The present study examines the Indian small-cap cycle between April 2011 and March 2022. The ordinary least squares (OLS) estimate shows that investors can benefit from investing in the Nifty Small-Cap 100 index by following a proper exponential moving average strategy. The study findings also highlighted that among macroeconomic factors, ‘term spread’ might influence the Nifty Small-Cap 100 index returns (NIFSC100R). The daily returns of the Russell 2000 index, the relative change in international crude oil prices (RCO), and the relative change in the exchange rate between USD and INR (RUSDINR) show no statistically significant impact on NIFSC100R.
Robo-advisors are still in their nascent stages of use, and this technology has yet to find wider acceptance with investors. Our study extends the domain of technology acceptance to robo-advisors by identifying the drivers of investor adoption. Investment decisions carry high risks; thus, there is a greater need to understand investor behaviour to adopt robo-advisors. Trust, anxiety, performance expectancy, and preference for human advisors are used as variables to predict investors’ intentions. PLS-SEM is employed to examine the data with a sample size of 445 investors. Results suggest that all these variables play a significant role in determining the behavioural intention of investors towards the adoption of robo-advisors.