I study how economic narratives shape markets and the macroeconomy.
Cameron School of Business · Department of Economics & Finance
University of North Carolina Wilmington
Recent · Published
“Beyond News Headlines and TF-IDF: Enhancing Text-Based Forecasting Models with Validated Collocations and Improved Attention,” International Journal of Forecasting (2026).
I am an Assistant Professor of Economics at the University of North Carolina Wilmington. My research lies at the intersection of macroeconomics and finance, with a focus on how narratives, information, and expectations shape asset prices and macroeconomic outcomes.
My work develops and applies text-based measures of economic narratives using large-scale news data, combined with high-frequency identification strategies and structural econometric methods. I am particularly interested in understanding how markets respond to new information, how expectations are formed, and how these processes are transmitted to the broader economy.
While many of my applications focus on energy markets — especially oil — my broader research agenda centers on narrative-driven fluctuations, expectation formation, and the role of information in macro-financial dynamics.
Markets respond not only to what happens, but to how what happens is told.
Research Interests
MacroeconomicsFinancial EconomicsExpectations & Information TransmissionText-Based / Narrative EconomicsEnergy Markets
§ II
Research
Publications
Featured · Published/2026
Beyond News Headlines and TF-IDF: Enhancing Text-Based Forecasting Models with Validated Collocations and Improved Attention
Gabriel A. Abeyie
International Journal of Forecasting
Reading the full text of news articles — not just headlines — and validating collocations such as “price fell,” “prices tumbled,” and “price dropped,” substantially improves crude-oil price forecasts.
This paper proposes a method for enhancing text-based forecasting models, with a specific focus on predicting crude oil prices. Utilizing advanced techniques, including pattern validation and attention mechanisms, the study demonstrates notable improvements in predictive power over traditional approaches. One key finding is that considering the full text of news articles, rather than limiting the analysis to news headlines, leads to significant gains in forecasting accuracy. Furthermore, the model featuring verb-noun and noun-verb collocation pattern validation consistently outperforms benchmarks and models based solely on news headlines across various forecasting horizons. The results suggest that the presence of such collocations as “price fell,” “prices tumbled,” and “price dropped” in crude-oil-related news articles is associated with a decrease in oil price returns. Additionally, integrating macroeconomic data with text-based features enhances predictive performance, demonstrating that combining structured economic indicators with textual features improves forecasting accuracy.
Not All Oil Narrative Shocks Are Alike: The Macroeconomic Effects of News-Driven Sentiment and Uncertainty Shocks
Gabriel A. Abeyie
Under Review
Bullish oil-narrative sentiment shocks transmit through a demand-side information channel; oil-narrative uncertainty shocks transmit through a supply-side real-options channel. When both hit together, the result is stagflationary.
This paper studies whether oil-market narratives have macroeconomic effects, and whether those effects differ depending on whether narratives convey directional information or uncertainty. I construct new monthly oil narrative sentiment and uncertainty indices from Wall Street Journal and New York Times articles from 1953 to 2022 and classify oil-related coverage into five narrative types. Using the type-specific narrative decomposition as external instruments in a Proxy-SVAR, I identify two structurally distinct narrative shocks. A bullish narrative sentiment shock raises the real oil price persistently, increases world industrial production, raises world oil production, and gradually passes through to consumer prices, consistent with a demand-side information channel. By contrast, an elevated narrative uncertainty shock reduces world oil production and world industrial production, while producing only a muted response of the real oil price and consumer prices, consistent with a supply-side real-options channel. When both shocks hit simultaneously, the combined effect produces a stagflationary pattern in which oil prices and inflation rise while production and activity respond weakly. These findings show that oil-market narratives contain macroeconomically relevant variation beyond physical oil shocks and that separating directional tone from ambiguity is essential for understanding how oil news transmits to the broader economy.
Oil news has no single banking effect: supply-disruption narratives predict higher credit losses and weaker growth at oil-exposed banks, while demand-salience narratives predict the opposite.
Oil-market news can signal very different risks for banks exposed to oil-producing regions. This paper studies how newspaper-based oil narratives are associated with U.S. bank balance sheets. Supply-disruption narratives predict higher cumulative loan-loss provisions and net charge-offs, lower loan growth, lower deposit growth, and weaker short-run profitability among more oil-exposed banks. Demand-salience narratives move in the opposite direction, predicting stronger lending, deposit growth, and profitability, while provisions and charge-offs decline. These findings show that oil narratives do not have one banking effect: some oil stories become bank risk, while others coincide with expansion in oil-exposed banking markets
Identifying OPEC News Shocks: The Impact of OPEC Announcements Using Textual Data
Gabriel A. Abeyie, Andrew Hanson
Under Review
This paper uses textual analysis to identify and measure the impact of OPEC news shocks on oil markets and the broader economy, developing novel methods to extract information from OPEC announcements and communications.
Draft available on request
Work in Progress
In Progress
Welfare Implications of Bubble Cycles
Gabriel A. Abeyie, Andrew Hanson
This research examines the welfare consequences of asset price bubble cycles, analyzing how boom–bust patterns in asset markets affect economic efficiency and social welfare.
In Progress
Forecasting Crude Oil Price Returns: A Principal Weighted-Elastic Net (PW-EN) Approach
Gabriel A. Abeyie, Andrew Hanson
This paper develops a novel forecasting methodology combining principal component analysis with weighted elastic net regularization to improve crude oil price return predictions using high-dimensional predictor sets.
Advanced analysis of international macroeconomic theory, including exchange rate determination, international capital flows, and global policy coordination.
Fall 2026
Scheduled
Teaching Philosophy
I am passionate about making economics accessible and engaging. I strive to help students develop strong analytical thinking skills and apply economic reasoning to real-world issues. My goal is to create an inclusive learning environment where all students can thrive and develop a deep understanding of economic principles.