VIX Futures
VIX futures were derivatives contracts whose underlying was a measure of implied volatility — in the Indian context, India VIX, the NSE's index measuring the 30-day implied volatility of Nifty 50 options — and whose price reflected the market's expectation of where that volatility index would stand at a specified future expiry date.
India VIX was computed by NSE using a methodology derived from the CBOE VIX framework, aggregating a model-free weighted portfolio of out-of-the-money Nifty call and put prices across multiple strikes to extract the market's consensus expectation of 30-day forward realised variance. The resulting number, expressed as an annualised percentage, was India's primary real-time gauge of options-implied fear or uncertainty in the equity market. During calm bull markets, India VIX traded in the 12–16 range; during acute stress events, it spiked above 30 or even 50 (as it did in March 2020).
NSE had periodically explored the listing of India VIX futures — exchange-traded contracts that would allow participants to take long or short positions on future India VIX levels. As of the period covered by this entry, India VIX futures had been listed by NSE but had faced persistent liquidity challenges, with traded volumes remaining thin and bid-ask spreads wide, limiting their practical utility for most market participants. The experience mirrored that of other emerging-market volatility futures globally, where liquidity tended to concentrate in the most established products (like CBOE's VIX futures) while domestic equivalents struggled to attract a critical mass of market makers and end-users.
The key feature of VIX futures globally — and relevant to understanding India VIX futures — was the mean-reversion property of implied volatility. Unlike equity futures, which tended to be well-anchored to the underlying equity price through the cost-of-carry relationship, VIX futures prices reflected an expectation of volatility mean-reverting to its long-run average over the contract's lifetime. Near-dated VIX futures were typically close to the current spot VIX, while far-dated VIX futures reflected the long-run average rather than the current elevated or depressed level. This created a distinctive term structure for VIX futures: in normal markets, the term structure was upward-sloping (contango) because near-term VIX was below its long-run average; in crisis markets, it was downward-sloping (backwardation) because current elevated VIX was expected to fall back.
The practical use cases for India VIX futures included portfolio hedging (buying VIX futures to profit in a spike scenario that would otherwise hurt an equity portfolio), volatility trading (taking views on whether current IV was too high or too low relative to expected future realised volatility), and spread trading (buying spot or near-dated VIX against selling far-dated VIX in a backwardation play). Each of these applications required a clear understanding of the mean-reverting nature of volatility and the term structure dynamics, which differed fundamentally from those of equity or commodity futures.
The relationship between India VIX and Nifty options pricing was direct and fundamental. India VIX rose when options across the Nifty surface became more expensive collectively; it fell when they became cheaper. Any participant trading Nifty options — whether through directional strategies, volatility plays, or income-generation structures — was implicitly taking a view on India VIX even if they did not directly trade VIX futures.