Domenico Giannone is an internationally recognized economist who develops economic models grounded in rigorous statistical and economic theory to meet the challenges of monitoring macroeconomic risks in real time, ensuring that policymakers are equipped with the most accurate and timely information. 

One of Giannone’s most influential contributions has been the development of nowcasting, a real-time economic forecasting method. Nowcasting estimates current economic conditions using streams of timely data, long before traditional indicators such as gross domestic product (GDP) are available. Giannone has also developed the growth-at-risk framework as a means of estimating the full range and distribution of possible future outcomes. Instead of predicting the average economic growth, this framework focuses on predicting vulnerabilities as a way to gain understanding of how the economy might perform in the future and assess the risk profile of different policy choices. Currently, Giannone’s focus is on improving how economic activity and risks are monitored in low-income countries, which account for a small share of global income but a large share of the global population. Giannone aims to supplement the scarcity of official data by exploring new alternative data sources, most notably, using language as data, which may be possible with recent advancements in artificial intelligence. 

Domenico Giannone joined Johns Hopkins University as a Bloomberg Distinguished Professor in 2025 from the International Monetary Fund.