{"title":"Investing Behaviour of the IT Millennials with Respect to Retirement Planning","authors":"R. Moray, Vanishree Pabalkar, Nema Buch","doi":"10.18488/journal.1007/2019.9.8/1007.8.188.201","DOIUrl":null,"url":null,"abstract":"The objective of this study is to identify the demographic factors and behavioural biases affecting the financial planning of the Millennials. For this purpose the investing behaviour of the Millennials in the IT Industry as a representative sample with respect to retirement planning has been studied using the Retirement Wellness Score. Logistic regression analysis was performed to determine the likelihood of whether the Millennials are ready for retirement with the main aim of showing the relationship between the study variables. An attempt has been made to develop a predictive model that would help in determining the Millennials’ readiness for retirement given their demographic variables and dominant bias presence. This research contributes to developing an understanding of Millennials’ financial planning for retirement.","PeriodicalId":426560,"journal":{"name":"Asian Journal of Empirical Research","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Empirical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18488/journal.1007/2019.9.8/1007.8.188.201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The objective of this study is to identify the demographic factors and behavioural biases affecting the financial planning of the Millennials. For this purpose the investing behaviour of the Millennials in the IT Industry as a representative sample with respect to retirement planning has been studied using the Retirement Wellness Score. Logistic regression analysis was performed to determine the likelihood of whether the Millennials are ready for retirement with the main aim of showing the relationship between the study variables. An attempt has been made to develop a predictive model that would help in determining the Millennials’ readiness for retirement given their demographic variables and dominant bias presence. This research contributes to developing an understanding of Millennials’ financial planning for retirement.