Time series momentum and moving average trading rules

We compare and contrast time series momentum (TSMOM) and moving average (MA) trading rules so as to better understand the sources of their profitability. These rules are closely related; however, there are important differences. TSMOM signals occur at points that coincide with a MA direction change, whereas MA buy (sell) signals only require price to move above (below) a MA. Our empirical results show MA rules frequently give earlier signals leading to meaningful return gains. Both rules perform best outside of large stock series which may explain the puzzle of their popularity with investors, yet lack of supportive evidence in academic studies.     

Real exchange rates,asset prices and terms of trade: A theoretical analysis

This paper develops a continuous-time two-country dynamic equilibrium model, in which the real exchange rates, asset prices, and terms of trade are jointly determined in the presence of nontradable goods. The model determines the relation between the financial markets and real goods markets in the world economy and their responses to various shocks under the home bias assumption. A positive domestic supply shock induces a positive return on the domestic asset markets and a deterioration of terms of trade that improves the foreign output and boosts the foreign asset markets. Demand shocks act in the opposite way. This model also analyses the impact of change in the relative price of nontradable to tradable goods on the terms of trade and asset markets. A higher productivity growth in tradable goods than in nontradable goods leads to a higher relative price of nontradable to tradable goods, which appreciates the real exchange rate, deteriorates the terms of trade, and depresses the domestic and foreign asset markets. A lower relative price of nontradable goods depreciates the real exchange rate, improves the terms of trade, and lifts both the domestic and foreign asset markets.     

Commonality in liquidity: Evidence from the Stock Exchange of Thailand

This study examines commonality in liquidity of the Stock Exchange of Thailand (SET) using a limited order book data from 1996 to 2003. Strong evidence is found for market-wide commonality in liquidity, which prevails across several liquidity measurements. Industry-wide commonality is found to be stronger than market-wide commonality in liquidity. However, we do not find a market-wide correlated liquidity supply imbalance. There is evidence that indicates a fall in individual liquidity on Monday and after a day with a positive return.     

ETF arbitrage: Intraday evidence

We use two extremely liquid S&P 500 ETFs to analyze the prevailing trading conditions when mispricing allowing arbitrage opportunities is created. While these ETFs are not perfect substitutes, our correlation and error correction results suggest investors view them as close substitutes. Spreads increase just before arbitrage opportunities, consistent with a decrease in liquidity. Order imbalance increases as markets become more one-sided and spread changes become more volatile which suggests an increase in liquidity risk. The price deviations are followed by a tendency to quickly correct back towards parity.     

Liquidity commonality in commodities

We examine liquidity commonality in commodity futures markets. Using data from 16 agricultural, energy, industrial metal, precious metal, and livestock commodities, we show there is a strong systematic liquidity factor in commodities. Liquidity commonality was present in 1997–2003 when commodity prices were relatively stable and during the recent boom. There is some support for both “supply-side” and “demand-side” explanations for this commonality. We find no evidence of a consistent link between stock and commodity liquidity in general. Energy commodities appear to provide a better hedge against equity market liquidity risk than the other commodity families.     

Speed of convergence to market efficiency for NYSE-listed foreign stocks

This paper contributes to the cross-listing literature by documenting the speed of convergence to market efficiency for foreign stocks listed on the NYSE. We find that, on average, it takes 30–60 minutes for a foreign stock to achieve market efficiency. For a comparable US stock, it takes only 10–15 minutes. The significant difference between foreign and US stocks remains robust when the speed is measured by the number of transactions rather than in calendar time. After relevant firm characteristics are controlled for, the time that it takes for foreign stocks to reach efficiency is significantly negatively related to the quality of their home country institutions. We find that one possible channel through which institutions affect the speed is through their impact on information asymmetry.     

Information asymmetry in warrants and their underlying stocks on the stock exchange of Thailand

This paper examines the informational role of warrants based on the unique order data from the Stock Exchange of Thailand, where both warrants and stocks are traded under the same market structure and where warrants are as liquid as stocks. The estimated probability of informed trading (PIN) in warrants is found to be statistically higher than their underlying stocks regardless of order submission type and order size. The PIN explains a substantial portion of the cross-sectional variation in the opening spread beyond trading volume and minimum tick size. We find evidence that a signed warrant trade contains information about the future stock price and that warrants with a higher PIN have greater predictive powers.     

Sell the rumour,buy the fact?

We document a high‐profile instance of mispricing that is puzzling given the gradual information diffusion hypothesis and the lack of obvious limits to arbitrage. An internet search in 2008 led to a story about United Airlines’ 2002 bankruptcy being re‐released as ‘news’. This resulted in United Airlines losing 73 per cent of its value and caused a $4.2 billion decline in the value of airline stocks and United Airlines suppliers. The incorrect bankruptcy ‘news’ was quickly retracted, which led to a rebound in other airline and supplier firms, but the stock price of United Airlines was adversely affected for 4 days.     

A Note on Intraday Event Studies

Abstract

We investigate the specification and power of intraday event study test statistics. Mean, market, and matched firm models generate well-specified return results for a range of intervals up to 60?min around the event. These models detect return shocks equivalent to one spread in one-minute interval data and three spreads in longer intervals. Researchers using intraday return event studies can, therefore, be confident in their robustness. Some volume event study approaches have reasonable power but they are not generally well specified, while a matched-firm approach gives the best combination of specification and power for spread event studies.     

The Halloween Effect in U.S. Sectors

U.S. stock market sectors and industries perform better during winter than summer from 1926 to 2006. In more than two-thirds of sectors and industries, the difference in summer and winter returns, known as the Halloween effect, is statistically significant. There are, however, large differences across sectors and industries. The effect is almost absent in sectors related to consumer consumption but is strong in production sectors. We find that neither liquidity changes nor well-known risk factors can explain the anomaly. We illustrate how the differences between sectors and industries can improve the risk-return tradeoff using sector rotation.