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This book concerns the use of concepts from statistical physics in the description of financial systems. These concepts are applied to financial time series to gain an understanding of the behavior of financial markets. The book will be of interest to physicists and economists and professionals...
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In this paper we want to discuss macroscopic and microscopic properties of financial markets. By analyzing quantitatively a database consisting of 13 minute per minute recorded financial time series, we identify some macroscopic statistical properties of the corresponding markets, with a special...
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Financial Reynolds number (Re) has been proven to have the capacity to predict volatility, herd behaviour and nascent … embedded volatility, herd behaviour and nascent bubble. Overall the volatility distribution has been found to be Gaussian in … nature, as far as volatility, herd behaviour and nascent bubble are concerned. …
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global risk are volatility, credit, and liquidity risks. Country and contagion risks are also studied individually. A …
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change was observed both in the correlation and volatility levels for specific market segments, as well as in the market … estimated correlation levels during the post-crisis period. Such findings are consistent with the hypothesis that intermarket …
Persistent link: https://www.econbiz.de/10011874650
250-day time window were investigated by measuring realized stock returns and realized volatility. We examined the normal … distribution and frequency distribution for both daily stock returns and volatility. We also determined the beta-coefficient and … correlation among the stocks for 15 years and found that, during the crisis period, the beta-coefficient between the market index …
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