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Leptokurtic or platykurtic distributions can, for example, be generated by applying certain non-linear transformations to a Gaussian random variable. Within this work we focus on the class of so-called power transformations which are determined by their generator function. Examples are the...
Persistent link: https://www.econbiz.de/10010299776
Leptokurtic or platykurtic distributions can, for example, be generated by applying certain non-linear transformations to a Gaussian random variable. Within this work we focus on the class of so-called power transformations which are determined by their generator function. Examples are the...
Persistent link: https://www.econbiz.de/10010299826
Leptokurtic or platykurtic distributions can, for example, be generated by applying certain non-linear transformations to a Gaussian random variable. Within this work we focus on the class of so-called power transformations which are determined by their generator function. Examples are the...
Persistent link: https://www.econbiz.de/10008493524
can be easily verified and the power can be interpreted as parameter of leptokurtosis. …
Persistent link: https://www.econbiz.de/10010299807
can be easily verified and the power can be interpreted as parameter of leptokurtosis. …
Persistent link: https://www.econbiz.de/10008543750
Persistent link: https://www.econbiz.de/10005598085
GARCH model under various non-normal error distributions in order to evaluate skewness and leptokurtosis. The empirical … estimated under normality, in terms of: (i) capturing skewness and leptokurtosis; (ii) the maximized log-likelihood values; and …
Persistent link: https://www.econbiz.de/10010748637
, asymmetric behavior and leptokurtosis. Efforts have been made worldwide to model the behaviour of the electricity's market price …
Persistent link: https://www.econbiz.de/10010750566
We introduce a new skewed and leptokurtic distribution derived from the hyperbolic secant distribution and Johnson's S transformation. Properties of this new distribution are given. Finally, we empirically demonstrate in the context of financial return data that its exibility is comparable to...
Persistent link: https://www.econbiz.de/10010954442
Many financial time-series show leptokurtic behavior, i.e., fat tails. Such tail behavior is important for risk management. In this paper I focus on the calculation of Value-at-Risk (VaR) as a downside-risk measure for optimal asset portfolios. Using a framework centered around the Student t...
Persistent link: https://www.econbiz.de/10010783454