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Khaled AmiraView profile

Associate Professor

• Corporate Finance
• Financial Markets
• Ambiguity in Finance
• +3 more

Dr. Khaled Amira is an Associate Professor in the Department of Finance at St. Bonaventure University's School of Business. He has extensive academic experience, having previously taught at Ohio University, Auburn University, Syracuse University, and others. His research focuses on ambiguity in corporate finance and financial markets. Dr. Amira holds a Ph.D. in Finance from George Washington University (1999), an M.S. in Financial Economics from the University of Maryland (1993), an MBA in International Business from George Washington University (1989), and a B.S. in Economics from the University of Tunis (1984). He also worked as an Account Officer at Tunis International Bank before entering academia. Dr. Amira has received the 1996-1997 Senior Teaching Award for Excellence in Teaching at George Washington University. His research interests include corporate governance, asset pricing, international equity correlations, and sovereign bond dynamics. He has published extensively on topics such as leverage effects, competition among stock exchanges, and global bond pricing structures. His work bridges theoretical finance with practical applications in corporate decision-making and market analysis. Education Ph.D., Finance, George Washington University, 1999 M.S., Financial Economics, University of Maryland, 1993 M.B.A., International Business, George Washington University, 1989 B.S., Economics, University of Tunis, 1984 Awards 1996-1997 Senior Teaching Award for Excellence in Teaching (George Washington University) Dr. Amira’s academic career spans multiple institutions, emphasizing both teaching and research. His publications analyze market structures, corporate finance challenges, and global financial instruments. He actively contributes to academic conferences and has explored topics ranging from volatility impacts on equity correlations to the pricing mechanisms of bearer vs. registered bonds.

Lars Augestad LochstoerView profile

Professor

• Asset Pricing
• Asset Management
• Quantitative Finance
• +5 more

Lars Augestad Lochstoer is a Professor of Finance at the UCLA Anderson School of Management, where he teaches Empirical Methods in Finance and Data Analytics and Machine Learning in the Master of Financial Engineering program. He previously held faculty positions at Columbia University and London Business School, and served on the Asset Allocation Advisory Committee for the Norwegian Sovereign Wealth Fund from 2016 to 2022. Dr. Lochstoer earned his Ph.D. in Finance from the University of California, Berkeley's Haas School of Business in 2005, following his Sivilingeniør Business Economics degree from the Norwegian University of Science and Technology in 1999. His research focuses on understanding the economic mechanisms that drive asset prices, including stock market return dynamics, cross-sectional stock returns, exchange rates, and commodity markets. He has made significant contributions to asset pricing literature, particularly in volatility expectations, risk-return tradeoffs, and currency risk. His publication record reveals a strong focus on behavioral aspects of asset pricing, with recurring themes of investor expectations, volatility dynamics, and market anomalies. His work often combines theoretical models with empirical evidence, frequently incorporating quantitative methods and data science approaches. Recent publications show increasing attention to currency risk and multi-horizon risk-return relationships, reflecting evolving market conditions and research interests. EFA Viz Risk Management Prize for best paper in Energy Markets, Securities and Prices (2009) Michigan Ross School of Business Mitsui Finance Symposium Best Discussant Award (2012) UCLA Anderson Excellence in Teaching Award (2017, 2020, 2021) RFS Distinguished Referee Award (2021) As an active member of the academic finance community, Lochstoer serves as an associate editor for the Review of Finance and the Critical Finance Review, having previously served in the same capacity for the Review of Financial Studies. His professional service includes committee roles in major finance associations and extensive reviewing for top finance and economics journals. He has also contributed to practical finance through his service on the Asset Allocation Advisory Committee for the Norwegian Sovereign Wealth Fund.

John Y. CampbellView profile

Professor

• Financial Economics
• Macroeconomics
• Asset Pricing
• +3 more

John Y. Campbell is the Morton L. and Carole S. Olshan Professor of Economics at Harvard University, affiliated with the Department of Economics within the Faculty of Arts and Sciences. He is on leave during Fall 2024 and Spring 2025. His research focuses on financial economics and macroeconomics, including asset pricing, household finance, and portfolio choice. Campbell has authored influential books such as Fixed: Why Personal Finance is Broken (2025) and Financial Decisions and Markets (2018). He served as President of the American Finance Association (2005), delivered the American Economic Association’s Ely Lecture (2016), and holds honorary doctorates from multiple institutions. His roles include Research Associate (former Director) at NBER’s Program in Asset Pricing, and board member of Arrowstreet Capital, a quantitative asset management firm. Education: Honorary doctorates from BI Norwegian Business School, Maastricht University, University of Paris Dauphine, and Copenhagen Business School. Professional affiliations include Fellowships with the Econometric Society, American Academy of Arts and Sciences, British Academy, and honorary fellowships at Oxford’s Corpus Christi College. Research interests emphasize asset pricing dynamics, macroeconomic influences on financial markets, and household financial decision-making. His work integrates empirical methods to address policy-relevant questions in consumer finance and institutional investing. Recent trends in his publications focus on systemic risk, mortgage market design, and sustainable long-term investment strategies. Key contributions include analyzing fiscal policy impacts, equity valuation frameworks, and behavioral biases in household finance. Scientific awards highlight his academic leadership: multiple honorary degrees, prestigious fellowships, and recognition in global economic institutions. His advisory roles extend to policy-making via the Squam Lake Report (2010) and co-founding Arrowstreet Capital, applying academic insights to practical asset management challenges. Grants and advising: Campbell’s research has been supported by NBER and institutional partnerships. He advises on macroeconomic stability, financial regulation, and university endowment management strategies. His work often bridges theory and practice, influencing both academic discourse and real-world financial systems.

Paolo CollaView profile

Associate Professor

• Asymmetric Information in Financial Markets
• Corporate Finance
• Market Fragmentation
• +3 more

Paolo Colla is an Associate Professor of Finance at Bocconi University and serves as Director of the International Economics and Finance B.Sc. Program. His research focuses on asymmetric information in financial markets, corporate financing strategies, and market fragmentation. He has published extensively in leading journals such as the Journal of Finance and Review of Financial Studies. Key topics include price manipulation in FX markets, debt structure dynamics, and the impact of legal frameworks on financial instruments. His work bridges theoretical finance with practical applications, addressing issues like sovereign debt pricing and regulatory policy implications. Teaching responsibilities include courses on financial modeling, derivatives, and institutional finance. His research has explored diverse themes, including the dissemination of short-sellers' information and strategic trading behaviors in fragmented markets. Despite no explicit mention of awards or grants, his prolific publication record underscores his scholarly contributions to corporate finance and financial markets.

• Financial Mathematics
• Stochastic Processes
• Credit Risk Modeling
• +3 more

Assoc. Prof. Zehra Eksi-Altay holds a position at the Institute for Statistics and Mathematics at Vienna University of Economics and Business (WU). Her research focuses on financial mathematics, stochastic modeling, and partial information control problems in finance. She has expertise in credit risk modeling, derivatives pricing, and commodity markets. Eksi-Altay has a PhD in Financial Mathematics (2011) and completed her Habilitation in 2017. She has advised one doctoral thesis and has published extensively in top-tier journals like Quantitative Finance and Journal of Computational and Applied Mathematics . Her work bridges theoretical advancements with practical applications in areas such as regime-switching models, optimal portfolio strategies, and liquidity analysis. Education: BSc, MSc (2005), PhD (2011) Habilitation: 2017 Key Research Themes: Partial Information Models, Stochastic Control, Credit Risk, Algorithmic Trading Her recent work explores regime-switching affine term structures, optimal trading strategies under uncertainty, and dark pool liquidity analysis. Eksi-Altay has received one academic prize, though its specific name is not detailed in the provided text. Her contributions span both theoretical developments and applied finance, often collaborating with institutions like WU’s Institute for Statistics and Mathematics.

Viral V. AcharyaView profile

Professor

• Financial Regulation
• Systemic Risk
• Monetary Economics
• +8 more

Viral V. Acharya is the C.V. Starr Professor of Economics in the Department of Finance at New York University Stern School of Business. He is a Research Associate at the National Bureau of Economic Research (NBER), a Research Affiliate at the Center for Economic Policy Research (CEPR), and a Research Associate at the European Corporate Governance Institute (ECGI). He previously served as Deputy Governor of the Reserve Bank of India (2017–2019), with responsibilities in monetary policy, financial markets, and financial stability. He is currently Director of Doctoral Education at NYU Stern (2025–), Advisor to the NYU Stern Henry Kaufman Initiative on Financial History (2023–2026), and a Scientific Advisor to the Sveriges Riksbank (2024–). He is also a member of the Climate-related Financial Risk Advisory Committee (CFRAC) of the Financial Stability Oversight Council (2023–2026), the Bellagio Group, and the Financial Advisory Roundtable of the Federal Reserve Bank of New York. Education: B.Tech. in Computer Science and Engineering, Indian Institute of Technology, Mumbai (1995) Ph.D. in Finance, New York University Stern School of Business (2001) His research focuses on systemic risk, financial regulation, sovereign and financial linkages, credit and liquidity risk, and the macroeconomic implications of financial frictions. He has also recently explored risks related to pandemics and climate change. His recent publications examine commercial real estate exposure in banks, spillover risks from non-banks, U.S. Treasury market dynamics, and industrial policy in India. The body of work consistently emphasizes financial stability, regulatory design, and the interaction between public policy and financial markets. Scientific Awards: Alexandre Lamfalussy Senior Research Fellowship, Bank for International Settlements (2017) Inaugural Banque de France – Toulouse School of Economics Junior Prize (2011) Senior Houblon-Norman Research Fellowship, Bank of England (2008) Clarivate Analytics Highly Cited Researcher (2020–2022) Acharya has held numerous editorial and leadership roles, including Editor of the Journal of Law, Finance and Accounting (2014–2016, 2020–), member of the Editorial Committee of the Annual Review of Financial Economics (2022–), Board Member of the American Finance Association (2024–), and Director of the Western Finance Association (2012–2015). He has served as an Academic Advisor to multiple Federal Reserve Banks and international institutions including the IMF, World Bank, and BIS. He advises on financial policy globally and is a frequent commentator in major media outlets. He is not known to advise specific students, but his leadership in doctoral education at NYU Stern underscores his role in mentoring the next generation of finance scholars. He is affiliated with research centers and policy initiatives focused on financial history, climate risk, and financial stability.

• Applied Mathematics
• Financial Mathematics
• Numerical and Computational Mathematics
• +3 more

Xiaoping Lu is an Associate Professor at the School of Mathematics and Applied Statistics, University of Wollongong, Australia. She has served as Academic Program Director for the Bachelor of Mathematics (Advanced) program since 2008 and holds an ORCID identifier (0000-0003-1090-8437). Her research focuses on applied mathematics and financial mathematics, particularly in option pricing, stochastic volatility models, and computational finance. Research Themes: Transaction cost modeling, regime-switching financial markets, numerical methods for PDEs, utility-indifference valuation, and stochastic optimization algorithms. Awards: 2024 AustMS-WIMSIG Anne Penfold Street Award 2024 Cheryl E. Praeger Travel Award Leadership: President of the Asia Pacific Consortium of Mathematics for Industry (APCMfI) since 2024; leadership roles in ANZIAM and WIMSIG committees. Teaching: Coordinated courses like MATH142, MATH141, and MATH283; currently available for PhD supervision in topics including financial derivatives and stochastic liquidity risk. Funding: Contributed to grants like 'The AI Tutor' (2024) and industry partnerships for advanced mathematics education.

• Energy Finance
• Renewable Energy
• Sustainable Finance
• +4 more

Christina Nikitopoulos Sklibosios is an Associate Professor in the Finance Discipline Group at the University of Technology Sydney (UTS) Business School. She specializes in energy finance, renewable energy economics, sustainable finance, and commodity markets. Her research focuses on analyzing price dynamics and volatility in energy markets, particularly addressing challenges posed by renewable energy integration, green bond markets, and climate transition risks. She has held leadership roles including Finance PhD Program Coordinator (2015–2023) and currently serves on the UTS Business School's Faculty Board and HDR Director (acting). Education: Doctoral and academic background in finance and energy economics (details not explicitly provided in texts). Her research projects include modeling electricity prices in Australia’s National Electricity Market (NEM), assessing renewable energy impacts on grid stability, and evaluating green bond premiums. Key grants include ARC grants on energy market volatility and climate risk (2010–2017), and recent awards such as the UTS Strategic Research Accelerator grant (2024–2025) for net-zero decision-making tools. Research interests span energy economics, sustainable finance mechanisms, and commodity market dynamics. She collaborates with international organizations like CEMA, IAEE, and AFFECT, and contributes to policy discussions on energy transition and financial market reforms.

• Sustainable Finance
• Corporate Finance
• Climate Risk Assessment
• +5 more

Prof. Michael HALLING is a Full Professor in Sustainable Finance at the University of Luxembourg's Faculty of Law, Economics and Finance, Department of Finance. His work focuses on sustainable finance, corporate finance dynamics, climate risk assessment, and financial regulation. He holds the prestigious Chair in Sustainable Finance and has published extensively on topics like MiFID II compliance, mutual fund fee structures, and post-pandemic market recovery. Contact: michael.halling@uni.lu Research Interests : Prof. HALLING’s research bridges theoretical finance with practical applications, emphasizing sustainable investment practices, corporate debt management, and regulatory frameworks. Key themes include: Climate risk modeling using public news sentiment analysis Impact of behavioral preferences on corporate investment decisions Automated compliance systems for financial institutions Market dynamics during crises (e.g., pandemic effects on capital access) Recent Publications Trends : Recent works analyze MiFID II regulatory impacts (2024), stochastic modeling of corporate investment (2023), and firm-specific climate risk quantification. His 2020 studies explored pandemic-driven shifts in corporate financing strategies. Awards : No awards explicitly mentioned in the provided texts. Grants & Advising : No student advisees or grant details provided in available data. Labs/Teams : No specific research group affiliations listed.

Cody HyndmanView profile

Professor

• Mathematical Finance
• Computational Finance
• Probability and Stochastic Analysis
• +4 more

Cody Hyndman is a Full Professor and Acting Department Chair at the Department of Mathematics and Statistics, Concordia University, with a focus on Mathematical Finance, Machine Learning, and Stochastic Analysis. He has held significant administrative roles including Department Chair (2017–2023) and Acting Graduate Programs Director (2025–2025). Education: PhD, University of Waterloo (2005) MSc, University of Alberta BCom, University of Alberta His research spans Mathematical Finance , Stochastic Differential Equations , and Machine Learning , with notable contributions to arbitrage-free modeling, neural networks, and computational methods. Recent publications emphasize geometric deep learning and regularization techniques in finance. Scientific Awards: 2023: Concordia Academic Leadership Award Hyndman supervises graduate students in Mathematics and Statistics and co-founded the NSERC CREATE Program on Machine Learning in Quantitative Finance and Business Analytics (FIN-ML) , fostering industrial internships and interdisciplinary training.

Georgios SermpinisView profile

Professor

• Machine Learning
• Financial Trading
• Forecasting
• +3 more

Professor Georgios Sermpinis is a faculty member in Accounting & Finance at the Adam Smith Business School, University of Glasgow. He joined the institution in 2011, bringing expertise in machine learning, financial trading, forecasting, econometrics, and financial risk management. Degrees from National Kapodistrian University of Athens and Liverpool John Moores University Former roles at University of Bedfordshire and Liverpool John Moores University Consultancy for major banks including Goldman Sachs and BNP Paribas Research Interests: Focus on machine learning applications in finance, including portfolio optimization, cryptocurrency markets, and risk modeling. His work integrates AI with traditional financial theories, emphasizing sustainability and behavioral aspects. Scientific Awards: Acanto Research Grant (2017) Santander & University of Oviedo Grant (2017) Mobility Grant, Universidad de La Laguna (2017) University of Oviedo Grant (2014) Early Career Research Grant, University of Bedfordshire (2010) Students: Supervised PhD candidates include Feng Xin and Sun Longguang, focusing on ESG investment and financial markets. Editorial Roles: Senior Editor of Decision Support Systems, Associate Editor of Information Systems and Operational Research, and Guest Editor for journals like Quantitative Finance.

Ankush AgarwalView profile

Associate Professor

• Mathematical finance
• Data science in finance
• Financial statistics
• +3 more

Ankush Agarwal is an Associate Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario. His research focuses on mathematical finance, financial statistics, and Monte Carlo methods, with applications to risk management and derivatives pricing. He supervises PhD students in quantitative finance and has taught courses on Monte Carlo methods and advanced financial modeling at Western University. Education: PhD in Mathematics from Tata Institute of Fundamental Research (2015) Research interests span regime-switching models, longevity risk hedging, stochastic differential equations, and rare event simulation. His work combines theoretical probability with computational techniques for financial applications. Recent publications include studies on McKean-Vlasov SDEs, implied Sharpe ratio estimation, and optimal portfolio strategies under stochastic volatility. These works demonstrate his expertise in stochastic processes and financial engineering. Supervision: Current PhD advisees include Ying Liao, Buchun Wang, and Shuya Zhang at the University of Glasgow. Former advisees include Yongjie Wang and Yihan Zou.

Marti G. SubrahmanyamView profile

Professor

• Derivatives Markets
• Corporate Finance
• International Finance
• +6 more

Marti G. Subrahmanyam is the Charles E. Merrill Professor of Finance, Economics and International Business at the Leonard N. Stern School of Business, New York University , and a Global Network Professor of Finance at NYU Shanghai . He holds a PhD in Finance and Economics (MIT, 1974) , a post-graduate diploma from the Indian Institute of Management, Ahmedabad (1969) , and a B.Tech. in Mechanical Engineering from IIT Madras (1967) , where he has also served as a visiting professor. His career spans over five decades, with editorial roles at top journals like Journal of Finance and Review of Financial Studies . Research Focus : Derivatives markets, corporate finance, fixed income, market microstructure, ESG investing, and quantitative easing. Academic Leadership : Founded NYU Stern and NYU Shanghai Undergraduate Honors Programs, served on over 85 doctoral committees, chaired 35. Scientific Awards : New York University Distinguished Teaching Medal (2003) Anneliese Maier Award (2016) - First economist to receive this honor Distinguished Alumnus Awards from IIT Madras (2004) and IIM Ahmedabad (2011)

Peter FeldhütterView profile

Professor

• Empirical Asset Pricing
• Credit Risk
• Fixed Income Markets
• +3 more

Professor Peter Feldhütter is a faculty member at the Department of Finance, Copenhagen Business School (CBS), where he has held the position since 2017. He earned his PhD from CBS and previously worked at the London Business School. His research focuses on fixed income markets, particularly examining how prices are influenced by illiquidity, credit risk, and supply-demand imbalances. Notable contributions include studies on U.S. corporate bond market liquidity and credit spread dynamics. Key research areas include empirical asset pricing, credit risk, fixed income analysis, and liquidity risk. He has authored influential papers such as The Myth of the Credit Spread Puzzle and Corporate Bond Liquidity Before and After the Subprime Crisis . Received awards: Jack Treynor Prize, Wharton’s Outstanding Paper Award, and Nykredit’s Talented Researcher Award. External advisory roles: Legal advice for NTC Parent, Shell, and FourWorld Capital Management; academic advising for Copenhagen Economics. Teaching: External faculty at London Business School and University College London. His recent work explores ESG investing’s impact on capital structure and pricing of sustainability-linked bonds. Ongoing projects include studies on financial market liquidity and corporate bond valuation frameworks.

Zhijian HuangView profile

Associate Professor

• Corporate Finance
• Financial Markets
• Risk Management
• +3 more

Zhijian Huang is an Associate Professor in the Department of Finance and Accounting at Saunders College of Business, Rochester Institute of Technology, with expertise in corporate finance, behavioral finance, and risk management. Education: B.Eng., Shanghai Jiaotong University (China) M.S., Michigan State University M.Eng., Cornell University Ph.D., Pennsylvania State University His research focuses on financial markets, cognitive dissonance in investor behavior, cryptocurrency volatility, and climate policy impacts on stock prices. Recent publications explore asymmetric responses to earnings news, social media sentiment effects, and credit risk modeling. Huang teaches courses in equity analysis, options/futures, and risk management, with a strong emphasis on derivative instruments and portfolio optimization strategies.