جستجوی استاد راهنمای دانشگاهی

Charles M. Jones is a Professor of Finance at Columbia Business School, Columbia University, with an extensive publication record spanning several decades. His research focuses on market microstructure, high-frequency trading, short selling, retail investor behavior, and stock market liquidity. His work has appeared in top finance journals including the Journal of Finance, with his most recent publication "Nonstandard Errors" appearing in the June 2024 issue. Professor Jones's research interests center on understanding how financial markets function at a granular level. His work on market microstructure examines the mechanics of price formation, liquidity provision, and the impact of trading technologies on market quality. His research on short selling has been particularly influential, investigating when short sellers trade, what information they possess, and how regulatory interventions like short sale bans affect market functioning. His more recent work has explored the rise of retail trading through platforms like Reddit and its implications for price discovery, particularly during events like the GameStop phenomenon and the COVID-19 pandemic. Analysis of his publication trends reveals a consistent focus on market efficiency and price discovery mechanisms, with increasing attention to retail investor behavior in recent years. His work spans both theoretical modeling and empirical analysis of market data, often utilizing high-frequency datasets to examine intraday trading patterns. The interdisciplinary nature of his research bridges finance, economics, and information science, contributing to both academic understanding and practical market regulation. Professor Jones has collaborated extensively with researchers across the globe, as evidenced by his numerous co-authored papers with scholars from institutions worldwide. His work has significant implications for market regulators seeking to understand the impact of technological changes and regulatory interventions on market quality and efficiency.

• Market Microstructure
• High-Frequency Trading
• Short Selling
• +۷ مورد دیگر

Academic Profile: Damir Filipovic is a Full Professor and the Swissquote Chair in Quantitative Finance at the College of Management of Technology (CDM) of École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He previously held academic positions at the University of Vienna, University of Munich, and Princeton University, and served as Head of the Vienna Institute of Finance. Research Focus: Quantitative finance, risk management, stochastic processes, term structure modeling, volatility risk, and machine learning applications in financial markets. Industry Collaboration: Co-developed the Swiss Solvency Test for insurance capital requirements while consulting for the Swiss Federal Office of Private Insurance. Publications: Contributed extensively to journals like Journal of Financial Economics, Mathematical Finance, and Annals of Applied Probability, with a textbook on Term-Structure Models. Academic Service: Editorial board member of multiple journals and organizer of advanced workshops on systemic risk and financial technology. Recent Research: His work emphasizes machine learning for portfolio risk management, kernel-based yield curve estimation, and robust stochastic modeling. Keynote speaker at international conferences on finance and insurance mathematics, with over 15 recent publications in 2023-2025 addressing high-dimensional financial problems, neural control systems, and causal inference in market data. Education: Ph.D. in Mathematics from ETH Zurich (2000). Graduate of ETH Zurich and University of Vienna. Teaching & Mentorship: Supervises current and former EPFL Ph.D. students in quantitative finance, including Nicolas Camenzind, Joshua Hayes, Andrea Ruglioni, and ten others. Former students like Damien Ackerer and Lotfi Boudabsa now lead research in risk management. Labs & Programs: Directs EPFL's Finance and Technology Programme, leads the Computational Finance Group (CSF) at EPFL, and contributes to Swiss Finance Institute initiatives. Scientific Leadership: Served on EPFL Committee of Academic Evaluation and Doctoral Program Finance committee.

• Quantitative Finance
• Risk Management
• Machine Learning
• +۷ مورد دیگر

René M. Stulz is the Everett D. Reese Chair of Banking and Monetary Economics at The Ohio State University's Max M. Fisher College of Business , where he also serves as Director of the Dice Center for Research in Financial Economics . He has held academic positions at MIT, University of Chicago, and University of Rochester. Ph.D., Massachusetts Institute of Technology Marvin Bower Fellowship (Harvard Business School) Doctorat Honoris Causa (University of Neuchâtel) Risk Manager of the Year (Global Association of Risk Professionals) His research spans corporate finance , financial institutions , and asset pricing , with recent work on unicorns , cyberattack economic impacts , and banking regulation . His articles show expertise in market volatility , governance , and financial globalization . Stulz has won multiple scientific awards and served as editor of the Journal of Finance and Journal of Financial Economics . He consults for the IMF , World Bank , and major financial institutions , and has testified in federal/state courts .

• Corporate Finance
• Risk Management
• Asset Pricing
• +۷ مورد دیگر

Ke Xu is an Assistant Professor at the Department of Finance, Faculty of Business and Economics, University of Victoria. His research bridges finance, econometrics, and cryptocurrency, focusing on market microstructure, high-frequency trading, and price discovery mechanisms. He has extensively studied Bitcoin ETFs, fractional cointegration models, and machine learning applications in financial markets. Key Research Areas: Market Microstructure High-Frequency Trading Cryptocurrency Dynamics Price Discovery Machine Learning in Finance Financial Econometrics Article Trends: Xu’s work spans empirical analyses of Bitcoin ETFs, volatility modeling (e.g., affine GARCH), and algorithmic trading strategies. His recent papers explore mini flash crashes using machine learning, regulatory impacts on market quality, and sustainable crypto portfolios.

• Finance
• Financial Economics
• Quantitative Finance
• +۳ مورد دیگر

Konstantin Sokolov is a Professor at the University of Memphis, affiliated with the Fogelman College of Business and Economics. His research bridges finance, technology, and market design, focusing on liquidity dynamics, high-frequency trading, and blockchain systems. University of Memphis - Fogelman College of Business and Economics Collaborations with institutions across the U.S. and globally His work explores market microstructure , cryptocurrency , and cybersecurity , with recent studies on ransomware impacts, gamification in finance, and blockchain governance. Articles show a trend toward integrating machine learning and network theory into financial systems. Key themes include: Liquidity and volatility in algorithmic trading environments Blockchain congestion and cybersecurity externalities Regulatory implications of fast trading technologies Behavioral responses to gamified financial platforms

• Financial Economics
• High-Frequency Trading
• Blockchain Technology
• +۳ مورد دیگر

Sophie Moinas is a researcher at the Universite de Toulouse 1 Capitole , affiliated with the Toulouse School of Economics and the Finance Department . Her work focuses on market microstructure, liquidity, and speculative bubbles in financial markets. Institution: Universite de Toulouse 1 Capitole School: Toulouse School of Economics Department: Finance Research Interests Market microstructure and high-frequency trading dynamics Liquidity provision in fragmented markets Speculative bubbles and behavioral finance Order submission strategies and price discovery mechanisms Impact of anonymity on market liquidity Funding constraints in fixed-income markets Publication Trends Collaborated on 9 scholarly papers since 2003 Key topics: liquidity, high-frequency trading, market fragmentation, speculative bubbles Co-authors include Thierry Foucault, Bruno Biais, and academic institutions like HEC Paris and European Central Bank Recent work (2024) explores speculative bubbles with experimental methods

• Finance
• Economics
• Market Microstructure
• +۳ مورد دیگر

Thomas Renault is a researcher at the Centre d'Economie de la Sorbonne (CES), affiliated with Université Paris I Panthéon-Sorbonne in Paris, France. His scholarly work focuses on financial markets, monetary policy, and the intersection of social media with finance. With multiple publications in high-impact journals like the Journal of Finance, he has established himself as an active contributor to economic research. Dr. Renault's research interests span financial economics, behavioral finance, monetary policy, market microstructure, cryptocurrency markets, and textual analysis in finance. His work often employs innovative methodologies to analyze how information flows through financial markets, particularly examining the impact of social media and central bank communications on market behavior. He has developed novel measures for analyzing ECB communications and investigating investor attention patterns at intraday frequencies. His publication record demonstrates a consistent focus on market efficiency, information dissemination, and the behavioral aspects of financial decision-making. Recent work examines nonstandard errors in financial research, the dynamics of cryptocurrency markets, and methods to combat misinformation on social media platforms. His research frequently involves large-scale data analysis of social media content and high-frequency financial data. Dr. Renault has collaborated with researchers across numerous European institutions, indicating strong international connections within the academic finance community. His work has appeared in top finance journals and working paper series from prestigious institutions including the Bank of England and the Federal Reserve.

• Financial Economics
• Behavioral Finance
• Monetary Policy
• +۳ مورد دیگر

Prof. Dr. Aleksander Berentsen is a Professor of Economics at the University of Basel’s Faculty of Business and Economics, specializing in Blockchain, Cryptocurrencies, and nonconventional monetary policy. His research addresses topics like Central Bank Digital Currencies (CBDC), negative interest rates, and financial innovation. He has held visiting positions at top institutions including UC Berkeley and the University of Pennsylvania, and is a research fellow at the Federal Reserve Bank of St. Louis. Berentsen co-authored the influential book Bitcoin, Blockchain, and Cryptoassets: A Comprehensive Introduction (MIT Press, 2020), and has published extensively in journals like the American Economic Review and the Review of Economic Studies. Education: Studied at the Universities of Basel, Bern, and the London School of Economics. Key roles include advisory positions for the Swiss National Bank, ECB, and Bank for International Settlements. His work bridges theoretical economics with practical policy, particularly in digital finance and monetary systems. Research Interests: Blockchain technology, CBDC design, cryptocurrency stability, monetary policy tools (e.g., negative interest rates), and financial inclusion. He explores how decentralized systems can reshape traditional financial frameworks, with a focus on liquidity, stability, and regulatory challenges. Publications highlight his contributions to understanding cryptoasset dynamics, CBDC frameworks, and the societal implications of digital currencies. His 2020 book is widely praised as a foundational text for both academics and practitioners. Current projects include zero-knowledge proofs in blockchains and CBDC remuneration strategies. Labs/Teams: Co-founded the Center for Innovative Finance at the University of Basel to advance interdisciplinary research in fintech and digital currencies.

• Blockchain Technology
• Cryptocurrencies
• Monetary Policy
• +۵ مورد دیگر

Wale Dare is affiliated with the University of Liège , specifically its business school HEC Liège , in Belgium. He is a Researcher contributing to academic discourse in financial economics and quantitative finance. His research focuses on market microstructure , liquidity risk , and arbitrage mechanisms . This is evident from his publications, including the widely downloaded SSRN paper Nonstandard Errors (2024) and Testing Efficiency in Small and Large Financial Markets (2017), which explore empirical finance, computational models, and arbitrage dynamics. Notable patterns in his work include applications of mathematical finance to capital markets and analyses of market efficiency across different economic environments.

• Financial Economics
• Quantitative Finance
• Market Microstructure
• +۲ مورد دیگر

S. Sarah Zhang is an Assistant Professor at the Alliance Manchester Business School, University of Manchester, where she conducts research at the intersection of finance, technology, and market microstructure. Her academic work spans traditional financial markets analysis and emerging fintech applications, with a particular focus on high-frequency trading systems and data-driven financial services. Dr. Zhang's research interests center on market liquidity, price discovery mechanisms, high-frequency trading dynamics, and the evolving landscape of open banking and data privacy regulations. Her work examines how information flows through modern financial markets and how technological innovations reshape traditional banking services and market structures. Recent research has increasingly focused on the societal implications of financial technology, including racial disparities in mortgage markets and the impact of privacy regulations on banking operations. Her scholarly output shows a clear evolution from traditional market microstructure research toward the intersection of finance and information technology. Early work examined high-frequency trading and price discovery mechanisms, while more recent publications address open banking, API adoption, and data privacy legislation. This trajectory reflects the broader transformation occurring within financial markets as digital technologies reshape traditional banking and trading practices. Dr. Zhang has collaborated with researchers across multiple institutions globally, demonstrating the interdisciplinary nature of her work that bridges finance, economics, and information systems. Her publications in top finance journals like the Journal of Finance and Journal of Banking and Finance indicate the significance and impact of her research within the academic community.

• High-frequency trading
• Market liquidity
• Price discovery
• +۴ مورد دیگر

Florian Schroeder is a researcher at the Faculty of Business and Economics , Macquarie University , Australia. His research focuses on empirical financial economics, particularly in analyzing market liquidity and methodological challenges in multi-analyst studies. Key research areas include: Financial Economics : Specializing in empirical analysis of market structures Liquidity Studies : Investigating liquidity dynamics in financial markets His recent work 'Nonstandard Errors' (2024) explores methodological innovations in financial data analysis, with implications for market microstructure and empirical asset pricing.

• Financial Economics
• Empirical Finance
• Liquidity Studies

Andrew J. Patton is a Professor in the Department of Economics at Duke University's Trinity College of Arts & Sciences, with a secondary affiliation at Singapore Management University's School of Economics. His office is located at 213 Social Sciences Building, Box 90097, Durham, NC 27708-0204, United States, and his professional website is available at http://econ.duke.edu/~ap172/. Dr. Patton's research focuses on financial econometrics, with particular expertise in volatility modeling, high-frequency data analysis, and dependence structures in financial markets. His work spans several key areas including realized variance methods, copula modeling for financial time series, risk management techniques, and forecast evaluation methodologies. He has made significant contributions to understanding market microstructure, hedge fund risk exposures, and the dynamics of financial correlations. His publication record demonstrates consistent output in top finance and econometrics journals, with recent work exploring machine learning applications in volatility forecasting, granular risk measures, and the impact of high-frequency data on asset pricing models. The research shows a clear trajectory toward increasingly sophisticated modeling of financial dependencies and risk structures. Dr. Patton has received recognition for his scholarly contributions, ranking among SSRN's top 1,427 authors by total paper downloads and top 1,090 by total paper citations. His work is frequently cited in the field of financial econometrics, indicating substantial influence on contemporary research. He maintains active research collaborations with leading economists including Tim Bollerslev, Kevin Sheppard, Tarun Ramadorai, and Robert Engle, among others. These collaborations span multiple institutions and have produced influential work on volatility modeling, risk measurement, and financial market dynamics.

• Financial Econometrics
• Volatility Modeling
• Time Series Analysis
• +۴ مورد دیگر

Antonio Mele is a Full Professor of Finance at the Università della Svizzera italiana (USI) and the Swiss Finance Institute (SFI), where he has held a Senior Chair since 2011. He is affiliated with the Faculty of Economic Sciences and the Institute of Finance (IFin) at USI. Additionally, he is a Research Fellow in the Financial Economics program at the Centre for Economic Policy Research (CEPR) in London. Education: PhD in Economics, University of Paris BSc in Economics, LUISS University, Rome Antonio Mele's research spans a wide range of topics in financial economics. His primary areas of expertise include capital market volatility, the interplay between financial markets and the macroeconomy, uncertainty and volatility in financial markets, interest rates and credit markets, and information in securities markets. He also works on econometrics and numerical methods in finance. His recent research interests extend to public debt sustainability, fiscal reforms and financial market behavior, and economic history since World War I. His work is characterized by a strong integration of theoretical modeling, empirical analysis, and practical applications in financial markets. His publications, featured in top journals like the Journal of Financial Economics, Review of Economic Studies, Review of Financial Studies, and Journal of Monetary Economics, reflect a consistent focus on volatility measurement and pricing. Key themes across his 15 most recent works include the development of model-free volatility indices for fixed income markets (such as SRVIX, TYVIX, VXTLT, and Credit VIX), variance swaps, the role of uncertainty in macroeconomic fluctuations, and the design of financial instruments for hedging interest rate and credit risk. His research bridges academic theory and real-world financial innovation. Scientific Awards and Recognition: Research Fellow, Centre for Economic Policy Research (CEPR), London Senior Chair, Swiss Finance Institute (SFI) Member, Group of Economic Advisers, European Securities Markets Authority (ESMA), 2014–2015 Member, Securities and Markets Stakeholder Group, ESMA, 2015–2017 Antonio Mele has had a significant impact beyond academia through his advisory roles and financial innovations. He consulted with central banks and regulatory bodies on capital market volatility, securitization, and credit regulation. He served on ESMA’s advisory bodies between 2014 and 2017. His most notable industry contributions include the co-invention of exchange-traded volatility indices for interest rate swaps, government bonds, and credit markets, adopted by the Chicago Board Options Exchange (Cboe) and S&P Dow Jones Indices. These tools provide real-time measures of uncertainty in fixed income markets and have become standard benchmarks for risk management and trading. He has also authored a major graduate-level textbook on Financial Economics (MIT Press, 2022) and several other books on volatility. Laboratories and Research Teams: Antonio Mele leads research initiatives in financial economics, particularly in the areas of volatility and fixed income markets. He has collaborated extensively with Yoshiki Obayashi on the development of volatility indices and pricing models. His work is associated with the Institute of Finance (IFin) at USI and the Swiss Finance Institute, which serve as hubs for research in finance and macro-finance.

• Financial Economics
• Capital Market Volatility
• Macroeconomics and Financial Markets
• +۱۴ مورد دیگر

Cyril Monnet is a Lecturer at the University of Geneva's Institute of Economics and Econometrics. He holds a Ph.D. from the University of Minnesota. His research focuses on monetary economics, financial markets, and macroeconomic policy, with a particular emphasis on asset market dynamics, monetary policy implementation, and banking regulation. Key research interests include strategic information disclosure in financial markets, interbank money markets, emissions trading mechanisms, and the role of private money in regulated banking systems. His work bridges theoretical models with real-world policy implications, contributing to understanding market efficiency, regulatory frameworks, and central bank operations. Monnet's publications between 2015–2017 explore topics such as hidden orders in asset markets, rational opacity in financial decision-making, and search-based models of monetary policy. These studies highlight his expertise in combining game theory with empirical economic analysis to address contemporary challenges in financial systems and macroeconomic governance. No specific scientific awards or grants are listed in the provided materials. His teaching includes executive programs in monetary economics.

• Monetary Economics
• Financial Economics
• Macroeconomics
• +۳ مورد دیگر

Andrea Barbon is an Assistant Professor of Finance at the University of St. Gallen (HSG) , affiliated with the Center for Financial Services Innovation (FSI-HSG) . His research and teaching focus on Fintech , Blockchain , Decentralized Finance (DeFi) , Asset Pricing , and Monetary Policy . Education: Bachelor's Degree in Pure and Applied Mathematics - University of Padua, Italy Master's Degree in Pure Mathematics - WU Vienna University of Economics and Business, The Netherlands Ph.D. in Financial Economics - Università della Svizzera italiana (USI) Lugano and Swiss Finance Institute Barbon's research bridges financial economics with machine learning and cryptocurrency market dynamics . He explores topics such as Bitcoin and altcoin trading strategies , stablecoin rate responses to monetary policy , and liquidity provision in ETFs and options markets . His work also extends to NFTs , non-standard errors in financial data , and market quality in crypto exchanges . His publications reflect a strong emphasis on cryptocurrency , algorithmic trading , and monetary policy transmission . He has contributed to debates on NFT bubbles , DeFi's policy challenges , and gamma fragility in options markets . Barbon teaches advanced courses in Mathematics for Finance (PhD) and Financial Technology (Master's). Barbon is affiliated with the Center for Financial Services Innovation (FSI-HSG) , a hub for research on financial technology and innovation. His work often intersects with blockchain and machine learning applications in finance.

• Fintech
• Blockchain
• Decentralized Finance
• +۳ مورد دیگر