What are Mean Reversion Models? How is this different from Mean Reversion Jumps Models?

Mean reversion models are mathematical models used in finance to describe the behavior of a time series that tends to move towards its long-term average or mean over time. These models are based on the concept that extreme values or deviations from the mean are likely to be followed by a correction towards the mean. Mean reversion models are widely used in various financial applications, including asset pricing, trading strategies, and risk management.

In a typical mean reversion model, the time series is assumed to follow a stochastic process where the current value is influenced by both a drift component and a random shock. The drift component represents the tendency of the series to move towards its mean, ____ ______ ____ _________ __________.
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