Dr Wanwan (Julia) Zhu

Dr Wanwan (Julia) Zhu

Profile

Wanwan (Julia) Joinded the Accounting and Finance Division of Leeds University Business School as a Postgraduate Researcher before being hired as a Teaching Fellow in January 2020. Before her appointment as a teaching fellow, Julia was employed at Leeds University Business School as a teaching assistant on various modules.

Research interests

Julia’s research interests include corporate governance, the banking industry, CEO succession and top management team, executive compensation, earnings management, etc.

Selected Working Papers

‘Changes in Bank Profitability Post-CEO Succession: Does Prior CEO Experience Matter?’

‘CEO Tournament and Winners' Reward: Evidence from US Bank Holding Companies’

Conference Presentations

International Finance and Banking Society (IFABS) 2018 Porto Conference, Porto, Portugal, June-July 2018

Financial Management Association (FMA) 2018 European Conference, Kristiansand, Norway, June 2018

British Accounting and Finance Association (BAFA) 2018 Annual Conference, London, UK, April 2018

British Universities Industrial Relations Association (BUIRA) 5th PhD symposium, Cardiff, Wales, UK, November 2017

White Rose DTC 6th Annual Conference, Sheffield, UK, June 2017

The 9th International Confernece on Service System and Service Management (ICSSSM’12), Shanghai, China, July 2012

Qualifications

  • PhD, Acccounting and Finance, University of Leeds, UK
  • Associate Fellow of The Higher Education Academy (AFHEA)

Professional memberships

  • Member of Financial Management Association (FMA)

Student education

Julia has teaching experience in a variety of modules within Leeds University Business School such as: Foundations of Finance (LUBS1035), Introduction to Finance (LUBS1036), Introductory Management Accounting (LUBS1245), Introduction to Management Accounting (LUBS1925), Mathematical Economics (LUBS1280), Corporate Finance (LUBS2205), Credic and Financial Analytics (LUBS2225). Julia is good at student engagement and building a friendly and supportive learning environment. She has been proactively developing and utilising innovative approaches to deliver teaching.

She was a research assistant in the school’s Bloomberg Financial Market Lab from 2016 to 2018 and skillful in supervising students the use of Bloomberg Terminals, teaching students data retrival teachniques and econometric analysis techniques in statistical software packages.