Top Economic Forecasting Experts 2025

Economist at U.S. Bank helping to understand both conventional and non-traditional economic indicators. Started my U.S. Bank career at branch #102 as a teller working to help pay for college. After college I had roles in the retail industry analyzing sales trends, supply chains, and pricing. After grad school I returned to U.S. Bank where my roles have included pricing strategy and forecasting prior to my current position. Attended Purdue University where I received a Master of Science degree in economics and have a Bachelor of Science degree in economics from the University of Minnesota. Born and raised in Alexandria, Minnesota and maintain that “Main Street” view in an industry full of Wall Street opinions.

Accomplished digital media and adtech pioneer with experiences in cross sector marketing, emerging media & technologies and Immersive Realities. Specialties: Futures' forecasting, go-to-market sales strategies, new revenue development, XAI, NFTs, blockchain and proto-metaverse evolution.

I write analysis on geoeconomics and the dollar at Hegemoney.com I am the Chief Economist at Column, a nationally chartered bank and technology company in San Francisco. For thirteen years I served as a senior economist at the Departments of Treasury, State, and the CIA. I am also a former FX strategist and derivatives trader. I have years of experience in sanctions, international currencies, financial infrastructure (SWIFT, international payment systems), tech, and macro conditions around the dollar.

Aishwarya Korde is a Project Manager specializing in Financial Controls and Forecasting for infrastructure and telecom projects, with expertise in budgeting, cost control, and data-driven financial analysis. She leads forecasting, variance analysis, and executive reporting while aligning finance with operations to optimize project cost efficiency and performance. Her work also extends into research, where she explores the use of predictive analytics and blockchain to enhance financial governance in project environments.

The sun ☀️ and wind 💨 are free and infinite resources, yet their inherent intermittency creates volatility that costs the sector billions annually, severely complicates market strategies, and poses a constant risk to the electrical grid that powers our world. At Steadysun, we have made resolving this paradox our core mission. We turn this chaotic uncertainty into a measurable, strategic, and competitive advantage. Our approach is built on a radical rejection of simplicity. While most forecasting solutions rely on a limited number of meteorological models, we view this as fundamentally insufficient—akin to piloting an aircraft while looking through only one window. We have engineered an AI brain 🧠, a proprietary and powerful intelligence designed to operate with a full 360-degree vision. This engine is continuously fed by an unparalleled diversity of data in the market. It aggressively aggregates and analyzes information from over twenty specialized meteorological models, ranging from global experts to hyper-local specialists, leveraging the strengths of each. Crucially, we augment this with real-time data from satellites 🛰️ tracking cloud formation, live readings from ground sensors providing on-the-spot conditions, and years of deep historical datasets that serve as our AI’s memory, allowing it to learn from and eliminate past errors. This massive data fusion is our signature: the multi-model approach. It enables us to detect weak signals that others miss, delivering power generation forecasts of exceptional reliability and predictive accuracy. For our clients, this advantage is profound and tangible. It grants power producers the ability to sell their energy at optimal prices 📈 and plan maintenance without sacrificing peak production. It equips traders with the confidence required to manage risk and capitalize on volatile market opportunities. And for grid operators, it provides the indispensable tool needed to anticipate every ramp event and guarantee security of supply for everyone. We are not just selling data. We are selling confidence—the confidence necessary to invest massively in and operate a sustainable, reliable, and profitable energy future. 🚀

Economist and Applied Economics Master's recipient at Boston College, specializing in Causal Inference, Machine Learning, and Data Engineering. Expertise in R and data visualization, as well as strong proficiency in Python and SQL. Quoted in various high profile media sources on labor market trends and how it impacts the U.S. economy, including The New York Times, Newsweek and Business Insider. Recipient of Stepstone's 10-under-30 award.

Laurence Ales is Professor of Economics at Carnegie Mellon University’s Tepper School of Business. Professor Ales is currently the Senior Associate Dean for Education at the Tepper School overseeing all the educational portfolio of the school. He joined CMU in 2008. He received a Ph.D. in Economics from the University of Minnesota in 2008 and a B.S. in Physics from the University of Rome Tor Vergata. His research focuses on the design of tax policy and on the labor implication of technological change. Recent work has analyzed how to tax the labor income of highly paid CEOs and how taxes should be designed taking into account location of work and marital status. Looking at the impact of technology Professor Ales has  studied how different types of technologies generate different patterns of task automation. His research has been published in journals such as Econometrica, the American Economic Review, and the Journal of Economic Theory.  At the Tepper School, Professor Ales currently teaches courses for the MBA program and for Executive Education.

Dr. Stephen E. Spear is a Professor of Economics at the Tepper School of Business at Carnegie Mellon University, where he has been a faculty member since 1982. He holds a Ph.D. in Economics from the University of Pennsylvania and has made significant contributions to economic theory, particularly in the areas of rational expectations, overlapping generations models, and dynamic economic models. His extensive publication record includes influential articles in top-tier journals such as Econometrica, the Journal of Political Economy, the Review of Economic Studies, and the Journal of Economic Theory. He serves as an Associate Editor for Macroeconomic Dynamics and is a Fellow of the Society for Economic Measurement and the Society for the Advancement of Economic Theory.

Danetha Doe is an economist, investor, and founder of Money & Mimosas. Since 2014, Money & Mimosas has helped visionary founders raise over $180 million in capital. She is an international speaker with the Biden-Harris U.S. Department of State, collaborating with embassies and consulates worldwide to advance economic prosperity and inclusion.Danetha is also the creator of Money.Sex.Power., an exploration of wealth, desire, and influence—challenging conventional narratives and redefining economic power through a lens of luxury, sensuality, and bold ambition. To learn more, visit: danethadoe.com

José García is a Spanish 🇪🇸🇪🇺 economist from Alicante, with academic and professional training in the USA, Germany, and Spain. He advises SMEs and independent professionals on improving the different functional areas of their businesses. In his podcast, he analyzes important economic and business news stories that often get overlooked by mainstream media. He also explains complex topics in a clear and engaging way. His podcast has now surpassed 2.5 million downloads.

One of the leading experts in the field of electromobility, with experience of up to 60,000 fully electric kilometers per year. He is currently working on a book on the subject and has been teaching at universities and colleges for decades.

I am a learner, always eager to learn new things and expand my horizons. I also love to share my learnings even if 1 out of 100 people learn from me, its worth the effort.

Burton Hollifield is the PNC Professor of Financial Economics at the Tepper School of Business at Carnegie Mellon University. Hollifield has taught courses in Investments, Corporation Finance, Portfolio Management, and Fixed Income at the Graduate and Undergraduate programs at Carnegie Mellon University and the University of British Columbia. He has won the George Leland Bach teaching award in the MBA program and the Undergraduate Teaching Award at Carnegie Mellon University. Professor Hollifield has served on the editorial boards of several academic journals including the Journal of Finance, Review of Economic Studies, Review of Finance, Journal of Financial Intermediation, Journal of Economic Dynamics and Control, and Management Science, and is a board member for the Carnegie Rochester NYU Conference on Public Policy, and is  the opast President Elect at Western Financial Association. Professor Hollifield's research interests include portfolio theory, market microstructure, bond microstructure, and dynamic asset pricing theory.

Clark Thornton is a managing partner at Rent Prosper, a Central Florida real estate investment and management firm founded in 2008 that manages 1,200+ residential units across single-family homes, multifamily properties, and more than 100 condo communities throughout Orange, Seminole, Osceola, and Brevard counties. Managing properties at scale across one of Florida's fastest-growing metro areas gives Rent Prosper a ground-level view of Central Florida's real estate market that few firms can match, spanning shifting buyer and renter demand, investment return dynamics, interest rate impacts, population migration patterns, and emerging neighborhood trends. Clark draws on Rent Prosper's 18 years of operational data and a background spanning institutional investment, real estate law, and large-scale portfolio management to speak to both the macro forces shaping Florida real estate and the ground-level realities facing property owners and investors today. Clark is particularly versed in the impact of Florida's evolving condo safety and reserve funding legislation on property owners, investors, and association-governed communities, an area of growing national significance following Florida's landmark structural inspection and reserve requirements. Clark specializes in Florida landlord compliance, condo association dynamics, tenant retention strategy, and investment property performance for both individual and institutional clients.

The RentTest API puts 140+ million property records at your fingertips, with speedy, dependable results. You’ll get in-depth owner data, value and rent estimates, comparable sales, and live listings for sale and rent, plus a wide range of market analytics to back your investment strategies and operational decisions. Whether you’re a property manager, real estate agent, or developer, RentTest integrates effortlessly into your applications and daily tasks. From assessing rent comparables to spotting market trends, RentTest equips you with the precise, real-time data you need to work more efficiently and effectively.

Akshaya Jha is an Assistant Professor of Economics and Public Policy, Carnegie Mellon University, Heinz College of Information Systems and Public Policy Jha’s research interests lie at the intersection of energy and environmental economics and industrial organization. His research uses a combination of economic modeling and causal inference techniques to quantify the economic and environmental costs and benefits of a wide range of policies impacting wholesale electricity supply. In recent work, he has examined the introduction of financial trading to California’s wholesale electricity market, the phase-out of nuclear power in Germany, the dramatic growth of rooftop solar capacity in Western Australia, and the determinants of electricity blackouts in India. He received a BS in Economics and Statistics from Carnegie Mellon University, and a PhD in Economics from Stanford University.

Chris Telmer is an Associate Professor of Financial Economics at Carnegie Mellon University's Tepper School of Business. His research interests include the effect of government subsidies on the financing of renewable energy assets, consumption behavior, exchange rate behavior, the effects of labor-market risk on financial markets, and intergenerational mobility. Prior to joining the Tepper School in 1993, he studied at The University of Western Ontario (BA Hons., 1986) and Queen's University at Kingston (PhD, 1992). He has been a visiting scholar in the Federal Reserve System and at universities in Canada, Chile, Japan, Spain and Sweden. He has served as an educational consultant in Japan, The Russian Federation, Spain, Ukraine and on Wall Street. In 1995 he was awarded the Undergraduate Teaching Award, and in 2001 he was awarded the George Leland Bach Award for MBA Teaching, both at the Tepper School of Business. He grew up in the Toronto area and remains an avid supporter of the Maple Leafs.

Matt Layton is a senior consumer analytics executive, economic analyst, and civic thinker focused on how financial pressure, institutional design, and public narrative shape real-world outcomes. He currently serves as Senior Vice President of Analytics & Business Insights at LegalShield, where he leads large-scale analytics programs and is the architect and primary voice behind the Consumer Stress Legal Index (CSLI), a real-time indicator built from millions of legal service inquiries that track household and small-business financial strain across the United States. Matt’s work sits at the intersection of data, governance, and public understanding. He is regularly cited in national media for insights on consumer debt, bankruptcy trends, affordability pressure, and the growing gap between headline economic indicators and lived experience. His analysis emphasizes early signals, feedback loops, and the ways institutions succeed—or fail—at learning before stress becomes crisis. In parallel, Matt is the founder of The Layton Lens and LASO (Layton Analytics, Strategy, and Outlook), a platform and advisory practice dedicated to translating complex economic and political dynamics into actionable intelligence for leaders, organizations, and communities. His writing and briefings focus on consumer and small-business stress, adaptive governance, and the narratives that shape public trust and decision-making. Across corporate leadership, public service, and independent analysis, Matt is known for combining rigorous data with clear judgment—grounded in the belief that strong institutions, like strong democracies, endure not through certainty, but through learning.