Novel Covid-19 (SARS-COV-2) has surfaced as one of the extremely harmful pandemics throughout the world over the era. The pandemic has affected many government and private industrial sectors across the globe. Prediction of stock market fluctuation and its behavior (especially in a pandemic) has been a challenging task. Like other sectors, the effect of Covid-19 has a huge effect on the stock market price across the world. The role of machine learning (ML) approaches (such as ANN) has explored many efficient solutions in this domain for the last two decades. This chapter has evolved an intelligent hybrid approach of memetic firefly algorithm and functional link neural network (FLNNN) to predict the stock market of major Asian countries. A thorough analysis has been conducted on the Covid-19 impact on the stock exchange price by considering the lockdown period and post-lockdown period of these countries. Simulated results show that the proposed framework is one of the resourceful and suitable models for predicting the future stock market among other competitive models.