{"title":"利用预测和因果发现评估与初创企业估值相关的因素","authors":"Mariia Garkavenko, Tatiana Beliaeva, Éric Gaussier, Hamid Mirisaee, Cédric Lagnier, Agnès Guerraz","doi":"10.1177/10422587221121291","DOIUrl":null,"url":null,"abstract":"Research indicates that investors rely on various criteria to evaluate early-stage companies. However, past research in this area has focused on subsets of factors and does not distinguish between the predictors and causal determinants of start-up valuation. In our study, we applied machine learning and causal discovery to analyze a comprehensive dataset with 57 independent variables and 2,366 valuations of start-ups in the United Kingdom. The results show a strong relationship between good predictors and causal determinants of valuation. However, noncausal variables may still be useful for prediction, and inversely, some observed causes may not help in the prediction task.","PeriodicalId":48443,"journal":{"name":"Entrepreneurship Theory and Practice","volume":null,"pages":null},"PeriodicalIF":7.8000,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing the Factors Related to a Start-Up’s Valuation Using Prediction and Causal Discovery\",\"authors\":\"Mariia Garkavenko, Tatiana Beliaeva, Éric Gaussier, Hamid Mirisaee, Cédric Lagnier, Agnès Guerraz\",\"doi\":\"10.1177/10422587221121291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research indicates that investors rely on various criteria to evaluate early-stage companies. However, past research in this area has focused on subsets of factors and does not distinguish between the predictors and causal determinants of start-up valuation. In our study, we applied machine learning and causal discovery to analyze a comprehensive dataset with 57 independent variables and 2,366 valuations of start-ups in the United Kingdom. The results show a strong relationship between good predictors and causal determinants of valuation. However, noncausal variables may still be useful for prediction, and inversely, some observed causes may not help in the prediction task.\",\"PeriodicalId\":48443,\"journal\":{\"name\":\"Entrepreneurship Theory and Practice\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.8000,\"publicationDate\":\"2022-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Entrepreneurship Theory and Practice\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1177/10422587221121291\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Entrepreneurship Theory and Practice","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/10422587221121291","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
Assessing the Factors Related to a Start-Up’s Valuation Using Prediction and Causal Discovery
Research indicates that investors rely on various criteria to evaluate early-stage companies. However, past research in this area has focused on subsets of factors and does not distinguish between the predictors and causal determinants of start-up valuation. In our study, we applied machine learning and causal discovery to analyze a comprehensive dataset with 57 independent variables and 2,366 valuations of start-ups in the United Kingdom. The results show a strong relationship between good predictors and causal determinants of valuation. However, noncausal variables may still be useful for prediction, and inversely, some observed causes may not help in the prediction task.
期刊介绍:
Entrepreneurship Theory and Practice (ETP) is an interdisciplinary scholarly journal dedicated to conceptual and empirical research that advances, tests, or extends theory relating to entrepreneurship in its broadest sense.
Article Topics:
Topics covered in ETP include, but are not limited to:
New Venture Creation, Development, Growth, and Performance
Characteristics, Behaviors, and Types of Entrepreneurs
Small Business Management
Family-Owned Businesses
Corporate, Social, and Sustainable Entrepreneurship
National and International Studies of Enterprise Creation
Research Methods in Entrepreneurship
Venture Financing
Content:
The journal publishes articles that explore these topics through rigorous theoretical development, empirical analysis, and methodological innovation. ETP serves as a platform for advancing our understanding of entrepreneurship and its implications for individuals, organizations, and society.