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Roberto PancraziView profile

Professor

• Macroeconomics
• Quantitative Macroeconomics
• International Macroeconomics
• +5 more

Professor Roberto Pancrazi is a faculty member in the Department of Economics at the University of Warwick's School of Social Sciences, where he has served since 2012. His research spans macroeconomic theory, quantitative methods, and international economics with evolving focus from business cycle dynamics to intergenerational inequality and spatial economic effects. Pancrazi holds a PhD in Economics from Duke University (2010) and previously held positions at Toulouse School of Economics (2010-2012). His primary research interests include: Macroeconomic effects of age-income gaps and intergenerational inequality Spatial labor market dynamics and regional economic disparities Monetary policy transmission and inflation sensitivity Sovereign debt dynamics and financial frictions Health economics applications during the Covid-19 pandemic His work demonstrates a clear evolution from foundational business cycle research to contemporary inequality-focused macroeconomics. Analysis of his publication trends reveals three distinct phases: early work on business cycles in emerging economies (2010), expansion into financial frictions and the Great Moderation (2014-2016), and recent focus on inequality, spatial economics, and health policy (2020-2023). His research consistently employs structural macroeconomic modeling while increasingly incorporating heterogeneous agent frameworks and spatial dimensions. Pancrazi has secured significant research funding including a 2019-2023 £450,000 Economic and Social Research Council grant titled Information Asymmetry and Inequalities in Macroeconomics . His teaching portfolio spans undergraduate to PhD levels, covering core macroeconomics, advanced analysis, and specialized topics in international economics. Current research includes an ambitious three-paper project on UK intergenerational economic inequality spanning macroeconomics, labor, and urban economics.

Enrique Ter HorstView profile

Associate Professor

• Quantitative Finance
• Bayesian Statistics
• Statistical Modeling
• +12 more

Enrique Ter Horst is an Associate Professor in the Faculty of Management at Universidad de los Andes, Colombia, affiliated with the Finance department. His research spans quantitative finance, Bayesian statistics, sentiment analysis, and interdisciplinary applications in marketing, psychology, and public policy. He teaches courses such as Derivatives Markets, Multivariate Models, and Computational Methods in Finance at both undergraduate and graduate levels. PhD in Bayesian Statistics, Duke University, 2003 Maitrise de Sciences Economiques, Université Louis Pasteur, 1999 Licence d'Économétrie, Université Louis Pasteur, 1998 Ter Horst's research focuses on developing advanced statistical and machine learning models, particularly using Bayesian frameworks and maximum entropy methods. His work applies to diverse domains including financial risk modeling, art market analysis, climate change news impact, and brand ethics. He has made significant contributions to understanding sentiment-driven portfolio hedging, brand commitment during crises, and topic modeling in academic publishing. His recent publications (2020–2025) reveal a strong trend in applying Bayesian and entropy-based methods to interdisciplinary problems, especially in finance, marketing, and social media analytics. He frequently employs computational techniques such as multinomial inverse regression and deep reinforcement learning to analyze large-scale textual and financial data. Financial Risk Manager (GARP) Secretary, Economics, Finance and Business Section, ISBA (2015–2016) Ter Horst advises doctoral students such as Manuel Andrés Martínez Patiño and has previously mentored Jovelyn Ferrer Garcia. His industry experience includes quantitative research roles at Credit Suisse First Boston and Morgan Stanley, where he co-edited the 'Quant Strategist' research series. He has consulted for the European Central Bank, Eurostat, and the Inter-American Development Bank. He is a member of the Finance and Financial Economics research group at Uniandes, which supports collaborative work in asset pricing, risk management, and behavioral finance.

Athanasios PantelousView profile

Professor

• Quantitative Research
• Mathematical Modeling under Risk/Uncertainty
• Actuarial Science
• +3 more

Professor Athanasios Pantelous holds a position at Monash University's Department of Econometrics and Business Statistics, where he leads research in quantitative methods and mathematical modeling under risk/uncertainty. He has held roles at the University of Liverpool (Lecturer/Reader) and is affiliated with RiskLab Australia and SWUFE's Belief Analytics Lab. His expertise spans actuarial science, finance, stochastic mechanics, and operational research. Education: Bachelor's in Mathematics (2001), National and Kapodistrian University of Athens M.Sc. in Statistics/OR (2005), Applied Mathematics (2007), National and Kapodistrian University of Athens M.Sc. in Actuarial Statistics (2006), Ph.D. in Statistics (2008), Athens University of Economics and Business Second Ph.D. in Modelling and Systems Science (2013), City University London Research Interests: Focuses on quantitative research methods with applications in actuarial science, finance, and stochastic systems. Develops models for risk management, decision-making under uncertainty, and policy analysis. Active in causal analytics, machine learning, and sustainable supply chain systems. Recent Research Trends: Articles highlight advancements in causal inference algorithms (e.g., patterncausality R package), vaccine distribution frameworks, and stochastic modeling for nonlinear systems. Recent work explores behavioral finance (e.g., Chinese household investment behavior), sustainable supply chains, and environmental policy analysis. Awards & Grants: Co-led the £5.8M EPSRC/ESRC Center for Risk & Uncertainty (2014–2017). Current projects include Economic Scenario Generation for superannuation modeling and blockchain/cryptocurrency research. Recognized as a Fellow of the Hellenic Actuarial Society. Advising & Labs: Supervised 22 PhD students (2009–2023). Currently supervises 6 primary and 3 secondary students. Involved in RiskLab Australia, Belief Analytics Lab (SWUFE), and collaborates internationally in stochastic systems research.

Sudheer ChavaView profile

Adjunct Professor

• Credit Risk
• Banking
• Corporate Finance
• +4 more

Sudheer Chava is an Adjunct Professor at Georgia Institute of Technology’s School of Computational Science and Engineering, concurrently serving as the Alton M. Costley Chair and Director of the Master of Science in Quantitative & Computational Finance (QCF) program. He also leads the Financial Services Innovation Lab. Chava holds a Ph.D. from Cornell University (2003), an MBA from Indian Institute of Management Bangalore, and prior industry experience as a fixed income analyst in India. His academic journey includes roles at University of Houston and Texas A&M before joining Georgia Tech in 2010. His research focuses on Credit Risk, Banking, Corporate Finance, and Financial Technology, with publications in top journals like the Journal of Finance, Journal of Financial Economics, and Review of Financial Studies. Notable achievements include the Ross Award (2008), Brattle Prize Finalist (2008), and multiple research grants such as FDIC-CFR and Morgan Stanley grants. He has taught courses ranging from Derivatives to Cases in Financial Crisis at both undergraduate and doctoral levels. Chava’s work explores intersections of finance and technology, including E-commerce’s impact on retail sectors, implications of minimum wage policies on small businesses, and applications of machine learning in financial risk prediction. His lab, the Financial Services Innovation Lab, drives research into fintech solutions and market dynamics. He also serves as an Associate Editor for the Journal of Banking and Finance and Journal of Credit Risk, highlighting his leadership in academic publishing.

• Microeconomic Development
• Social Economics
• Behavioral Economics
• +3 more

Daniel Putman is an Assistant Professor at Michigan State University (MSU) with a joint tenure appointment in the Department of Agricultural, Food, and Resource Economics and the Department of Media and Information. His research focuses on the intersection of microeconomic development, social economics, and behavioral economics, particularly examining how social networks and digital technologies influence vulnerability, resilience, and risk responses among marginalized populations. Before joining MSU, he held postdoctoral roles at the University of Pennsylvania and Innovation for Poverty Action. Putman holds a Ph.D. in Agricultural & Resource Economics from the University of California, Davis (2020). His work bridges computational social science and applied economics, leveraging big data and advanced methodologies to address challenges in poverty prediction, digital fraud prevention, and market regulation. He has contributed to policy-relevant projects such as the Kenya Digital Credit Market Inquiry and developed toolkits for translating transactional data into actionable consumer protection strategies. His research portfolio spans topics like mobile phone metadata analysis for poverty measurement, endogeneity issues in sports economics, and behavioral experiments in Nigerian microenterprise fraud. His interdisciplinary approach integrates network theory, econometrics, and computational methods to inform policy in development economics and financial inclusion.

Kiana BasiriView profile

Assistant Professor

• Real Estate Economics
• Housing Policy
• Household Finance
• +9 more

Kiana Basiri is an Assistant Professor in the Department of Real Estate Management at Toronto Metropolitan University, part of the School of Business Management. She joined the faculty in 2020, bringing extensive research and policy experience from her prior role as a Senior Specialist in the Housing Research Division at Canada Mortgage and Housing Corporation (CMHC). PhD in Applied Economics, HEC Montréal Her research focuses on the intersection of housing and credit markets, using advanced econometric tools to explore issues such as mortgage defaults, consumer bankruptcies, housing affordability, and financial stability. Her work informs critical public policy debates and contributes to the understanding of household financial vulnerability. Dr. Basiri's recent publications appear in top journals like Real Estate Economics and Canadian Public Policy , reflecting her expertise in real estate economics, housing policy, and household finance. Her research employs structural modeling and statistical analysis to evaluate mortgage insurance, mortgage fraud, and the impact of economic shocks on homeowners. While no specific awards are listed, her policy-relevant research has had a tangible impact on housing market understanding in Canada. She actively contributes to academic and public discourse through her publications and professional engagement. She advises on housing-related research topics and has led significant research initiatives at CMHC. Though current advisees are not listed, her academic role includes mentoring graduate students in real estate and economics. She has likely secured research funding through university and government sources, given her prior institutional research leadership. Her work is closely tied to policy institutions and research centers focused on housing and financial stability, suggesting collaboration with interdisciplinary teams and public sector partners.

Davide PietrobonView profile

Lecturer

• Development Economics
• Household Finance
• Social Networks
• +2 more

Davide Pietrobon is a Lecturer at the Department of Economics, Lund University, and holds a Ph.D. from the Barcelona Graduate School of Economics. His research focuses on development economics, behavioral economics, and social networks. He is currently a postdoctoral fellow at Lund University and will join the Universitat de Barcelona School of Economics as an Assistant Professor in the upcoming academic semester. Education: Ph.D. in Economics from Universitat Autònoma de Barcelona and Barcelona Graduate School of Economics. His work explores topics such as risk-sharing mechanisms, credit access inequality, and the impact of incomplete markets on economic outcomes. Recent research includes studies on land misallocation in rural economies and the intergenerational transmission of credit scores. Research Interests: Development economics (primary focus), household finance, social networks, and applied microeconomics. His interdisciplinary approach combines theoretical models with empirical data analysis, often using panel datasets from developing economies. Key Contributions: Published in Journal of Development Economics , , and other peer-reviewed journals. Current projects investigate non-farm entrepreneurship in rural India, employment protection laws, and the social value of public information in cooperative settings. Professional Activity: Active on ResearchGate, LinkedIn, Twitter, and maintains a personal academic website. His work is supported by grants exploring climate-driven structural transformation and credit market interventions.

Ege YazganView profile

Professor

• Applied Econometrics
• Monetary Policy
• International Finance
• +7 more

Prof. Ege Yazgan is a full Professor of Economics at Istanbul Bilgi University , where he serves in multiple leadership roles including Interim Rector and Director of the Center for Financial Studies (CEFIS). He is affiliated with the Faculty of Business Administration and the Department of Economics. His academic work spans econometrics, macroeconomics, and financial economics, with a strong focus on Turkish economic policy. PhD, University of Sussex (2000) MA, Istanbul University and Boğaziçi University BA, Faculty of Economics, Istanbul University (1991) His research interests include Applied Econometrics , Monetary Policy , International Finance , GDP Nowcasting , and Financial Cycles . He is the founder of simditahmin.com , a real-time Turkish GDP forecasting platform, and frequently uses high-frequency and big data in his models. He has published extensively in journals such as International Journal of Forecasting , Empirical Economics , and Journal of Business Cycle Research . The recent trends in his publications show a growing emphasis on nowcasting using alternative data sources (e.g., online prices, financial transactions), machine learning applications in macroeconomic forecasting, and nonlinear modeling of financial and business cycles in emerging markets, particularly Turkey. Scientific contributions and outreach: Regular commentator on macroeconomic issues in Turkish media (CNBC-e, Bloomberg, NTV, TRT) Organizer of major conferences in macro-finance and econometrics Active participant in policy debates on inflation, external deficits, and financial stability Advising and grants: He has advised multiple researchers and co-authored numerous papers with junior colleagues such as B. Soybilgen and H. Kaya. He has led research projects on forecasting and financial studies, supported through institutional and academic grants, though specific grant names are not listed. He is a member of several research centers including CEFIS, Murat Sertel Center, Rimini Center, and Economic Research Forum. Labs and teams: He leads the Center for Information Finance Research (CEFIS) at Istanbul Bilgi University, which focuses on financial data analysis, econometric modeling, and macroeconomic forecasting. The center organizes workshops and collaborates with international scholars in nonlinear dynamics and econometrics.

• Tourism Research
• Business Management
• Corporate Social Responsibility
• +4 more

Markku Vieru is a Professor at the University of Lapland, affiliated with the Faculty of Social Sciences and the Welfare, Work and Citizenship Multidimensional Tourism Institute. His research focuses on tourism, business management, and corporate social responsibility, with particular emphasis on sustainable tourism planning, rural SME strategies, and winter tourism dynamics. He has led and collaborated on projects such as the 'Responsible Tourism Planning for Sustainable Business and Economies' and the conference 'The Future of Winter Tourism.' His work explores topics including hotel pricing strategies, CSR impacts on small business loans, and the economic implications of tourism demand in Finnish Lapland. Vieru has received prestigious awards, including the Best Paper Award (2016) and the Thea Sinclair Award (2022). He actively participates in academic activities, serving as a reviewer for journals like the International Journal of Contemporary Hospitality Management and holding leadership roles in organizations such as the Professoriliitto. Key research contributions include analyzing cancellation behaviors of hotel guests, the effects of sporting events on hotel pricing, and the role of place meaning in SME strategies. His work bridges academic research with practical applications, influencing policy and industry practices in sustainable tourism and economic development.

• Operations Research
• Stochastic Programming
• Probabilistic Constraints
• +4 more

Patrizia Beraldi is an Associate Professor of Operations Research at the Department of Mechanical, Energy and Management Engineering (DIMEG) , University of Calabria, Italy since 2003. She holds the National Qualification as Full Professor (2013) and earned her PhD in System Engineering and Computer Science from the University of Calabria in 2000. Her academic journey includes roles as Research Assistant (1999-2001) and Visiting Research Fellow at RUTCOR (Rutgers University) and Vancouver University. Education PhD in System Engineering and Computer Science (2000), University of Calabria Degree in Management Engineering (cum laude 1995), University of Calabria Her research focuses on stochastic programming with probabilistic constraints, network flow optimization , and decentralized decision modeling . Key application areas include energy systems (smart grids, renewable integration), healthcare logistics (operating room scheduling), financial engineering (risk management), and supply chain resilience . She leads the Financial Engineering and Risk Management Laboratory at DIMEG. Recent research trends involve bi-level optimization models for energy pricing, hybrid multigeneration systems for sustainability, and stochastic approaches to resource allocation in healthcare and energy sectors. Her work emphasizes computational methods and high-performance computing platforms . Scientific Awards : Best paper award of the 2015 IMA Journal of Management Mathematics Best presentation award at the ICEER Conference 2017 Best poster award of ICORES 2018 She supervises numerous PhD and Master's students , contributes to editorial boards as Associate Editor (TOP, Algorithms, IMA Journal), and leads research projects like PON Horizon 2020 initiatives on smart energy systems. Her teaching spans courses in Optimization, Financial Engineering, and Stochastic Programming at the University of Calabria.

Edgar GhossoubView profile

Professor

• Macroeconomics
• Monetary Theory
• Industrial Organization
• +5 more

Edgar Ghossoub is a Professor in the Department of Economics at the Alvarez College of Business, University of Texas at San Antonio. He joined UTSA in 2007 and teaches courses such as Principles of Macroeconomics, Macroeconomic Theory, and Money and Banking. He is affiliated with the Southern Economic Association and the American Economic Association. Ph.D. in Economics from the University of Kentucky M.S. in Economics from the University of North Carolina at Charlotte B.A. in Economics from Notre Dame University of Louaize Dr. Ghossoub’s research focuses on Macroeconomics, Monetary Theory, Industrial Organization, Economic Development, and Open Economy Macroeconomics. His work examines how monetary policy interacts with banking sector structure, financial development, and income inequality, with implications for welfare economics, asset pricing, and macroeconomic stability. The articles and working papers highlight his long-term investigation of monetary policy’s distributional effects, banking competition, financial openness, and economic development. His work spans theoretical modeling (e.g., liquidity risk, capital accumulation) and empirical analysis (e.g., financial market participation, income inequality).

Thomas A. ThomsonView profile

Professor

• Real Estate Finance
• Mortgage Default Analysis
• Subprime Mortgages
• +4 more

Thomas A. Thomson is a Professor of Finance at the Carlos Alvarez College of Business, University of Texas at San Antonio (UTSA). He specializes in real estate finance, focusing on mortgage defaults, subprime lending, and sustainability in property valuation. Prior to UTSA, he held faculty positions at the University of Michigan and University of Illinois, and worked in Fortune 500 companies. He holds a Ph.D. from the University of Michigan, Ann Arbor (Finance), another Ph.D. from University of California, Berkeley, an M.S. from Virginia Tech, and a B.S.F. (Honours) from the University of British Columbia. His research interests include real estate taxation, brokerage dynamics, and the impact of 'green' features on property value. Notable work analyzes racial disparities in mortgage approvals and the economic implications of manufactured housing appraisals. He has been honored with multiple Carlos Alvarez College of Business awards: Overall Faculty Excellence, Research, Academic Service, and Community Service. He advises the UTSA Running Club and remains active in marathons, skiing, and hiking.

Damian WardView profile

Professor

• Financial Services
• Insurance Markets
• Economic Development
• +3 more

Professor Damian Ward is a distinguished academic at the Hertfordshire Business School, specializing in applying economic analysis to financial services markets. His research focuses on insurance market growth, regulatory impacts, and consumer decision-making. He has contributed to national reviews of financial markets and been cited by the World Bank. Research Interests: Insurance economics, hedonic pricing, mortgage markets, regulatory economics, and financial performance metrics. Key Contributions: Authored a textbook on business economics and published studies on rating transition matrices, price dispersion, and mortgage market efficiency. His work bridges theoretical economics with practical applications, influencing policy and industry practices.

• Supply Chain Management
• Blockchain Applications
• Circular Economy
• +7 more

Giovanna Lo Nigro is an Ordinary Professor at the University of Palermo, Department of Management Engineering. Her research focuses on strategic management, supply chain innovation, blockchain applications, and biopharmaceutical alliances. She has advised numerous theses on topics like the space economy, circular economy, and Industry 4.0. Her work bridges operational research with economic policy, emphasizing sustainable practices and digital transformation. Recent publications explore pandemic impacts on sharing economies, blockchain in manufacturing, and strategic decision-making under uncertainty. She collaborates internationally on EU-funded projects and maintains active Erasmus partnerships with universities in France, Poland, and Lithuania. Education: Expertise in management engineering, with a focus on decision support systems and strategic alignment. Research Interests: Blockchain technology, sustainable logistics, biopharmaceutical alliances, Industry 4.0, behavioral economics, and post-pandemic business models. Her articles analyze complex systems like supply chain finance, space economy governance, and dynamic pricing strategies. She has contributed to frameworks for optimizing R&D portfolios and evaluating alliance timing in biopharmaceutical industries. Current work includes exploring the interplay between reshoring policies and financial performance, as well as designing resilient healthcare systems post-COVID-19.

Jeff JewellView profile

Professor

• Financial Analysis
• Corporate Finance
• Teaching Methodologies
• +3 more

Jeff Jewell is a Professor and Chair of the Accounting Department at Lipscomb University's College of Business. He holds a PhD in Finance from the University of Florida, an MBA with a Finance concentration from the University of Alabama, and a BA in History from Harding University. His teaching spans undergraduate courses in Corporate Finance, Portfolio Management, Investment Banking, and MBA-level Financial Management. He has over 30 years of academic experience, including consulting work and a decade as a partner in an investment advisory firm. His research focuses on financial analysis, pedagogical best practices, and case writing in business education. Dr. Jewell’s professional expertise bridges academia and industry, emphasizing practical applications of financial theory. He has contributed to interdisciplinary education reforms, particularly in standardizing financial statement analysis across business curricula. His consulting background informs his research on real-world business challenges, such as corporate tax strategies and entrepreneurial ventures. His publications span topics from international tax policy (e.g., corporate repatriation) to innovative teaching methodologies, reflecting a dual commitment to financial rigor and pedagogical innovation. While no specific awards are listed, his tenure and contributions to Lipscomb’s College of Business underscore his sustained impact in academia.