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The long tail was popularized by Chris Anderson in an October 2004 Wired magazine article, in which he mentioned Amazon.com, Apple and Yahoo! as examples of businesses applying this strategy. [7] [9] Anderson elaborated the concept in his book The Long Tail: Why the Future of Business Is Selling Less of More.
The Long Tail: Why the Future of Business Is Selling Less of More is a book by Chris Anderson, editor in chief of Wired magazine. [1] The book was initially published on July 11, 2006, by Hyperion . The book, Anderson's first, is an expansion of his 2004 article "The Long Tail" in the magazine.
His 2004 article "The Long Tail" in Wired was expanded into a book in 2006, titled, The Long Tail: Why the Future of Business Is Selling Less of More. [3] [6] It appeared on The New York Times Nonfiction Best Sellers list. The book argues that products in low demand or that have a low sales volume can collectively build a better market share ...
Long-tail distribution, a probability distribution that assigns relatively high probabilities to regions far from the mean or median; The Long Tail, a popular book about the effect of Long Tail on the web media; Power law's long tail, a statistics term describing certain kinds of distribution
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Tail risk, sometimes called "fat tail risk", is the financial risk of an asset or portfolio of assets moving more than three standard deviations from its current price, above the risk of a normal distribution. Tail risks include low-probability events arising at both ends of a normal distribution curve, also known as tail events. [1]
Financial models with long-tailed distributions and volatility clustering have been introduced to overcome problems with the realism of classical financial models. These classical models of financial time series typically assume homoskedasticity and normality and as such cannot explain stylized phenomena such as skewness, heavy tails, and volatility clustering of the empirical asset returns in ...
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