Time and frequency spillovers and drivers between rare earth and energy, metals, green, and agricultural markets

农业 自然资源经济学 经济 稀土 业务 环境科学 地球科学 生态学 生物 地质学
作者
Yang Gao,Xiaoyi Liu
出处
期刊:The North American Journal of Economics and Finance [Elsevier]
卷期号:: 102128-102128
标识
DOI:10.1016/j.najef.2024.102128
摘要

This study investigates the time and frequency return and volatility spillover relationship between rare earth markets and oil, clean energy, gold, base metal, green bond, ESG, and agricultural markets by adopting the spillover indices introduced by Diebold and Yilmaz (2014) and Baruník and Křehlík (2018). As a more comprehensive view of the spillover relationship between rare earth and these industries, this study fills the gap in the existing literature on the relationship between rare earth and energy, metals, or green-related markets. Moreover, we conduct a regression analysis to reveal the drivers of the connectedness network. The empirical results suggest that the rare earth metals (REM) market is a net spillover receiver from the base metal, clean energy, and ESG markets, which are the top three net risk emitters. The network connectedness results shed light on the connections and strengths at different time horizons throughout the sample. The regression results indicate that financial condition and investor sentiment play the most significant roles in driving connectedness and have different effects at different frequencies. Furthermore, severe financial stress may increase short-term risk spillover, which indicates that investors sell out risky assets in stressful times. However, financial stress decreases long-term spillover, which implies that it damages the long-term operation of the financial market. The results could guide investors holding REM assets to balance risk and return and also provide references for policymakers to monitor market conditions and adopt policies to foster the health of the REM market.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
CodeCraft应助yelide采纳,获得10
刚刚
wch666发布了新的文献求助10
1秒前
6秒前
7秒前
动听的友桃完成签到,获得积分10
9秒前
12秒前
yelide发布了新的文献求助10
12秒前
justsayit完成签到 ,获得积分10
12秒前
1751587229发布了新的文献求助10
12秒前
星雪完成签到 ,获得积分10
15秒前
18秒前
xx完成签到,获得积分10
19秒前
Singularity应助科研通管家采纳,获得10
21秒前
完美世界应助科研通管家采纳,获得10
21秒前
我是老大应助科研通管家采纳,获得10
21秒前
SciGPT应助科研通管家采纳,获得10
21秒前
在水一方应助Aprilapple采纳,获得10
30秒前
完美世界应助xufei采纳,获得10
33秒前
36秒前
37秒前
充电宝应助lyy采纳,获得10
37秒前
机灵柚子应助zby采纳,获得20
38秒前
皮皮帅发布了新的文献求助10
39秒前
阿飞完成签到,获得积分10
40秒前
Liao发布了新的文献求助20
42秒前
wang发布了新的文献求助10
42秒前
43秒前
43秒前
45秒前
榴莲小胖完成签到,获得积分10
46秒前
李健应助皮皮帅采纳,获得10
47秒前
renxuda完成签到,获得积分10
50秒前
50秒前
50秒前
迪鸣完成签到,获得积分10
52秒前
Csy发布了新的文献求助10
53秒前
zby发布了新的文献求助10
54秒前
55秒前
活力冬日发布了新的文献求助20
58秒前
58秒前
高分求助中
LNG地下式貯槽指針(JGA Guideline-107)(LNG underground storage tank guidelines) 1000
Generalized Linear Mixed Models 第二版 1000
rhetoric, logic and argumentation: a guide to student writers 1000
Asymptotically optimum binary codes with correction for losses of one or two adjacent bits 800
Preparation and Characterization of Five Amino-Modified Hyper-Crosslinked Polymers and Performance Evaluation for Aged Transformer Oil Reclamation 700
Operative Techniques in Pediatric Orthopaedic Surgery 510
Full waveform acoustic data processing 500
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2926065
求助须知:如何正确求助?哪些是违规求助? 2573684
关于积分的说明 6950600
捐赠科研通 2226412
什么是DOI,文献DOI怎么找? 1183217
版权声明 589129
科研通“疑难数据库(出版商)”最低求助积分说明 579089