How does trading volume affect financial return distributions?

We assess investors' reaction to new information arrivals in financial markets by examining the relationships between trading volume and the higher moments of returns in 18 international equity and currency markets. Our volume-volatility results support extant information theories and further contribute new evidence of cross market relations between volume and volatility. We also find that the direct impact of volume on the level of negative skewness is less significant for more diversified regional portfolios. Furthermore, the negative interaction between volume and kurtosis can be explained by the differences of opinion in financial markets. We observe stronger interdependence among higher moments in reaction to significant events, but the strength is dampened by trading volume. This result is consistent with trading volume being a source of heteroskedasticity in asset returns.     

Should smart investors buy funds with high past returns?

We fully characterize the equilibria in a gme between a fundmanager of unknown ability who control the riskiness of hisportfolio and investors who only observe realized returns. Wederive two types of equilibria. The first one is such that (i)investors invest in the fund if the realized return falls withinsome interval, i.e., is neither too low nor too high, (ii) agood manager picks a portfolio of minimal riskiness and (iii)a bad manager picks a portfolio with higher risk, "gambling"on a lucky outcome. The second type of equilibrium is more traditional:(i) investors invest in the fund if the observed return is largerthan some threshold, and (ii) good and bad managers choose thesame risk level.     

Do political factors affect stock returns during presidential elections?

This study investigates whether or not political factors such as government policy and political connections affected stock returns during the 2008 Taiwanese presidential election. We find that firms that benefitted from (were threatened by) the proposed Three-Links policy of the winning party experienced positive (negative) stock returns during the election. We use the sensitivities of firms’ returns to bilateral trade flows between Taiwan and China to measure the government-policy effect. Our results show that the effects of political connections weakly exist, but they become more significant when the support ratio of the winning party increased in polling data. We also find that only the government-policy effect holds for different crash-risk and corporate-governance levels. Finally, investment strategies based on both political factors can generate positive abnormal returns with respect to the Fama-French Three-factor Model.     

Which demands affect optimal international portfolio choices?

This study analyzes the asset allocations of simple international portfolios that include domestic risky assets, foreign risky assets, and domestic risk-free bonds, through a theoretical analysis. A close-form solution for the optimal holding rates is derived, and can be further sub-divided into three categories of demand: speculative demand, diversified demand, and hedging demands. We carefully explore the essential problem of identifying the underlying reasons for asset allocations, which in turn allows us to answer the question of which of these demands are critical in influencing holding changes.     

Does ETF trading affect the efficiency of the underlying index?

This study finds that both contemporaneous and lagged ETF trading volumes in both absolute and relative terms are significant contributors to the price efficiency of the underlying index. The variation in ETF shares outstanding is also positively associated with the index efficiency but it weakens the effect of ETF trading on the index efficiency. Moreover, the synthetic ETF price dominates the index in information share and the dominance increases in ETF trading. However, the relation between an individual ETF's information share and its trading volume varies, which is significantly positive for the leading ETF but ambiguous for other ETFs.     

Robust anomalies? A close look at accrual‐based trading strategy returns

The last 40 years have seen an extensive literature documenting so‐called anomalies in major capital markets. Evidence of ‘abnormal’ returns associated with trading strategies based on readily observable phenomena such as accounting‐based data involves experimental design choices that can be expected to influence the results. We show how evidence of an accrual anomaly in Australia is sensitive to research design specifications such as the choice of proxy for total accruals; the definition of abnormal returns (i.e. the return generating model); the impact of data trimming as a response to exceptionally large returns; and the choice between value and equal weighting of returns. We show that research design choices do matter and help reconcile conflicting prior evidence of any accrual anomaly in Australia. More broadly, our results suggest the need for caution in drawing inferences from trading strategy tests which claim to identify anomalies.     

Do bond rating changes affect the information asymmetry of stock trading?

Using a sample of 279 upgrades and 310 downgrades from 1996 to 2004, we find that bond rating changes affect the information asymmetry of stock trading and other measures of information risk. Specifically, when a firm's bond rating is upgraded, its stock information asymmetry and its analysts' earnings forecast dispersion are significantly reduced, while the institutional equity holdings of its shares are significantly increased. The reverse is true for a downgrade. In addition, the degree of change in stock information asymmetry is positively associated with the magnitude of the bond rating changes.     

Activity in futures: does underlying market size relate to futures trading volume?

This study investigates the determinants of trading volume in the futures markets and focuses on underlying market characteristics as an explanation for futures trading volume. Four major futures contracts traded on the Sydney Futures Exchange are investigated: the stock price index (SPI); the 90-day bank accepted bill (BAB); the 3-year bond; and the 10-year bond. An important outcome of this study is an identification of the fundamental drivers of trading volume in the futures markets, which have largely gone undocumented in prior research. We find evidence that futures trading volume is related to underlying market characteristics: the size of the Australian superannuation fund investments in equities (for the SPI), short term treasury notes (for the BAB), non-government bonds on issue (for the 3-year contract) and government bonds on issue (for the 10-year contract).     

Does volume help in predicting stock returns? An analysis of the Australian market

This paper presents an analysis of the relationship between trading volume and stock returns in the Australian market. We test this hypothesis by using data from a sample of firms listed on the Australian stock market for a period of 5 years from January 2001 to December 2005. We explore this relationship by focusing on the level of trading volume and thin trading in the market. Our results suggest that trading volume does seem to have some predictive power for high volume firms and in certain industries of the Australian market. However, for smaller firms, trading volume does not seem to have the same predictive power to explain stock returns in Australia.     

Does the weather have impacts on returns and trading activities in order-driven stock markets? Evidence from China

We study the association between weather-related mood factors and stock index returns in an order-driven market, the Shanghai Stock Exchange (SSE) of China. Our results indicate that asset returns are unaffected by changes in mood introduced by factors including the weather and the onset and recovery from SAD. In contrast, many of these variables are strongly correlated with a reduction in market turnover and liquidity, consistent with investor mood driving variations in market activity. Overall, we show that in an order-driven market, environmental impacts on sentiment are likely to affect trading activities, but not returns.     

Do voluntary corporate restrictions on insider trading eliminate informed insider trading?

We investigate whether voluntary corporate restrictions on insider trading effectively prevent insiders from exploiting their private information. Our results show that insiders of firms with seeming restrictions on insider trading continue to take advantage of positive private information while being more cautious when exploiting negative private information. The results suggest that insiders continue to exploit their informational advantages in a way that minimizes their legal risk. We also find that the degree of information asymmetry is significantly lower in firms with restriction policies and that corporate governance significantly affects firms' decisions to adopt these policies.     

How effective are trading pauses?

Exploiting Nasdaq order book data and difference-in-differences methodology, we identify the distinct effects of trading pause mechanisms introduced on US stock exchanges after May 2010. We show that the mere existence of such a regulation makes market participants behave differently in anticipation of a pause. Pauses enhance price discovery during the break but have adverse effects on price stability and liquidity after the pause. We find that pauses ultimately do not “cool off” markets but cause extra volatility. This implies a regulatory trade-off between the protective role of trading pauses and their adverse effects on market quality.     

Does cash flow predict returns?

In this paper, we propose the hypothesis that cash flow and cash flow volatility predict returns. We categorize firms listed on the New York Stock Exchange into sectors, and apply tests for both in-sample and out-of-sample predictability. While we find strong evidence that cash flow volatility predicts returns for all sectors, the evidence obtained when using cash flow as a predictor is relatively weak. Estimated profits and utility gains also suggest that it is cash flow volatility that is more relevant as a source of information than cash flow.     

Does investor recognition predict returns?

Merton [1987. A simple model of capital market equilibrium with incomplete information. Journal of Finance 42, 483–510] shows that stocks about which not all investors are informed should yield a return premium. This premium depends on the shadow cost of incomplete information which in turn depends on the shareholder base, relative market size, and idiosyncratic risk. Utilizing a comprehensive database of Swedish shareholdings, we demonstrate that stock returns are positively related to the shadow cost. We also find that the shareholder base is negatively related to returns when controlling for size and idiosyncratic risk. Zero-cost portfolios based on the shadow cost/shareholder base yield substantial trading profits that are never positively correlated with the market and are only modestly explained by the four-factor model.     

How does electronic trading affect efficiency of stock market and conditional volatility? Evidence from Toronto Stock Exchange

The present paper investigates informational efficiency and changes in conditional volatility of the TSX before and after the implementation of an automated trading system on April 23, 1997. Using a battery of unit root, stationarity, as well as linear tests, we find that the introduction of electronic trading led to an increase in linearity dependence in TSX daily returns. In addition, when we examined the nonlinearity dependences using powerful econometric tests, we find that electronic trading has increased nonlinear dependencies in return series, which is the main cause of rejecting the Random Walk Hypothesis (RWH). Our results suggest that the automated trading system has negatively affected informational efficiency of the TSX. We also find evidence of long memory following automation which suggests that the introduction of electronic trading has increased the level of persistence of information and trading shocks.     

How predictable are precious metal returns?

This paper provides strong evidence of time-varying return predictability of three precious metals from January 1987 to September 2014. We use three variations of the variance ratio test, the nonlinear Brock, Dechert and Schieinkman test as well as the Hurst exponent to evaluate the time-varying return predictability of precious metals to reduce the risk of spurious results. Our full sample results report mixed findings where some tests indicate significant predictability while some suggest no predictability. However through a time-varying procedure, we show that each precious metal market goes through periods of significant predictability as well as periods of unpredictability. Therefore this finding suggests that return predictability does vary over time and is not a static, all-or-nothing condition and therefore is consistent with the adaptive market hypothesis. We also show that platinum is the most predictable of the three precious metals and silver the least predictable, which may be of great to investors who include precious metals in their investment portfolios.     

What drives stock returns in Japan?

Financial Markets and Portfolio Management - We investigate systematic factors driving stock returns and stock return predictability in Japan. We find that dividend yield, cash-flow yield, and...     

Are corporate bond market returns predictable?

This paper examines the predictability of corporate bond returns using the transaction-based index data for the period from October 1, 2002 to December 31, 2010. We find evidence of significant serial and cross-serial dependence in daily investment-grade and high-yield bond returns. The serial dependence exhibits a complex nonlinear structure. Both investment-grade and high-yield bond returns can be predicted by past stock market returns in-sample and out-of-sample, and the predictive relation is much stronger between stocks and high-yield bonds. By contrast, there is little evidence that stock returns can be predicted by past bond returns. These findings are robust to various model specifications and test methods, and provide important implications for modeling the term structure of defaultable bonds.     

When does investor sentiment predict stock returns?

We examine the asymmetry in the predictive power of investor sentiment in the cross-section of stock returns across economic expansion and recession states. We test the implication of behavioral theories and evidence that the return predictability of sentiment should be most pronounced in an expansion state when investors' optimism increases. We segregate economic states according to the NBER business cycles and further implement a multivariate Markov-switching model to capture the unobservable dynamics of the changes in the economic regime. The evidence suggests that only in the expansion state does sentiment perform both in-sample and out-of-sample predictive power for the returns of portfolio formed on size, book-to-market equity ratio, dividend yield, earnings-to-price ratio, age, return volatility, asset tangibility, growth opportunities, and 11 widely documented anomalies. In a recession state, however, the predictive power of sentiment is generally insignificant.