{"title":"从股票价格中恢复选举获胜的可能性","authors":"M. Hanke, Sebastian Stöckl, Alex Weissensteiner","doi":"10.2139/ssrn.3739982","DOIUrl":null,"url":null,"abstract":"Abstract After the 2020 U.S. presidential election, counting votes and calling states took more time than usual, particularly in battleground states. In the days following the election, winning probabilities changed frequently as new results were tabulated. Based on the sensitivity of stocks to changes in winning probabilities observed before the election, we show how the stock market’s assessment of the unobserved post-election winning probabilities can be backed out from stock prices. Our approach is based solely on publicly available data.","PeriodicalId":170831,"journal":{"name":"Public Choice: Analysis of Collective Decision-Making eJournal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Recovering Election Winner Probabilities from Stock Prices\",\"authors\":\"M. Hanke, Sebastian Stöckl, Alex Weissensteiner\",\"doi\":\"10.2139/ssrn.3739982\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract After the 2020 U.S. presidential election, counting votes and calling states took more time than usual, particularly in battleground states. In the days following the election, winning probabilities changed frequently as new results were tabulated. Based on the sensitivity of stocks to changes in winning probabilities observed before the election, we show how the stock market’s assessment of the unobserved post-election winning probabilities can be backed out from stock prices. Our approach is based solely on publicly available data.\",\"PeriodicalId\":170831,\"journal\":{\"name\":\"Public Choice: Analysis of Collective Decision-Making eJournal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Public Choice: Analysis of Collective Decision-Making eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3739982\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Choice: Analysis of Collective Decision-Making eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3739982","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recovering Election Winner Probabilities from Stock Prices
Abstract After the 2020 U.S. presidential election, counting votes and calling states took more time than usual, particularly in battleground states. In the days following the election, winning probabilities changed frequently as new results were tabulated. Based on the sensitivity of stocks to changes in winning probabilities observed before the election, we show how the stock market’s assessment of the unobserved post-election winning probabilities can be backed out from stock prices. Our approach is based solely on publicly available data.