Modelling systemic price cojumps with Hawkes factor models

被引:54
|
作者
Bormetti, Giacomo [1 ,2 ]
Calcagnile, Lucio Maria [1 ,2 ]
Treccani, Michele [2 ,3 ]
Corsi, Fulvio [1 ]
Marmi, Stefano [1 ,2 ,4 ]
Lillo, Fabrizio [1 ,2 ,5 ,6 ]
机构
[1] Scuola Normale Super Pisa, I-56126 Pisa, Italy
[2] QUANTLab, I-56122 Pisa, Italy
[3] LIST SpA, I-56122 Pisa, Italy
[4] CNRS, UMI 3483, Lab Fibonacci, I-56126 Pisa, Italy
[5] Univ Palermo, Dipartimento Chim & Fis, I-90128 Palermo, Italy
[6] Santa Fe Inst, Santa Fe, NM 87501 USA
关键词
C32; C5; G01; G10; C51; Systemic shocks; Hawkes processes; Cojumps; High frequency data; CONTINUOUS-TIME; HIGH-FREQUENCY; STOCK-PRICES; JUMPS; VOLATILITY; RISK; SIMULATION; DIFFUSION; POISSON; TAILS;
D O I
10.1080/14697688.2014.996586
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Instabilities in the price dynamics of a large number of financial assets are a clear sign of systemic events. By investigating portfolios of highly liquid stocks, we find that there are a large number of high-frequency cojumps. We show that the dynamics of these jumps is described neither by a multivariate Poisson nor by a multivariate Hawkes model. We introduce a Hawkes one-factor model which is able to capture simultaneously the time clustering of jumps and the high synchronization of jumps across assets.
引用
收藏
页码:1137 / 1156
页数:20
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