The correction in Indian IT stocks such as Wipro, Infosys and TCS this year has left investors confused about the positions they should take to achieve maximum returns from their portfolios. Among the three IT bellwethers, Wipro stock has slipped the most, declining 45% this year. Wipro shares which closed at Rs 715.20 on December 31, 2021 were trading at Rs 394.95 in the current session. On the other hand, Infosys stock has lost 18.19% and shares of TCS have tumbled just 11.45% in 2022. In a time-span of one year too, Wipro has emerged as the top loser falling 38%, followed by Infosys (11%) and TCS (7.3%).
Shares of IT majors Infosys, Wipro and TCS have recovered up to 20% in from their 52-week lows with the equity market erasing losses during the last two months. While Infosys has recovered 20%, stock of Wipro has risen 8.33% from its 52 week low. Shares of TCS too have climbed 15.58% from their yearly low. The recovery in IT stocks comes on the back of slowing down of interest rate hike cycle in the US. The three IT majors cater to clients worldwide and relief on interest rate hike front in the US sparked a rally in the IT stocks.
Due to the complexity of transactions and the availability of Big Data, many banks and financial institutions are reviewing their business models. Various tasks get involved in determining the credit worthiness like working with spreadsheets, manually gathering data from customers and corporations, etc. In this research paper, we aim to automate and analyze the credit ratings of the Information and technology industry in India. Various Deep-Learning models are incorporated to predict the credit rankings from highest to lowest separately for each company to find the best fit model. Factors like Share Capital, Depreciation & Amortisation, Intangible Assets, Operating Margin, inventory valuation, etc., are the parameters that contribute to the credit rating predictions. The data collected for the study spans between the years FY-2015 to FY-2020. As per the research been carried out with efficiencies of different Deep Learning models been tested and compared, MLP gained the highest eff
Right after the issue of IT employees moonlighting garnered attention in India, where many of them were caught doing two jobs at the same time due to the COVID pandemic remote work mode, there is news that IT firms were delaying the onboarding of new recruits by 3-4 months and even rejecting them leading to a fear of an IT recruitment slump in the coming days. As per reports