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- W1569457478 abstract "Modern financial theory's foundation is, in great part, built on the premises of probability theory and, to be more precise, the normal or Gaussian probability density function. The normal distribution is thoroughly explained so that a reader with little mathematical background can readily see the impact on markets and how traders use the implications of probability on trading as a method of risk assessment. After a fairly thorough grounding on the basics of the normal distribution, the authors go into greater detail on variants such as skewness and kurtosis of the distribution, that empirical evidence of market data indicate as pockets of deviation from normality. These deviations offer areas of opportunity to the astute trader. Further, the foundation of modern financial theory, the capital asset pricing model is discussed as well as the Black Scholes model—the method by which options are valued by the Chicago Board of Options Exchange. This important chapter provides the background for the reader to fully appreciate the information in the 1.8 standard deviation solution in Chapter 9." @default.
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- W1569457478 date "2013-08-24" @default.
- W1569457478 modified "2023-09-23" @default.
- W1569457478 title "Normal Distribution, Probability, and Modern Financial Theory" @default.
- W1569457478 doi "https://doi.org/10.1002/9781118755761.ch8" @default.
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