From systematic to systemic risk among G7 members: Do the stock or real estate markets matter?

系统性风险 格兰杰因果关系 库存(枪支) 股票市场 社会联系 系统性风险 房地产 因果关系(物理学) 市场流动性 金融市场 金融经济学 货币经济学 计量经济学 经济 财务 金融危机 心理治疗师 宏观经济学 古生物学 工程类 物理 生物 机械工程 量子力学 心理学
作者
Shu‐hen Chiang,Chien-Fu Chen
出处
期刊:Journal of International Financial Markets, Institutions and Money [Elsevier BV]
卷期号:79: 101594-101594 被引量:10
标识
DOI:10.1016/j.intfin.2022.101594
摘要

• The time-varying connectedness is used to measure stock and housing market systematic risks. • The time-varying Granger-causality is employed to monitor the causal relationships between stock and housing market systematic risks over time. • Using quarterly G7 data over a long period covering 1970–2021, the empirical results indicate that these systematic risks both are very volatile. • The dominant source of causality in the housing systematic risk implies that policies directed against the possibility of a housing bubble. Stock and housing market systematic risk may be a critical ingredient in the precipitation of systemic risk and hence a financial crisis. However, surprisingly few studies have so far explored the role of their contagion in triggering systemic risk. In this paper, time-varying connectedness is used to measure two-market systematic risks and time-varying Granger-causality is employed to monitor their causal interactions over time. Using quarterly G7 data over a long period covering 1970–2021, our results indicate that these systematic risks both are very volatile. Moreover, the dominant source of causality in the housing systematic risk implies that policies directed against the possibility of a housing bubble, for example, macroprudential toolkits, deserve special emphasis. Finally, given that the duration of the bilateral causality coincides with those in past crises, a dynamic probit model reveals that adopting an expansionary monetary policy with a huge reduction in interest rates may greatly increase the likelihood of a financial crisis.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
可一可再完成签到 ,获得积分10
1秒前
威威给威威的求助进行了留言
2秒前
李健应助SAL采纳,获得10
2秒前
xiaolizi发布了新的文献求助150
3秒前
4秒前
周小周发布了新的文献求助10
4秒前
DOCLIANG发布了新的文献求助10
5秒前
5秒前
XuanLi发布了新的文献求助10
7秒前
邓佩雨完成签到,获得积分10
9秒前
散装洋芋发布了新的文献求助10
9秒前
撒西不理完成签到,获得积分10
9秒前
jsir发布了新的文献求助10
10秒前
12秒前
12秒前
科研通AI2S应助外科老白采纳,获得10
13秒前
学海无涯苦作舟完成签到,获得积分10
14秒前
LL关闭了LL文献求助
14秒前
奔跑应助大虫子采纳,获得10
16秒前
19秒前
小宁发布了新的文献求助10
19秒前
善良茗茗发布了新的文献求助10
19秒前
mouse完成签到,获得积分10
20秒前
20秒前
CipherSage应助星星采纳,获得10
22秒前
23秒前
自由凌丝发布了新的文献求助10
24秒前
FIGMA发布了新的文献求助10
24秒前
尊嘟假嘟应助科研通管家采纳,获得10
25秒前
Akim应助科研通管家采纳,获得10
25秒前
Ashore应助科研通管家采纳,获得20
25秒前
huchen应助科研通管家采纳,获得10
25秒前
Rita应助科研通管家采纳,获得10
25秒前
科研狗应助科研通管家采纳,获得20
26秒前
充电宝应助科研通管家采纳,获得50
26秒前
星辰大海应助科研通管家采纳,获得10
26秒前
打打应助科研通管家采纳,获得30
26秒前
传奇3应助科研通管家采纳,获得10
26秒前
Nole应助科研通管家采纳,获得10
26秒前
27秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Bend stiffness of submarine cables – an experimental and numerical investigation 5000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7541217
求助须知:如何正确求助?哪些是违规求助? 9125272
关于积分的说明 19495745
捐赠科研通 7137552
什么是DOI,文献DOI怎么找? 3258205
关于科研通互助平台的介绍 2425555
邀请新用户注册赠送积分活动 2246318