A Statistical methodology for assessing the maximal strength of tail dependence
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| 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 | ||
| 245 | 1 | 2 | $aA Statistical methodology for assessing the maximal strength of tail dependence$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 | |
| 700 | 1 | $0MAPA20140002559$aYang, Chen | |
| 700 | 1 | $0MAPA20170012085$aZitikis, Ricardas | |
| 773 | 0 | $wMAP20077000420$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 |