How CEOs protect themselves against dismissal: A social status perspective

In this study, we address the question of why some CEOs stay in office during a performance downturn while others don't. Taking a social status perspective, we argue that an individual's board network embeddedness—as reflected in the number of outside directorships—plays an important role in dismissal decisions. We predict that a high status of the CEO relative to the chairman of the board protects an underperforming CEO against dismissal, while the relative salience of board network outsiders can counter this effect. Using longitudinal data of large German corporations, we find support for our predictions. Ltd. Copyright © 2015 John Wiley & Sons, Ltd.     

Stochastic covariance and dimension reduction in the pricing of basket options

This paper presents a tailor-made method for dimension reduction aimed at approximating the price of basket options in the context of stochastic volatility and stochastic correlation. The methodology is built on a modification to the Principal Component Stochastic Volatility (PCSV) model, a stochastic covariance model that accounts for most stylized facts in prices. The method to reduce dimension is first derived theoretically. Afterwards the results are applied to a multivariate lognormal context as a special case of the PCSV model. Finally empirical results for the application of the method to the general PCSV model are illustrated.     

Optimal Harvesting of an Age-Structured Schooling Fishery

Biologists have criticized traditional biomass models in fishery economics for being oversimplified. Biological stock assessment models are more sophisticated with regard to biological content, but rarely account for economic objectives. This study includes a full age-structured population model for studying schooling fisheries and extends the delayed difference approach used in earlier studies. We take the total harvest as the choice variable, resulting in a simple analytical structure. The model produces optimal steady states that may be higher or lower compared to the delayed-difference formulation. The model is applied to the Baltic sprat fishery. Both ecological and harvesting cost data support specifying Baltic sprat as a schooling fishery. Given nonlinear harvesting costs, the optimal solution is a path toward a steady state with smooth annual harvest and population age structure. Sensitivity analysis shows that the optimal solution is highly dependent on the population level of the sprat’s main predator Baltic cod. A linear cost function and an interest rate below 9 % imply pulse fishing instead of smooth continuous harvesting. Given nonlinear harvesting cost, the optimal steady state yield is rather insensitive to changes in the interest rate. However, under a high cod scenario, interest rates of 10 % or higher implies that no optimal steady state exists.     

Bernard Mandeville's vision of the social utility of pride and greed

Abstract

In the seventeenth and eighteenth centuries, pride and greed were hailed for their capacity to tame man's unruly passions and induce cooperation. Both narratives concur in the work of Mandeville. How, and to what extent, does the Mandevillean alliance of pride and greed account for social cooperation? Seeking to gratify his pride in a socially acceptable manner by accumulating wealth, man unintentionally creates the conditions that promote cooperation. Nevertheless, society remains the scene of conflicting forces. Social cooperation is unstable in being sought for reasons of gain in the zero-sum struggle for distinction.     

Forecasting market turbulence using regime-switching models

We propose an early warning system to timely forecast turbulence in the US stock market. In a first step, a Markov-switching model with two regimes (a calm market and a turbulent market) is developed. Based on the time series of the monthly returns of the S&P 500 price index, the corresponding filtered probabilities are successively estimated. In a second step, the turbulent phase of the model is further specified to distinguish between bullish and bearish trends. For comparison only, a Markov-switching model with three states (a calm market, a turbulent bullish market, and a turbulent bearish market) is examined as well. In a third step, logistic regression models are employed to forecast the filtered probabilities provided by the Markov-switching models. A major advantage of the presented modeling framework is the timely identification of the factors driving the different phases of the capital market. In a fourth step, the early warning system is applied to an asset management case study. The results show that explicit consideration of the models’ signals yields better portfolio performance and lower portfolio risk compared to standard buy-and-hold and constant proportion portfolio insurance strategies.     

Determinants of bank interest margins in Central and Eastern Europe: A comparison with the West

We investigate the determinants of bank interest margins in the Central and Eastern European countries (CEEC). We assess to what extent the relatively high bank margins in CEEC can be attributed to low efficiency or non-competitive market conditions, controlling for the macroeconomic environment and the influence of foreign and state-owned banks. We systematically compare CEEC banks with Western European banks. Our results indicate that banking in the CEEC is on a virtuous path, at least in the EU accession countries: Increased efficiency benefits customers, while capital adequacy supports systemic stability. In the non-accession countries, important policy actions are required.