New Frontiers of Robo-Advising: Consumption, Saving, Debt Management, and Taxes

Francesco D’Acunto, Alberto G. Rossi
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引用次数: 14

Abstract

Traditional forms of robo-advice were targeted to help individuals make portfolio allocation decisions. Based on the balance-sheet view of households, the scope for robo-advising has been expanding to many other personal-finance choices, such as households' saving and consumption decisions, debt management, mortgage uptake, tax management, and lending. This chapter reviews existing research on these new functions of robo-advising with a special emphasis on the questions that are still open for researchers across several disciplines. We also discuss the attempts to optimize jointly all personal-finance decisions, which we label ``holistic robo-advisors.'' We conclude by assessing fruitful avenues for research and practice in finance, computer science, marketing, decision science, information systems, law, and sociology.
机器人咨询的新领域:消费、储蓄、债务管理和税收
传统形式的机器人咨询旨在帮助个人做出投资组合配置决策。基于家庭资产负债表的观点,机器人咨询的范围已经扩展到许多其他个人理财选择,如家庭储蓄和消费决策、债务管理、抵押贷款、税收管理和贷款。本章回顾了关于机器人咨询这些新功能的现有研究,特别强调了几个学科的研究人员仍然存在的问题。我们还讨论了共同优化所有个人理财决策的尝试,我们称之为“整体机器人顾问”。最后,我们评估了在金融、计算机科学、市场营销、决策科学、信息系统、法律和社会学方面的研究和实践的富有成效的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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