When do managers listen to the market? Impact of learning in acquisitions of private firms

We study the influence of market signals and agency problems on the decision to cancel an announced acquisition. We find major differences between deals involving private vs. public targets. First, controlling for the value of expected synergies, acquisitions are less likely to be cancelled when the target is private rather than public. This finding supports learning rather than the alternative common-information hypothesis. Second, better manager-shareholder interest alignment makes the cancellation of a “bad” deal more likely only when the target is a private firm. This suggests bidder agency problems have a greater influence on acquisition outcome (i.e., learning) when the target is private. Third, cancellation is more likely for private targets when their post-announcement abnormal returns are low, especially if the method of payment includes stock. This indicates that it is important to control for bidder overvaluation when testing the managerial learning hypothesis. Overall, both the learning and agency hypotheses help explain observed differences in deal completion by target type.     

Economic evaluation of nivolumab for the treatment of second-line advanced squamous NSCLC in Canada: a comparison of modeling approaches to estimate and extrapolate survival outcomes

Background Lung cancer is the most common type of cancer in the world and is associated with significant mortality. Nivolumab demonstrated statistically significant improvements in progression-free survival (PFS) and overall survival (OS) for patients with advanced squamous non-small cell lung cancer (NSCLC) who were previously treated. The cost-effectiveness of nivolumab has not been assessed in Canada. A contentious component of projecting long-term cost and outcomes in cancer relates to the modeling approach adopted, with the two most common approaches being partitioned survival (PS) and Markov models. The objectives of this analysis were to estimate the cost-utility of nivolumab and to compare the results using these alternative modeling approaches.

Methods Both PS and Markov models were developed using docetaxel and erlotinib as comparators. A three-health state model was used consisting of progression-free, progressed disease, and death. Disease progression and time to progression were estimated by identifying best-fitting survival curves from the clinical trial data for PFS and OS. Expected costs and health outcomes were calculated by combining health-state occupancy with medical resource use and quality-of-life assigned to each of the three health states. The health outcomes included in the model were survival and quality-adjusted-life-years (QALYs).

Results Nivolumab was found to have the highest expected per-patient cost, but also improved per-patient life years (LYs) and QALYs. Nivolumab cost an additional $151,560 and $140,601 per QALY gained compared to docetaxel and erlotinib, respectively, using a PS model approach. The cost-utility estimates using a Markov model were very similar ($152,229 and $141,838, respectively, per QALY gained).

Conclusions Nivolumab was found to involve a trade-off between improved patient survival and QALYs, and increased cost. It was found that the use of a PS or Markov model produced very similar estimates of expected cost, outcomes, and incremental cost-utility.     

On Setting Prices and Testing Cross-Subsidy with Accounting Data

Regulators are often faced with the challenge of both setting efficient prices and avoiding cross subsidy. Successful implementation of these goals requires estimates of both marginal costs and incremental costs. We present a methodology for estimating both marginal and incremental costs for postal products. The proposed algorithms combine micro-unit accounting data and econometric estimation of the cost structure. We apply the methodology to the U.S. Postal Service and produce estimates of marginal and incremental costs for eighteen postal products and incremental costs for another four groups of products.     

In difficult times: influences of attitudes and expectations on training and redeployment opportunities in a hospital contraction programme

This article explores reasons behind the low take–up of training and redeployment opportunities in a three–year downsizing programme in a National Health Service (NHS) mental health hospital. It examines these from an interpretive paradigm, identifying social–psychological effects on barriers and motivation to training and redeployment. In reporting factors that inhibit the movement of staff from the hospital the findings indicate that the direction of even a well–planned and positively intentioned programme can be confounded by the responses of employees faced with an uncertain future. When drawing up restructuring programmes involving retraining and redeployment, managers need to take into account the anticipated profound reactions of those affected.     

Do Tax Law Changes Influence Ex-Dividend Stock Price Behavior? Evidence from 1926 to 2005

We test the Elton and Gruber model of ex-dividend stock pricing over a period spanning all US tax law changes since 1926. Our results indicate that price drop ratios (ΔP/D) and ex-day returns are related to dividend and capital gains tax rates in the theorized manner. Consistent with tax clienteles, we also find that ex-day price movements of higher dividend yield stocks are driven more by corporate tax rates, while lower yield stocks are more influenced by personal rates. Finally, we demonstrate that the positive relationship between ΔP/D and the dividend yield becomes stronger as the tax differential | t_d− t_cg | widens.     

Buyer perceptions of supply disruption risk: A behavioral view and empirical assessment

As supply chains become more complex, firms face increasing risks of supply disruptions. The process through which buyers make decisions in the face of these risks, however, has not been explored. Despite research highlighting the importance of behavioral approaches to risk, there is limited research that applies these views of risk in the supply chain literature. This paper addresses this gap by drawing on behavioral risk theory to investigate the causal relationships amongst situation, representations of risk, and decision-making within the purchasing domain. We operationalize and explore the relationship between three representations of supply disruption risk: magnitude of supply disruption, probability of supply disruption, and overall supply disruption risk. Additionally, we draw on exchange theories to identify product and market factors that impact buyers’ perceptions of the probability and magnitude of supply disruption. Finally, we look at how representations of risk affect the decision to seek alternative sources of supply. We test our model using data collected from 223 purchasing managers and buyers of direct materials. Our results show that both the probability and the magnitude of supply disruption are important to buyers’ overall perceptions of supply disruption risk. We also find that product and market situational factors impact perceptions of risk, but they are best understood through their impact on perceptions of probability and magnitude. Finally, we find that decisions are based on assessments of overall risk. These findings provide insight into the decision-making process and show that all three representations of risk are necessary for fully understanding risky decision-making with respect to supply disruptions.     

Images paired with concrete claims improve skeptical consumers’ responses to advertising promoting a firm’s good deeds

Previous research has focused attention on state skepticism over corporate social responsibility (CSR) communications, but little work has focused on how to override preexisting differences in consumer skepticism. To gain insight into this issue, the present studies explore whether company ads promoting a firm’s good deeds generate more positive responses when the ads contain concrete claims and/or images related to the firm’s corporate social responsibility claims, and how these elements of the CSR communication interact with individual differences in advertising skepticism. Results show that highly skeptical consumers (a) respond less favorably to ads than less skeptical consumers, overall; (b) respond more favorably to ads that contain a combination of concrete claims and images supporting those claims; and (c) respond as favorably as less skeptical consumers when ads feature concrete claims with supporting images. Additional results suggest that images are effective among highly skeptical consumers because skeptical consumers have a reduced ability to visualize advertising claims. Implications and future research directions are discussed.     

The Cost of Carbon: Capital Market Effects of the Proposed Emission Trading Scheme (ETS)

In March 2008, the Australian Government announced its intention to introduce a national Emissions Trading Scheme (ETS), now expected to start in 2015. This impending development provides an ideal setting to investigate the impact an ETS in Australia will have on the market valuation of Australian Securities Exchange (ASX) firms. This is the first empirical study into the pricing effects of the ETS in Australia. Primarily, we hypothesize that firm value will be negatively related to a firm's carbon intensity profile. That is, there will be a greater impact on firm value for high carbon emitters in the period prior (2007) to the introduction of the ETS, whether for reasons relating to the existence of unbooked liabilities associated with future compliance and/or abatement costs, or for reasons relating to reduced future earnings. Using a sample of 58 Australian listed firms (constrained by the current availability of emissions data) which comprise larger, more profitable and less risky listed Australian firms, we first undertake an event study focusing on five distinct information events argued to impact the probability of the proposed ETS being enacted. Here, we find direct evidence that the capital market is indeed pricing the proposed ETS. Second, using a modified version of the Ohlson ( 1995 ) valuation model, we undertake a valuation analysis designed not only to complement the event study results, but more importantly to provide insights into the capital market's assessment of the magnitude of the economic impact of the proposed ETS as reflected in market capitalization. Here, our results show that the market assesses the most carbon intensive sample firms a market value decrement relative to other sample firms of between 7% and 10% of market capitalization. Further, based on the carbon emission profile of the sample firms we imply a ‘future carbon permit price’ of between AUD$17 per tonne and AUD$26 per tonne of carbon dioxide emitted. This study is more precise than industry reports, which set a carbon price of between AUD$15 to AUD$74 per tonne.     

Archetypes of governance for science and technology labs

While policy-makers understand the vast benefits of publicly funded and not-for-profit research, governance practitioners have the difficult task of defining processes that can best foster high performance for science and technology (S&T) labs not primarily driven by profits. This qualitative study develops a new taxonomy based on two dimensions, the nature of the funding relationship between the parent organisation and the S&T lab and the degree of interdependence between the lab's research units. We discuss the dynamics uncovered for each of the four archetypes with illustrative cases and argue that high-performance governance of S&T labs requires an internal coherence linking the processes of planning, funding and performance evaluation.