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We take a fresh look at the interaction between crude oil prices and investor sentiment from the novel perspective of both the time and the frequency domains. By using principal component analysis, we first construct an investor sentiment indicator. Then, crude oil prices are decomposed into three oil price shocks through an SVAR model. Lastly, the dynamic relationship between investor sentiment and oil price shocks is comprehensively studied from both the time and the frequency domains via wavelet coherence analysis. Our results show the leading position of crude oil prices in the co-movement relationship with investor sentiment. Further, we distinguish the different effects of oil price shocks on investor sentiment at different times and frequencies. We also find that the patterns of the co-movement between oil prices (oil price shocks) and investor sentiment change not only with time but also with frequency.

This paper combines a Granger causality test and a VAR model to investigate the relationships among oil price shocks, global economic policy uncertainty (GEPU), and China’s industrial economic growth. Based on monthly data from 2000 to 2017, we reveal that GEPU and world oil prices jointly Granger cause China's industrial economic growth; world oil prices have a positive effect on China's industrial economic growth, while GEPU has a negative effect. Further analyses investigate the asymmetry effect of oil prices and find that the negative component shows a more significant impact on China's industrial economic growth. The results are robust to different oil price and EPU proxies.

Using the Chinese equity market as the testing venue, this study explores how investor sentiment affects the immediate reaction of stock prices to earnings news in high‐ and low‐sentiment periods. Our key finding is that the sentiment‐driven pricing of earnings will differ between the two periods. Specifically, during high‐sentiment (low‐sentiment) periods, the stock price sensitivity to good (bad) earnings news increases (decreases) with investor sentiment, whereas the stock price sensitivity to bad (good) earnings news is unrelated to investor sentiment. Additionally, we find that the effect of sentiment is more pronounced for young, high volatility, growth and distressed stocks. However, contrary to the U.S. evidence, our results show that small stocks are not always more exposed to sentiment. Further analysis of the role of short‐sales constraints in the sensitivity of stock prices to bad earnings news implies that short sales can enhance informational efficiency.