ABSTRACT
In behavioral finance, we deal with repeated biases, heuristics, and pricing inefficiencies present in financial market with limited, uncertain, risky information having time constrains, and strategic in nature. The psychological biases, emotions, stress, and individual differences influence financial decisions which further impact on financial acumen. So we need to understand how behavioral finance impact on decision-making and can we control these impacts. This study will analyze how individuals process financial information in their brain and how and what decisions arise within the brain. In fact, we will able to develop such a training module which will minimizes the impact of biases and improves the decision-making of an individual, whether investor or advisor. Technology advances especially data analysis and artificial intelligence can further play an important role for decision-making on financial analytics based on machine learning but final decision would be taken by human being. For that such a training module will help to make rational financial decision. Further analyses of impact of financial market anomalies and personality traits on financial decision-making, so that financial acumen will improve and new methods of financial acumen will develop for the betterment of the individuals and the society.
