Dr Xicheng Liu

Research Highlights

1. Korczak, P. & Liu, X. (2013). Managerial shareholding policies and retention of vested equity incentives. Journal of Empirical Finance, 27, 116-129.

   https://doi.org/10.1016/j.jempfin.2013.10.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21940

   http://www.sciencedirect.com/science/article/pii/S0927539813000777
2. Chen, J., Liu, X., Song, W., & Zhou, S. (2020). General managerial skills and corporate social responsibility. Journal of Empirical Finance, 55, 43-59.

   https://doi.org/10.1016/j.jempfin.2019.10.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52654

   http://dx.doi.org/10.1016/j.jempfin.2019.10.007

All Research

• A study of corporate social responsibility and innovation: Evidence from US firms (current)

  PhD

  Other supervisor: Dr Yuzhi Cai

• Busy female directors on firm performance (awarded 2022)

  PhD

  Other supervisor: Dr Yuzhi Cai

• MN-3002 Financial Market Efficiency

  The module is designed to develop an awareness of the hypothesis of financial market efficiency and the challenges to this hypothesis from behavioural finance.

• MN-D002 Independent Project

  The report documents the result of an independently researched analysis of a finance related topic or issue. It is intended to provide a degree of synthesis of the various course components. The student should be able to demonstrate he/she is able to apply knowledge and skills gained and that he/she has an understanding of the wider context of the programme of study undertaken.

• MN-D023 Dissertation

  The module aims to develop fundamental research skills. It comprises the development of supervised research work leading to a dissertation in the field of sustainable finance. The specific research topic will be chosen by the student following consultation with their supervisor.

• MN-D023W Finance Project

  An innovative alternative to a master¿s dissertation. Students are encouraged to develop a project in consultation with industry that embraces both theory and practice. Work produced should be at a professional level and will explore the contextual, theoretical and practical issues raised by the project.

• MN-M008 International Financial Markets and Institutions

  The financial sector is one of the most dynamic sectors of a modern global economic system. Innovations within the financial system of developed economies have been increasingly important in recent years and they have been evolving continuously. It is, therefore, important to analyse and understand the main institutions in financial markets, and examine the nature of the financial instruments (securities) they use. This module aims to provide students with an in-depth knowledge of financial systems, institutions, markets and instruments. In addition, this module also provides the gateway for students to understand the practice, policy and contemporary topics related to the financial markets and institutions.

• MN-M024 Financial Modelling

  This module aims to equip students with the knowledge and tools to implement financial models using Excel. The course introduces students to the general principles of building financial models, as well as a number of specific financial modelling tools including regression analysis, statistical functions, matrix functions, optimization and simulation. Student will master these methods through obtaining hands-on experience by modelling company valuation process, yield curve, and investment portfolio performance. The highlight of this module is the application of financial theories in solving real world problems. The module will also introduce students to the use of VBA (Microsoft¿s programming language) in financial modelling.

• MN-N016 Research Skills

  This module provides a toolbox for the production of effective research in finance. We start from identifying the research question, determining the contribution and the research philosophy that will guide your work. We then consider how to use academic literature to support your work, to build strong arguments and provide theoretical rigour to your contribution. We consider the key research methods adopted in finance, for both corporate finance and asset pricing perspectives. We look at how contemporary innovations in machine learning, and fintech, are creating new tools you can consider. Finally, we introduce effective research writing and presentation using professional tools such as Latex and Prezi.

• MN-N018 Financial Modelling

  This module aims to equip students with the knowledge and tools to implement financial models using Excel. The course introduces students to the general principles of building financial models, as well as a number of specific financial modelling tools including regression analysis, statistical functions, matrix functions, optimization and simulation. Student will master these methods through obtaining hands-on experience by modelling company valuation process, yield curve, and investment portfolio performance. The highlight of this module is the application of financial theories in solving real world problems. The module will also introduce students to the use of VBA (Microsoft¿s programming language) in financial modelling.