Finance

This proposal looks for candidates who would like to do research in finance.

The project offers flexibility and the specific research topic will result from discussions between the candidate and a supervisor from the ESE finance group.

The goal is to come up with research topics that align the interests and expertise of both the candidate and the supervisor.

Keywords

Finance

Topic

Potential areas include corporate finance and behavioral finance

Approach

Empirical, although a preference for theory could also be accommodated

Literature references

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Coorporation

International cooperation is easily an option through the network of the supervisor(s)

Expected output

Three high quality research papers that have a chance of being published in the top finance journals

Scientific relevance

The selected research topic will have strong academic relevance

Societal relevance.

The selected research topic will have strong societal relevance

PhD candidate profile

The candidate is expected to have strong research skills and should be an innovative thinker that works hard and is fluent in English.

Supervisor(s)

Prof. dr. Patrick Verwijmeren

T: +31 (0)10 4081392
E: verwijmeren@ese.eur.nl

Depending on the candidate, an additional supervisor could be added.

Graduate school

This project is affiliated with the Tinbergen Institute graduate school, applicants for this project need to pass the Tinbergen Institute's admission requirements before they can be considered for a PhD position at Erasmus School of Economics.

Note that the Tinbergen Institute requires valid GRE General Test results from all applicants. More information about the GRE test. Be aware that available seats for this test fill up very fast so book your test well in advance. Please contact the GRE program for specific questions about the GRE test.

Deadline

Application deadline: 15 January 2019

Interested?

Apply for this project using our online application form. Please use the project code below to apply for this project.

Tinbergen project code:

TI PhD 2019 ESE PV