{"title":"理论在金融研究中的作用","authors":"Itay Goldstein","doi":"10.1111/fire.12443","DOIUrl":null,"url":null,"abstract":"<p>Over the years, a big part of research in finance has been directed toward the development of new theories based on mathematical formalism. I review classic examples demonstrating the success of this approach, how it enabled transformation in analysis, and had spillovers to measurement, policy, and practice. I discuss the limitations of mathematical models and how these models should be evaluated. Finally, I argue that, despite the greater prevalence of data and empirical methods these days, there are still many opportunities for theory research. I provide some examples. Enabling these opportunities is critical for the continued progress of the field.</p>","PeriodicalId":47617,"journal":{"name":"FINANCIAL REVIEW","volume":"60 3","pages":"657-666"},"PeriodicalIF":2.1000,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The role of theory in finance research\",\"authors\":\"Itay Goldstein\",\"doi\":\"10.1111/fire.12443\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Over the years, a big part of research in finance has been directed toward the development of new theories based on mathematical formalism. I review classic examples demonstrating the success of this approach, how it enabled transformation in analysis, and had spillovers to measurement, policy, and practice. I discuss the limitations of mathematical models and how these models should be evaluated. Finally, I argue that, despite the greater prevalence of data and empirical methods these days, there are still many opportunities for theory research. I provide some examples. Enabling these opportunities is critical for the continued progress of the field.</p>\",\"PeriodicalId\":47617,\"journal\":{\"name\":\"FINANCIAL REVIEW\",\"volume\":\"60 3\",\"pages\":\"657-666\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"FINANCIAL REVIEW\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/fire.12443\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"FINANCIAL REVIEW","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/fire.12443","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Over the years, a big part of research in finance has been directed toward the development of new theories based on mathematical formalism. I review classic examples demonstrating the success of this approach, how it enabled transformation in analysis, and had spillovers to measurement, policy, and practice. I discuss the limitations of mathematical models and how these models should be evaluated. Finally, I argue that, despite the greater prevalence of data and empirical methods these days, there are still many opportunities for theory research. I provide some examples. Enabling these opportunities is critical for the continued progress of the field.