Uncertainty in an emerging market economy: evidence from Thailand

被引:13
作者
Apaitan, Tosapol [1 ]
Luangaram, Pongsak [2 ]
Manopimoke, Pym [3 ]
机构
[1] Bank Thailand, Monetary Policy Dept, Bangkok, Thailand
[2] Chulalongkorn Univ, Fac Econ, Bangkok, Thailand
[3] Bank Thailand, Puey Ungphakorn Inst Econ Res, Bangkok, Thailand
关键词
Economic; Financial; Political; Policy; News-based; Uncertainty; Emerging market; Small open economy; Spillovers; POLICY UNCERTAINTY; MACROECONOMIC UNCERTAINTY; MONETARY-POLICY; UNITED-STATES; IMPACT; SHOCKS; RISK; UNEMPLOYMENT; IRREVERSIBILITY; DISAGREEMENT;
D O I
10.1007/s00181-021-02054-y
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper constructs various measures of domestic and global uncertainty and provides a comprehensive study of their impacts on the Thai economy. Based on a small open economy VAR, global uncertainty delivers deeper and more long-lasting effects when compared to within-country ones. In addition, we find that uncertainty shocks first generate sudden and large declines for stock prices and foreign portfolio investment, before gradually affecting the real economy through investment and trade channels. There is also meaningful heterogeneity among different types of domestic uncertainty. While financial uncertainty matters most for the Thai economy overall, consumption demand largely responds to macroeconomic uncertainty, while economic policy and political uncertainty generates the most persistent effects on investment. Furthermore, fiscal policy uncertainty is a key driver of trade flows while monetary policy uncertainty plays an important role for capital markets.
引用
收藏
页码:933 / 989
页数:57
相关论文
共 99 条
[1]   The Measurement and Behavior of Uncertainty: Evidence from the ECB Survey of Professional Forecasters [J].
Abel, Joshua ;
Rich, Robert ;
Song, Joseph ;
Tracy, Joseph .
JOURNAL OF APPLIED ECONOMETRICS, 2016, 31 (03) :533-550
[2]   Financial regimes and uncertainty shocks [J].
Alessandri, Piergiorgio ;
Mumtaz, Haroon .
JOURNAL OF MONETARY ECONOMICS, 2019, 101 :31-46
[3]   Uncertainty across volatility regimes [J].
Angelini, Giovanni ;
Bacchiocchi, Emanuele ;
Caggiano, Giovanni ;
Fanelli, Luca .
JOURNAL OF APPLIED ECONOMETRICS, 2019, 34 (03) :437-455
[4]  
Arellano C., 2012, FINANCIAL FRICTIONS
[5]   Developing news-based Economic Policy Uncertainty index with, unsupervised machine learning [J].
Azqueta-Gavaldon, Andres .
ECONOMICS LETTERS, 2017, 158 :47-50
[6]   Does partisan conflict deter FDI inflows to the US? [J].
Azzimonti, Marina .
JOURNAL OF INTERNATIONAL ECONOMICS, 2019, 120 :162-178
[7]   Uncertainty and Economic Activity: Evidence from Business Survey Data [J].
Bachmann, Ruediger ;
Elstner, Steffen ;
Sims, Eric R. .
AMERICAN ECONOMIC JOURNAL-MACROECONOMICS, 2013, 5 (02) :217-249
[8]   Determining the number of factors in approximate factor models [J].
Bai, JS ;
Ng, S .
ECONOMETRICA, 2002, 70 (01) :191-221
[9]   Multinationals as Arbitrageurs: The Effect of Stock Market Valuations on Foreign Direct Investment [J].
Baker, Malcolm ;
Foley, C. Fritz ;
Wurgler, Jeffrey .
REVIEW OF FINANCIAL STUDIES, 2009, 22 (01) :337-369
[10]  
Baker S., 2013, A measure of economic policy uncertainty for China