Stock Price Analysis Under Extreme Value Theory

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price theory

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Data Analysis in Extreme Value Theory

Extreme value theory has emerged as one of the most important statistical disciplines for the applied sciences. Extreme value techniques are also becoming widely used in many other disciplines. For example, for portfolio adjustment in the insurance industry; for risk assessment on financial markets; and for traffic prediction in telecommunications. Here we do some basic data analysis in extreme...

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Article history: Received 17 August 2014 Received in revised form 16 February 2015 Accepted 30 March 2015 Available online 17 April 2015 This paper examines the asymptotic dependence between the Chinese stock market and the world crude oil market based on the Extreme Value Theory (EVT) and finds a positive extremal dependence. We explain this positive dependence in terms of economic cycles due ...

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Extreme Value Theory is the branch of statistics that is used to model extreme events. The topic is of interest to meteorologists because much of the recent literature on climate change has focussed on the possibility that extreme events (very high or low temperatures, high precipitation events, droughts, hurricanes etc.) may be changing in parallel with global warming. As a specific example, t...

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Universal Behavior of Extreme Price Movements in Stock Markets

Many studies assume stock prices follow a random process known as geometric Brownian motion. Although approximately correct, this model fails to explain the frequent occurrence of extreme price movements, such as stock market crashes. Using a large collection of data from three different stock markets, we present evidence that a modification to the random model--adding a slow, but significant, ...

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ژورنال

عنوان ژورنال: SSRN Electronic Journal

سال: 2016

ISSN: 1556-5068

DOI: 10.2139/ssrn.2714626