Fate of Some Tourism Companies Pre and during Covid 19 - Using Various Machine Learning Models.

Covid 19 is a new face of death and suffering in the world nowadays. When it started in the year 2019, it came with a lot of risks and uncertainties. World Health Organization (WHO) had no clue about the treatment and measures for this disease and so people got puzzled and started locking down themselves to avoid getting infected. Interstate and inter-country travelling got seized and the worst affected sector in this pandemic became the tourism industry. In this paper, the stock prices six multi-national tourism companies that operate in India, have been forecasted using some online learning algorithm Long Short Term Memory (LSTM), Recurrent Neural Network (RNN), Convolutional Neural Network (CNN), Least absolute Shrinkage and Selection Operator (LASSO), Gated Recurrent Unit (GRU) and Random Forest (RF). As we know that predicting stock prices is difficult due to its randomness, it requires extensive study of the stock market and intervention of statistical and machine learning models. This research attempts to examine whether the forecasting before the pandemic is better than during the pandemic for each of the six leading multinational tourism companies. [ABSTRACT FROM AUTHOR]