| 英文摘要 |
This study examines the relationship between exchange-traded funds (ETFs) that track strategic materials and the performance of financial markets. The research period is from 1 November 2010 to 31 January 2024, encompassing a total of 3,332 days of data. The Impulse Response Function (IRF) of the Vector Autoregression model (VAR) can be employed to detect the persistence and impact of shocks. Similarly, the Variance Decomposition Function (VDF) can be utilized to observe the impact of the error variation of variables on other variables. The predictive variance explanatory power of the variable is to be determined. The empirical results demonstrate that VIX exerts a considerable influence on REMX (rare earth ETF) and GDX (precious metal ETF), while also exhibiting a notable degree of sensitivity to SPX (S&P 500 Index). The CRB index exerts an insignificant impact on other ETFs in the majority of cases. However, it demonstrates heightened sensitivity to PYZ (raw materials ETF). PCR is predominantly influenced by the inhibitory effect of its own historical data, yet it also exhibits a pronounced impact on itself and VIX. Moreover, PCR displays high sensitivity to SPX and VIX, indicating that market sentiment and volatility exert a significant influence on it. |