Property networks of corporations as cause of abusive behaviour – A stock market analysis based on institutional economics
Makram El-Shagi
Applied Financial Economics Letters,
No. 5,
2005
Abstract
The present study deals with the fact that it seems as if executive boards have developed a self-service-mentality concerning the corporations they are meant to manage. The surprise about this is not the attempt of exploitation (rather the opposite would be surprising from an economic point of view) but the apparent absence of sanctions imposed by the owners. This study shows that this behaviour of corporations’ owners is at least to a main part due to the fact, that the reciprocal property of corporations prevents the exercise of certain property rights by the ‘true’ holders.
Read article
Why do we have an interbank money market?
Jürgen Wiemers, Ulrike Neyer
IWH Discussion Papers,
No. 182,
2003
Abstract
The interbank money market plays a key role in the execution of monetary policy. Hence, it is important to know the functioning of this market and the determinants of the interbank money market rate. In this paper, we develop an interbank money market model with a heterogeneous banking sector. We show that besides for balancing daily liquidity fluctuations banks participate in the interbank market because they have different marginal costs of obtaining funds from the central bank. In the euro area, which we refer to, these cost differences occur because banks have different marginal cost of collateral which they need to hold to obtain funds from the central bank. Banks with relatively low marginal costs act as intermediaries between the central bank and banks with relatively high marginal costs. The necessary positive spread between the interbank market rate and the central bank rate is determined by transaction costs and credit risk in the interbank market, total liquidity needs of the banking sector, costs of obtaining funds from the central bank, and the distribution of the latter across banks.
Read article
Understanding CSR Champions: A Machine Learning Approach
Alona Bilokha, Mingying Cheng, Mengchuan Fu, Iftekhar Hasan
Annals of Operations Research,
2099
Abstract
In this paper, we study champions of corporate social responsibility (CSR) performance among the U.S. publicly traded firms and their common characteristics by utilizing machine learning algorithms to identify predictors of firms’ CSR activity. We contribute to the CSR and leadership determinants literature by introducing the first comprehensive framework for analyzing the factors associated with corporate engagement with socially responsible behaviors by grouping all relevant predictors into four broad categories: corporate governance, managerial incentives, leadership, and firm characteristics. We find that strong corporate governance characteristics, as manifested in board member heterogeneity and managerial incentives, are the top predictors of CSR performance. Our results suggest policy implications for providing incentives and fostering characteristics conducive to firms “doing good.”
Read article