Constructing an Investment Fund through Stock Clustering and Integer Programming

Autor: Gharanchaei, Maysam Khodayari, Panda, Prabhu Prasad
Rok vydání: 2024
Předmět:
Zdroj: Journal of Advancements in Applied Business Research, June 2024
Druh dokumentu: Working Paper
Popis: This paper focuses on the application of quantitative portfolio management by using integer programming and clustering techniques. Investors seek to gain the highest profits and lowest risk in capital markets. A data-oriented analysis of US stock universe is used to provide portfolio managers a device to track different Exchange Traded Funds. As an example, reconstructing of NASDAQ 100 index fund is presented.
Databáze: arXiv