Behavioral Finance and Mean Reversion

Investors overreact to unexpected, dramatic news. This overreaction creates predictable price reversals. DeBondt and Thaler (1985) first documented this phenomenon. They showed past losers outperform

Anchoring bias describes the human tendency to rely too heavily on the first information presented. This initial information, the "anchor," shapes subsequent judgments. In financial markets, past pric

Herding behavior describes investors copying actions of a larger group. This collective action often disregards individual analysis. It drives asset prices beyond their fundamental value. This creates

Loss aversion describes the human tendency to prefer avoiding losses over acquiring equivalent gains. A loss feels psychologically more impactful than an equivalent gain. Daniel Kahneman and Amos Tver

The disposition effect describes a common behavioral bias. Investors hold losing investments too long. They sell winning investments too quickly. This irrational behavior impacts mean reversion strate

Extreme market sentiment often precedes price reversals. Mean reversion strategies exploit these conditions. Behavioral biases create these extremes. Fear and greed push prices beyond fundamental valu

The CBOE Volatility Index (VIX) measures the stock market's expectation of future volatility. It uses options prices on the S\&P 500 Index (SPX). Specifically, it calculates implied volatility for man

The Put/Call Ratio (PCR) measures trading sentiment. It compares put option volume to call option volume. A put option gives the holder the right to sell an asset at a specific price. A call option gi

Investor flows significantly impact asset prices. Large inflows or outflows distort valuations. These distortions create mean reversion opportunities. Smart money often takes the opposite side of reta

Mean reversion strategies profit from price deviations from an average. Behavioral finance explains the origin of these deviations. Cognitive biases, systematic errors in thinking, drive market ineffi