A note on the estimated GARCH coefficients from the S&P1500 universe

被引：6

作者：

Bampinas, Georgios ^{[1
]}

Ladopoulos, Konstantinos ^{[2
]}

Panagiotidis, Theodore ^{[1
]}

机构：

[1] Univ Macedonia, Dept Econ, Thessaloniki, Greece

[2] Citrix Syst Res & Dev Ltd, Cambridge, England

来源：

APPLIED ECONOMICS | 2018年 / 50卷 / 34-35期

关键词：

GARCH; GJR-GARCH; EGARCH; alternative distributions; volatility; time-series; CONDITIONAL HETEROSKEDASTICITY; VOLATILITY; RETURNS; MODEL;

D O I：

10.1080/00036846.2018.1436155

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

We employ 1440 stocks listed in the S&P Composite 1500 Index of the NYSE. Three benchmark GARCH models are estimated for the returns of each individual stock under three alternative distributions (Normal, t and GED). We provide summary statistics for all the GARCH coefficients derived from 11,520 regressions. The EGARCH model with GED errors emerges as the preferred choice for the individual stocks in the S&P 1500 universe when non-negativity and stationarity constraints in the conditional variance are imposed. 57% of the constraint's violations are taking place in the S&P small cap stocks.

引用

页码：3647 / 3653

页数：7

共 19 条

[1]

Ardia D., 2013, WILMOTT, V66, P40

[2] STOCK RETURNS AND VOLATILITY [J].