Dividend suspensions and cash flows during the Covid-19 pandemic: A dynamic econometric model✩

被引:1
|
作者
Pettenuzzo, Davide [1 ]
Sabbatucci, Riccardo [2 ,3 ]
Timmermann, Allan [4 ]
机构
[1] Brandeis Univ, Int Business Sch, 415 South St, MS 032, Waltham, MA 02453 USA
[2] Stockholm Sch Econ, Dept Finance, Sveavagen 65, S-11383 Stockholm, Sweden
[3] Swedish House Finance SHoF, Sveavagen 65, S-11383 Stockholm, Sweden
[4] UC San Diego UCSD, Rady Sch Management, 9500 Gilman Dr, La Jolla, CA 92093 USA
关键词
Covid-19; High-frequency cash flows; Dividend suspensions; Predictive density modeling; Bayesian estimation; STOCHASTIC VOLATILITY;
D O I
10.1016/j.jeconom.2022.11.008
中图分类号
F [经济];
学科分类号
02 ;
摘要
Firms suspended dividend payments in unprecedented numbers in response to the outbreak of the Covid-19 pandemic. We develop a multivariate dynamic econometric model that allows dividend suspensions to affect the conditional mean, volatility, and jump probability of growth in daily industry-level dividends and demonstrate how the parameters of this model can be estimated using Bayesian Gibbs sampling methods. We find considerable heterogeneity across industries in the dynamics of daily dividend growth and the impact of dividend suspensions. & COPY; 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:1522 / 1541
页数:20
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