Portfolio management with big data

• Francisco Peñaranda ^[1] ; Enrique Sentana ^[2]
  1. [1] Queens College CUNY
  2. [2] CEMFI
• Localización: Documentos de Trabajo ( CEMFI ), Nº. 11 (CEMFI Working Paper No. 2409 June 2024), 2024
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• Resumen

  • The purpose of this survey is to summarize the academic literature that studies some of the ways in which portfolio management has been affected in recent years by the availability of big datasets: many assets, many characteristics for each of them, many macro predictors, and various sources of unstructured data. Thus, we deliberately focus on applications rather than methods. We also include brief reviews of the financial theories underlying asset management, which provide the relevant background to assess the plethora of recent contributions to such an active research field.