Revealed stock preferences of individual investors: Evidence from Chinese equity markets

We examine the stock preferences of Chinese individual investors as revealed by their executed trades. Results show that their stock preferences vary with wealth levels. Wealthier individuals prefer stocks with high liquidity and volatility, greater state-ownership, high growth potential, and strong past performance. Less wealthy individuals, however, prefer stocks with high beta, high liquidity, poor past performance, low price, and small capitalization. Overall, the investment choices of Chinese individual investors do not necessarily suggest only behavioral biases as existing studies might have implied, but instead, they reveal to some extent the rational investing behavior of Chinese individual investors.     

交叉上市、信息不对称与风险特征

本文以"A+H"交叉上市公司价格差异为研究对象,对A股、H股股票价格之间差异及其变化进行研究。根据对36家A+H股上市公司近期9个月溢价水平的分析发现,信息不对称理论能够解释AH股溢价扩大的现象,投资者与公司之间信息不对称问题得到缓解的趋势不明显,反而有所强化;国有股特征导致AH溢价缩小,海外投资者对国有股份的认同度提升;流动性理论、不同风险偏好理论不能解释AH溢价变化,数据分析支持信息不对称理论、风险特征理论和需求理论。     

A functional approach to the price impact of stock trades and the implied true price

We propose a functional approach to estimate the instantaneous price impact of a trade and to infer an implied true price. Our model expresses price impact as an S-shaped function of signed volume. It has two parameters, one for price impact and one for liquidity depth. The latter measures the differential impact of small and large trades. The price impact is instantaneous, that is, it occurs at the instant of trade execution. Our specification also permits the price impact of buys and sells to be asymmetric. We compute an implied true price from our model, and we find that it is closer than the quote midpoint to the unobservable true price. Our empirical analysis also shows that the effective spread, which is computed using the midpoint, has an upward bias, and that the implicit transaction costs may be lower than previous estimates.     

Optimal execution of open-market stock repurchase programs

This paper formalizes the following intuition about open-market share repurchases. Firms do open-market share repurchases to return free cash, which would otherwise be wasted. However, when the firm goes to buy its own shares with this cash, it has inside information and hence the actual execution is characterized by adverse selection. The market knows that the firm has inside information, and consequently the ask price is high to compensate for this adverse selection problem. This implies that, all else equal, the greater the adverse selection problem compared to the cash waste problem, the higher the ask price, and, therefore, the wider the bid–ask spread and the lower the share repurchase completion rate. We test this implication on a sample of U.S. firms and report evidence consistent with the model.     

Microstructure and reverse stock splits

In this paper we show that, similar to NYSE/AMEX stocks, NASDAQ stocks exhibit significant ex date returns for reverse stock splits. Although the 10-day cumulative return after the ex date is close to –10%, this does not violate market efficiency, because the average bid-ask spread for the reverse split stock is at least double this return. We also document that these large negative returns are mostly due to a drop in the ask price while bid prices barely change at all. Furthermore, the ex date returns are negatively related to trading volume.These results suggest that there is abnormal selling and a significant buildup of market makers' inventories near the ex date. To reduce the inventory buildup, market makers lower ask prices to induce buying by investors, resulting in the observed negative returns. Lowering bid prices, an alternative strategy for reducing inventories, is not attractive to market makers due to competitive factors and the reduction of commissions associated with a smaller number of transactions. Notably, selling investors have no incentives to sell their stocks early to avoid the observed negative ex date return, since this return is largely an ask price phenomenon and does not represent realized returns to sellers.     

Stock liquidity premium with stochastic price impact and exogenous trading strategy

This paper provides a model which helps explain the variability of stock liquidity premium. Liquidity is modelled as a time-varying price impact and includes both permanent as well as temporary price impacts. Liquidity premium is defined as an additional expected return that stock should yield to compensate an investor for the potential loss of wealth utility caused by price impact costs. The numerical results presented show that liquidity premium varies with expected net stock return, return volatility and, to a lesser extent, with returns on risk-free bonds. Liquidity premium is a growing and convex function of liquidity costs, and temporary price impact has a more severe effect on liquidity premium than the permanent one.     

A theory of risk disclosure

In this paper, we consider the price effects of risk disclosure. We develop a model in which investors are uncertain about the variance of a firm’s cash flows and the firm releases an imperfect signal regarding this variance. In our model, uncertainty over the riskiness of a firm’s cash flows leads to a variance uncertainty premium in its price. We demonstrate that risk disclosure decreases the firm’s cost of capital by reducing this premium and that the market response to risk disclosure is small when the expected level of risk is high. Moreover, we find that firms acquire and disclose more risk information when their cash flow risk is greater than expected. Finally, we demonstrate that in a multi-asset setting, only risk disclosure concerning systematic risks will impact the cost of capital.     

Fund ownership and stock price informativeness of Chinese listed firms

We examine the impact of mutual fund ownership on stock price informativeness in China. Existing evidence shows that stock price informativeness is low in China, and attributes this to firms’ lack of disclosure incentives under the weak investor protection institutional environment. Mutual funds are more sophisticated and influential than individual investors to monitor firms, and thus serve as an external governance mechanism to improve corporate transparency. However, the impact of mutual funds in China can also be moderated by state ownership of listed firms, which reduces firms’ dependence on outside investors for capital. Indeed, we find that mutual fund ownership is positively related to share price informativeness, but this effect is less pronounced among state-controlled firms. The main policy implication from our findings is that mutual funds contribute to the corporate information environment of emerging economies but further privatization of listed firms would be needed to realize greater benefit.     

The dividend month premium

We find an asset pricing anomaly whereby companies have positive abnormal returns in months when they are predicted to issue a dividend. Abnormal returns in predicted dividend months are high relative to other companies and relative to dividend-paying companies in months without a predicted dividend, making risk-based explanations unlikely. The anomaly is as large as the value premium, but less volatile. The premium is consistent with price pressure from dividend-seeking investors. Measures of liquidity and demand for dividends are associated with larger price increases in the period before the ex-day (when there is no news about the dividend) and larger reversals afterward.     

Zero-leverage policy and stock price crash risk: Evidence from Korea

This study examines the difference in stock price crash risk between zero-leverage and non-zero-leverage firms. We find that zero-leverage firms have a significantly higher future stock price crash risk than non-zero-leverage firms. Next, we find that the positive relation between zero-leverage policy and future stock price crash risk is more pronounced when firms have higher controlling shareholders' ownership and foreign ownership. We also find that the positive relation is more pronounced for firms with low cash holdings than for those with high cash holdings. Further, we find that the positive relation is stronger for dividend-paying firms than non-dividend-paying firms. Our results are robust to alternative estimation specifications and endogeneity concerns. Overall, our findings shed light on the extent to which extreme corporate financial policy has an impact on future stock price crash risk. Our empirical evidence also provides meaningful implications for how stakeholders (especially investors) predict stock price crash risk in the context of extremely conservative capital structure.     

The roles of past returns and firm fundamentals in driving US stock price movements

This paper provides new empirical evidence that incorporating past stock returns from different time horizons can enhance the ability of firm fundamentals to better explain stock price movements but this benefit dissipates under uncertainty. We apply both OLS and state-space modeling to US firms' stock price movements over the period from 1999 to 2012 to compare the roles of the two main types of information typically used by equity investors. Empirical results reveal the importance of firm fundamentals over longer term horizons for particularly, small-cap stocks with greater information uncertainty. Furthermore, when market uncertainty is high, fundamentals unambiguously dominate in driving stock price movements of smaller sized firms indicating that uncertainty at the firm and market level both create attention bias on firm fundamentals.     

The macroeconomic determinants of technology stock price volatility

Stock prices reflect the value of anticipated future profits of companies. Since business cycle conditions impact the future profitability of firms, expectations about the business cycle will affect the current value of firms. This paper uses daily and monthly data from July 1986 to December 2000 to investigate the macroeconomic determinants of US technology stock price conditional volatility. Technology share prices are measured using the Pacific Stock Exchange Technology 100 Index. One of the novel features of this paper is to incorporate a link between technology stock price movements and oil price movements. The empirical results indicate that the conditional volatilities of oil prices, the term premium, and the consumer price index each have a significant impact on the conditional volatility of technology stock prices. Conditional volatilities calculated using daily stock return data display more persistence than conditional volatilities calculated using monthly data. These results further our understanding of the interaction between oil prices and technology share prices and should be of use to investors, hedgers, managers, and policymakers.     

The Cost of Short‐Selling Liquid Securities

Standard models of liquidity argue that the higher price for a liquid security reflects the future benefits that long investors expect to receive. We show that short‐sellers can also pay a net liquidity premium if their cost to borrow the security is higher than the price premium they collect from selling it. We provide a model‐free decomposition of the price premium for liquid securities into the net premiums paid by both long investors and short‐sellers. Empirically, we find that short‐sellers were responsible for a substantial fraction of the liquidity premium for on‐the‐run Treasuries from November 1995 through July 2009.     

Energy price uncertainty and the value premium

This paper examines the impact of energy price uncertainty on a range of value anomalies. We demonstrate that the value premium is substantially stronger in periods of heightened energy price uncertainty. Energy price uncertainty exerts an asymmetric effect on the value anomalies, whereby downside energy price uncertainty accentuates the return differences between value and growth stocks compared to upside energy uncertainty. These findings are consistent with the argument that value firms possess a larger amount of inflexible assets than growth firms. Therefore, they struggle more to adjust in periods of elevated energy price uncertainty. We also demonstrate that energy price uncertainty has predictive power on the value premium one-month ahead. Using the Feasible Generalized Least Squares predictive model, energy price uncertainty can help mean-variance investors to obtain a positive annual utility gain across the value anomalies for up to 16.71%.     

Correlation risk

Investors hold portfolios of assets with different risk-reward profiles for diversification benefits. Conditional on the volatility of assets, diversification benefits can vary over time depending on the correlation structure among asset returns. The correlation of returns between assets has varied substantially over time. To insure against future “low diversification” states, investors might demand securities that offer higher payouts in these states. If this is the case, then investors would pay a premium for securities that perform well in regimes in which the correlation is high. We empirically test this hypothesis and find that correlation carries a significantly negative price of risk, after controlling for asset volatility and other risk factors.     

Is asymmetric mean-reverting pattern in stock returns systematic? Evidence from Pacific-basin markets in the short-horizon

This paper applies asymmetric nonlinear smooth transition generalized autoregressive conditional heteroskedasticity (ANST-GARCH) models to the analysis of mean-reversion and time-varying volatility in weekly index returns of the stock markets of nine countries in the Pacific-basin. It finds that the returns exhibit an asymmetric pattern of return reversals, viz., on average, a negative return reverts more quickly, with a greater magnitude, to a positive return than a positive return reverting to a negative one. The asymmetric pattern of return reversals is directly associated with the unequal pricing behavior on the part of investors. Following a negative return shock, investors do not appear to require any additional premium to the leverage effect; instead they actually neutralize the risk in the form of a reduced premium! The reduction in risk premium causes not only the current stock price to rise but also the realized negative return to revert faster with a greater magnitude.     

Economic policy uncertainty and stock price crash risk

This paper studies the impact of economic policy uncertainty on stock price crash risk using data from China. We develop a new index to measure Chinese economic policy uncertainty and find that economic policy uncertainty has a remarkable positive effect on stock price crash risk. However, the effect reverses later. The results also indicate that the positive effect of economic policy uncertainty on stock price crash risk is more prominent for state‐owned enterprises. Moreover, this effect is more prominent for firms with higher information asymmetry and firms with greater disagreement among investors, indicating that economic policy uncertainty affects crash risk through two mechanisms: managers’ concealment of bad news and investors’ heterogeneous beliefs.     

Mean-Reversion in REITs Discount to NAV &; Risk Premium

REITs discount to NAV is a puzzling regularity. The sharp increase in volatility of REITs prices over the past few years has spurred a relatively new concern amongst academics, managers and investors about the consequences of, and causes of, property risk premium on discount to NAV. The two interrelated questions arising from the recent increase in volatility of REITs prices are: Is the increased volatility responsible for the observed widening in discount to NAV? What does the observed private and public risk premium tell us about discount to NAV? We attempt to address these questions by analysing risk premiums in private and public real estate markets. The analysis is conducted in the most recent years of high stock price volatility. Our analysis reveals two major results: a tendency for discount to NAV to revert to the long term mean value of 20% and, more significantly, a lower risk premium in equivalent yields in private market than in public market. These results suggest that investors in public market have a different conception of property risk and complexity of lease options than what is conveyed by private property valuation.     

Spot price modeling and the valuation of electricity forward contracts: The role of demand and capacity

We propose a model where wholesale electricity prices are explained by two state variables: demand and capacity. We derive analytical expressions to price forward contracts and to calculate the forward premium. We apply our model to the PJM, England and Wales, and Nord Pool markets. Our empirical findings indicate that volatility of demand is seasonal and that the market price of demand risk is also seasonal and positive, both of which exert an upward (seasonal) pressure on the price of forward contracts. We assume that both volatility of capacity and the market price of capacity risk are constant and find that, depending on the market and period under study, it could either exert an upward or downward pressure on forward prices. In all markets we find that the forward premium exhibits a seasonal pattern. During the months of high volatility of demand, forward contracts trade at a premium. During months of low volatility of demand, forwards can either trade at a relatively small premium or, even in some cases, at a discount, i.e. they exhibit a negative forward premium.