Nowcasting industrial performance using alternative data

Matt Yome, Research Analyst

Post feature

We review ​the paper, "A Nowcasting Model of Industrial Production using Alternative Data and Machine Learning Approaches" by Kakuho Furukawa, Ryohei Hisano, Yukio Minoura, and Tomoyuki Yagi. The article was published in 2022 in Japan and the World Economy, an academic journal covering macroeconomic and finance topics related to Japan. The authors use alternative data sources and machine learning techniques to enhance the nowcasting of Japan's Indices of Industrial Production (IIP). As a major global exporter of autos, electronics and machinery, we believe investors may be highly interested in Japan’s production trends.