Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Emma M. Iglesias"'
Autor:
Antonio F. Erias, Emma M. Iglesias
Publikováno v:
Energy Strategy Reviews, Vol 44, Iss , Pp 100945- (2022)
We analyse a panel of 25 European-countries to provide novel estimates of monthly own-price, cross-price, and income elasticities of natural-gas-demand from 2005 to 2020. We find that: first, there is an European Standard Behaviour (ESB) with a stron
Externí odkaz:
https://doaj.org/article/548162c9e2d34be6884170bfb2a025eb
Autor:
Andre Yone Haughton, Emma M. Iglesias
Publikováno v:
International Journal of Economics and Financial Issues, Vol 7, Iss 2, Pp 437-447 (2017)
We analyse the interrelationship between stock prices and exchange rates in the only two Caribbean countries with stock market and floating exchange rates: Jamaica and Trinidad and Tobago. We also study the same four Latin American countries as in Di
Externí odkaz:
https://doaj.org/article/41f4982ef8744e409f416f51828f1e0a
Autor:
Christian M. Dahl, Emma M. Iglesias
Publikováno v:
Dahl, C M & Iglesias, E 2022, ' The tail behavior due to the presence of the risk premium in AR-GARCH-in-Mean, GARCH-AR, and Double-Autoregressive-in-Mean Models ', Journal of Financial Econometrics, vol. 20, no. 1, pp. 139-159 . https://doi.org/10.1093/jjfinec/nbaa004
We extend the results in Borkovec (2000), Basrak, David, and Mikosch (2002a), Lange (2011), and Francq and Zakoïan (2015) by describing the tail behavior when a risk premium component is added in the mean equation of different conditional heterosked
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a7ee8d9e69a9ae24488da1b7bcc8c6c
https://portal.findresearcher.sdu.dk/da/publications/acf2ae1e-69b5-4f8a-99b0-4ef0bf66fb1f
https://portal.findresearcher.sdu.dk/da/publications/acf2ae1e-69b5-4f8a-99b0-4ef0bf66fb1f
Autor:
Emma M. Iglesias, Garry D.A. Phillips
Publikováno v:
Journal of Time Series Analysis. 41:357-364
Constant elasticity volatility processes have been shown to be useful, for example, to encompass a number of existing models that have closed‐form likelihood functions. In this article, we extend the existing literature in two directions: first we
Autor:
Emma M. Iglesias, Christian M. Dahl
Publikováno v:
Dahl, C M & Iglesias, E M 2021, ' Asymptotic normality of the MLE in the level-effect ARCH model ', Statistical Papers, vol. 62, no. 1, pp. 117-135 . https://doi.org/10.1007/s00362-019-01086-y
We establish consistency and asymptotic normality of the maximum likelihood estimator in the level-effect ARCH model of Chan et al. (J Financ 47(3):1209–1227, 1992). Furthermore, it is shown by simulations that the asymptotic properties also apply
Autor:
Emma M. Iglesias, David Rivera-Alonso
Publikováno v:
Journal of Petroleum Science and Engineering. 211:110182
Publikováno v:
Applied Economics. 50:2056-2069
What type of crisis is generated when debt increases? We extend the literature by framework by introducing currency and stock market crises in the analysis. We apply our proposal to the case of Spa...
Autor:
Emma M. Iglesias, Garry D.A. Phillips
Publikováno v:
Monte Carlo Methods and Applications. 23:159-164
In this paper we extend the results in [5] in two directions: First, we show that by bias correcting the estimated mean reversion parameter we can also have better finite sample properties of the testing procedure using a t-statistic in the near unit
Autor:
Emma M. Iglesias
Publikováno v:
Journal of Policy Modeling. 37:1-13
We analyze extreme movements of the main stocks market indexes in the European Union. We find that the Sweden and UK markets are the preferred ones for risk averse investors since they present the best risk-return performance. Moreover, the UK market
Autor:
Emma M. Iglesias
Publikováno v:
Communications in Statistics - Theory and Methods. 42:2584-2600
This article proves that the block-block bootstrap of Andrews (2004) can be helpful to provide asymptotic refinements for the GMM estimator when autocorrelation structures of moment functions are unknown (i.e., incorporating the HAC covariance matrix