Is U.S. economic policy uncertainty priced in China's A-shares market? Evidence from market,industry, and individual stocks

This paper is motivated by Bali, Brown, and Tang (2017) who find U.S. economic policy uncertainty (EPU) is priced in the cross-section of U.S. stock returns, and uses weekly data from March 2006 to April 2016 to study whether shocks in U.S. EPU also influence prices of China's A-shares from a market, industry, and individual stock perspective. Our methodology relies on an ARMA (1,1) model to extract shocks in the U.S. EPU series and a GARCH (1,1) model to examine how returns of China's A-shares respond to these shocks after controlling for business conditions proxied by term and credit spread in China. Generally, we find that shocks in U.S. EPU significantly and negatively explain returns of Chinese A-shares with a lag of one week. In addition, the market index containing small and growth stocks is more sensitive to shocks in U.S. EPU than the index containing big and value stocks. Furthermore, we find that firms in manufacturing, information technology, and media industries in China are more sensitive to shocks in U.S. EPU, while firms in agriculture and real estate industries respond less to shocks in U.S. EPU. Finally, China's A-shares which decline more in response to shocks in U.S. EPU have higher returns, smaller market capitalization, weaker operating profitability, higher asset growth, and better past year's cumulative returns. Overall, our findings show that investors in the Chinese A-shares market require a premium to hold stocks that are sensitive to shocks in U.S. economic policy uncertainty.     

Economic policy uncertainty,investor attention and post-earnings announcement drift

How the market incorporates information into stock price is a core issue in finance. This study focuses on the impact of economic policy uncertainty (EPU) on the stock prices information efficiency of China's A-share market and underlying role of investors' attention allocation mechanism. This study analyzes the information efficiency of stock prices using the sensitivity of stock cumulative abnormal return to earnings information across different windows following earnings announcement. Based on the earnings announcement events of listed companies in China's A-share market, this study presents an empirical study of the aforementioned issues using event study and regression analysis methods. The following results are seen: (1) EPU aggravates the underreaction of stock price earnings information and the post-earnings announcement drift in the A-share market. (2) Under highly uncertain economic policies, investors show a limited attention allocation pattern of devoting increasing attention to macroeconomic policies and decreasing attention to earnings information, which leads to a decrease in the information efficiency of stock price. This study also analyzes the heterogeneity of the influence of EPU on stock price information efficiency using the institutional shareholding ratio. The results show that increasing institutional shareholding does not reduce the adverse effects of EPU on the information efficiency of stock prices. This study not only provides empirical evidence for Brunnermeier, Sockin, and Xiong (2022) and rational inattention theory, but also reveals that institutional investors show similar behavioral characteristics to retail investors in China's stock market. The results of this study have policy significance for improving the information efficiency of stock market.     

Economic policy uncertainty exposure and stock price bubbles: Evidence from China

We explore the impact of economic policy uncertainty exposure (hereafter, EPU exposure) on stock price bubbles. We find that there exists a significantly positive relationship between EPU exposure and stock price bubbles. This result is still significant after a series of robustness checks. Moreover, the relationship between EPU exposure and bubbles is due to retail investors' speculative trading behavior. In addition, optimistic aggregate states and firms with higher information uncertainty characteristics strengthen the EPU exposure effects. Overall, we provide unique evidence regarding the impact of uncertainty on stock prices.     

Asymmetric volatility spillover between oil-importing and oil-exporting countries' economic policy uncertainty and China's energy sector

While the relationship between economic policy uncertainty(EPU) and energy market is of great interest to economist, previous research dose not differentiate the effect from oil-importing countries to oil-exporting countries' EPU on the a country's energy sector. In this paper, we address this issue by testing the effect of importer and exporter's EPU on the largest oil-importing country, China, as oil-importing affected greatly by the economic policy. TVP-FAVAR model is applied to obtain the factors and time-varying coefficients of 21 countries' EPU monthly indexes and energy stock realized volatility. We find that the Chinese energy sector's stock volatility is positively related to EPU shocks and that bad volatility has a stronger impact than good volatility. Second, the volatility spillover from oil-exporting countries' EPU on the Chinese energy sector is stronger than that from oil-importing countries' EPU, with a stronger effect for bad volatility than for good volatility. Finally, The bad volatility spillover and spillover asymmetry is stronger during the crisis periods, such as the debt crisis, energy contention, oil price turbulence, or limited production agreement, both symmetric and asymmetric spillovers increase. Our findings have potentially important implications for the regulators and investors on Chinese oil market with different types of countries' EPU.     

Asymmetric volatility spillovers between economic policy uncertainty and stock markets: Evidence from China

This study explores the spillovers between economic policy uncertainty (EPU) and stock market realized volatility (RV). The monthly index of Chinese and US EPU and RV are used to analyze the pairwise directional spillovers. We find that RV is a net receiver that is more vulnerable to shocks from U.S. EPU than to shocks from Chinese EPU. We further decompose the RV into good and bad volatility to test the asymmetric spillover effect between the stock market and EPU. The results suggest that EPU has a bigger effect on bad volatility in the stock market throughout most of the sample period. However, we find that good volatility spillovers become larger during periods of stimulated reform, whereas bad volatility spillovers become larger during periods of international disputes. We show that Chinese stock market volatility is sensitive to both U.S. and Chinese EPU and that the spillover is asymmetric in different periods.     

Market liberalization within a country

China's B-share market, which used to be restricted to foreign investors, was partially opened up in February 2001 to Chinese local investors. We take this as a controlled experiment in cross-border trading on a small scale. We find mild but positive effects on the B-share market, with higher volumes, lower levels of volatility, lower bid–ask spreads and more liquidity after liberalization. Between A- and B-shares, price disparities narrowed; the correlation and the co-integration relationships became stronger; and the flow of information became more balanced. More new individual investors entered into the B-share market without crowding out existing institutional investors. Even though the liberalization measure is partial and one-way, it has helped to improve the quality of the B-share market, and our results lend no support to the popular claim that liberalization does nothing but help the existing foreign shareholders to cash out.     

An exploration on policy uncertainty as a driver of R&D activity

We explore the relationship between uncertainty in economic policy and R&D activity for the sample of 576 firms from seven countries in the world. We base our analysis on an index of newspaper-based economic policy uncertainty (EPU) following the approach of Baker et al.’s (2016). We observe a significantly negative link between EPU and R&D intensity. Interestingly, the negative effect of policy uncertainty has less effect on the R&D activities of firms with growth opportunities. Finally, firms in politically sensitive industries respond stronger to EPU as far as R&D intensity is taken into account.     

经济政策不确定性、意见分歧与股价崩盘风险

基于中文媒体构建的中国经济政策不确定性指数,研究经济政策不确定性对股价崩盘风险的影响效果和机制。结果显示：经济政策不确定性的提高会显著加剧股价崩盘风险,这表明经济政策不确定性是崩盘风险的诱因之一。通过对影响机制检验发现,经济政策不确定性对股价崩盘风险的正向作用,随着投资者意见分歧的增加而加强。在宏观经济良好时期,非国有股权和规模较大的企业,经济政策不确定性并未明显加剧股价崩盘风险,甚至起到了缓解股价崩盘风险的作用。     

Stock price reactions to earnings announcements: evidence from Chinese markets

We examine the stock price reactions to changes in earnings per share (EPS) in the Chinese stock markets. We find that domestic A-share investors do not correctly anticipate the changes in earnings and fail to adjust new earnngs information quickly, but international B-share investors can predict earnings changes better than A-share investors. As a result, abnormal returns (ARs) can be obtained by trading on the earnings information, but for A shares only. An explanation is that most A-share holders are individuals with short-term investment horizon while most B-share holders are large institutions that trade on more detailed and accurate financial information not immediately available to A-share holders.     

网络关注度对我国股票市场信息不对称程度的影响

以2013-2016年391支股票的360搜索指数中的投资者关注度和媒体关注度的指数作为网络关注度度量指标,同时基于股票市场交易数据采用多种信息不对称计算方法构建了信息不对称性度量指标,并进一步构造了信息不对称主成分综合指标。通过建立横截面回归模型,探究投资者和媒体关注度对我国股票市场的信息不对称程度的影响作用。实证分析及稳健性检验结果表明：投资者关注度的增加会减少知情交易及信息不透明程度,从而减少了股票市场的信息不对称程度,提高了股票市场的流动性;媒体关注度对不同的信息不对称性度量指标的影响存在着不一致性。本研究通过探索投资者关注度及媒体关注度在新兴市场中的应用,对于我国证券市场监管层制定政策以及对于普通投资者优化投资策略都具有重要的参考意义。     

Category-specific EPU indices,macroeconomic variables and stock market return predictability

This paper mainly investigates whether the category-specific EPU indices have predictability for stock market returns. Empirical results show that the content of category-specific EPU can significantly predict the stock market return, no matter the individual category-specific EPU index or the principal component of category-specific EPU indices. In addition, the information of category-specific EPU indices can also have higher economic gains than traditional macroeconomic variables, even considering the trading cost and different investor risk aversion coefficients. During different forecasting windows, multi-period forecast horizons and the COVID-19 pandemic, we find the information contained in category-specific EPU indices can have better performances than that of the macroeconomic variables. Our paper tries to provide new evidence for stock market returns based on category-specific EPU indices.     

Informational linkage and price discovery between China's futures and spot markets: Evidence from the US–China trade dispute

This study examines the effects of the US–China trade dispute on the informational linkages and price discovery between China's futures and spot markets. Using the daily price data of four assets representing the real and financial sectors in China during 2016–2019, empirical findings suggest that the futures–spot correlations for the stock index, copper, and corn markets have increased significantly during the trade dispute. In contrast, sharp declines in the dynamic correlations between gold futures and spot markets, as gold is a safe haven asset, are observed during the event window. During uncertainty disturbance (i.e., the trade dispute), the futures–spot cointegrated relationships in the gold and corn markets are found to adjust more quickly and efficiently, whereas the correction speeds of the market deviations for the stock index and copper market are moderately slower. With the intensive integration of market expectations with uncertainty shocks, the economic shocks of trade disputes tend to remarkably improve the pricing efficiency of China's futures markets, except for the gold futures market. China's spot markets, however, seem to be more sensitive to the noise trades and information disturbances arising from the trade dispute.     

Is China's P/E ratio too low? Examining the role of earnings volatility

We find that China's P/E ratio is comparable to that of the U.S. S&P 1500 index, a broad based index covering large, middle, and small capitalization firms. We provide an explanation as to why China's seemingly low P/E ratio is not surprising in light of the economic growth that it has experienced. Specifically, we show that (i) the P/E ratio is negatively associated with earnings volatility in both the Chinese and U.S. stock markets with an economically significant magnitude; and (ii) historical earnings volatility is considerably higher in China than in the U.S. Higher earnings volatility in China offsets higher growth prospect in setting the P/E ratio, making its P/E ratio much closer to what is observed empirically than otherwise implied by its growth rate.     

Economic policy uncertainty,corporate investment decisions and stock price crash risk: Evidence from China

We examine the relationship between economic policy uncertainty (EPU) and stock price crash risk via the corporate investment in Chinese listed firms. Results show that higher EPU is associated with lower crash risk. Firms increase financial asset holdings and reduce overinvestment when EPU rises, leading to lower future crash risk. State-owned enterprises (SOEs) and firms with lower management incentives tend to reduce overinvestment, whereas non-SOEs tend to increase financial asset holdings. Thus, firms tend to be cautious in their investments when EPU is high, which reduces crash risk. Our study provides new insights into the validity of the Lucas critique in China.     

FOREIGN OWNERSHIP RESTRICTIONS AND MARKET SEGMENTATION IN CHINA'S STOCK MARKETS

We study market segmentation in China's stock markets, in which local firms issue two classes of shares: class A shares available only to Chinese citizens and class B shares available only to foreign citizens. Significant stock price discounts are documented for class B shares. We find that the price difference is primarily due to illiquid B‐share markets. Relatively illiquid B‐share stocks have a higher expected return and are priced lower to compensate investors for increased trading costs. However, between the two classes of shares, B‐share prices tend to move more closely with market fundamentals than do A‐share prices. Therefore, we find A‐share premiums rather than B‐share discounts in China's markets. JEL classification: G15     

The informativeness of domestic and foreign investors’ stock trades: Evidence from the perfectly segmented Chinese market

This paper uses the perfect market segmentation setting in China's stock market to compare the information content of the stock trades of domestic and foreign investors. We study 76 firms that issue both A-shares (for domestic investors) and B-shares (for foreign investors) and compare the price discovery role of the two segmented markets in China. Before Feb 19, 2001, the A-share market led the B-share market in price discovery, as the signed volume and quote revision of the A-share market had strong predictive ability for B-share quote returns, but not vice versa. After Feb 19, 2001, because some domestic investors were allowed to invest in the B-share market, we find evidence for a reverse causality from the B-share to the A-share market. Nevertheless, the [Hasbrouck (1995). One security, many markets: determining the contributions to price discovery, Journal of Finance 50, 1175–1199.] information share analysis reveals that A-shares continue to dominate the price discovery process.     

Dynamic and frequency-domain spillover among economic policy uncertainty,stock and housing markets in China

This study examines the dynamic characteristics of information spillover effect among economic policy uncertainty (EPU), stock and housing markets in China's first-, second- and third-tier cities. To measure return and volatility spillovers over time and across frequencies simultaneously, the researchers utilize the time-frequency connectedness network approach developed by Baruník and Křehlík (2018). The empirical findings suggest that return and volatility spillovers are stronger in the longer period (more than 3 months) than in the shorter period (1 to 3 months). In the short term, second and third-tier cities are net transmitters of information spillovers, while in the long term, first-tier cities, EPU, and stock markets are the net information transmitters. Furthermore, the long-term information from the EPU and stock market affect most of the real estate markets for different tier cities. Additionally, market segmentation reveals the city-specific characteristics of China's real estate market, especially the close connections between first-tier cities and the stock market. These results have important empirical implications for real estate policymakers and investors when they make related short or long-term decisions.     

Empirical analysis of dynamic correlations of stock returns: evidence from Chinese A-share and B-share markets

This paper examines the dynamic correlation structure between A-share and B-share stock returns based on three different measures of correlation coefficients. Testing the models by employing daily stock-return data for the period from 1996 through 2003, we reach the following empirical conclusions. First, the correlation coefficients between A-share and B-share stock returns are time varying. Second, the dynamic path of the correlation coefficients indicates that the correlation coefficients are significantly correlated with the trend factor. Third, there is a substantial spillover effect from the Asian crisis to Chinese stock-return dynamic correlations. Fourth, the evidence suggests that the time-varying correlations are significantly associated with excessive trading activity as measured by excessive trading volumes and high–low price differentials. Fifth, the correlation between A-share and B-share markets has increased since the relaxation of the restriction on B-share market investments by domestic investors.     

Predicting equity premium out-of-sample by conditioning on newspaper-based uncertainty measures: A comparative study

In finance, the use of newspaper-based uncertainty measures has grown exponentially in recent years. For instance, a growing number of researchers have used the newspaper-based U.S. economic policy uncertainty (EPU) index suggested in Baker et al. (2016) as a predictor in their model to forecast the variable of interest out-of-sample. Likewise, inspired by the approach suggested in Baker et al. (2016), several other newspaper-based uncertainty measures have been introduced, such as indices measuring geopolitical risk (GPR) and monetary policy uncertainty (MPU). This study evaluates the relative out-of-sample predictive power afforded by more than fifty different newspaper-based uncertainty measures with regards to predicting excess returns on the S&P 500 index one-month ahead using data from 1985$m$1 through 2020$m$12. Our predictive model accounts for salient data features, namely, predictor endogeneity and persistence. Furthermore, we evaluate the evidence of conditional as well unconditional predictive ability as outlined in Giacomini and White (2006), and also explore whether any identified level of gains from a statistical viewpoint lead to gains from an economic viewpoint. We find that newspaper-based uncertainty measures linked with certain components of the equity market volatility (EMV) tracker suggested in Baker et al. (2019) help improve the accuracy of one month ahead point predictions relative to the benchmark the most. In contrast, EPU, GPR and MPU indices, which are more frequently used by researchers are much less successful.     

Economic policy uncertainty and momentum

We show that a news‐based measure of economic policy uncertainty (EPU) negatively forecasts momentum. A 1‐standard‐deviation increase in EPU is associated with a 1.11% decrease in risk‐adjusted momentum returns. The predictive power of EPU is robust after controlling for previously documented economic state variables and macroeconomic uncertainty. We provide an explanation for these results from the perspective of a fund flow‐induced trading mechanism and offer direct empirical support. The literature documents that momentum can be partially attributed to performance‐chasing mutual fund flows. We find that this flow‐induced mechanism functions more effectively in low EPU states, thereby generating stronger stock momentum.