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Erik Hjalmarsson is a Professor of Banking and Financial Economics at the Department of Economics, University of Gothenburg. He holds the Felix Neubergh Chair and previously served as Director of the Centre for Finance. His research focuses on empirical asset pricing, financial econometrics, and long-run stock returns. Hjalmarsson earned his PhD from Yale University and has held roles at the Federal Reserve Board and Winton Capital Management. Education: PhD (Yale University, 2005), M.Sc. in Econometrics (London School of Economics, 2000), B.Sc. in Mathematical Statistics (University of Gothenburg, 1999). Research interests include stock return predictability, high-frequency trading, and econometric methods. His work has been published in top journals like the Journal of Finance and Journal of Financial Economics . Key grants include funding from the Swedish Research Council and Marianne and Marcus Wallenberg Foundation. Awards include the Carl Anderson Prize (2004) and multiple stipends for doctoral education. He supervises PhD students and advises on central bank policies. His recent studies explore long-horizon returns, inflation expectations, and portfolio strategies. Teaching includes PhD courses in econometrics and financial economics. He serves on editorial boards and as a referee for leading journals.

• Empirical Finance
• Financial Econometrics
• Empirical Asset Pricing
• +4 more

Björn Hagströmer is Professor of Finance and Director of Studies for the Postgraduate Programme at Stockholm Business School , Stockholm University. He earned his PhD from Aston Business School in 2010 and has been with SBS since then. His primary teaching responsibility is the course Financial Market Structure . Research Focus : Hagströmer specializes in financial market microstructure , analyzing price formation, liquidity supply, and trading mechanisms. His work examines closing call auctions, high-frequency trading dynamics, bid-ask spread components, and information revelation in decentralized markets. Current projects include studies on market fragmentation , gold futures microstructure , and equity market information dissemination Recent publications explore volatility extensions in auctions, unbiased spread estimation, and network-based information flow analysis Awards : Recipient of the 2017 De la Vega Prize for research on effective spread overestimation. His work appears in leading journals including Journal of Financial Economics and Journal of Finance . Academic Leadership : Co-organizer of the Microstructure Exchange online seminar series and the 2017 Conference on the Econometrics of Financial Markets celebrating the 20th anniversary of Campbell-Lo-MacKinlay's influential work.

• Financial Market Microstructure
• Asset Pricing
• Financial Econometrics
• +3 more

Karl Håkan Jankensgård is an Associate Professor and Visiting Research Fellow at the Department of Economics, School of Economics and Management, Lund University. His academic work focuses on corporate finance with special emphasis on corporate risk management and its strategic implications for firms. His primary research interests include: Corporate risk management and financial derivatives usage Relationship between risk management and capital structure Enterprise risk management organization frameworks Shareholder base composition and its market implications Stock return volatility determinants Voluntary disclosure practices and information asymmetry Dr. Jankensgård's research has been published in internationally recognized journals including Financial Management, Journal of Banking and Finance, European Financial Management, and Journal of Business, Finance & Accounting. His work bridges theoretical frameworks with practical applications in corporate finance, with particular expertise in risk management strategies. Recent publications examine black swan events (2024), financial distress hedging mechanisms (2022), shareholder structure impacts on market volatility (2018), CEO characteristics affecting risk decisions (2017), and disclosure practices related to financial health (2015). His research demonstrates significant academic impact with citation indexes reaching 60 for his work on CEO age and hedging strategies, and substantial readership across platforms like Mendeley. His work has been presented at international conferences including FMA European Conference and Midwest Finance Association meetings. Professional activities include: Supervision of PhD students (e.g., 'Essays on Corporate Investment' 2018) External reviewing of doctoral theses Research and teaching engagements at Kristianstad University (2018) Active participation in international finance conferences

• Corporate Finance
• Risk Management
• Corporate Risk Management
• +7 more

Olga Obizhaeva is an Assistant Professor of Finance at the Stockholm School of Economics (SSE) and a Researcher at the Swedish House of Finance (SHoF). She holds a PhD from the London School of Economics. Her research focuses on empirical asset pricing, institutional asset management, market microstructure, fintech, and big data applications in finance. Education PhD in Finance, London School of Economics Research Interests Her work examines how institutions and market structures influence financial outcomes, including: Impact of search engine marketing on ETF performance Hedge fund fundraising dynamics and broker intermediation Market microstructure invariance theory and its implications for stock returns Corporate share repurchase strategies and their economic consequences Application of web analytics and big data to financial markets Notable Contributions Her 2022 co-authored book Stock Buyback Motivations and Consequences provides a comprehensive review of corporate repurchase strategies. Recent work explores digital visibility's role in attracting investment flows and the structural determinants of stock return dynamics through the lens of invariance theory. Affiliations Resident Researcher, Swedish House of Finance Member of the SHoF Data Center Academic Advisory Group

• Empirical Asset Pricing
• Institutional Asset Management
• Market Microstructure
• +4 more

Paul Huebner is an Assistant Professor at the Department of Finance, Stockholm School of Economics, and a resident researcher at the Swedish House of Finance. His research focuses on asset pricing, macro-finance, and the interplay between institutional asset demand and market dynamics. He holds a Ph.D. in Finance from the University of California, Los Angeles (UCLA). Research interests include portfolio decisions and asset prices, with emphasis on deriving economic insights from quantitative data and developing methods to analyze their joint behavior. His work addresses questions such as the competitiveness of stock markets, implications of passive investing, and the role of institutional investors. Recent publications include studies on causal inference in asset pricing and the competitive dynamics of stock markets, with implications for passive investment strategies. His research has been presented at the Swedish House of Finance and related academic platforms. Affiliations include the Swedish House of Finance where he contributes to national and international research initiatives. His work bridges theoretical models with empirical evidence, emphasizing policy-relevant insights for financial markets and institutions.

• Asset Pricing
• Macro-Finance
• Financial Intermediation
• +3 more

Birger Nilsson serves as an Associate Professor in the Department of Economics at Lund University, specializing in empirical finance and energy economics. His work bridges theoretical models with real-world market analysis, focusing on asset pricing mechanisms and liquidity dynamics across global financial systems. His research portfolio centers on volatility transmission in energy markets, institutional investment behaviors, and liquidity premium structures. Key methodologies include high-frequency econometric analysis and spillover effect modeling, particularly examining German energy markets and U.S. stock liquidity patterns from 1927-2010. This work consistently applies quantitative frameworks to dissect market frictions and equilibrium models. Publication trends reveal sustained focus on cross-commodity volatility spillovers (2016-2018), institutional ownership impacts (2017), and foundational liquidity premium research (2013). His output demonstrates methodological evolution from time-series analysis toward high-frequency trading applications while maintaining energy economics as a core domain. Professor Nilsson has supervised five doctoral candidates, including primary supervision for "Essays on currency exchange rates" (2018) and examination duties for "Essays on insider trading and initial public offerings" (2018). He directed the completed research project "Multivariate Modelling of Energy Markets" (2011-2016), which investigated volatility transmission mechanisms in European energy systems.

• Empirical Finance
• Asset Pricing
• Liquidity
• +7 more

Jörgen Blomvall is an Associate Professor at Linköping University's Department of Management and Engineering (IEI). His research focuses on optimal financial decision-making, accurate financial measurement, and stochastic optimization models applied to financial markets. He develops methods to enhance measurement accuracy for quantities like forward rates, default intensities, and local volatilities, which are critical for equity, interest, credit, and derivative markets. Blomvall's work integrates stochastic programming and dynamic programming to address portfolio optimization, risk management, and transaction cost reduction. He is affiliated with the Operations Management and Finance research group, exploring resource optimization in manufacturing and service industries. His key research areas include financial engineering, stochastic programming, and quantitative risk management. Recent work emphasizes improving dividend estimation from intraday quotes, reducing transaction costs in hedging strategies, and analyzing stage complexity in stochastic programming for portfolio choice. Blomvall's methodologies have advanced the modeling of systematic risks and optimal investment decisions under real-world market constraints. Blomvall has contributed extensively to the development of optimization-based frameworks for performance attribution and yield curve estimation. His articles frequently address practical applications of stochastic models in financial markets, balancing theoretical rigor with computational feasibility. Despite his prolific output, no specific academic awards or student advisees are documented in the provided texts. He is active in the Production Economics (PEK) research group at Linköping University.

• Financial Engineering
• Stochastic Programming
• Quantitative Finance
• +3 more

Tomas Sjögren is a Professor at the Umeå School of Business, Economics and Statistics (USBE) at Umeå University, serving as Assistant Head of the Department of Economics. His research focuses on public economics, environmental economics, behavioral economics, taxation policy, labor economics, and welfare economics. He has contributed extensively to understanding optimal taxation frameworks, social comparisons in fiscal policy, environmental externalities, and behavioral public finance. Key research areas include the interplay between taxation and environmental policies, paternalistic tax designs addressing time-inconsistent preferences, and the implications of social identity on welfare outcomes. His work frequently explores fiscal federalism, labor market distortions, and public goods provision in open economies. His publications span journals such as Journal of Economic Behavior and Organization , Scandinavian Journal of Economics , and Environmental and Resource Economics . Notable themes include the design of optimal tax systems under behavioral constraints and the analysis of stock market efficiency post-mergers. He is affiliated with the Economic Policy Network, a research group focused on interdisciplinary economic policy analysis. His contributions bridge theoretical models with empirical applications, addressing both domestic and global fiscal challenges.

• Public Economics
• Environmental Economics
• Behavioral Economics
• +3 more

Ai Jun Hou is a Professor in the Finance Group at Stockholm Business School, Stockholm University. Her research focuses on empirical asset pricing, financial econometrics, and international finance, with particular expertise in volatility modeling, financial market microstructure, and cryptocurrency derivatives. She leads the Emerging Markets Cross-Cultural Research Group and teaches master's courses in Financial Institutions Management and Portfolio Theory. Research Interests: Professor Hou investigates financial market volatility and correlation dynamics, international finance mechanisms, household financial decisions, and emerging market behaviors. Her work employs advanced econometric methods including GARCH-MIDAS specifications to analyze how macroeconomic factors influence financial markets. Current projects examine trade imbalance networks, entrepreneurship transitions, and commodity-stock market linkages. Publication Trends: Her recent articles demonstrate strong focus on international financial networks, volatility modeling innovations, and emerging market dynamics. Methodologically, she frequently employs time-series econometrics and network analysis to study cross-market transmissions and asset pricing anomalies. Earlier foundational work established frameworks for volatility forecasting using macroeconomic variables. Research Groups: She leads the Emerging Markets Cross-Cultural Research Group at Stockholm Business School, focusing on cross-cultural financial behaviors in developing economies through interdisciplinary approaches.

• Empirical Asset Pricing
• Financial Econometrics
• International Finance
• +4 more

Lu Liu is an Assistant Professor in Finance at Stockholm Business School, Stockholm University, with a focus on climate and sustainable finance, social and economic networks, and household finance. She is affiliated with the Emerging Markets Cross-Cultural Research Group , which studies emerging markets using interdisciplinary methods. Her research interests include: Climate and sustainable finance Corporate and social networks International finance Household finance Her recent publications analyze trends in: Corporate environmental actions driven by competitive pressure (2025) Propagation of environmental performance in corporate networks (2024) Institutional quality's role in stock market participation (2024) Learning channels' impact on financial decisions (2022) Cross-border asset holdings' influence on bond markets (2018) She teaches Advanced Financial Empirical Research in the Master's program. Her methodological approach combines spatial econometrics and network analysis to study financial phenomena.

• Finance
• Climate and Sustainable Finance
• Social and Economic Networks
• +4 more

Henrik Hult is a Professor of Mathematical Statistics at KTH Royal Institute of Technology. He currently serves as director of Brummer and Partners MathDataLab at KTH. His academic appointments include Assistant Professor at Brown University (2006-2008) and Senior Lecturer at KTH (2008-2015) before becoming a full Professor in 2015. His research spans multiple domains with strong connections between theoretical probability and practical applications. Hult's work demonstrates significant contributions to stochastic processes , Monte Carlo simulation , mathematics of data science , mathematical finance , and insurance . His research methodology often bridges theoretical mathematics with computational techniques to solve complex real-world problems. The analysis of his recent publications reveals a strong interdisciplinary approach, with research spanning financial mathematics (algorithmic trading, risk management), probability theory (coalescent models, diffusion processes), computational statistics (rare event simulation, importance sampling), and medical applications (neuroimmunology, medical image analysis). His work demonstrates consistent focus on developing rigorous mathematical frameworks for practical applications across diverse fields. Hult teaches several advanced courses including Degree Project in Financial Mathematics, Foundations of Probability Theory, Modern Methods of Statistical Learning, Portfolio Theory and Risk Management, and Statistical Machine Learning, reflecting his broad expertise across theoretical and applied statistics. His collaborative research network is extensive, with frequent co-authorship with colleagues at KTH and international institutions. The diversity of his publication venues—from top probability journals like Electronic Journal of Probability to interdisciplinary journals like Proceedings of the National Academy of Sciences —demonstrates the wide applicability of his mathematical approaches.

• Stochastic Processes
• Monte Carlo Simulation
• Mathematics of Data Science
• +4 more

Ebrahim Bazrafshan is an Associate Professor at Umeå University's Umeå School of Business, Economics and Statistics (USBE), specializing in the Accounting/Finance section. His research focuses on disclosure practices, artificial intelligence applications in finance, auditing methodologies, individual investor behavior, and corporate finance strategies. He has received the Best Paper Award at the 2016 Chicago Quantitative Alliance Academic Competition in Hong Kong. Teaching responsibilities include courses in Accounting Auditing and Control, Advanced Corporate Finance, Financial Statement Analysis, Valuation, and Investments. His work bridges theoretical accounting principles with practical market dynamics, particularly in emerging markets. Research trends across his publications emphasize corporate liquidity management, equity issuance decisions (especially seasoned equity offerings), ESG factors' influence on investor behavior, and governance mechanisms' impact on market liquidity. Earlier work explored real estate efficiency in Iran and liquidity determinants in the Tehran Stock Exchange. Awards: Best Paper Award at Chicago Quantitative Alliance Competition (2016) Key Research Themes: Corporate Finance, ESG Impact Analysis, Investor Behavior Modeling

• Disclosure
• AI
• Auditing
• +5 more

Ingrid M. Werner is the Martin and Andrew Murrer Professor of Finance at Ohio State University’s Fisher College of Business. She holds a PhD in Economics from the University of Rochester and an honorary doctorate from Stockholm School of Economics. Her roles include Chair of the Scientific Advisory Board of the Swedish House of Finance, Director of the American Finance Association, and member of the Nobel Prize in Economic Sciences committee. Education: PhD (Economics, Rochester), Honorary Doctorate (Stockholm School of Economics), MBA/Ekon. Lic. (Stockholm School of Economics). Research Interests : International Finance: Home bias, cross-border securities, and market integration Market Microstructure: Dark pools, institutional trading, tick size regulation, and liquidity Financial Regulation: OTC markets, short-sale policies, and regulatory design Awards & Affiliations : Foreign Member, Swedish Royal Academy of Sciences CEPR Research Fellow Editorial boards of Journal of Finance and Journal of Financial Markets Teaching & Outreach : Teaches Trading & Markets at Fisher College Former visiting professor at Stanford, University of Michigan, and Bocconi University Key Projects : Current research includes retail execution quality, trading fees, and the politics of academic research.

• International Finance
• Market Microstructure
• Financial Regulation
• +3 more

Björn Hagströmer is a Professor in Finance at Stockholm Business School, Stockholm University, and a visiting research fellow at the Swedish House of Finance. He is affiliated with the European Securities and Markets Authority (ESMA) as a member of its Group of Economic Advisers. His research focuses on empirical market microstructure, asset pricing, and liquidity measurement, particularly addressing information revelation in markets, large investor behavior, and liquidity metrics. Education: PhD from Aston Business School (2010), MSc in Economics from Lund University (2006). Key research contributions include challenging traditional liquidity measures like the effective spread and analyzing high-frequency trading dynamics. Notably awarded the De la Vega Prize 2017 for his work on effective spreads. Organized events include the 2022 Symposium on Market Fragmentation (with Swedish Securities Markets Association) and the 2017 Conference on the Econometrics of Financial Markets celebrating Campbell-Lo-MacKinlay's legacy. Co-organizes the Microstructure Exchange seminar series. Active in policy discussions, such as critiquing market closure proposals during the 2020 pandemic.

• Empirical Market Microstructure
• Empirical Asset Pricing
• Financial Econometrics
• +3 more

Mariana Khapko serves as an Associate Professor of Finance at the University of Toronto, holding dual appointments at the Rotman School of Management and the Department of Management, University of Toronto Scarborough. She also maintains an affiliation as a Research Fellow at the Swedish House of Finance, Stockholm School of Economics. Her educational background is as follows: PhD in Finance, Stockholm School of Economics, 2015 (Supervisor: Tomas Björk) Dr. Khapko's research centers on theoretical finance models, with primary expertise in asset pricing, portfolio choice, and time-inconsistent control theory. She is internationally recognized for pioneering work in time-inconsistent decision frameworks, addressing problems where agents' preferences evolve non-exponentially over time (e.g., mean-variance optimization and probability distortion). Her research extends to financial market microstructure, information dissemination in securities markets, and institutional design. She co-authored the seminal Springer Finance Series book "Time-Inconsistent Control Theory with Finance Applications," which establishes game-theoretic foundations for subgame-perfect equilibria in dynamic financial problems. Her empirical and theoretical contributions appear in top journals including the Journal of Financial Economics, Management Science, Journal of Financial Markets, and Finance and Stochastics. Her scientific recognition includes: Peter Högfeldt Award for outstanding thesis in Finance As an academic leader, Dr. Khapko mentors graduate students and secures competitive research funding, though specific advisees and grants are not detailed in source materials. Her Swedish House of Finance affiliation connects her to national data initiatives like the SHoF Data Center, providing access to Nordic market quality metrics, ESG databases, and high-frequency trading archives for empirical validation of theoretical models. She actively shapes finance research through seminar participation and conference contributions, particularly in time-inconsistency applications for carbon pricing and risk attitude studies.

• asset pricing
• portfolio choice
• time-inconsistent control theory
• +3 more