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黄金科学技术 ›› 2022, Vol. 30 ›› Issue (6): 891-900.doi: 10.11872/j.issn.1005-2518.2022.06.127

• 采选技术与矿山管理 • 上一篇    

经济政策不确定性、投资者情绪与黄金价格波动

郑明贵1,2(),彭群婷1(),陶思敏1,刘丽珍1   

  1. 1.江西理工大学矿业发展研究中心,江西 赣州 341000
    2.中国科学技术大学管理学院,安徽 合肥 230026
  • 收稿日期:2022-09-25 修回日期:2022-11-07 出版日期:2022-12-31 发布日期:2023-01-06
  • 通讯作者: 彭群婷 E-mail:mgz268@sina.com;858204619@qq.com
  • 作者简介:郑明贵(1978-),男,安徽颍上人,教授,博士生导师,从事资源经济与管理方面的研究工作。mgz268@sina.com
  • 基金资助:
    国家社会科学基金项目“中国战略性矿产资源产业链供应链安全稳定战略研究(2025—2060)”(22XGL003);国家社会科学基金重点项目“中国战略性矿产资源国家安全评估与预警系统研究(2020—2050)”(18AGL002);江西省高校人文社会科学重点研究基地江西理工大学矿业发展研究中心2022年度重大招标课题“突发环境下战略性矿产资源产业战略管理理论与方法”(KYZX2022-1);江西理工大学重大项目培育计划“大数据驱动下国家矿产资源安全战略管理现代化研究”(19ZDPY-08)

Economic Policy Uncertainty,Investor Sentiment and Gold Price Volatility

Minggui ZHENG1,2(),Qunting PENG1(),Simin TAO1,Lizhen LIU1   

  1. 1.Mining Development Research Center, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi, China
    2.School of Management, University of Science and Technology of China, Hefei 230026, Anhui, China
  • Received:2022-09-25 Revised:2022-11-07 Online:2022-12-31 Published:2023-01-06
  • Contact: Qunting PENG E-mail:mgz268@sina.com;858204619@qq.com

摘要:

黄金在维持金融稳定和趋避风险中发挥着重要作用。以2011—2021年数据为样本,使用GARCH-MIDAS模型探究经济政策不确定性和投资者情绪对黄金价格波动的影响。研究结果表明:(1)黄金价格波动具有自相关性,长期影响为正;(2)黄金价格在短期内会受到经济政策不确定性和投资者情绪变化的影响,正向冲击能够增大黄金价格的短期波动,就长期来看,黄金价格会受到经济政策不确定性的负向影响,但投资者情绪的长期影响不显著;(3)经济政策高不确定性会引起国内投资者的关注,并反映在黄金价格波动中。研究结果为讨论黄金价格波动提供了新视角,也为实现风险控制或金融稳定提供了参考。

关键词: 黄金价格波动, 经济政策不确定性, 投资者情绪, GARCH-MIDAS模型, 混频数据

Abstract:

Gold plays an important role in maintaining financial stability and risk aversion.It is not only a haven against uncertainty,but also a key factor affecting investors’sentiment and decision-making behavior. The-refore,it is of great value to investigate the impact of uncertainty risk and investors’risk aversion decision on gold price. At present,there is no consensus on the impact of economic policy uncertainty on gold price. Few scholars incorporate economic policy uncertainty and investor sentiment into the research framework at the same time,and few literatures study high uncertainty separately.In order to better explore the above issues,based on risk aversion and expectation theory,economic policy uncertainty and investor sentiment were incorporated into a unified analysis framework.With data from 2011 to 2021 as samples,GARCH-MIDAS model was used to explore the impact of economic policy uncertainty and investor sentiment on gold price volatility. Furthermore,the influence changes under the environment of high economic policy uncertainty were investigated.The results show that:Firstly,gold price fluctuation has autocorrelation,and the long-term impact is positive.Secondly,in the short term,gold prices are affected by economic policy uncertainty and investor sentiment changes,positive shocks can increase the short-term volatility of gold prices,in the long term,gold prices will be negatively affected by economic policy uncertainty,but the long-term impact of investor sentiment is not significant.Finally,high economic policy uncertainty will be more noticeable to domestic investors and reflected in gold price volatility.These contents not only provide a new perspective for the discussion of gold price volatility,but also provide a reference for the realization of risk control or financial stability.

Key words: gold price volatility, economic policy uncertainty, investor sentiment, GARCH-MIDAS model, mixed frequency data

中图分类号: 

  • F830

图1

2011—2021年我国黄金Au99.99价格折线图"

图2

2011—2021年我国黄金Au99.99价格波动折线图"

表1

变量的描述性统计"

变量样本量/个平均值标准差最小值最大值偏度峰度Jarque-BeraADF
r2 6750.02702.8453-33.190017.3900-1.234718.765828 383.9335***平稳
dCEPU1321.653380.5617-273.1702283.97100.25495.408833.3434***平稳
dCICSI1320.03704.4873-11.470026.11001.436511.2294417.8787***平稳

表2

GARCH-MIDAS模型估计结果"

参数参数值

模型(1)

RV

模型(2)

RV+ dCEPU

模型(3)

RV+ dCICSI

模型(4)

RV+ dCEPU+ dCICSI

μ0.03240.05470.03540.0127
α0.1200***0.1303***0.1096***0.1123***
β0.8202***0.8664***0.8932***0.8298***
γ-0.0927***-0.0771***-0.0142
m0.9785***1.0175***0.7053***1.0980***
θ10.0056***0.0054***0.0054***0.0047***
ω125.6940***6.0913***4.2444***1.8970***
θ2-0.0543**1.0934-0.0154**
ω221.2267***1.0000**1.6951***
θ30.1181
ω323.3012**

表3

分样本的GARCH-MIDAS模型估计及稳健性检验结果"

参数参数值

模型(5)

RV+ dCEPU

模型(6)

RV+dCICSI

模型(7)

RV+dGEPU

μ0.1121*0.1000*0.0473
α0.1942***0.1545***0.1268***
β0.8168***0.8435***0.8795***
γ-0.1348**-0.1096***-0.0916***
m1.1908***0.9516***0.9027***
θ10.0050***0.0048***0.0055***
ω121.8622***1.0000*4.5356***
θ2-0.0245***0.5084***-0.0108*
ω221.5658***1.8491***13.9273***
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