The effect of the summer doldrums on the market reaction to earnings announcements

Hong and Yu (2009) document a significant decrease in trading volume and returns during the summer months. Given the tendency of noise traders to buy shares following both positive and negative earnings surprises (Lee, 1992), we hypothesize that reduced trading activity by noise-traders results in less of an earnings announcement premium during the summer. Consistent with our hypothesis, we find lower abnormal returns surrounding summer earnings announcements compared to non-summer announcements. We also find lower abnormal returns in the ten days prior to the announcement, consistent with less front-running by sophisticated investors. Finally, we show that these summer effects are stronger in recent years characterized by more online trading and greater noise trader participation.     

Asset Price Dynamics and Infrequent Feedback Trades

This article combines the continuous arrival of information with the infrequency of trades, and investigates the effects on asset price dynamics of positive and negative-feedback trading. Specifically, we model an economy where stocks and bonds are traded by two types of agents: speculators who maximize expected utility, and feedback traders who mechanically respond to price changes and infrequently submit market orders. We show that positive-feedback strategies increase the volatility of stock returns, and the response of stock prices to dividend news. Conversely, the presence of negative-feedback traders makes stock returns less volatile, and prices less responsive to dividends.     

Are margin traders informed?

The literature offers contradictory views on the informativeness of margin trading using various measures of information content. Utilising data from a Chinese margin‐trading pilot programme initiated in 2010, this paper investigates whether margin traders are informed by directly examining the return predictability of margin‐trading activity. We find that margin‐trading activities cannot positively predict future stock returns. Moreover, we explore some non‐informational trading strategies used by margin traders, e.g., positive‐feedback strategies and moving‐average trading rules. These results suggest that margin traders are noise traders rather than informed traders, and margin trading conveys no new firm‐specific information.     

The effect of sequential information releases on trading volume and price behaviour

This paper examines a two-period setting in which each trader receives a private signal, possibly different, in each period before he trades. The principal objectives are threefold. First, we describe the risky asset demands and price reactions in a noisy rational expectations equilibrium where the time 1 average private signal is not revealed by the price sequence but the time 2 average private signal is. Secondly, we analyse how informed trading volume is affected by the revealed information and supply shocks when pure noise trading volume is uncorrected with observable market variables. Our result indicates that no trade occurs for informed traders when net supply remains fixed across rounds of trade. And, when supply shocks are random, trading volume is induced by the informed and the noise traders, but noise trading is not predictable. Finally, we investigate these properties in the case when pure noise trading volume is correlated with observable market variables. It is shown that no informed trading takes place when there is no supply shock. However, when net supply contains random shocks, trading volume consists of noise and informed trading, both of which can be estimated.     

INFORMATION ASYMMETRY AND OPTIONS TRADING

This paper demonstrates that options trading does not have a uniform impact on the volatility of underlying stocks. Although uninformed traders are able to hedge the risk of underlying stocks by maintaining opposite positions in the options market, informed traders hold outright options positions to capitalize on their information. This hedging behavior tends to reduce noise in the stock market, whereas the speculating behavior tends to generate noise in the stock market. As a result, stocks that were originally volatile, i.e., traded primarily by uninformed traders, will be stabilized by the introduction of options. Conversely, stocks that were more stable become destabilized by options trading.     

Glued to the TV: Distracted Noise Traders and Stock Market Liquidity

In this paper, we study the impact of noise traders’ limited attention on financial markets. Specifically, we exploit episodes of sensational news (exogenous to the market) that distract noise traders. We find that on “distraction days,” trading activity, liquidity, and volatility decrease, and prices reverse less among stocks owned predominantly by noise traders. These outcomes contrast sharply with those due to the inattention of informed speculators and market makers, and are consistent with noise traders mitigating adverse selection risk. We discuss the evolution of these outcomes over time and the role of technological changes.     

The pricing and performance of leveraged exchange-traded funds

Leveraged ETFs are a recent and very successful financial innovation. They provide daily returns that are in a multiple or a negative multiple of the daily returns on a market benchmark. In this paper, we examine the characteristics, trading statistics, pricing efficiency and tracking errors of a sample of leveraged ETFs. We find that these ETFs are traded mainly by retail traders with very short holding periods. Price deviations (from NAV) are small on average, but large premiums and discounts are prone to occur. More interestingly, the behavior of premiums is different between bull (i.e., those with a positive multiple) and bear ETFs (i.e., those with a negative multiple). Our findings are consistent with the argument that the end-of-day rebalancing of the funds’ exposures increases market volatility at the close of a trading day. As for tracking errors, they are small for holding periods of up to a week, but become increasingly larger for longer horizons.     

Odd lot trading and earnings announcements

This study investigates odd lot trading, both trades and orders, around quarterly earnings announcements to determine whether odd lot traders are informed regarding the information contained in earnings announcements. We find pre-announcement odd lot order imbalances are not positively correlated with post-announcement returns and odd lot traders do not earn excess returns. Portfolios long stocks highly bought by odd lot traders in the pre-announcement period and short stocks highly sold by odd lot traders do not outperform the market. We conclude that odd lot traders are not in possession of earnings announcement information prior to its release to the public.     

The determinants of quantile autocorrelations: Evidence from the UK

We empirically analyse the cross-sectional determinants of stock return autocorrelations in the UK in different quantiles of conditional return distributions. Autocorrelations in low quantiles are predominantly positive, whereas those in the remaining quantiles are negative. Autocorrelations in different quantiles depend on different sets of firm and trading characteristics: when returns are normal or high, prices react quickly to information, are driven by positive feedback traders, instantaneous news arrivals, and overshoot, trades are predominantly motivated by hedging/liquidity needs, and measured autocorrelations can be biassed by the bid–ask bounce effect and nonsynchronous trading. However, when returns are unusually low, prices are driven by information arriving sequentially and react sluggishly to it, and are influenced by trading on private information and/or negative feedback traders.     

Consumption correlatedness and risk measurement in economies with non-traded assets and heterogeneous information

A technique is presented for deriving equilibrium models of asset risk premia in continuous time models which does not require the complete solution of a consumer's continuous time stochastic control problem. The technique is used to show that even if traders have heterogeneous information about asset returns and/or there are non-traded assets, then the risk premium of a traded asset is determined by the covariance between the asset's return and the rate of change in per capita consumption. We only require the assumption that traders' consumptions and traded asset values form an Ito process.