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A Statistical methodology for assessing the maximal strength of tail dependence

Recurso electrónico / Electronic resource
Registro MARC
Tag12Valor
LDR  00000cab a2200000 4500
001  MAP20200029748
003  MAP
005  20200924174628.0
008  200924e20200901bel|||p |0|||b|eng d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎6
100  ‎$0‎MAPA20200019114‎$a‎Sun, Ning
24512‎$a‎A Statistical methodology for assessing the maximal strength of tail dependence‎$c‎Ning Sun,Chen Yang, Ricardas Zitikis
520  ‎$a‎Several diagonal-based tail dependence indices have been suggested in the literature to quantify tail dependence. They have well-developed statistical inference theories but tend to underestimate tail dependence. For those problems when assessing the maximal strength of dependence is important (e.g., co-movements of financial instruments), the maximal tail dependence index was introduced, but it has so far lacked empirical estimators and statistical inference results, thus hindering its practical use. In the present paper, we suggest an empirical estimator for the index, explore its statistical properties, and illustrate its performance on simulated data.
650 4‎$0‎MAPA20080597665‎$a‎Métodos estadísticos
650 4‎$0‎MAPA20080579258‎$a‎Cálculo actuarial
650 4‎$0‎MAPA20080554286‎$a‎Estimación
650 4‎$0‎MAPA20080606688‎$a‎Inferencia estadística
7001 ‎$0‎MAPA20140002559‎$a‎Yang, Chen
7001 ‎$0‎MAPA20170012085‎$a‎Zitikis, Ricardas
7730 ‎$w‎MAP20077000420‎$t‎Astin bulletin‎$d‎Belgium : ASTIN and AFIR Sections of the International Actuarial Association‎$x‎0515-0361‎$g‎01/09/2020 Volumen 50 Número 3 - septiembre 2020 , 799-825