Abstract: Portfolio optimization that allows the borrowed money from a loan to be invested in risk assets is formulated as a data-driven optimization problem called POL_P. Then, in order to reflect ...

This project allows users to work with advanced portfolio optimization using natural language, without writing code. It provides 9 specialized MCP tools covering everything from classic mean-variance ...

A useful toolkit provides multiple ways to tackle a task. Similarly, a diversified portfolio that holds a variety of assets—stocks, bonds, cash, and more—allows you to cope with volatile markets while ...

Abstract: This paper explores advanced portfolio optimization strategies using copula and GARCH models to enhance risk management and profitability in the European stock market. By utilizing ...

Building a portfolio that reliably generates more than 5% is no longer something that is only reserved for retirees or high-net-worth investors. The good news for everyday investors is that there is a ...