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Xiaowen Lei is an Assistant Professor in the Department of Economics and Finance at the Gordon S. Lang School of Business and Economics, University of Guelph, specializing in macroeconomic research with emphasis on wealth distribution and policy frameworks. Education: PhD in Economics, Simon Fraser University, 2018 Her research examines how belief heterogeneity influences wealth inequality through financial market interactions, incorporating rare disasters and generational learning effects. She investigates optimal monetary policy under uncertainty and exchange rate regime choices, bridging theoretical modeling with empirical analysis of asset pricing anomalies and macroeconomic stability. Her publications reveal consistent focus on inequality dynamics under risk, with methodologies combining heterogeneous-agent models and macro-finance linkages. Recent work explores announcement-day returns driven by investor disagreement and the psychological balance between hope and doubt in asset valuation. Scientific recognition: Postdoctoral Prize Research Fellow at University of Oxford, Nuffield College Research leadership: Principal Investigator: SSHRC Insight Grant "Heterogeneous Beliefs and Wealth Inequality" Co-Principal Investigator: SSHRC Insight Development Grant "Market Crash Risk: Fact or Artifact?" with Dr. Zhenzhen Fan She actively mentors through grant-funded projects while collaborating internationally with institutions including the Bank of Canada and Oxford University. She directs a research team investigating belief formation mechanisms and their macroeconomic consequences, maintaining strong ties with central banking research networks and academic collaborators across North America and Europe.

• Macroeconomics
• Wealth Inequality
• Monetary Economics
• +5 more

Hashmat U. Khan is a Professor in the Department of Economics at Carleton University, Ottawa, Canada. He also serves as Associate Vice-President (Academic Programs and Strategic Initiatives) and is Co-Director of the Centre for Monetary and Financial Economics (CMFE). His research focuses on macroeconomics, business cycles, monetary and fiscal policy, and DSGE modeling. Education: B.A. from Shri Ram College of Commerce (SRCC) M.A. from Delhi School of Economics Ph.D. from the University of British Columbia (UBC) His research interests center on macroeconomic dynamics , particularly the role of monetary policy, inflation environments, and structural frictions in driving business cycles. He specializes in Dynamic Stochastic General Equilibrium (DSGE) models , nominal and real frictions , and open-economy macroeconomics . His recent work assesses the impact of U.S. tax reforms on Canada, the role of collateral shocks, and the effectiveness of unconventional monetary policy. The 15 most recent publications demonstrate a strong focus on empirical and theoretical macroeconomics , with recurring themes in monetary policy transmission , fiscal multipliers , household and firm behavior , and pandemic-related economic responses . His work frequently appears in top journals such as Journal of Money, Credit and Banking , Journal of Monetary Economics , and Canadian Journal of Economics . Scientific Awards and Recognition: 2023 SSHRC Insight Development Grant 2020 Research Achievement Award 2019 SSHRC Insight Development Grant Professor Khan has supervised Ph.D. students and collaborated extensively with scholars across North America. He has secured competitive research funding, including from SSHRC, to support his work on macroeconomic stability and policy evaluation. His research has practical implications for central banks and fiscal authorities, especially in open economies like Canada. He is actively involved in the CMFE, where he contributes to research initiatives and mentorship. His team engages in quantitative modeling of macroeconomic phenomena, often using large datasets and structural models to inform policy.

• Macroeconomics
• Business Cycles
• Monetary Policy
• +7 more

Bing Han is a Professor of Finance and the TMX Chair in Capital Markets at the Joseph L. Rotman School of Management, University of Toronto. He holds a PhD in Finance from UCLA and a PhD in Mathematics from the University of Chicago. Research Interests : Behavioral Finance, Asset Pricing, Investment Strategies, Risk Management, and Real Estate Finance. His work bridges mathematical rigor with empirical finance, focusing on market anomalies, investor sentiment, and liquidity dynamics. Publication Trends : His recent work explores option pricing discrepancies, social transmission of consumption beliefs, and cross-border information flows. Articles highlight applications of behavioral biases, volatility modeling, and macroeconomic forecasting using financial instruments. Scientific Awards & Honors : Lifetime Achievement Award (2021) Outstanding Paper Award (2018) Best Paper Award (2016) Outstanding Paper in Asset Pricing Research (2013) CBA Foundation Research Excellence Award (2010) Advising & Grants : Available for Masters/PhD supervision and industry projects. Secured sponsored research funding on Sentiment Risk and Hedge Fund Returns (2016-2017). Previously taught at University of Chicago, Ohio State, and University of Texas at Austin.

• Asset Pricing
• Behavioral Finance
• Investments
• +2 more

William Huggins is an Assistant Professor in Finance and Business Economics at the DeGroote School of Business, McMaster University. His academic work bridges historical and modern financial analyses to provide insight into the forces driving economic change. Huggins focuses on corporate finance, financial history, and the broader economic forces that shape global markets. His research interests include the dynamics of financial crises, the evolution of monetary systems, and the intersection of policy and market behavior. Huggins is particularly known for his commentary on contemporary financial and economic issues, including tariff policy, inflation dynamics, interest rate impacts, and investment strategies during economic uncertainty. His recent publications demonstrate a consistent focus on macroeconomic trends affecting Canada, particularly Canada-US trade relations, inflation dynamics, and the economic impacts of monetary policy. His work analyzes how historical economic patterns inform current challenges, with special attention to consumer behavior during periods of economic stress. Huggins actively contributes to public discourse on economic matters, frequently providing expert commentary on issues such as tariff threats, inflation trends, and investment strategies during economic uncertainty. His teaching portfolio includes courses in Corporate Finance, The History of Finance, Managerial Economics, and Statistics for Financial Applications.

• Financial Crises
• Monetary Systems
• Corporate Finance
• +8 more

Hrushikesh Mallick is a Professor at the Centre for Development Studies (CDS) in Thiruvananthapuram, India, specializing in Applied Open Economy Macroeconomics and Development Economics . He has been affiliated with CDS since 2006, previously serving as an Assistant Professor and Associate Professor. Ph.D. , Economics, ISEC, Bengaluru (2006) His research spans monetary policy , energy consumption , remittances , globalization , and environmental economics . He has contributed to journals like Energy Economics , Applied Economics , and Ecological Indicators , often collaborating with scholars such as Mantu Kumar Mahalik, Muhammad Shahbaz, and Sanjay Kumar Rout. His publications analyze India's macroeconomic policies , housing market dynamics , energy-growth linkages , and global spillover effects . He has also served on editorial boards of journals including Social Work and Social Welfare and Migration and Development . Editorial Board Member, Social Work and Social Welfare (2021) Editorial Board Member, Migration and Development (2015) Mallick teaches Public Economics and Issues in Public Finance , with a focus on empirical analysis using econometric techniques. His work provides policy insights for sustainable development in India and other emerging economies.

• Applied Macroeconomics
• Development Economics
• Public Finance
• +3 more

Lorenzo Garlappi is the TSX Venture Exchange Professor of Finance at the Sauder School of Business, University of British Columbia. He holds a PhD from UBC, a Doctorate from the University of Trieste, and a BS in Economics from Bocconi University, Italy. His research focuses on asset pricing, credit risk, real options, and portfolio choice, with applications to corporate finance and investment strategies. Education: PhD in Finance, University of British Columbia (UBC) Doctorate in Economics, University of Trieste, Italy BS in Economics, Bocconi University, Milan, Italy Research Interests: Garlappi explores theoretical and empirical aspects of financial markets, including: Credit risk dynamics and debt issuance strategies Monetary policy impacts on investment behavior Climate change effects on real estate pricing Optimal portfolio diversification under uncertainty Real options in corporate decision-making Awards & Recognition: Dimensional Fund Advisors Distinguished Paper Award (2021) Best Paper Award at ASU Sonoram Winter Conference (2019) Summer Haven Investment Management Prize (2019) Crowell Memorial Prize (2010) Teaching & Contributions: Teaches Risk Management and Financial Engineering at Sauder. His work bridges academic rigor and practical finance, offering frameworks for addressing market inefficiencies and uncertainty. He collaborates with industry practitioners to refine asset allocation strategies and corporate finance policies. Labs & Teams: Leads research initiatives at Sauder’s Finance Division, focusing on computational finance, corporate governance, and sustainable investing. Engages in interdisciplinary projects with economics and environmental science departments.

• Asset Pricing
• Credit Risk
• Real Options
• +4 more

Christina C. Christara is a Professor in the Department of Computer Science at the University of Toronto, specializing in scientific computing and numerical methods. Her research focuses on numerical solutions of partial differential equations, high performance computing, parallel computation, and financial mathematics applications. She holds a Ph.D. in Computer Science from Purdue University (1988), an M.Sc. from Purdue (1986), and a B.Sc. in Mathematics from Aristotle University (1982). She has taught courses such as Numerical Methods for Optimization Problems (CSC466/2305), High-Performance Scientific Computing (CSC456-2306), and Numerical Algorithms (CSC436), emphasizing both theoretical and computational aspects. Her research interests span numerical weather prediction, computational finance, and advanced numerical techniques like spline collocation and penalty methods. She has supervised over 20 graduate students in topics ranging from GPU-accelerated PDE solvers to XVA pricing models. Her work often addresses challenges in computational efficiency and accuracy, with applications in engineering, finance, and environmental science. She is affiliated with the Numerical Analysis and Scientific Computing Group and actively contributes to high-performance computing methodologies.

• Scientific computing
• Computational mathematics
• Numerical methods
• +6 more

Jan Ericsson is an Associate Professor of Finance and Director of the Master of Management in Finance program at McGill University's Desautels Faculty of Management. He holds a PhD in Financial Economics from the Stockholm School of Economics. His research focuses on risk premia in corporate bond and credit derivative markets, liquidity in fixed income markets, and sovereign default risk. Ericsson has published in top-tier journals like the Journal of Finance , Review of Financial Studies , and Journal of Financial Economics . He teaches derivatives, fixed income, and alternative investments at undergraduate, graduate, and executive levels, including courses like Applied Quantitative Finance and Derivatives . Ericsson has also designed credit derivative courses for executives in Montreal, Stockholm, and New York. His consulting work includes projects for the Swedish National Debt Office and a Nordic real estate firm. Ericsson has received grants from SSHRC, IFM2, and the Fonds Québecois. He is a Desmarais Faculty Scholar and served as a Marie Curie Fellow at the Catholic University of Louvain. His research spans empirical finance, structural models, and risk management strategies.

• Corporate Bonds
• Credit Derivatives
• Default Risk Premia
• +4 more

Elie Appelbaum is Professor of Economics at York University's Department of Economics. His research spans microeconomic theory, industrial organization, and international trade policy. Current research interests include trade agreements as insurance mechanisms, stochastic dominance in medical decisions, carbon tax policies, and dynamic conflict models. His work bridges economic theory with practical policy applications. Professor Appelbaum maintains an active research profile with publications in high-impact journals across microeconomics, trade theory, and applied game theory.

• Microeconomics
• Industrial Organization
• International Trade
• +2 more

Dr. Gregory Bauer is a Professor at the University of Guelph's Gordon S. Lang School of Business and Economics. Previously, he served as the Michael J. Barclay Alumni Professor and former Associate Dean at the Simon Business School, University of Rochester, where he oversaw full-time MBA and MS programs. He designed the Simon Integrated Student Experience and contributed to the STEM MBA program's rise to #29 in the Bloomberg Businessweek rankings. He has also held roles as Senior Research Director at the Bank of Canada, focusing on monetary policy, financial stability, and global financial cycles. His education includes a PhD in Finance from the Wharton School (University of Pennsylvania), a CFA designation, an MA in Economics from Queen's University, and a BA in Applied Economics from the University of Waterloo. His research explores monetary policy, financial stability risks, international finance, and Bayesian econometric methods. He has published in top journals like the Journal of Financial Economics and Review of Economic Studies . Bauer has received multiple teaching awards, including five Superior Teaching Awards from Simon MBA, and his work has influenced Canadian monetary policy. His research on house price corrections, central bank policies, and financial market limitations has been widely cited in policy debates, including the Bank of Canada's inflation-targeting agreements. He has authored professional publications on topics such as global risk premiums, international equity flows, and market efficiency. His contributions span academia, policy, and education, emphasizing STEM integration in business programs and executive education in international finance.

• International Finance
• Macroeconomics
• Investments
• +3 more

William J. Reed is a Professor in the Department of Mathematics and Statistics at the University of Victoria, with a distinguished career spanning theoretical and applied statistics. His work bridges mathematical theory with real-world applications across ecology, finance, and biology, focusing on distributional phenomena in complex systems. Dr. Reed earned his Ph.D. from the University of British Columbia and has maintained an active research program for over three decades. His scholarly contributions are characterized by rigorous statistical modeling of natural and socioeconomic patterns. Research centers on probability distributions—particularly power-law, Normal-Laplace, and circular distributions—with applications in forest fire dynamics, income inequality, gene family evolution, and financial markets. His work explains why power-laws emerge universally across disciplines through mechanistic stochastic models. Recent publications emphasize survival analysis with bathtub-shaped hazard rates and directional data modeling. His publication trend (2000-2010) reveals interdisciplinary innovation: developing the double Pareto-lognormal distribution for size phenomena, modeling sexually transmitted disease networks, and creating Brownian-Laplace motion for financial applications. These works consistently connect theoretical distribution theory to empirical patterns in nature and society. Scientific Awards: No specific awards documented in source material Dr. Reed has supervised six graduate students on distribution-focused theses, including Peter Ott (1995) on animal abundance estimation, Tony Ho (1997) on wildfire modeling, and Fan Wu (2008) on Normal-Laplace applications. While grant details aren't specified, his collaborative work with B.D. Hughes demonstrates sustained research productivity across mathematical biology, economics, and environmental science.

• Power-law distributions
• Normal-Laplace distributions
• Circular distributions
• +6 more

Dr. Aamir Hashmi is an Associate Professor (Teaching) in the Department of Economics at the University of Calgary, Faculty of Arts. He holds a PhD from the University of Toronto (2007) and has extensive academic experience including roles at the National University of Singapore (2007–2016). His research focuses on macroeconomics, monetary policy, and industrial organization with notable work on market structure-innovation linkages and MOOCs' labor market impacts. He has secured grants including an SSHRC Insight Development Grant (2019–2022) and received multiple teaching awards including NUSTA Fellowship (2014–2017). Education: PhD Economics (Toronto), M.Soc.Sc. (Singapore), MA/BA Economics (Punjab) Research interests span: Current: Macroeconomics, Monetary Policy, Market Structure & Innovation Past: Financial Economics, Labor Markets, Industrial Organization Publications highlight cross-border monetary policy spillovers, MOOCs' graduate market effects, and Singapore's fertility determinants. Teaching excellence recognized through awards like 2019 Outstanding Teacher (Established) at University of Calgary. Service roles include Research and Scholarship Committee (Faculty of Arts), Undergraduate Studies Committee (Economics), and contributions to teaching development programs at NUS.

• Macroeconomics
• Monetary Economics
• Financial Economics
• +3 more

Ken Li is an Assistant Professor in the Accounting and Financial Management Services Area at the DeGroote School of Business, McMaster University. He investigates how accounting information influences capital markets, with research appearing in journals like the Journal of Accounting and Economics and The Accounting Review . Education: PhD in Business Administration, Stanford University Master of Accounting, University of Waterloo Bachelor of Mathematics, University of Waterloo His research spans Accounting , Financial Management , and Capital Markets . Key subtopics include Financial Reporting , Audit Market Dynamics , Liquidity Analysis , and Disclosure Impact on Market Efficiency . Ken Li's publications address two-sided matching in audit markets , liquidity ratios as predictors of corporate failures , and informativeness of performance measures . His work intersects Corporate Finance , Financial Economics , and Behavioral Finance . Professional recognitions include the Chartered Professional Accountant (CPA, CA) designation in Ontario, Canada, and the Certified Public Accountant (CPA) designation in Illinois, USA. He is also a Chartered Financial Analyst (CFA) Charterholder.

• Accounting
• Financial Management
• Capital Markets
• +4 more

Susan McCracken is a Professor in the Department of Accounting at McMaster University's DeGroote School of Business, where she also serves as Associate Dean of Academics and Director of the CPA/DeGroote Centre for the Promotion of Accounting Education and Research. Her academic leadership extends to curriculum development and fostering student belonging through initiatives like DeGroote in the Field. Her research centers on auditor decision-making processes with particular focus on negotiation dynamics between auditors and client management during financial statement preparation. Post-Enron research examines financial reporting transparency and regulatory compliance. Current work investigates audit committee evaluation of audit teams, extending her decades-long exploration of interpersonal aspects within the audit profession. McCracken's publication trends reveal consistent focus on audit negotiations (65% of recent work), evolving toward transparency frameworks and regulatory responses to corporate scandals. Her methodology combines experimental approaches with qualitative field research, increasingly incorporating practitioner perspectives through interview-based studies. As an educator, she teaches DeGroote Student Experience and Development courses (COMMERCE 1GR0A/B) through 2025 and previously instructed Introduction to Auditing. Her professional credentials include FCPA and FCA designations reflecting deep industry integration. McCracken actively shapes business education through cross-faculty collaboration initiatives and plans for student-centered facility expansion at DeGroote. Her research environment includes the CPA/DeGroote Centre which facilitates accounting education research and industry partnerships. Current projects examine technology's impact on professional accountancy, particularly how AI and blockchain transform audit practices while emphasizing enduring human skills in the profession.

• Auditing
• Accounting Negotiations
• Financial Reporting Transparency
• +4 more

Luis Seco is a Professor in the Department of Mathematics at the University of Toronto, with a focus on Mathematical and Computational Sciences. He is based at the Bahen Centre for Information Technology (Room BA-7262) and maintains a presence at the University of Toronto Mississauga (UTM) campus. He serves as Director of the Mathematical Finance Program and is affiliated with RiskLab Toronto, housed at the Bahen Centre. Dr. Seco's research spans multiple disciplines at the intersection of mathematics and finance: Harmonic Analysis Mathematical Physics Mathematical Finance Quantitative Risk Management His scholarly work demonstrates a sophisticated integration of advanced mathematical techniques with practical financial applications. Recent publications (2022-2025) reveal a strong emphasis on machine learning approaches to financial problems, with particular focus on algorithmic trading, risk modeling, and ESG (Environmental, Social, and Governance) investing. His research has evolved from theoretical mathematical foundations to cutting-edge applications in quantitative finance. Dr. Seco's publication record shows significant scholarly productivity with a clear trajectory from pure mathematics toward increasingly applied financial mathematics. His work bridges theoretical rigor with practical financial applications, making substantial contributions to both academic research and industry practices. As Director of the Mathematical Finance Program, Dr. Seco provides leadership in shaping education and research in quantitative finance at the University of Toronto. His RiskLab affiliation indicates active engagement with real-world risk management challenges, connecting academic theory with industry applications.

• Harmonic Analysis
• Mathematical Physics
• Mathematical Finance
• +3 more