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Textual Analysis in Accounting and Finance

  • Full or part time
    Dr S Rahman
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

In the last decade, there has been a growing interest in textual analysis on the linguistic characteristics of financial disclosures, such as the tone (sentiment), readability, and attribution of financial performance. I am interested in supervising the above and other related textual analysis topics in accounting and finance. Students need to have a background in accounting and / or finance although some economics students may fit this topic as well. The goal of PhD from this topic is to develop multiple potentially publishable papers in reputed accounting and finance journals. The papers submitted to journals will be co-authored by the student and thesis supervisors. If students require training on basic statistical analysis or accounting information, such classes may be arranged. Students will also be provided the knowledge of working in basic textual analysis software and will have the opportunity to attend textual analysis workshops (in UK). Potentially publishable papers will also have the opportunity to be presented in reputable accounting and finance conferences and seminars, including the British Accounting and Finance Association (BAFA) Conference and Doctoral Colloquiums.

Funding Notes

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: View Website. Recently the UK Government made available the Doctoral Student Loans of up to £25,000 for UK and EU students and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.)

Related Subjects

How good is research at Brunel University London in Economics and Econometrics?

FTE Category A staff submitted: 26.20

Research output data provided by the Research Excellence Framework (REF)

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