{"title":"时间序列技术:估计波动性","authors":"Stephen Marra","doi":"10.3905/jpm.2023.1.475","DOIUrl":null,"url":null,"abstract":"The author examines the different methods of volatility estimation widely used among market practitioners. These techniques range from the simple to the complex and incorporate varying degrees of backward- and forward-looking data. The author discusses the characteristics of asset class returns that make volatility inherently more predictive than returns themselves. He compares a variety of volatility estimation models, assessing their characteristics and predictive abilities across different asset classes and market environments. Finally, he assesses the application of volatility estimates as an asset allocation tool.","PeriodicalId":53670,"journal":{"name":"Journal of Portfolio Management","volume":"49 1","pages":"160 - 177"},"PeriodicalIF":1.1000,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time-Series Techniques: Estimating Volatility\",\"authors\":\"Stephen Marra\",\"doi\":\"10.3905/jpm.2023.1.475\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The author examines the different methods of volatility estimation widely used among market practitioners. These techniques range from the simple to the complex and incorporate varying degrees of backward- and forward-looking data. The author discusses the characteristics of asset class returns that make volatility inherently more predictive than returns themselves. He compares a variety of volatility estimation models, assessing their characteristics and predictive abilities across different asset classes and market environments. Finally, he assesses the application of volatility estimates as an asset allocation tool.\",\"PeriodicalId\":53670,\"journal\":{\"name\":\"Journal of Portfolio Management\",\"volume\":\"49 1\",\"pages\":\"160 - 177\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Portfolio Management\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.3905/jpm.2023.1.475\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Portfolio Management","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.3905/jpm.2023.1.475","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
The author examines the different methods of volatility estimation widely used among market practitioners. These techniques range from the simple to the complex and incorporate varying degrees of backward- and forward-looking data. The author discusses the characteristics of asset class returns that make volatility inherently more predictive than returns themselves. He compares a variety of volatility estimation models, assessing their characteristics and predictive abilities across different asset classes and market environments. Finally, he assesses the application of volatility estimates as an asset allocation tool.
期刊介绍:
Founded by Peter Bernstein in 1974, The Journal of Portfolio Management (JPM) is the definitive source of thought-provoking analysis and practical techniques in institutional investing. It offers cutting-edge research on asset allocation, performance measurement, market trends, risk management, portfolio optimization, and more. Each quarterly issue of JPM features articles by the most renowned researchers and practitioners—including Nobel laureates—whose works define modern portfolio theory.