The economic growth of India has positioned it as one of the rapidly growing economies the world over and it is expected to be one of the top three economies globally over the next decade. Contrary to a slowdown in the earnings of Indian corporates due to excess existing capacity and the inability of banks to lend, the stock market ie Bombay Stock Exchange has performed well. The objective of the present research is to investigate the link that exists, if any, between BSE Sensex and macroeconomic variables such as Index of Industrial Production (IIP), inflation, the rate of interest, the price of gold, rate of exchange, FII and supply of money for the period April 1999-March 2017. The study also seeks to determine the strength of the link between the independent parameters and the dependent parameter ie BSE Sensex in the short run and long run based on the test of Johansen Cointegration, Granger Causality, and the Vector Error Correction mechanism. The analysis through the Vector Error Correction Model (VECM) confirms that there exists a long-run causality between the macroeconomic variables of Index of Industrial Production (IIP), inflation, interest rates, gold prices, exchange rate, foreign institutional investment, money supply and BSE Sensex. It establishes that there does exist a short run causality between Inflation and BSE Sensex and Money Supply and BSE Sensex. The results importantly show that BSE Sensex causes changes in the exchange rate and money supply, FII, gold prices and IIP.

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The Coronavirus pandemic has induced a huge economic crisis. The norms of social distancing and consequent lockdown to flatten the curve of this infection has brought economic activity across the globe to a standstill. A mass exodus of workers from major urban centres of India to their native villages started. Mental, financial and emotional agony inflicted due to job-loss, lack of job and livelihood opportunities led to this. A massive macroeconomic crisis for the country with serious ramifications has consequently exploded. The present study explores and captures the diffusion and discovery of information about the various facets of reverse migration in India using Twitter mining. Tweets provide extensive opportunities to extract social perceptions and insights relevant to migration of workers. The massive Twitter data were analysed by applying text mining technique and sentiment analysis. The results of the analysis highlight five major themes. The sentiment analysis confirms the confidence and trust in the minds of masses about tiding through this crisis with government support. The study brings out the major macroeconomic ramifications of this reverse migration. The study's findings indicate that a concentrated joint intervention by the State and Central Governments is critical for successfully tiding through this crisis and restoring normalcy. The subsequent policy measures announced by the government are being critically gauged. In addition, the authors have proposed measures to ameliorate this damage on the formal and informal sectors.

In India, the retail industry is rapidly growing and the US$ 600 Billion industry is all set to touch the US$ 1 Trillion mark by 2020. With rising disposable income levels, Indian consumers are getting sophisticated day by day and gone are the days when customers are dependent on a handful of brands. All the retailers are trying to woo customers by making their products available according to the convenience of customers and gain a share of the customer's wallet. The availability of many brands is making the customers try different brand which is decreasing customer loyalty. Loyal customers are always helpful for a retailer as the life time value of loyal customers is much higher than that of disloyal customers. The research study aims to understand and analyse the factors affecting customer loyalty in NCR. The research studies four major factors which impact customer loyalty, i.e., customer service of the retailer, brand image of the retailer, trustworthiness of the retailer and special benefits provided by the retailer to the loyal customers.