Bibliometric review of research on exchange rate predictability and fundamentals

Abstract

This paper presents a bibliometric review of exchange rate predictability and fundamentals, using a database of 2,668 Scopus-indexed documents. This paper aims to identify gaps in the explanatory power of exchange rate models and synthesize knowledge on this topic. The analysis reveals the landscape of research, key conceptual and empirical foci, intellectual structure, key topics, and research front in the literature. The review also highlights potential focus areas such as deep learning, time-varying models, investor sentiment, and study concerning African currencies.