Exploring the Evolution of Robust Portfolio Optimization: A Scientometric Analysis

In the wake of recent turbulent events in the global economy, the need for robust methods to navigate uncertainties in financial markets has become increasingly apparent. Robust portfolio optimization (RPO) offers a solution by devising investment strategies that perform well even under adverse scenarios of uncertain inputs such as returns and covariances. This paper conducts a systematic review of recent developments and extensions in the field of RPO. Leveraging bibliometric analysis and visual mapping techniques, we scrutinize ۱۰۸۵ articles published between ۲۰۰۰ and ۲۰۲۳. Our analysis traces the evolution and trends within RPO, examining the interconnectedness among articles, authors, sources, countries, and keywords. The insights gleaned from our study can guide future research endeavors in this domain and aid practitioners in making more informed investment decisions.

Keywords:

Bibliometric Analysis , Financial markets , Robust Portfolio Optimization , Uncertainty , Scientometric Analysis