Abstract: The paper presents the post-2021
dynamics of the USD/AFN exchange rate in reference to
behavioral finance that fills a major weakness of the
traditional exchange-rate theory as applied to economies in
weak and post-conflict settings as is the case in
Afghanistan. This research incorporates the behavioral
finance principles in the analysis of currency movements. The
study uses a quantitative time-series descriptive and
analytical research methodology through secondary data to
examine the variations in USD/AFN exchange rates in
Afghanistan during the post-2021. The study also used a
theory-based event behavior mapping structure to explain the
movements in the exchange rate in terms of the main
behavioral mechanisms. The research findings showed the
contribution of behavioral biases in shaping USD/AFN exchange
rates post-2021 in Afghanistan. The policy implications
underline the roles of proper management of expectations,
transparency, and strategic communication in the exchange
rate stabilization endeavors.
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