The Esscher transform is a mathematical transformation used in the field of probability theory, particularly in the context of risk theory and actuarial science. It is named after the Swedish mathematician Karl Esscher. The transform is useful for adjusting probability distributions to account for different risk preferences, particularly in the setting of insurance and finance. The Esscher transform modifies the probability measure of a random variable in a way that shifts the expectation of the distribution.
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