Early detection of financial instability remains a central challenge in macroprudential regulation and systemic risk management. Traditional risk metrics such as Value-at-Risk, volatility indices, and credit spreads often identify stress only after instability has intensified. This paper proposes a parsimonious and empirically implementable indicator based on the imbalance between financial uncertainty and capital absorption capacity. We define financial uncertainty using Shannon entropy of rolling return distributions and capital capacity using aggregate regulatory capital ratios. The central hypothesis is that systemic fragility emerges when uncertainty growth outpaces the financial system's ability to absorb risk---captured by the Entropy-Capacity Ratio (t) = U (t) /C (t). Using US data from 2003-2012, we show that (t) began rising persistently in 2006, 12-18 months before the peak of the 2008 financial crisis. The ratio significantly outperforms volatility, capital ratios, and the VIX in predicting crisis onset, with out-of-sample AUC of 0. 81 at 12-month horizon. Cross-country robustness checks using Indian market data and BIS global banking statistics confirm the generalizability of the imbalance mechanism. The indicator is transparent, computationally simple, and directly implementable using publicly available data, offering a practical supplement to existing macroprudential surveillance toolkits.
UDESH KUMAR BHATRIYA (Wed,) studied this question.