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The statistical analysis of financial time series is a rich and diversified research field whose inherent complexity requires an interdisciplinary approach, gathering together several disciplines, such as statistics, economics, and computational sciences. This special issue of the Journal of...
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integration and co-integration technique. Particularly, fractional integration is applied to examine stochastic properties of … individual assets and fractional cointegration to analyse bivariate connectedness. Our findings unveil the absence of mean … instead of prices. Like, conditional volatility-based estimation uncovers evidence of mean reversion in univariate analysis as …
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Countries with more developed financial markets (as measured by the private debt-to-GDP ratio) tend to have significantly lower aggregate volatility. This relationship is also highly non-linear starting from a low level of financial development the reduction in aggregate volatility by financial...
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foreign exchange markets to see whether there is fractional cointegration between the markets in one trading zone or for one …. Applying a purely semiparametric approach through the whole analysis shows fractional cointegration can only be found for a …
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In this paper, we study the dynamic interdependencies between high-frequency volatility, liquidity demand as well as trading costs in an electronic limit order book market. Using data from the Australian Stock Exchange we model 1-min squared mid-quote returns, average trade sizes, number of...
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