Using Machine Learning to Model Advised-Investor Behavior.

HT Shiao, C Pagliaro, D Mehta - Journal of Financial Data …, 2022 - search.ebscohost.com
During periods of extreme market volatility, such as that experienced during the COVID-19
pandemic, advised investors may consider impulsive and inappropriate investment …

Health state and the savings required for a sustainable retirement

WV Harlow, KC Brown - The Journal of Retirement, 2017 - search.proquest.com
Life expectancy varies greatly with health conditions, but very rarely is this relationship
incorporated into retirement investment planning. This is surprising given that the vast …

The Role of Options in Goals-Based Wealth Management

SR Das, G Ross - Available at SSRN 3691699, 2020 - papers.ssrn.com
We develop a facile methodology using dynamic programming for goals-based wealth
management over long horizons where rebalancing uses the standard securities and also …

Investment Risk for Long-Term Investors

G Warren - Available at SSRN 3820435, 2021 - papers.ssrn.com
Investment risk is addressed from the perspective of long-term investors, with key concepts
being discussed and methods outlined for evaluating risk over long horizons. The main …

Sequence Risk: Is It Really a Big Deal?

J Estrada - The Journal of Investing, 2021 - joi.pm-research.com
Financial planners are keenly aware of, and routinely warn clients about, sequence risk; that
is, the possibility of facing a sequence of low returns early in retirement that may force …

The Intertemporal Capital Asset Pricing Model

JM Chen, JM Chen - Econophysics and Capital Asset Pricing: Splitting the …, 2017 - Springer
Conventional asset pricing models assume, rather unrealistically, that investors live for
exactly a single time span, during which they will confront no potential changes in …

The Intertemporal Capital Asset Pricing Model: Hedging Investment Risk Across Time

JM Chen, JM Chen - Finance and the Behavioral Prospect: Risk …, 2016 - Springer
The previous\ter traced the nuances of the low-volatility anomaly across behavioral space.
Specifically, it explored whether examining beta on either side of mean returns or separately …