Lemoine Derek, Kapnick Sarah
University of Arizona, 1130 E. Helen St, McClelland 401, Tucson, AZ, 85721, USA.
National Bureau of Economic Research, 1050 Massachusetts Ave, Unit 32, Cambridge, MA, 02138, USA.
Nat Commun. 2024 May 14;15(1):4059. doi: 10.1038/s41467-024-48420-z.
Scientific agencies spend substantial sums producing and improving forecasts of seasonal climate, but they do so without much information about these forecasts' value in practice. Here we show that financial market participants value the production of seasonal forecasts: options traders price the uncertainty generated by upcoming United States National Oceanic and Atmospheric Administration Winter and El Niño Outlooks. Each outlook affects firms throughout the economy, with total market capitalization of $6 and $13 trillion, respectively. A 1% improvement in the skill of the El Niño Outlook reduces firms' exposure to a one standard deviation shock by $18 billion and induces traders to spend an additional $2 million hedging the outlook's news. Firms must not be able to undertake ex-ante adaptation that would eliminate their exposure to the forecasted portion of seasonal climate without imposing substantial costs of its own.
科研机构投入大量资金来制作和改进季节性气候预测,但他们这样做时,并没有太多关于这些预测在实际应用中的价值的信息。在此我们表明,金融市场参与者重视季节性预测的制作:期权交易员会为即将发布的美国国家海洋和大气管理局冬季展望及厄尔尼诺展望所产生的不确定性定价。每次展望都会影响整个经济中的企业,其总市值分别为6万亿美元和13万亿美元。厄尔尼诺展望技能提高1%,会使企业面临一个标准差冲击的风险敞口减少180亿美元,并促使交易员额外花费200万美元来对冲该展望带来的消息。企业想必无法进行事前调整,从而消除其在不承担高昂成本的情况下,对季节性气候预测部分的风险敞口。