Innovative Empirical Approaches for Behavioural Finance Research

An interdisciplinary subject matter referred to as behavioral finance, which mixes psychology and economics, has shed focus on the intricacies of human being's actions inside the economic marketplace. Even though they're beneficial, traditional conventional methods often fall short of capturing the complex and illogical components of decision-making which can be at the coronary heart of behavioral finance phenomena. This research paper examines present-day empirical techniques that provide new vantage factors and better comprehension of behavioral finance. We begin by means of intensive observation of the literature to discover any gaps or restrictions in the methods currently being used in research. Then, we present a huge range of current empirical methodologies, such as neuro-finance, experiential economics, huge records evaluation, and blockchain strategies. With the use of those methods, we may also explore investor behavior, sensory evaluation, and marker dynamics in new ways. This study demonstrates the changing nature of behavioral finance research, which is defined by cutting-edge empirical strategies that make use of big data, neuro-finance, experimental techniques, and cross-disciplinary cooperation.