Lead Indicators
Lead Indicators are economic variables that historically change direction before the broader economy turns, allowing analysts and policymakers to anticipate future economic conditions rather than simply observe them after the fact.
The value of lead indicators lies in their predictive relationship with economic activity. Because macroeconomic aggregates like GDP are measured and published with significant lags, analysts rely on faster-moving indicators that tend to peak or trough several months ahead of the business cycle. Identifying true leading relationships requires rigorous statistical analysis—correlation without causation can mislead.
In the Indian context, widely used lead indicators include the Services and Manufacturing PMI (especially new orders components), RBI's Business Expectations Index from the quarterly Industrial Outlook Survey, credit growth in bank loans, stock market performance (which discounts future earnings), auto registrations (especially commercial vehicles, which reflect freight demand), electricity consumption growth, railway freight loading, and steel consumption. Each of these captures a different facet of forward economic momentum.
The OECD produces a Composite Leading Indicator (CLI) for India that draws on a basket of variables calibrated against India's industrial production cycle. The CLI is designed to give a six-to-nine month lead on turning points. However, its efficacy has sometimes been questioned for India because of the economy's large informal sector, which is poorly captured by the formal statistical data that feeds the CLI.
Leading indicators are particularly useful at economic inflection points. Before India's growth slowdown of 2019–2020, several lead indicators—auto sales, credit growth, PMI new orders—turned down well ahead of the GDP data. Conversely, the sharp recovery in PMI data from June 2020 onwards correctly anticipated the V-shaped rebound in GDP. Investors who tracked these indicators could reposition portfolios ahead of the formal confirmation.
However, lead indicators are not infallible. They can generate false signals, especially when disruptions are policy-driven rather than cyclical. The 2016 demonetisation, for instance, caused sharp but temporary falls in lead indicators that did not translate into a prolonged recession.