Stochastic volatility models are mathematical frameworks used in finance to capture the dynamic behavior of volatility, which is treated as a random process rather than a constant. These models allow for the modeling of the changing nature of volatility over time, reflecting how market conditions can cause volatility to fluctuate unpredictably. They provide a more realistic approach to option pricing and risk management compared to static models.
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