Decision-making in investments is often flawed due to behavioral biases, leading to suboptimal choices. Robo-advisors aim to mitigate these biases through personalized risk assessment. However, their effectiveness in India is understudied. A study of 192 retail investors in Kolkata found that biases like overconfidence and loss aversion lead to irrational investment decisions. Surprisingly, Indian robo-advisors struggle to address these biases. The study suggests that next-gen robo-advisors, informed by behavioral finance insights, are needed to support rational investment decisions. It also highlights robo-advisors' potential to democratize financial guidance, especially for underserved populations, and advocates for greater awareness and adoption in India's financial ecosystem.
No takes yet. Share an insight, caveat, or question.
SAHA et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: