Executive compensation, incentives, and corporate debt

DOI

It is widely acknowledged that the behaviour of top executives is influenced by the structure of their remuneration packages. Still, the focus of both academics and policy makers appears largely limited to the alignment of managerial incentives with the interests of shareholders. The unintended consequence of it is the resulting conflict of interests between debt and equity holders, in particular, excessive risk taking by the executives (which may harm the creditors). A combination of quantitative and qualitative techniques is applied to study UK public firms and investigate the role that the design of managerial incentive schemes could have in mitigating (or exacerbating) agency conflicts of debt financing. Specifically, the project analyses relations between companies' capital structure and the design of their executives' compensation packages. It also verifies if deferred compensation and pension entitlements of executives serve as a remedy for mitigating the conflict of interests between shareholders and debt holders, or if they represent excessive managerial remuneration. Finally, it examines the effects of the executive pay-mix design on managerial actions and on the investors' wealth. The project will contribute to academic literature and will provide evidence informing policy makers on transparency and governance guidelines regarding managerial compensation and incentive schemes.

Survey of Chairs of Remuneration Committees of UK listed firms

Identifier
DOI https://doi.org/10.5255/UKDA-SN-850718
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=96e398ca7db368f749e241c64c04974de375f46c3f853b4bfb5c26b5e0df0e30
Provenance
Creator Trojanowski, G, University of Exeter
Publisher UK Data Service
Publication Year 2013
Funding Reference Economic and Social Research Council
Rights Grzegorz Trojanowski, University of Exeter; The Data Collection only consists of metadata and documentation as the data could not be archived due to legal, ethical or commercial constraints. For further information, please contact the contact person for this data collection.
OpenAccess true
Representation
Language English
Resource Type Numeric
Discipline Social Sciences
Spatial Coverage United Kingdom