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Kevin PisciottaView profile

Assistant Professor

• Empirical Corporate Finance
• Initial Public Offerings (IPOs)
• Information Intermediaries
• +5 more

Kevin Pisciotta is an Assistant Professor of Finance at the University of Kansas School of Business, specializing in empirical corporate finance, initial public offerings (IPOs), and information intermediaries. His work bridges corporate finance theory with real-world market dynamics, focusing on IPO processes, analyst behavior, and economic impacts of social issues like opioid abuse and sports betting. Education: Ph.D. in Business Administration, Pennsylvania State University M.S. in Finance, University of Delaware B.S. in Finance, University of Delaware Research Interests: His research explores how IPO bookbuilding mechanisms influence market outcomes, the role of sell-side analysts in information dissemination, and the macroeconomic consequences of phenomena like opioid abuse and sports gambling. He also investigates labor economics through the lens of corporate innovation and workforce productivity. Publications Trends: Recent work examines the interplay between sports betting and household financial stability (2024), IPO marketing strategies post-JOBS Act reforms (2018), and the spillover effects of opioid abuse on regional innovation ecosystems (2023). His studies frequently employ large-scale datasets to analyze market microstructure and policy impacts. Grants/Advising: No specific grants or advisee names are listed in available materials. Teaching experience includes undergraduate courses in investments, international finance, and corporate financial management. Labs/Teams: No dedicated lab affiliation is mentioned, though collaborations with institutions like Pennsylvania State University and the University of Delaware are implied through his educational background and co-authorships.

• Data Science
• Numerical Optimisation
• Medical Imaging
• +3 more

Raphael Hauser is an Associate Professor in Numerical Mathematics at the University of Oxford's Mathematical Institute, Director of Graduate Studies - Teaching, and Tanaka Fellow in Applied Mathematics at Pembroke College. His affiliations include membership in the Data Science, Numerical Analysis, and Mathematical and Computational Finance research groups, as well as a fellowship at the Alan Turing Institute. Education: PhD in Operations Research, Cornell University, Ithaca, USA Dipl. Math. ETH, Swiss Federal Institute of Technology (ETH Zurich), Switzerland Research interests span data science, numerical optimisation, medical imaging, distributed computing, and applied probability/statistics. His work integrates mathematical rigor with practical applications, particularly in optimization algorithms, machine learning theory, and medical imaging technology. Publications focus on optimization theory, stochastic processes, medical imaging systems, and computational finance, with recurring themes in non-convex optimization guarantees, PCA variants, and X-ray tomography innovations. Awards: Oxford University Teaching Award (2007) SIAM Optimization Prize (2005) SIAM Student Paper Prize (2000) Advising includes 15+ DPhil students and 40+ MSc students, with projects in optimization, finance, imaging, and machine learning. Current postdocs and students are affiliated with the Alan Turing Institute and industrial partners like Siemens and Macquarie Group. He leads teams in the Mathematical Institute's research groups and collaborates with the Alan Turing Institute on large-scale data science initiatives.

Robert P. BartlettView profile

Professor

• Law and Finance
• Venture Capital Finance
• Market Structure
• +3 more

Robert P. Bartlett is the W. A. Franke Professor of Law and Business at Stanford Law School and a courtesy Professor of Finance at the Stanford Graduate School of Business. He serves as Co-Director of the Arthur and Toni Rembe Rock Center for Corporate Governance. Previously, he held roles at UC Berkeley School of Law and the University of Georgia School of Law, and practiced corporate law at Gunderson Dettmer. He earned his JD (2000) and BA (1996) from Harvard University. His research focuses on law and finance, particularly venture capital, market structure, corporate governance, and capital market regulation. Key areas include fractional shares' impact, odd-lot trading dynamics, and ESG integration in executive compensation. Recent articles address hidden liquidity, venture capital contract standardization, and fintech-driven consumer lending discrimination. Bartlett’s work bridges legal and financial disciplines, influencing policy debates on market transparency, regulatory frameworks, and corporate accountability. He has contributed to prominent journals like the Journal of Financial Economics and Review of Financial Studies , and authored book chapters on venture capital valuation. His affiliations include the Stanford Institute for Economic Policy Research and leadership roles in academic centers fostering corporate governance research.

• Macro-Finance
• International Finance
• Empirical Asset Pricing
• +5 more

Philippe Mueller is a Professor of Finance at Warwick Business School (University of Warwick) and a leading researcher in macro-finance, international finance, and asset pricing. He previously held positions at the London School of Economics (2008–2017) and earned his PhD from Columbia University. His research focuses on factors driving asset prices, foreign exchange markets, corporate credit, and central bank policies. Mueller has published in top journals such as the Journal of Finance and Journal of Financial Economics , and his work on corporate bond pricing won the Fama-DFA Prize (2023). Education: PhD in Finance and Economics, Columbia University, 2008 MBF, Master of Science in Banking and Finance, Université de Lausanne, 2002 lic. rer. pol., Universität Bern, 1999 Research Interests: His primary research areas include asset pricing, financial econometrics, and international finance with a focus on fixed income markets, corporate credit provision, and monetary policy impacts. Recent work examines intraday foreign exchange patterns, central bank swap lines, and volatility dynamics in fixed income and currency markets. Teaching & Grants: Mueller teaches advanced courses in asset pricing and fixed income at Warwick. He has secured grants from the BA/Leverhulme Trust, BIS Research Fellowship, and INQUIRE Europe. His work is supported by collaborations with institutions like the Swiss National Bank and ECB. Awards & Recognition: Fama-DFA Prize for best asset pricing paper (2023) BIS Research Fellowship (2025–2027) Walter Wasserfallen Prize (2000) Professional Activities: He serves on programme committees for major finance conferences (EFA, WFA) and referees for top journals including Journal of Political Economy and Econometrica .

Alexandre RUBESAMView profile

Associate Professor

• Finance
• Asset Pricing
• Financial Econometrics
• +5 more

Alexandre RUBESAM is an Associate Professor at IÉSEG School of Management (France), specializing in Finance with a focus on asset pricing, financial econometrics, and quantitative trading. He holds a Ph.D. in Finance from Cass Business School (UK), an MSc in Statistics from the State University of Campinas (Brazil), and a Bachelor in Statistics from the same university. Education: Ph.D., Finance, Cass Business School, UK (2008) MSc., Statistics, State University of Campinas, Brazil (2004) Bachelor, Statistics, State University of Campinas, Brazil (2001) His research interests span behavioral finance, risk management, machine learning applications in finance, and portfolio optimization. Notably, he explores topics like market herding during crises, volatility forecasting, and the low-beta anomaly through behavioral lenses. Prof. Rubesam has authored influential papers on information transmission in financial markets, risk parity strategies, and the efficacy of linear models in volatility prediction. His work bridges theoretical finance with practical applications, such as developing machine learning-based portfolio construction methods for emerging markets. Awards: 2007 Dimitris N. Chorafas Foundation Prize 2006 Best Paper Award, Cass Business School His professional roles include Chief Risk Officer at Itaú-Unibanco (2013–2017) and Quantitative Researcher/Trader at Principia Capital Management (2009–2011). He is a member of LEM (Laboratory of Economics and Management) and teaches courses on financial programming, risk management, and portfolio analysis.

Bruce HearnView profile

Professor

• Corporate Governance
• International Comparative Governance
• Asset Pricing
• +3 more

Bruce Hearn is a Full Professor of Governance at the University of Southampton's Southampton Business School. He holds senior academic roles including former Director of PhD Programs and has taught at multiple institutions globally. His research focuses on international corporate governance in emerging economies, with over 60 journal articles in top-tier journals like Journal of Corporate Finance and International Business Review . He leads projects on governance in Africa, the Caribbean, and offshore financial centers. Bruce has editorial roles in journals such as Research in International Business & Finance and International Journal of Emerging Markets . He has been a visiting professor at Aalto University and Armenian State University of Economics. Education: PhD in Governance, King's College London (ESRC-funded) MSc International Business, Birkbeck, University of London BSc, University of Edinburgh Research Interests: Bruce explores governance frameworks in emerging markets, asset pricing dynamics, and institutional impacts on multinational enterprises. His work bridges corporate governance theory with practical applications in frontier markets, emphasizing cross-border comparisons and development finance challenges. Grants & Awards: Finance Track Best Paper Prize, European International Business Academy (2017) AIB UK & Ireland “Michael Z. Brooke” Doctoral Prize (2007) External Roles: Editorial board member of Research in International Business & Finance , Chair of South Africa's National Research Foundation, and frequent speaker at global academic conferences. Labs/Teams: Active in the Centre for Research in Accounting, Accountability and Governance and the Centre for Accounting Education (CAE).

• Economics
• International Macroeconomics
• Cost-Benefit Analysis
• +4 more

Assoc Prof Chia Wai Mun is an Associate Professor of Economics and Associate Chair (Academic) at the School of Social Sciences, Nanyang Technological University (NTU). She holds a PhD from NTU, MSc from the London School of Economics, and BSc from the University of London, all in economics. Her research focuses on international macroeconomics, cost-benefit analysis, transboundary pollution, and environmental policy. Prof Chia has served as a consultant to Singaporean government agencies including the National Environment Agency (NEA), Central Narcotics Bureau (CNB), and ASEAN Secretariat. She currently co-directs NTU's Economic Growth Centre and serves as Treasurer of the Economic Society of Singapore. Awards include the Nanyang Education Award (2021) and Singapore National Day Commendation (2011). Her work bridges macroeconomic theory with policy applications, particularly in environmental valuation and international financial dynamics. Recent research explores behavioral heterogeneity in financial markets, optimal monetary policy frameworks for emerging economies, and the economic impacts of transboundary environmental issues.

Stefano RossiView profile

Professor

• Corporate Governance
• Bankruptcy and Financial Distress
• Debt Financing
• +4 more

Stefano Rossi is a Full Professor of Finance at Bocconi University's Department of Finance, serving as Chair of the Department. He holds affiliations with the Centre for Economic Policy Research (CEPR) and the European Corporate Governance Institute (ECGI), and serves on editorial boards for journals including Journal of Law, Finance, and Accounting and European Financial Management . His research focuses on corporate governance, bankruptcy, debt financing, sovereign borrowing, and quantitative trading, with publications in top journals such as The Journal of Finance and Journal of Monetary Economics . He has received international recognition, including awards for his work on ownership evolution. Prior to Bocconi, he taught at institutions including the Stockholm School of Economics and Cornell University. He earned his BA/MSc from Bocconi and a PhD in Finance from London Business School. Prof. Rossi's research explores intersections between corporate finance and public policy, with recent work analyzing credit cycles, municipal bankruptcy law, and liquidity shocks in insurance markets. His articles frequently address systemic financial risks and institutional frameworks governing corporate and sovereign debt. Awards include the ECGI Best Paper Prize for his collaborative research on ownership dynamics. Teaching spans corporate finance, valuation, and financial markets at undergraduate, graduate, and executive levels. He has developed courses at Bocconi's undergraduate, MBA, and PhD programs, emphasizing practical applications of theoretical finance models. His comprehensive curriculum includes mergers & acquisitions and private equity strategies. Key contributions include studies on shareholder voting mechanisms, sovereign default dynamics, and the impact of tax policies on corporate behavior. His work often bridges academic rigor with real-world policy implications, influencing both academic discourse and regulatory practices.

• Artificial Intelligence
• Computational Game Theory
• Multi-Agent Systems
• +4 more

Michael P. Wellman is a Professor of Computer Science and Engineering at the University of Michigan, specializing in computational game theory and its applications to economics and finance. He has advised 28 PhD graduates and currently mentors 6 students, emphasizing independent research and tailored advising approaches. His work focuses on multi-agent systems, strategic interactions, and agent-based modeling of financial markets. He holds the endowed Lynn A. Conway Professorship and created the Morris Wellman Faculty Development Professorship. His research group meets weekly for progress reports, paper discussions, and practice presentations. Wellman encourages internships, teaching experience, and conference participation (e.g., ICAIF, AAMAS, EC) to foster career readiness. His scientific contributions span empirical game-theoretic analysis (EGTA), market manipulation detection, and cybersecurity strategies. He prioritizes student independence, collaborative problem-solving, and ethical considerations in AI-driven financial systems.

Tim JenkinsonView profile

Professor

• Private Equity
• Initial Public Offerings (IPOs)
• Institutional Asset Management
• +4 more

Tim Jenkinson is a Professor of Finance at the Saïd Business School, University of Oxford. He holds dual roles as a Professorial Fellow at Keble College and a Research Associate at the European Corporate Governance Institute. His expertise spans private equity, IPOs, and institutional asset management, with a focus on empirical research leveraging unique industry data. Education: B.A. in Economics from the University of Cambridge, Thouron Fellowship at the University of Pennsylvania, DPhil in Economics from the University of Oxford. Research Interests : Tim’s work examines private equity performance persistence, IPO pricing dynamics, and regulatory impacts on financial markets. His studies have been published in top journals like Journal of Financial Economics and Management Science . Key Contributions : Director of the Oxford Private Equity Institute, founder of the Private Equity Research Consortium, and frequent keynote speaker at global finance events. His research has won major awards, including the Harry Markowitz Prize (2016) and Commonfund Prize (2015). Engagement & Teaching : Teaches entrepreneurial finance to MBA/EMBA students and runs the Oxford Private Equity Programme. Recognized with the 2014 'Best Elective Teacher' award. Also serves on valuation committees for Schroder British Opportunities Trust and Oxford University Endowment Management. Professional Roles : Partner at Oxera (economic consultancy), former UK Treasury Select Committee advisor, and expert witness in high-profile litigation. His work bridges academia and practice, influencing policy and industry standards. Labs & Initiatives : Leads the Oxford Private Equity Institute and collaborates with the Oxford-Hyundai Motor Group Foresight Centre. Active in shaping future research through the Private Equity Research Consortium.

Jiang WangView profile

Professor

• Financial Economics
• Asset Pricing
• Market Liquidity
• +5 more

Jiang Wang is the Mizuho Financial Group Professor at the MIT Sloan School of Management, where he has been a faculty member since 1990, progressing from Assistant Professor to his current named professorship. He holds appointments in the Finance department and maintains an active research program in financial economics. Massachusetts Institute of Technology, Sloan School of Management (2005-present) MIT Sloan School of Management: Assistant Professor (1990-1994), Associate Professor (1994-1998), Professor (1998-1999), NTU Professor (1999-2005) Wang's research focuses on financial economics, asset pricing, market liquidity, trading volume, and financial market microstructure , with significant contributions to understanding information dynamics in markets. His work bridges theoretical models with empirical analysis, particularly in Chinese capital markets. Wang has developed influential theories on liquidity, trading volume, and market efficiency that have shaped modern financial economics. His recent publications demonstrate continued scholarly productivity, with research spanning market uncertainty, circuit breakers, repo markets, and Chinese financial markets. Wang's work integrates theoretical modeling with empirical validation, maintaining relevance to both academic discourse and practical market concerns. China Economics Prizes (2018) Smith Breeden Prize (2007, 2006) New York Stock Exchange Award FAME Research Prize (2004) Trefftz Award, Western Finance Association (1990) Wang has advised numerous doctoral students and supervised significant research projects, though specific student names aren't listed in the available materials. His extensive grant history includes multiple NSF awards and industry-sponsored research. Wang has held leadership positions including President of the Western Finance Association (2017-2018) and Director of the China Center for Financial Research at Tsinghua University (2002-2014). His academic service includes editorial roles for major finance journals and advisory positions with institutions including the Federal Reserve Bank of New York, Nasdaq Stock Market, and China Securities Regulatory Commission.

• Nuclear Magnetic Resonance (NMR)
• In vivo imaging
• MRI pulse sequence development
• +7 more

Professor Guy Williams is a leading academic at the University of Cambridge with a focus on imaging science and clinical neurosciences, affiliated with Downing College and the Wolfson Brain Imaging Centre . Holding a PhD in Physics from his initial Natural Sciences degree, he specializes in nuclear magnetic resonance (NMR) and MRI techniques for brain imaging. Education: BA, PhD in Physics His research centers on non-invasive imaging of brain structure and function, particularly in traumatic brain injury (TBI) and dementia. His work involves developing novel MRI pulse sequences and advanced data analysis algorithms, including AI-based diagnostic tools. He leads studies on white matter integrity post-trauma, longitudinal dementia assessment, and applications of MRI in disorders of consciousness and addiction. Recent publications highlight collaborations in traumatic brain injury outcomes, AI-guided dementia prediction, and neuroimaging of post-COVID cognitive deficits. His team's work on ultra-high field laminar fMRI and distortion correction methods has advanced clinical neuroscience applications. Key techniques include diffusion tensor imaging (DTI), 7 Tesla MRI, and positron emission tomography (PET/MR). His research spans from basic NMR physics to clinical translation, with a strong emphasis on multi-site studies and real-world diagnostic implementation.

Ronnie SircarView profile

Professor

• Financial mathematics
• Stochastic models
• Market volatility
• +5 more

Ronnie Sircar is the Eugene Higgins Professor of Operations Research and Financial Engineering at Princeton University , where he contributes to the Department of Operations Research and Financial Engineering (ORFE). His work spans financial mathematics, stochastic modeling, and applied probability, with a focus on market volatility, optimal investment strategies, and dynamic game theory. Email: sircar@princeton.edu Office: Sherrerd Hall, Room 208, Princeton, NJ 08544 His research interests include: Stochastic Volatility: Asymptotic analysis, calibration, and impact on option pricing and portfolio optimization. Mean Field Games: Applications to cryptocurrency mining, energy markets, and interbank network formation. Portfolio Theory: Forward performance processes, drawdown constraints, and risk-averse strategies. Credit Risk: Multi-name credit derivatives, CDO valuation, and risk measures. Energy Systems: Renewable reliability, unit commitment, and electricity market design. Recent publications emphasize mean field games in energy and blockchain, stochastic volatility in portfolio optimization, and machine learning applications for financial engineering. He has advised graduate students such as Giulia Crippa, Nicolas Garcia, and Burak Aydin, often collaborating with researchers including M. Soner, P. Chan, and A.M. Reppen.

• Stochastic Analysis
• Mathematical Finance
• Systemic Risk
• +2 more

Rama Cont is Statutory Professor of Mathematics at the University of Oxford and Head of the Oxford Mathematical and Computational Finance Group. He holds additional positions as Senior Research Fellow at the Institute for New Economic Thinking and Director of the Oxford Martin Programme on Systemic Resilience. Cont's research focuses on stochastic analysis and mathematical finance, particularly modeling extreme market risks, systemic risk, and developing pathwise approaches in stochastic analysis. His recent work explores causal functional calculus, fractional Ito calculus, and analysis of deep neural networks. His publications demonstrate consistent development of mathematical frameworks for financial risk analysis, including recent advances in causal transport theory and market microstructure modeling. Cont received the Louis Bachelier Prize in 2010 and was elected SIAM Fellow in 2017 for contributions to stochastic analysis and financial modeling.

• Market Microstructure Theory
• Digital Finance
• Fintech
• +5 more

Prof. Dr. Peter Gomber is Chair of e-Finance at the Faculty of Economics and Business, Goethe University of Frankfurt, Germany. He serves as Co-Chairman and member of the Board of the 'efl – the Data Science Institute', an industry-academic partnership between Frankfurt and Darmstadt Universities and leading industry partners. Additionally, he is a member of the Exchange Council of the Frankfurt Stock Exchange, Supervisory Board of Clearstream Banking AG, and Research Fellow at the Leibniz Institute for Financial Research SAFE in Frankfurt. Prof. Gomber received his Ph.D. at the Institute of Information Systems at the University of Giessen in 1999 after graduating in Business Administration. Before joining Goethe University in 2004, he worked for five years as Director, Head of Market Development Cash Markets and Xetra Research at Deutsche Börse AG, where he developed new market models and products for cash market trading on Xetra. His research focuses on market microstructure theory, digital finance and fintech, regulatory impact on financial markets, and electronic trading systems. With over 150 publications in leading international journals, his work has significantly influenced the field, particularly his highly cited papers on the Fintech Revolution. His recent research examines market fragmentation, circuit breakers, research unbundling under MiFID II, and the application of AI in financial markets. Prof. Gomber's extensive publication record shows a clear evolution from traditional market microstructure and electronic trading systems toward digital finance, fintech innovations, and regulatory impact analysis. His work bridges technical aspects of financial markets with regulatory considerations, demonstrating how technological innovations interact with market structure and regulation. His scientific recognition includes: IBM Shared University Research Grant (2007) Reuters Innovation Award (2000) Best Paper Award of the Journal of the Association for Information Systems (2020) Best Information Systems Publications Award (2020) Top 1 and Top 3 most cited articles in Fintech research (2025 bibliometric analysis) Prof. Gomber has successfully supervised numerous PhD students, including Tino Cestonaro who won the Best PhD Paper Award 2025. He has acquired significant research funds from both public institutions and the private sector. Notably, a market model invention by Prof. Gomber was granted a patent by the United States Patent and Trademark Office, with two additional market model inventions filed for patent in Europe and the US. He leads an active research team at the Chair of e-Finance, including researchers like Benjamin Clapham, Micha Bender, and Tino Cestonaro. The team collaborates closely with the efl – the Data Science Institute and the Leibniz Institute for Financial Research SAFE, bridging academic research with practical applications in financial markets.