In a breakthrough for artificial intelligence (AI) and finance, computer scientists from Texas A&M University have developed a machine learning based method called Symbolic Modeling to handle ...
The newer factor models of Hou, Xue, and Zhang and Fama and French, which include measures of asset growth to quantify investment, have been shown to add considerable explanatory power to asset ...
Asset-pricing anomalies are trading signals that predict future abnormal returns. A November 2023 study “Anomaly Time,” published in the October 2024 issue of The Journal of Finance, demonstrated that ...
In a 2025 paper published in the Journal of Investment Management, Ibbotson and two collaborators proposed a new asset pricing model that accounts for the diversity of investor preferences and beliefs ...
Custom asset allocation model portfolios are emerging as a priority for asset manager model providers, according to recent data from Cerulli Associates. Nearly 60 percent of respondents in a recent ...
A shift in how financial advisors structure client portfolios will drive asset allocation model portfolios to a new $2.9 trillion asset milestone by 2026, predicts a new report from Cerulli Associates ...
Risk modeling comes in varying shapes and sizes throughout the financial world. Having previously worked as a derivatives trader on the Chicago Board Options Exchange and as a senior risk analyst, I ...
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