacity and the Clustering of Stock Prices: the Case of Financial Intermediaries

Journal of Financial Services Research - In this study, we develop and test the hypothesis that because of opacity, the stock prices of financial firms will cluster on round fractions more than the...