How Does Information Quality Affect Stock Returns?

Using a simple dynamic asset pricing model, this paper investigates the relationship between the precision of public information about economic growth and stock market returns. After fully characterizing expected returns and conditional volatility, I show that (i) higher precision of signals tends to increase the risk premium, (ii) when signals are imprecise the equity premium is bounded above independently of investors' risk aversion, (iii) return volatility is U-shaped with respect to investors' risk aversion, and (iv) the relationship between conditional expected returns and conditional variance is ambiguous.     

Non-linear Dependence in Stock Returns: Does Trading Frequency Matter?

The UK has a quote-driven pure dealer market structure that is very different from order driven markets such as the NYSE and Japanese markets. This paper investigates non-linear dependence in stock returns for an exhaustive sample of UK stocks for a 21 year period. The results are analysed on the basis of trading frequency. It is found that non-linear dependence is highly significant in all cases for both individual stocks and stock portfolios formed on the basis of trading frequency. The non-linear dependence is primarily over a one day interval, although statistically significant non-linear dependence exists consistently even up to five trading days. Most of the non-linear dependence is in the form of ARCH-type conditional heteroskedasticity. However, statistically significant non-linearity in addition to an EGARCH(1,1) dependence also appears to be present. This additional non-linearity is greater for individual stocks than for portfolios and greater for smaller, less-liquid portfolios. Non-linear dependence does not appear to be caused by non-stationarity in underlying economic fundamentals or by non-linearity in the conditional mean. However, low dimensional chaos is not generally supported. The limited evidence on chaotic behaviour is stronger for portfolios with long price adjustment delays across component stocks. The main results are consistent with US studies on stock indices, suggesting that the process generating non-linear dependence is not dependent on market microstructure characteristics.     

Will Order Imbalances Predict Stock Returns in Extreme Market Situations? Evidence from China

This article examines the relation between order imbalances and stock returns in China during the extreme market situations in 2007 and 2008. We find that order imbalances are positively and significantly related to contemporaneous stock returns but have limited predictability for subsequent returns in extreme market situations. Moreover, order imbalances significantly predict returns in normal market environment, especially for small stocks. This may be attributed to the investor structure in the Chinese market. A trading strategy utilizing the relation between order imbalances and stock returns generates positive returns. Overall, the information contents of order imbalances vary with the market environment.     

Rumor Clarification and Stock Returns: Do Bull Markets Behave Differently from Bear Markets?

This paper analyzes the effects of official rumor clarification on Chinese stock returns under different market conditions. The results show that the average cumulative abnormal return after the clarification event is significantly positive in a bull market, and significantly negative in a bear market. The results are robust across various types of rumors, including rumors of mergers and acquisitions, asset restructuring, and positive changes in a firm's operations. Moreover, in both bull and bear markets, investors are unable to distinguish between rumors that prove true and those that prove false, or between strong and weak rumor denial. Furthermore, investors are also unable to adjust their strategies accordingly.     

Are Financial Constraints Priced? Evidence from Firm Fundamentals and Stock Returns

Using comprehensive firm‐ and aggregate‐level data, this paper studies the real and financial implications of capital market imperfections. We first examine whether financially constrained firms' business fundamentals (capital spending and operating earnings) are more sensitive to macroeconomic movements than unconstrained firms' fundamentals. We then examine whether financial constraint “return factors” respond to macroeconomic shocks in tandem with the responses from business fundamentals. The evidence in this paper points to financial constraints affecting both fundamental quantities and asset returns.     

Do Inventories Matter in Dealership Markets? Evidence from the London Stock Exchange

Using London Stock Exchange data, we test the central implication of the canonical model of Ho and Stoll (1983) that relative inventory differences determine dealer behavior. We find that relative inventories explain which dealers obtain large trades and show that movements between best ask, best bid, and straddle are highly correlated with both standardized and relative inventory changes. We show that the mean reversion in inventories is highly nonlinear and increasing in inventory levels. We show that a key determinant of variations in interdealer trading is inventories and that interdealer trading plays an important role in managing large inventory positions.     

Do Decomposed Financial Ratios Predict Stock Returns and Fundamentals Better?

We investigate the prediction of excess returns and fundamentals by financial ratios, which include dividend‐price ratios, earnings‐price ratios, and book‐to‐market ratios, by decomposing financial ratios into a cyclical component and a stochastic trend component. We find both components predict excess returns and fundamentals. Cyclical components predict increases in future stock returns, while stochastic trend components predict declines in future stock returns in long horizons. This helps explain previous findings that financial ratios in the absence of decomposition find weak predictive power in short horizons and some predictive power in long horizons. We also find both components predict fundamentals.     

Time to Slow Down for High-Frequency Trading? Lessons from Artificial Markets

In this paper, we focus on the French cancel order tax implemented on 1 August 2012. We question the effectiveness of the modified tax with no exemptions and we analyze its impact on market quality, measured by liquidity, volatility and efficiency. Additionally, this paper raises the question whether this tax leads to a reduction of high-frequency trading (HFT) activities and a decline in trading volume. Based on our findings we report that introduction of cancel order tax only slightly reduces HFT activities, but it significantly affects market liquidity, increases market volatility and leads to deteriorating market efficiency. We conclude that it is difficult to dissuade investors from entering into unproductive trades and eliminate negative outputs of HFT (such as price manipulations) through tax, without altering the benefits of HFT like liquidity provision and efficient price discovery.     

Does Corporate Governance Predict Future Performance? Evidence from Hong Kong

This study uses time‐series data to examine the relation between changes in the quality of corporate governance practices and subsequent market valuation among large listed companies in Hong Kong. The results indicate that firms that exhibit improvements in the quality of corporate governance display a subsequent increase in market valuation, whereas firms that exhibit deterioration in the quality of corporate governance practices tend to encounter a decline in market valuation. Additionally, the impact is greater for firms that are included in the MSCI index or with a China affiliation. The results provide evidence in support of the notion that good corporate governance can predict future market valuation.     

Does the Conditional CAPM Work? Evidence from the Istanbul Stock Exchange

Using a sample of common stocks traded on the Istanbul Stock Exchange from February 1997 to April 2008, we test whether the conditional capital asset pricing model (CAPM) accurately prices assets. In our empirical analysis, we closely follow the methodology introduced in Lewellen and Nagel (2006). Our results show that the conditional CAPM fares no better than the static counterpart in pricing assets. Although market betas do vary significantly over time, the intertemporal variation is not large enough to drive average conditional alphas to zero.     

Who Values Economist Forecasts? Evidence From Trading in Treasury Markets

While economic forecasting is ubiquitous within the industry, its role in the trading process has received little attention in the literature. We examine how economist forecasts are related to trading activity in the OTC treasury bond market at the participant level. Consistent with models of heterogeneous opinions, we show that the forecasting economists employing institution places a disproportionately large reliance on the forecast. There is pervasive evidence that this reliance is asymmetric. Only forecasts which imply a fall in future treasury bond prices are associated with an abnormal trading reaction consistent with the forecast. Reference dependence and loss aversion offer one possible explanation for this asymmetric trading response.     

Does Modern Information Technology Attenuate Managerial Information Hoarding? Evidence from the EDGAR Implementation

Exploiting the staggered implementation of the EDGAR system from 1993 to 1996 as exogenous shocks to information dissemination technologies, we document that faster dissemination of corporate disclosures through the internet increases firms' future stock price crash risk. These results are robust to alternative sample constructions, measures of crash risk, and fixed effects. Supplemental evidence suggests two channels: an increase in stock liquidity and an increase in investors' reliance on public disclosure, both of which exacerbate managers' incentives to withhold bad news. Overall, our findings suggest that modern information technology may have an unintended effect on managers' bad news hoarding behavior.     

Do Domestic Institutional Trades Exacerbate Information Asymmetry? Evidence from the Korean Stock Market

Asia-Pacific Financial Markets - We analyze a trading dataset from the Korean stock market, a representative and leading emerging equity market, to study the impact of domestic institutional trades...     

How Does Investor Sentiment Affect Stock Market Crises? Evidence from Panel Data

We test the impact of investor sentiment on a panel of international stock markets. Specifically, we examine the influence of investor sentiment on the probability of stock market crises. We find that investor sentiment increases the probability of occurrence of stock market crises within a one‐year horizon. The impact of investor sentiment on stock markets is more pronounced in countries that are culturally more prone to herd‐like behavior, overreaction and low institutional involvement.     

Do Capital Flows Matter to Stock and House Prices? Evidence from China

This article analyzes the impacts of foreign direct investment (FDI) and short-term capital flows, otherwise known as hot money, on stock and house prices in China. Empirical results, estimated using the local projections approach, reveal that a positive hot money net inflow shock significantly increases stock and house prices and the impacts persist for up to 1–2 months, while a positive FDI net inflow shock contributes significantly to lagged house price appreciation but has no effect on stock prices. This study also identifies negative pass-through effects of FDI net inflows on hot money net inflows and positive pass-through effects of stock prices on house prices.     

How Wise Are Crowds? Insights from Retail Orders and Stock Returns

We analyze the role of retail investors in stock pricing using a database uniquely suited for this purpose. The data allow us to address selection bias concerns and to separately examine aggressive (market) and passive (limit) orders. Both aggressive and passive net buying positively predict firms’ monthly stock returns with no evidence of return reversal. Only aggressive orders correctly predict firm news, including earnings surprises, suggesting they convey novel cash flow information. Only passive net buying follows negative returns, consistent with traders providing liquidity and benefiting from the reversal of transitory price movements. These actions contribute to market efficiency.     

Do Markets Care about Central Bank Governor Changes? Evidence from Emerging Markets

Based on a new daily data set for 20 emerging markets over the period 1992–2006, we examine the reactions of foreign exchange markets, domestic stock markets, and sovereign bond spreads to central bank governor changes. We find that the replacement of a central bank governor negatively affects financial markets on the announcement day, which is in line with the hypothesis that newly appointed central bank governors suffer from a systematic credibility problem at the beginning of their tenure. We also find some evidence that changes in perceived central bank independence affect markets.     

Does Informality Imply Segmentation in Urban Labor Markets? Evidence from Sectoral Transitions in Mexico

This article offers an alternative to the traditional dualisticview of the relationship between formal and informal labor markets.For many workers inefficiencies in formal sector protectionsand low levels of labor productivity may make informal sectoremployment a desirable alternative to formal sector employment.The analysis offers the first study of worker transitions betweensectors using detailed panel data from Mexico and finds littleevidence in favor of the dualistic view. Traditional earningsdifferentials cannot prove or disprove segmentation in the developing-countrycontext. The patterns of worker mobility do not suggest a rigidlabor market or one segmented along the formal/informal division.     

Does Residential Housing Crowd Out or Promote Households’ Stock Investment? Evidence from China

Limited participation in risky financial markets has long been a puzzle. Empirical evidence shows a strong relationship between housing and investment of risky financial assets, but with varying and conflicting results. We contribute to the literature by distinguishing housing for consumption and for investment, and by considering the role of housing price expectation when exploring households’ participation in stock markets. We find that home equity ratio and housing area play significant roles in households’ participation in stock markets. Households with higher home equity ratio or larger housing are less likely to own, and hold fewer stock assets if they do. We also find that the number of houses has a positive effect on stock investment for households with the same home equity ratio and housing size, which could be explained by credit rationing. Furthermore, housing price expectation has a negative effect on stock investment; this effect is larger for homeowners with multiple houses who are more likely to take houses for investment. Our results show insights into conflicting results of the relationship between real estate and stock investment.     

Does firm visibility matter to debtholders? Evidence from credit ratings

This paper investigates the role of a firm's information visibility in the assessment of its default risk. We use press coverage to proxy for firm visibility and find that highly visible firms generally have better credit ratings. The positive association between firm visibility and credit ratings arises because (1) press coverage facilitates the generation and dissemination of firm-specific information to market participants and (2) it disciplines the activities of managers and large shareholders. This positive association becomes stronger for firms with more severe information asymmetry or weaker alternative monitoring systems. Our findings contribute to the accounting literature by providing new evidence on the influence of firm visibility in the debt market.