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Published in 2019 at "Lithuanian Mathematical Journal"
DOI: 10.1007/s10986-019-09444-x
Abstract: Let ξ1, . . . , ξn be dependent real-valued random variables with dominatedly varying distribution functions. We investigate the asymptotic behavior of the tail-moment E\( \left({\left({S}_n^{\xi}\right)}^m{1}_{\left\{{S}_n^{\upxi}>x\right\}}\right) \), where m is a nonnegative integer, and…
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Keywords:
order moments;
dominatedly varying;
higher order;
tails higher ... See more keywords
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Published in 2021 at "Energy Policy"
DOI: 10.1016/j.enpol.2021.112428
Abstract: Abstract The Phase III of the European Union Emission Trading System (EU ETS) is significantly different from the previous Phases in terms of price trajectory and operational mechanism. Against this background, this study reveals the…
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Keywords:
order;
order moments;
energy markets;
carbon energy ... See more keywords
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Published in 2022 at "Heliyon"
DOI: 10.1016/j.heliyon.2022.e08833
Abstract: Here, we analyse the behaviour of the higher order standardised moments of financial time series when we truncate a large data set into smaller and smaller subsets, referred to below as time windows. We look…
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Keywords:
risk;
time windows;
order;
order moments ... See more keywords
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Published in 2020 at "Journal of Behavioral and Experimental Finance"
DOI: 10.1016/j.jbef.2020.100413
Abstract: Abstract The volume-realized volatility relationship has been extensively documented in the extant financial literature. However, minimal attention has been accorded to volume-realized skewness and volume-realized kurtosis relationships. Our insight in this paper is that these…
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Keywords:
volume;
trading;
higher order;
volume realized ... See more keywords
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Published in 2018 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.02.159
Abstract: Abstract In this paper, an extended method of traditional Akaike Information Criteria(AIC) is proposed to detect the volatility of time series by combining it with higher order moments, such as skewness and kurtosis. Since measures…
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Keywords:
order;
time series;
financial market;
order moments ... See more keywords
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Published in 2019 at "Statistics"
DOI: 10.1080/02331888.2019.1566907
Abstract: ABSTRACT The traditional estimation of higher order co-moments of non-normal random variables by the sample analog of the expectation faces a curse of dimensionality, as the number of parameters increases steeply when the dimension increases.…
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Keywords:
factor;
order moments;
factor model;
higher order ... See more keywords
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Published in 2018 at "Chinese Physics B"
DOI: 10.1088/1674-1056/27/12/123401
Abstract: We present the joint probability density function (PDF) between the bucket signals and reference signals in thermal light ghost imaging, by regarding these signals as stochastic variables. The joint PDF allows us to examine the…
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Keywords:
ghost images;
ghost;
fractional order;
order moments ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3057381
Abstract: Direction of arrival (DOA) estimation with co-prime array is a hot issue in array signal processing. By using co-prime array structure, the degrees of freedom has been greatly improved, which can estimate much more sources…
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Keywords:
prime array;
array;
order;
order moments ... See more keywords
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Published in 2019 at "Australian Journal of Management"
DOI: 10.1177/0312896219879974
Abstract: Using daily S&P 500 spot index and index futures data, this article examines the effects of conditional skewness and kurtosis parameters of a skew-Student density function on dynamic minimum-variance hedging strategies. We find an important…
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Keywords:
index futures;
order moments;
variance;
higher order ... See more keywords
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Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0277924
Abstract: Interactions between stock and cryptocurrency markets have experienced shifts and changes in their dynamics. In this paper, we study the connection between S&P500 and Bitcoin in higher-order moments, specifically up to the fourth conditional moment,…
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Keywords:
order moments;
time frequency;
bitcoin p500;
bitcoin ... See more keywords