Investor protection and cross-border acquisitions of private and public targets

We examine the announcement-period acquirer returns and target values for a large sample of cross-border acquisitions by U.S. firms, differentiating between private and public targets and paying particular attention to the legal protection of minority shareholders in the target country. For high-protection target countries, acquirer announcement-period returns are significantly negative for public targets and significantly positive for private targets. For low-protection target countries, the acquirer returns are significantly positive for public targets and insignificantly different from zero for private targets. For public targets, acquirer returns are decreasing and target-firm values and acquisition premia are increasing with the level of investor protection. For private targets, investor protection does not affect acquirer returns or target-firm values. We find that bidder returns decrease with the level of creditor protection in the target country and increase with the quality of accounting standards. Our results also show that in low- protection countries, firm-level corporate governance mechanisms, such as higher insider ownership, may substitute for the lower level of investor protection.     

Disparitäten in der Entwicklung der Gemeindesteuern

Generally, taxes are the most relevant source of revenue for German municipalities. In the period from 2004 to 2014, tax revenues were growing at remarkable rates. However, statistical analyses show that not all municipalities were benefitting in the same way, and thus state-wide averages are of limited value, since they tend to whitewash inner-state inequality. Disparities are even significant in states with strong economic fundamentals. According to absolute measures, disparities are growing at the national level. This can be explained by a few tax-strong outliers. In contrast, relative inequality remains static. The alarming finding is that intertemporal mobility among municipalities in the allocation of tax revenues is limited, and thus tax-weak municipalities face a cloudy outlook.     

Pre-sale information

In markets as diverse as that for specialized industrial equipment or that for retail financial services, sellers or intermediaries may earn profits both from the sale of products and from the provision of pre-sale consultation services. We study how a seller optimally chooses the costly quality of pre-sale information, next to the price of information and the product price, and obtain clear-cut predictions on when information is over- and when it is underprovided, even though we find that information quality does not satisfy a standard single-crossing property. Buyers who are a priori more optimistic about their valuation end up paying a higher margin for information but a lower margin for the product when they subsequently exercise their option to purchase at a pre-specified price.     

Brand Equity, Consumer Learning and Choice

The aim of this paper is to explore the links between brand equity, consumer learning and consumer choice processes in general and considering two recent trends in the market place: store brands and the Internet. We first review the advances that have occurred in brand equity research in marketing in the past decade, with particular emphasis on integrating the separate streams of research emanating from cognitive psychology and information economics. Brand equity has generally been defined as the incremental utility with which a brand endows a product, compared to its non-branded counterpart. We amplify this definition: we propose that brand equity be the incremental effect of the brand on all aspects of the consumer's evaluation and choice process. We propose an agenda of research based on this amplified definition.     

Making real options work for practitioners: a generic model for valuing R&D projects

We propose a generic valuation framework for the appraisal of R&D projects based on real option theory. The added value of this approach is the presentation of a model that was implemented in a manner that allows corporate decision makers to use real options in an intuitive and standardized way. The project valuation procedure is separated into three main phases: project modeling, data and input collection, and result generation and analysis. The project model represents the structure of the real world R&D project with its investments, expected results, and decisions that need to be taken conditionally on the outcomes of research activities. The project model is represented in the form of a decision tree, where different research results or taken decisions lead to new branches. In this way, every possible situation the project can pass through can be represented. Uncertainties are separated into market uncertainties (e.g., market prices) and project specific, private uncertainties (e.g. uncertainty of research results). For both uncertainties, event trees are constructed which are then combined and merged with the above mentioned decision tree in order to represent the value evolution of the R&D project under given decisions and uncertainties. For every possible state of the project the real option value is calculated. By creating multidimensional trees, a multitude of decision steps and various kinds of real options (e.g., continue, expansion, switch, abandonment) can be modeled. The calculation complexity for the decision trees is given. From the tree structure we can calculate the real option value of starting an R&D project, i.e., the value of undertaking the first investment and thus acquiring the subsequent decision opportunities given by the completion of the first research effort. Furthermore, the optimal exercise strategy is derived from the decision tree. The exercise strategy gives the manager the possibility to have an a priori overview of where an R&D project may lead to, which decisions need to be taken in which circumstances, and when the project needs to be stopped in order not to generate losses. In an in‐depth case study we use an illustrative R&D project to set up and discuss the three phases of project modeling in the real options framework: building the multidimensional decision tree, input generation, and calculation of the real option value as well as the optimal strategy for the R&D project.     

Feedback and Motivation in Dynamic Tournaments

We investigate the choice to conduct interim performance evaluations in a dynamic tournament. When a worker's ability does not influence the marginal benefit of effort, the choice depends on the shape of the cost of effort function. When effort and ability are complementary, feedback has several competing effects: it informs workers about their relative position in the tournament (evaluation effect) as well as their relative productivity (motivation effect) and it creates signal‐jamming incentives to exert effort prior to the performance evaluation. These effects suggest a tradeoff of performance feedback between evaluation and motivation which is in accordance with organizational behavior research and performance appraisal practices.     

RECENT GROWTH IN NASDAQ TRADING VOLUME AND ITS RELATION TO MARKET VOLATILITY

We document a significant increase in Nasdaq trading volume relative to New York Stock Exchange (NYSE) and American Stock Exchange (AMEX) trading volumes. Although recent increases in the number of shares traded are reported in the financial press, we also find it present in the percentage of dollar values traded. We then examine correlations between trading volume and several measures of market volatility. Nasdaq volume appears to be more closely correlated with residual variance, while NYSE and AMEX volumes are more closely correlated with overall market variance. We conclude that the type and quantity of information driving trading are different on Nasdaq than on the two exchanges, and that the relative growth in Nasdaq volume cannot be attributed solely to differences in the methods of counting volume in the two market environments.     

Harassment, corruption and tax policy: A comment on Marjit, Mukherjee and Mukherjee [Eur. J. Political Economy 16 (2000) 75–94]

Our comment on Marjit et al. [Marjit, S., Mukherjee, V., Mukherjee, A., 2000. Harassment, corruption and tax policy. European Journal of Political Economy 16, 75–94.] addresses the equilibrium concept used in the game with imperfect information, Section 4 of the original paper. The solution represented in the original paper does not constitute a perfect Bayesian Nash-equilibrium. We develop an alternative solution of the game given the assumptions made by Marjit et al. [Marjit, S., Mukherjee, V., Mukherjee, A., 2000. Harassment, corruption and tax policy. European Journal of Political Economy 16, 75–94.] and find that the results concerning the optimal amount of over-evaluation of income and the existence of a pooling or separating equilibrium are altered.     

Conformal prediction interval estimation and applications to day-ahead and intraday power markets

In this study, we investigated the application of the conformal prediction (CP) concept in the context of short-term electricity price forecasting. In particular, we determined the most important aspects related to the utility of CP, as well as explaining why this simple but highly effective idea has proved useful in other application areas and why its characteristics make it promising for short-term power applications. We compared the performance of CP with various state-of-the-art electricity price forecasting models, such as quantile regression averaging, in an empirical out-of-sample study of three short-term electricity time series. We combined CP with various underlying point forecast models to demonstrate its versatility and behavior under changing conditions. Our findings suggest that CP yields sharp and reliable prediction intervals in short-term power markets. We also inspected the effects of each of the model components to provide path-based guideline regarding how to find the best CP model for each market.