Artificial Neural Network assisted decision making models towards intention of investment: A study among young investors in South India

Abstract

Many investor particularly young people now invest in a wide range of securities and financial instruments due to the growth of the financial markets. The behavioral finance has provided insight into the traits and cognitive functions that affect investors intents and choices while making investments. The aim of the present is study is propose a decision making model that suits for the responsible individual young investors. Initially, the proposed model was constructed based on the recent studies and research gaps that exist. Further, various indicators such as perception, benefits and investment options, factors linked to safety, dependability and risk,technical knowledge, financial literacyand digital marketing platforms were included in this proposed model. Mathematical expression are used to predict the factor scores. Later, verification of models was performed and the best suited model was selected based on the indicator performance. Furthermore, crucially, various strategies related to implications and scalability of the proposed model are included in this study. Thus, assisting the young investors on decision making using the proposed model can create potentially wealthier nation and industry.