Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Sofia Anyfantaki"'
Autor:
Sofia Anyfantaki, Antonis Demos
Publikováno v:
Journal of Probability and Statistics, Vol 2011 (2011)
Time-varying GARCH-M models are commonly used in econometrics and financial economics. Yet the recursive nature of the conditional variance makes exact likelihood analysis of these models computationally infeasible. This paper outlines the issues and
Externí odkaz:
https://doaj.org/article/23bda20df6cb48bca40cacd5c514efc1
Autor:
Filippos Petroulakis, Sofia Anyfantaki
Publikováno v:
Economic bulletin. :7-42
The Greek economy has so far failed to shift its production structure towards more complex, high value-added activities incorporating knowledge-intensive practices. Greece lacks a systemic “activating knowledge” dimension. Given the country’s l
Autor:
Sofia Anyfantaki, Petros Migiakis
Publikováno v:
Economic bulletin. :83-106
Addressing climate change through mitigation and adaptation measures requires changes in policies, technologies and consumption behaviours towards a low emissions model of growth. These structural changes require appropriate financial solutions, in o
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
European Journal of Operational Research. 295:378-393
We investigate whether cryptocurrencies provide diversification benefits to risk averters via a stochastic spanning methodology. We avoid the conceptual and statistical problems of non-stationary returns by providing a modification of the second orde
Publikováno v:
Journal of Business & Economic Statistics. 40:937-949
We find stochastic uniform inefficiency of many widely held (active) portfolios and fund strategies relative to popular benchmarks. Uniformity provides robust findings over general classes of utili...
Publikováno v:
SSRN Electronic Journal.
Autor:
Sofia Anyfantaki, Stelios Arvanitis
Publikováno v:
Journal of Time Series Analysis. 41:341-350
We derive the limit theory of the Gaussian stable quasi maximum likelihood estimator for the stationary EGARCH(1,1) model when the squared innovation process has marginals with regularly varying tails. We derive regularly varying rates and limiting s
Publikováno v:
SSRN Electronic Journal.
We find stochastic uniform inefficiency of many widely held (active) portfolios and fund strategies relative to popular benchmarks. Uniformity provides robust findings over general classes of utility (loss) functions and unknown distribution of retur