Shan Wu

Dr. Shan Wu


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 November 2023 in Nature Communications
Verified
Journal Article
Open access
PDF file
YZYuqin Zhou
Yuqin Zhou
SWShan Wu
Shan Wu
ZLZhenhua Liu
Zhenhua Liu
LRLavinia Rognone
Lavinia Rognone
Climate change affects price fluctuations in the carbon, energy and metals markets through physical and transition risks. Climate physical risk is mainly caused by extreme weather, natural disasters and other events caused by climate change, whereas climate transition risk mainly results from the gradual switchover to a low-carbon economy. Given that the connectedness between financial markets may be affected by various factors such as extreme events and economic transformation, understanding the different roles of climate physical risk and transition risk on the higher-moment connectedness across markets has important implications for investors to construct portfolios and regulators to establish regulation system. Here, using the GJRSK model, time-frequency connectedness framework and quantile-on-quantile method, we show asymmetric effects of climate risk on connectedness among carbon, energy and metals markets, with higher impacts of climate physical risk on upward risk spillovers, and greater effects of climate transition risk on the downside risk of kurtosis connectedness.

2 August 2022 in Applied Economics
Verified
Journal Article
Closed access
Zhenhua LiuZhenhua Liu
Zhenhua Liu
TZTingting Zhu
Tingting Zhu
ZDZhaoping Duan
Zhaoping Duan
SXShanqi Xuan
Shanqi Xuan
Zhihua DingZhihua Ding
Zhihua Ding
SWShan Wu
Shan Wu
The role of economic policy uncertainty in the risk transmission between crude oil and stock market cannot be ignored. However, it is unclear whether economic policy uncertainty always amplifies the impact of oil price shocks on stock market over time. This study employs the time-varying parameter structural vector autoregression with stochastic volatility (TVP-SVAR-SV) model to examine the dynamic relationship among different types of oil price shocks, economic policy uncertainty, and China’s stock market returns at the aggregate and industry levels. The empirical results are as follows: First, different types of oil price shocks and economic policy uncertainty have significant time-varying impacts on stock market returns, which mainly occur in the short term. During periods of increased economic policy uncertainty, the stock market is more sensitive to oil price shocks. Second, economic policy uncertainty provides a transmission channel for the propagation between oil price shocks and stock markets, but how does economic policy uncertainty connect oil-stock nexus depends on the origins of oil price shocks. Third, the response patterns of stock market to oil price shocks and economic policy uncertainty are heterogeneous in different industries. Our results provide important implications for policymakers and investors.

22 September 2021 in SN Business & Economics
Verified
Journal Article
Closed access
PDF file
SWShan Wu
Shan Wu

16 November 2024 in Renewable Energy
Verified
Journal Article
Closed access
JWJue Wang
Jue Wang
YZYuqin Zhou
Yuqin Zhou
SWShan Wu
Shan Wu

3 August 2023 in Finance Research Letters
Verified
Journal Article
Closed access
ZSZiyu Song
Ziyu Song
SWShan Wu
Shan Wu

29 December 2023 in International Journal of Financial Engineering
Verified
Journal Article
Closed access
YZYuqin Zhou
Yuqin Zhou
SWShan Wu
Shan Wu
Zhenhua LiuZhenhua Liu
Zhenhua Liu