Improving economic indicators in April show the influence of Covid-19 cases and lockdowns on economic growth is weakening. This, and new drugs on the market need to be factored in the forecasts
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The letters G, D and P may have highest importance for governments these days. Significant events generally get assessed in terms of impact on the GDP. These events may be global or domestic, the nature of event doesn’t matter. Conflict or confluence; calamity or celebration; GDP is always on the mind. Nations have assessed the crippling blows of Covid-19 in terms of deaths, and the decline in GDP. Not many recall the number of deaths it caused but most readers would recall the fall of India’s Q1 GDP by 23.9 percent. Despite India doing fairly well in managing the number of infections and deaths during the first wave, severe criticism was inflicted on the government for imposing a nationwide lockdown that caused the huge decline in the GDP. The scenario during the second wave has changed completely. The infections have spread like jungle fire yet the government refrained from imposing a nationwide lockdown. GDP on the mind? Of course
Second wave triggers downward revisions in forecasts
Institutions, both domestic as well as international, were quite confident about India’s strong economic recovery. The first wave had been managed well and the Union Budget 2021 had promised higher capex and larger borrowings. Moody’s made an upward revision in India’s GDP growth to 13.5 percent on February 25. A month later, on March 25, Fitch also made an upward revision to 12.8 percent from its previous estimate of 11 percent. But, come April, the savage onslaught of the second wave sent institutions scurrying to make downward revisions. Nomura revised it from 13.5 percent to 12.6 percent; JP Morgan from 13 percent to 11 percent; UBS from 13 percent to 11 percent; SBI from 11 percent to 10.4 percent; Kotak Mahindra Bank from 10.5 percent to 10 percent. S&P went to the extent of revising it below double-digit growth, from 11 percent to 9.8 percent.
Quick revisions in forecasts has become a common phenomenon these days. The power of technology combined with tools of business analytics has enabled the forecasters to incorporate even the very recent developments in their forecasting models. Partial lockdowns of Maharashtra, New Delhi and Punjab started eroding the confidence in the forecasted GDP. As the number of states under partial or complete lockdown increased, the downward revisions in forecasts started pouring in. Hence, the GDP forecasts may be seen as a function of mobility permitted by the governments. Mobility in turn depends on the perception of 1) fear and 2) observing the protocol of social distancing.