Exchange rates, credit default swaps and market volatility of emerging markets: Panel CS-ARDL approach

被引:0
|
作者
Wang, Alan T. [1 ]
Liang, Chin -Chia [2 ]
机构
[1] Natl Cheng Kung Univ, Grad Inst Finance, Dept Accountancy, 1 Ta Hsueh Rd, Tainan 70101, Taiwan
[2] Da Yeh Univ, Dept Finance, 168 Univ Rd, Changhua 51592, Taiwan
关键词
CS-ARDL model; Exchange rate; Sovereign credit default swap; CROSS-SECTION; HETEROGENEOUS PANELS; CURRENCY RISK; SOVEREIGN; TESTS; COINTEGRATION; SENTIMENT; PREMIA; CRISES; INFERENCE;
D O I
10.1016/j.bir.2023.12.001
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Using the panel-data approach with a sample of emerging countries, this study examines the relationship between exchange-rate movements from 2011 to 2022, on the one hand, and sovereign debt credit default swap (CDS) premiums and market volatility, on the other. To capture the short- and long-run relationships between exchange rates, sovereign CDS, and market volatility, our study applies the cross-section augmented autoregressive distributed lag (CS-ARDL) model by Chudik and Pesaran (2015) with the pooled mean group (PMG) estimation method. The advantages of this setting are that it allows for cross-sectional heterogeneity and dependence. The exchange rate and the sovereign CDS premium are integrated in the long run. The exchangerate dynamics, the return on CDS, and market volatility are contemporaneously correlated. Furthermore, market volatility and the deviation from the long-run relationship between the exchange rate and CDS also provide predictive information for exchange-rate movements in the next period. These findings shed further light on the forward-premium puzzle.
引用
收藏
页码:176 / 186
页数:11
相关论文
共 40 条