Rare Disaster Concerns in Predicting Oil
利用1986年至2022年《华尔街日报》头版文章构建新闻隐含石油波动率（NOVX），发现该指标能显著预测石油收益，其中政府和自然灾害相关的担忧作用尤为突出，且NOVX上升会减少石油产量和经济活动。
ABSTRACT We construct a text‐based measure of oil market uncertainty using Wall Street Journal front‐page articles from January 1986 to December 2022. This measure, the news implied oil volatility (NOVX), is derived from over 100,000 articles and reflects oil market uncertainty during key historical events. NOVX emerges as a significant predictor of oil returns, both in‐sample and out‐of‐sample, outperforming existing predictors like real‐time, interest rate, and macroeconomic variables, as well as other news‐based indices. Following Manela and Moreira (2017), we decompose NOVX to identify different rare disaster concerns. Among these concerns, those related to government and natural disasters play particularly significant roles in forecasting oil returns. Additionally, we identify an economic mechanism: increases in news‐implied oil volatility reduce oil production and economic activity, while increasing oil inventories and decreasing oil prices.