Asia-Pacific stock market return and volatility in the uncertain world: Evidence from the nonlinear autoregressive distributed lag approach

被引:6
作者
Tran, Minh Phuoc-Bao [1 ]
Vo, Duc Hong [1 ]
机构
[1] Ho Chi Minh City Open Univ, Res Ctr Business Econ & Resources, Ho Chi Minh City, Vietnam
关键词
GEOPOLITICAL RISK; TIME-SERIES; POLICY; PRICES; DYNAMICS; IMPACT; OIL;
D O I
10.1371/journal.pone.0285279
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper examines the effects of three distinct groups of uncertainties on market return and volatility in the Asia-Pacific countries, including (i) the country-specific and US geopolitical risks; (ii) the US economic policy uncertainty; and (iii) the US stock market volatility (using the VIX and SKEW indices). Our sample includes 11 Asia-Pacific countries for the 1985-2022 period. We employ the nonlinear autoregressive distributed lag approach (ARDL) estimation technique to capture the asymmetric effects of uncertainties on market return and volatility, which are documented in the literature. Some findings are documented as follows. First, we find that US uncertainty indices, including US geopolitical risk, US economic policy uncertainty, and US VIX, significantly impact Asia-Pacific stock markets, while the impacts of domestic geopolitical risk and the US skewness index (SKEW) are relatively weak. Second, Asia-Pacific stock markets tend to overreact to uncertainty shocks stemming from US economic policy uncertainty and US geopolitical risk. Third, US economic policy uncertainty has more significant effects than the US geopolitical risk. Finally, our research documents that Asia-Pacific stock markets react heterogeneously to good and bad news from US VIX. Specifically, an increase in US VIX (bad news) has a stronger impact than a decrease in US VIX (good news). Policy implications have emerged based on the findings of this study.
引用
收藏
页数:17
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共 44 条
[11]   Modelling the economic role of hydropower: Evidence from bootstrap autoregressive distributed lag approach [J].
Bello, Mufutau Opeyemi ;
Solarin, Sakiru Adebola ;
Yen, Yuen Yee .
RENEWABLE ENERGY, 2021, 168 :76-84
[12]   COMPARATIVE ANALYSIS OF ASYMMETRIC EFFECTS OF MACROECONOMIC INDICATORS ON STOCK INDEXES IN PAKISTAN, INDIA, AND CHINA: A NONLINEAR AUTOREGRESSIVE DISTRIBUTED LAG (NARDL) APPROACH [J].
Ghauri, Saghir Pervaiz ;
Ahmed, Rizwan Raheem ;
Rampal, Rohit ;
Streimikiene, Dalia ;
Qadir, Hina ;
Aqil, Muhammad ;
Streimikis, Justas .
ROMANIAN JOURNAL OF ECONOMIC FORECASTING, 2025, 28 (01) :122-145
[13]   Asymmetric effect of extreme changes in the exchange rate volatility on the US imports Evidence from multiple threshold nonlinear autoregressive distributed lag model [J].
Chang, Bisharat Hussain ;
Rajput, Suresh Kumar Oad ;
Bhutto, Niaz Ahmed ;
Abro, Zahida .
STUDIES IN ECONOMICS AND FINANCE, 2020, 37 (02) :293-309
[14]   The asymmetric effect of bitcoin on altcoins: evidence from the nonlinear autoregressive distributed lag (NARDL) model [J].
Demir, Ender ;
Simonyan, Serdar ;
Garcia-Gomez, Conrado-Diego ;
Lau, Chi Keung Marco .
FINANCE RESEARCH LETTERS, 2021, 40
[15]   The Relationship Between the Health Transformation Program and Health Expenditures: Evidence From an Autoregressive Distributed Lag Testing Approach [J].
Ilgun, Gulnur ;
Konca, Murat ;
Sonmez, Seda .
VALUE IN HEALTH REGIONAL ISSUES, 2023, 38 :101-108
[16]   Stock market volatility and business cycle: Evidence from linear and nonlinear causality tests [J].
Choudhry, Taufiq ;
Papadimitriou, Fotios I. ;
Shabi, Sarosh .
JOURNAL OF BANKING & FINANCE, 2016, 66 :89-101
[17]   Land availability and housing price in China: Empirical evidence from nonlinear autoregressive distributed lag (NARDL) [J].
Yii, Kwang-Jing ;
Tan, Chai-Thing ;
Ho, Wing-Ken ;
Kwan, Xiao-Hui ;
Nerissa, Feng-Ting Shim ;
Tan, Yan-Yi ;
Wong, Kar-Horn .
LAND USE POLICY, 2022, 113
[18]   Air transportation and inclusive growth in Tunisia: Evidence from Autoregressive Distributed Lag and wavelet coherence approach [J].
Ouni, Manel ;
Mraihi, Rafaa .
JOURNAL OF AIR TRANSPORT MANAGEMENT, 2025, 128
[19]   Geopolitical risks, investor sentiment and industry stock market volatility in China: Evidence from a quantile regression approach [J].
Guo, Peng ;
Shi, Jing .
NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2024, 72
[20]   The Co-Movement of Credit Default Swap Spreads, Equity Returns and Volatility: Evidence from Asia-Pacific Markets [J].
Da Fonseca, Jose ;
Gottschalk, Katrin .
INTERNATIONAL REVIEW OF FINANCE, 2020, 20 (03) :551-579