Quantitative Easing (QE) forced massive, often uninsured deposits onto bank balance sheets when loan demand was weak. These deposits were highly rate-sensitive. When the Fed began raising rates, this "hot money" quickly fled the system, contributing to the banking volatility seen in March 2023.

Former RBI Governor Raghuram Rajan points to a historical pattern preceding every major financial crisis: a U-shape in monetary policy. An extended period of easy money builds up risk, and the subsequent tightening phase triggers the collapse. This framework helps identify periods of heightened systemic vulnerability.

Ray Dalio argues bubbles burst due to a mechanical liquidity crisis, not just a realization of flawed fundamentals. When asset holders are forced to sell their "wealth" (e.g., stocks) for "money" (cash) simultaneously—for taxes or other needs—the lack of sufficient buyers triggers the collapse.

According to Andrew Ross Sorkin, while bad actors and speculation are always present, the single element that transforms a market downturn into a systemic financial crisis is excessive leverage. Without it, the system can absorb shocks; with it, a domino effect is inevitable, making guardrails against leverage paramount.

Widespread credit is the common accelerant in major financial crashes, from 1929's margin loans to 2008's subprime mortgages. This same leverage that fuels rapid growth is also the "match that lights the fire" for catastrophic downturns, with today's AI ecosystem showing similar signs.

Governments with massive debt cannot afford to keep interest rates high, as refinancing becomes prohibitively expensive. This forces central banks to lower rates and print money, even when it fuels asset bubbles. The only exits are an unprecedented productivity boom (like from AI) or a devastating economic collapse.

Thinking about leverage as simply "on" or "off" is limiting. A more advanced approach views any asset with a lower expected return as a potential liability. One can effectively "borrow" it (i.e., short it) to finance the purchase of an asset with a higher expected return, aiming to capture the spread.

Citing a lesson from former Goldman Sachs CFO David Viniar, Alan Waxman argues the root cause of financial crises isn't bad credit, but liquidity crunches from mismatched assets and liabilities (e.g., funding long-term assets with short-term debt). This pattern repeats as investors collectively forget the lesson over time.

The goal of classifying the market into regimes like "slowdown" or "risk-on" is not to predict exact outcomes. Instead, it's a risk management tool to determine when it's appropriate to apply significant leverage (only during clear tailwinds) versus staying defensive in uncertain conditions.