The Finance field in Laurier’s PhD in Management program is designed for the brightest and hardest-working individuals who are seeking academic and research positions. We welcome applications from students in business and related fields, such as economics, accounting, statistics and mathematics.
Our invigorating research environment is supported by highly productive and internationally recognized scholars who publish in top journals. As well, many of our graduate students have won best paper awards at conferences and have published their work in high-ranked journals.
Building on finance theory, our PhD students undertake research in four key areas of financial management: financial markets, corporate finance and governance, options and futures, and market microstructure.
We create a nurturing environment where you have access to:
The program is structured to be completed in four years. In the first two years, you will complete 13 half-credit courses and write the comprehensive exams. Comprehensive exams are typically completed at the end of your second year. In the third and fourth years of the program, you will propose and complete your dissertation. In order to develop and refine your research skills, you are expected to engage in research throughout the program.
This course presents some recent developments in empirical finance research in the field of fixed income markets. In particular, this course provides a broad overview of relevant econometric methods and empirical issues in these markets; and indicates and provides possible topics for future research. The course is quantitative in nature and students are expected to have had some prior training in and exposure to equity and fixed income assets.
An introduction to the methods and instruments of business research, including scientific method, research design, and measurement. Basic descriptive and inferential statistics will be covered.
This seminar course covers the major principles of financial economics. Topics include the theory of corporate finance, portfolio theory and the capital asset pricing model, arbitrage pricing theory, and market microstructure.
The objective of this course is to provide an overview of accounting issues and accounting research for PhD students with limited accounting backgrounds. The topics include both financial accounting and interpretation of accounting data.
Econometric techniques often used in capital market empirical studies will be covered in this seminar course. Selected topics in advanced econometrics, residual analysis and seemingly unrelated regression will be studied. Major published papers which use such methodologies will be reviewed.
This course covers the tools used in evaluating contingent claims. Topics include continuous time mathematics and its applications in options, futures and swaps and hedging. Both financial and commodity derivatives will be covered. Major empirical papers on these topics will also be discussed.
The second part of the Financial Econometrics seminar will be covered in this course. Time series techniques such as unit roots and cointegration will be studied. In addition, ARCH and GARCH Models, Binary Models and Non-Parametric tests will also be covered.
This course focuses on cross-sectional and panel data econometrics applied to asset pricing and corporate finance. The theoretical approach is based on the use of the generalized method of moments (GMM). However, maximum likelihood, estimation and minimum distance estimation are used for specific topics. The course covers basic theory, but focuses on financial applications covering classical contributions, recent developments and ongoing research.
This course focuses on the structure of financial markets, trading and investment strategies of institutional and individual investors, liquidity provision, information asymmetries, and securities markets regulation. Theoretical and empirical literature on liquidity, volatility, price informedness, strategic trading, trading profits and transaction costs are surveyed.
The economic theory of business decision making and its application to a variety of problems. Strategic decisions are emphasized.
A study of modern macroeconomics, including economic growth, money demand and macroeconomic policy in the short run.
A survey of applied econometrics, including basic regression theory and an examination of a variety of econometric applications in both microeconomics and macroeconomics.
This course covers the theory and principles of corporate finance and asset pricing. The corporate finance topics will include capital structure, agency theory and corporate valuation while the asset pricing theory will cover mean-variance portfolio theory, the capital asset pricing model and the arbitrage pricing theory.
Assistant Professor (PhD, HEC Montreal)
Professor (PhD, Trinity College, Dublin)
2006 Financial Engineer of the Year
Professor (PhD, University of Houston, Texas)
Equitable Life of Canada Fellow
Director, PhD and Research-based Master’s Programs in Management
Associate Professor (PhD, Duke University)
Ira Gluskin Fellowship in Finance
Associate Professor (PhD, Yale University)
M. Fabricio Perez
Assistant Professor (PhD, Arizona State University)
Director, Financial Services Research Centre
Associate Professor (PhD, University of Mississippi)
Canada Research Chair in Financial Markets
Professor (PhD, Western University)
BMO Financial Group Professorship of Entrepreneurial Finance
Assistant Professor (PhD, Queen’s University)
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