The simulation of human intelligence in machines, called Artificial intelligence, has risen, and plays an important role in the new banking era. The present study aims to discuss the consumer’s perspective on artificial intelligence’s adoption in Asian countries. The questionnaire was developed and distributed to collect data from five Asian countries (Pakistan, China, Iran, Saudi Arabia, and Thailand). The total useable responses were 799. The results showed that the factors (awareness, attitude, subjective norms, perceived usefulness, and knowledge of artificial intelligence technology) had a significant and positive relationship with the intention to adopt AI in the banking sector. However, perceived risk shows a negative but significant relationship with the intentions to adopt AI. Overall, the findings of this study will be a worthy insight for making strategic decision-making in the banking industry. This will enable the banking management to build a strategy to increase the trust of consumers, which will help them to overcome risks and give them confidence in using digital technology while making transactions. The banking sector also focuses on innovative AI technologies to improve customer services as well as overall growth by generating more revenue.

Greed plays an important in the fluctuations of stock prices because investors want profits irrespective of the risk taken by them. This study aims to determine, whether, in times of rising trends in the market, greediness is good for the investor or not. Secondly, investors can get high profits by beating the market or not. The already formed deciles portfolios of listed companies on NYSE, AMEX, and NASDAQ based on size and book to market value are taken from the Kenneth R. French data library from Dec 1994 to Dec 2021. Sharpe, Treynor, and Sortino ratios are used as the measure of the performance of portfolios. Ordinal logistic regression is used to calculate the probability at different benchmark levels to determine, whether the investor gets the profit by beating the market or not. The results show that the investor who used the Sharpe ratio has an average 85% probability of getting a profit of more than 75% of the benchmark of S&P-500 in all periods. Thus, the investors’ greediness is good in the long run if the investor considers total risk and can beat the market. By using the Sortino and Treynor ratio, there is an average 50% probability of achieving the profit up to the benchmark which is S&P-500. This means that the investors are not able to beat the market thus, support the efficient market hypothesis by considering the downside and market risk.