The amount of research related to financial technologies (fintech) has grown rapidly since
these modalities have been implemented. A review of this literature base will help identify …

Using a systematic literature review, our study analyzes articles on robo-advisors between
2017 and 2022. Our review identifies four relevant research streams: early classification of …

While portfolio optimization is generally based on the return and risk of a portfolio, goal-
based investing primarily focuses on achieving financial goals of individuals, which has …

We develop a dynamic programming methodology that seeks to maximize investor
outcomes over multiple, potentially competing goals (such as upgrading a home, paying …

This paper introduces a multistage stochastic mixed-integer programming model designed
for a goal-based investing (GBI) problem, incorporating the option of goal postponement …

Portfolio optimization is the basic quantitative approach for finding optimal portfolio weights.
It has become increasingly important as portfolio construction involves more and more data …

Purpose: The article aims to uncover the dependencies in the use of modern technologies to
plan personal finances in two key areas: career advice and computer software that monitors …

Household finances are being threatened by unprecedented social and economic
upheavals, including an aging society and slow economic growth. Numerous researchers …

The multi-stage stochastic programming (MSP) approach is widely used to solve financial
planning problems owing to its flexibility. However, the size of an MSP problem grows …

Abstract Financial Robo-Advisor is the technology that integrates machine learning and self-
identification to determine investment decisions. This study explores the financial robo …