This research assesses the prediction of Bitcoin prices using the autoregressive integrated moving average (ARIMA) and long-short-term memory (LSTM) models. We forecast the price of Bitcoin for the following day using the static forecast method, with and without re-estimating the forecast model at each step. We take two different training and test samples into consideration for the cross-validation of forecast findings. In the first training sample, ARIMA outperforms LSTM, but in the second training sample, LSTM exceeds ARIMA. Additionally, in the two test-sample forecast periods, LSTM with model re-estimation at each step surpasses ARIMA. Comparing LSTM to ARIMA, the forecasts were much closer to the actual historical prices. As opposed to ARIMA, which could only track the trend of Bitcoin prices, the LSTM model was able to predict both the direction and the value during the specified time period. This research exhibits LSTM's persistent capacity for fluctuating Bitcoin price prediction despite the sophistication of ARIMA.
The objective of this chapter is to discuss the changes incorporated in the human resource management strategies post-pandemic situation owing to the COVID-19 pandemic which has instigated disaster across the Indian information technology sector. However, the information technology (IT) industry has been cruising through the situations steadily compared to the other sectors as it has adopted certain innovative human resource (HR) management strategy coupled with technological innovation. The theoretical investigation using the secondary data sources and views of HR professionals clearly reveals that the information technology sector has incorporated strategic changes to restore the balance and control the distortion caused by the COVID-19 pandemic to the industry. More specifically, the diverse HR strategies incorporated by the IT firms in their efforts were focused to combat the economic repercussions caused by the pandemic, keeping in mind the financial strength of the company, employee morale, future business outlook, and employer branding.
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