This paper investigates the impact of Covid-19 outbreak on households’ preferences for subway proximity, using housing transaction data from eight major cities with the highest metro commuting volumes. Contrary to what we expect from remote working which has been popular since Covid-19 outbreak, we find no evidence of a smaller housing price premium for subway proximity after the outbreak, based on a difference-in-difference empirical strategy.

China’s household wealth is growing rapidly and has become significant worldwide. While the government played an important role in economic growth and wealth accumulation, few research has explained why and how government expenditure redistributes household wealth in China. This study uses China Family Panel Studies (CFPS) household survey (2010-2018) and prefecture-level data to estimate the impact of government expenditure on household wealth, especially the value of housing asset. We find that the capitalization of government expenditure contributes an important part to housing value appreciation, which accounts for more than 50% of household wealth. Furthermore, the impact mechanism of government expenditure on households’ wealth has a substantial redistributive effect. Government expenditures greatly advance the net worth of households who own their houses, especially for households that own two or more houses, but contribute much less to those comprising rental tenants.

This paper is the first study to systematically discuss the predictive power of crosssectional asset pricing anomalies on aggregate market excess return time series in the Chinese A-share market. The paper summarizes the anomalies and uses linear methods with different shrinkage techniques to extract predictive information from highdimensional long-short anomaly portfolio returns datasets. We find that long-short anomaly portfolio returns show highly significant out-of-sample predictive power of aggregate market excess returns, both statistically and economically. Unlike similar studies on U.S. stocks, the predictive power stems from stronger limits of arbitrage in the short-leg when using bid-ask spread as a proxy but from stronger limits of arbitrage in the long-leg when idiosyncratic volatility or market capitalization is used as proxies.

The U.S. stock market has long been the most popular venue for both foreign companies and global investors. The recent cross-border regulation tensions between the U.S. and China, however, have exposed many U.S.-listed China Concepts Stocks (CCS) to substantial de-listing risks, forcing them to pursue dual listings on the Hong Kong Stock Exchange (HKEX). In this paper, we quantify the economic value of dual-listing, using the SEC’s adoption of the ffnal amendments implementing mandates of the Holding Foreign Companies Accountable Act (HFCAA) on December 2, 2021 as a natural experiment. We estimate that CCS with pre-shock dual-listing status on average have 14.88% higher returns, or USD 8 billion in market capitalization, than their peers listed only on the U.S. exchanges during a three-month period after the shock. Our ffndings survive a set of robustness checks, including parallel trends test, alternative treatment and control groups based on the qualiffed but not yet dual-listed CCS, and various sub-sample and placebo analyses. In addition to stock returns, dual-listed CCS are also less adversely affected in trading volume, volatility, and liquidity. Our ffndings highlight the large economic impact of the escalating political U.S.-China tensions on the global ffnancial markets.

This study contributes to the understanding of the relationship between Chinese local government debt and house prices by proposing the land channel as a novel explanatory framework. We construct a three-sector equilibrium model and demonstrate that local government debt positively affects house prices through both direct and indirect effects, with the indirect effect operating through the land market. However, the land use efficiency mitigates the positive effect of government debt on land and house prices within indirect effect. These propositions are empirically confirmed using a panel dataset of 260 cities in China from 2011 to 2019.

We analyze return predictability for the Chinese stock market, including the aggregate market portfolio and the components of the aggregate market, such as portfolios sorted on industry, size, book-to-market and ownership concentration. Considering a variety of economic variables as predictors, both in-sample and out-of-sample tests highlight significant predictability in the aggregate market portfolio of the Chinese stock market and substantial differences in return predictability across components. Among industry portfolios, Finance and insurance, Real estate, and Service exhibit the most predictability, while portfolios of small-cap and low ownership concentration firms also display considerable predictability. Two key findings provide economic explanations for component predictability: (i) based on a novel out-of-sample decomposition, time-varying macroeconomic risk premiums captured by the conditional CAPM model largely account for component predictability; (ii) industry concentration and market capitalization significantly explain differences in return predictability across industries, consistent with the information-flow frictions emphasized by Hong, Torous, and Valkanov (2007).

Policy actions by the Federal Reserve during the recent financial crisis often involve recapitalization of banks. This paper offers a theory of the non-neutrality of money for policy actions taking the form of injecting capital into banks via nominal transfers, in an environment where banking frictions are present in the sense that there exists an agency cost problem between banks and their private-sector creditors. The analysis is conducted within a general equilibrium setting with two-sided financial contracting. We first show that even with perfect nominal flexibility, the recapitalization policy can have real effects on the economy. We then study the design of the optimal long-run recapitalization policy as well as the optimal short-run policy responses to banking riskiness shocks.

The B-share markets in China, originally for foreign investors only, were opened to local investors in 2001. This reform was expected to improve the information efficiency in B-share markets, since local investors were supposed to be better informed than foreign investors. Meanwhile, we find that, after opening to local investors, B-share price synchronicity increases, and firm-specific return variation (idiosyncratic risk) decreases. Opening B-share markets to local investors fails to improve or even deteriorates the information capitalization of B-share prices. The findings may help us understand Chinese government’s policy making. For instance, in August 2007, Chinese government announced that Chinese citizens would be allowed in public to buy and sell Hong Kong stocks through special accounts with domestic commercial banks. But after hearing opinions from different entities, Chinese government decides to infinitely postpone this policy.

The trade size Omega has direct impact on the price formation of the stock traded. Econophysical analyses of transaction data for the US and Australian stock markets have uncovered market-specific scaling laws, where a master curve of price impact can be obtained in each market when stock capitalization C is included as an argument in the scaling relation. However, the rationale of introducing stock capitalization in the scaling is unclear and the anomalous negative correlation between price change r and trade size Omega for small trades is unexplained. Here we show that these issues can be addressed by taking into account the aggressiveness of orders that result in trades together with a proper normalization technique. Using order book data from the Chinese market, we show that trades from filled and partially filled limit orders have very different price impact. The price impact of trades from partially filled orders is constant when the volume is not too large, while that of filled orders shows power-law behavior r-omega^alpha with alpha=2/3. When returns and volumes are normalized by stock-dependent averages, capitalization-independent scaling laws emerge for both types of trades. However, no scaling relation in terms of stock capitalization can be constructed. In addition, the relation alpha=alpha_omega/alpha_r is verified, where alpha_omega and alpha_r are the tail exponents of trade sizes and returns. These observations also enable us to explain the anomalous negative correlation between r and Omega for small-size trades. We anticipate that these regularities may hold in other order-driven markets.

This paper examines both the time series and cross-country patterns in the development of stock markets around the world. It adopts a flexible modeling framework that allows for the breakdown of changes in equity market capitalization into changes in macroeconomic and financial fundamentals, shifts in valuation technology and market sentiment, and improvement in valuation efficiency. Using panel data on 32 countries, I show that for developed countries, the size of their equity markets is positively related to the correlation of these markets with the global portfolio, and is negatively related to government consumption. For developing countries, the level of financial intermediary development and openness to trade are found to be conducive to the development of local equity markets. For given levels of market fundamentals, developed countries with greater economic freedom and stronger shareholder protections are associated with more highly valued equity markets, while the French or German civil law countries and countries with insider trading legislation tend to have relatively poorly valued equity markets. For developing countries, ceteris paribus, high quality of accounting standards is found to be associated with higher valuation of their equity markets. I find that only equities in emerging markets become more highly valued, indicating an improvement in valuation efficiency over time. Australia, Canada, the United States, Hong Kong, and Singapore have the most highly valued equity markets in the developed world, while Malaysia has the mostly highly valued equity market in the developing world. It appears that favorable shifts in valuation technology and market sentiment contribute the lion’s share of the growth of global equity markets.