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India’s Retail Inflation

Context

India's retail inflation has recently hit a 59-month low of 3.54% in July 2024. This significant decrease comes after a high inflation rate of 7.44% in July 2023. The decline in inflation is largely attributed to a high base effect from the previous year, which has also led to a drop in food inflation.

Key Factors Influencing Inflation:

  • High Base Effect: The significant drop in inflation is partly due to comparing current prices with a high price level from last year.
  • Core Inflation: This, which excludes volatile items like food and fuel, rose to 3.4% in July due to higher gold prices and telecom tariff increases.

Future Projections:

  • Short-Term: Inflation for August is expected to remain around 3.5%, but may rise afterwards.
  • Food Prices: Key issues remain high inflation in cereals and pulses, with prices for these items well above 6% for over a year.
  • RBI’s Outlook: The Reserve Bank of India (RBI) expects inflation to average 4.4% for Q2FY24, but actual rates may be closer to the previous forecast of 3.8%. Inflation in the second half of the year might be below the central bank’s forecast of 4.5%.
  • Monetary Policy: Despite the lower inflation, the RBI's current interest rate (repo rate) is 6.5%. Rate cuts are not expected soon due to strong economic growth.

Key Concepts and Terms

  • Consumer Price Index (CPI): CPI is a metric used for measuring inflation in India. It measures changes over time in general level of prices of goods and services that households acquire for the purpose of consumption. The change in the price index over a period of time is referred to as CPI-based inflation, or retail inflation.
  • CPI formula: (Price of basket in current period / Price of basket in base period) x 100
  • Repo Rate: The rate at which the central bank (RBI) lends money to commercial banks, influencing overall interest rates and economic activity.
  • High Base Effect: The high base effect refers to a statistical phenomenon where the comparison of current data with a high-value data point from a previous period distorts the perception of change. Specifically, if the previous period had unusually high values, the percentage change in the current period might appear more significant or more favorable than it actually is.
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