A reality check on technical trading rule profits in the U.S. futures markets

This article investigates the profitability of technical trading rules in U.S. futures markets during the years 1985–2004. Statistical significance of performance across the trading rules is evaluated using White's Bootstrap Reality Check and Hansen's Superior Predictive Ability tests, which can directly measure the effect of data snooping by testing the performance of the best rule in the context of the full universe of technical trading rules. Results show that the best rules generate statistically significant economic profits for only two of 17 futures markets after correcting for data snooping biases. This evidence suggests that technical trading rules generally have not been profitable in the U.S. futures markets. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:633–659, 2010     

Half-day trading and spillovers

This paper investigates the linkage of returns and volatilities between the United States and Chinese stock markets from January 2010 to March 2020. We use the dynamic conditional correlation (DCC) and asymmetric Baba–Engle–Kraft–Kroner (BEKK) GARCH models to calculate the time-varying correlations of these two markets and examine the return and volatility spillover effects between these two markets. The empirical results show that there are only unidirectional return spillovers from the U.S. stock market to the Chinese stock market. The U.S. stock market has a consistently positive spillover to China’s next day’s morning trading, but its impact on China’s next day’s afternoon trading appears to be insignificant. This finding implies that information in the U.S. stock market impacts the performance of the Chinese stock market differently in distinct semi-day trading. Moreover, with respect to the volatility, there are significant bidirectional spillover effects between these two markets.     

Simple technical trading rules of stock returns: evidence from 1987 to 1998 in Chile

This paper tests two of the simplest and most popular trading rules — moving average and trading range break-out — in the Chilean stock market. Overall, our results are similar to the ones of Brock et al. (1992), providing strong support for the technical strategies. In fact, buy signals consistently generate higher returns than sell signals. Moreover, returns following sell signals are negative, which is not easily explained by any of the currently existing equilibrium models. However, we do not observe any difference regarding the risk for the signs of buys and sells, a result explained by the fact that the Chilean stock market is highly concentrated and illiquid.     

Informed options trading on the implied volatility surface: A cross-sectional approach

This study investigates the cross-sectional implication of informed options trading across different strikes and maturities. We explore the term structure perspective of the one-way information transmission from options markets to stock markets by adopting well-known option-implied volatility measures to examine stock return predictability. Using equity options data for U.S. listed stocks spanning 2000–2013, we find that the shape of the long-term implied volatility curve exhibits extra predictive power for stock returns of subsequent months even after orthogonalizing the short-term components. Our findings indicate that the inter-market information asymmetry rapidly disappears before the expiration of long-term option contracts.     

Corporate usage of financial derivatives,information asymmetry,and insider trading

This article investigates whether financial derivative usage by Australian corporations constitutes information asymmetry when proxied by profitable trading in the firms' securities by insiders. The findings show that insiders who trade in companies that employ derivatives make larger purchase returns compared to insiders in nonuser firms with regard to trading identity, trading intensity, variability of usage, volume of trading, and industry effects. A plausible explanation is that asymmetry is driven by derivative traders who undertake noisy transactions in firms where risk outcomes were previously transparent. Excess returns are confined to purchase transactions consistent with insiders primarily selling for noninformation reasons. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:25–47, 2010     

Abnormal trading volume and autoregressive behavior in weekly stock returns in the Saudi stock market

This paper examines the relationship between the abnormal change in trading volume of both individual stocks and portfolios and short-term price autoregressive behavior in the Saudi stock market (SSM). Our objective is to investigate the informational role that trading volume plays in predicting the direction of short-term returns. We evaluate whether the abnormal change in lagged, contemporaneous, and lead turnovers affects serial correlation in returns. Specifically, we examine if and when the change in volume produces momentum (positive correlation) or reversal (negative autocorrelation) in consecutive weekly stock returns.We find a reversal in weekly stock returns when conditioned on the change in lagged volume in the SSM. Our results are consistent for the whole sample, the two sub-sample periods, and the large- and small-firm portfolios. The results are consistent with Campbell, Grossman, and Wang [Campbell, J. Y., S. J. Grossman, and J. Wang, 1993, Trading volume and serial correlation in stock returns, Quarterly Journal of Economics, 108, 905–939], who present a model in which risk-averse market makers accommodate the selling pressure of liquidity or non-informational traders. We also find that reversal is more pronounced with the loser portfolio as specified by filter-based methodology. The overall result of this paper is also consistent with the empirical findings of Conrad, Hameed, and Niden [Conrad, J., A. Hameed, and C. Niden, 1994, Volume and autocovariances in short-horizon individual security returns, Journal of Finance 49, 1305–1329.] and Gebka [Gebka, B., 2005, Dynamic volume-return relationship: evidence from an emerging market, Applied Financial Economics, 15, 1019–1029] in which they report price reversal for stock with high trading volume.     

Volatility,global information,and market conditions: a study in futures markets

This study examined the behavior of return volatility in relation to the timing of information flow under different market conditions influenced by trading volume and market depth. We emphasized information flow during trading and nontrading periods that may represent domestic and offshore information in the global trading of currencies. Test results show that volatility was negatively related to market depth; that is, deeper markets had relatively less return volatility. Additionally, the effect that market depth had on volatility was superseded by information within trading volume. Test results focusing on the timing of information flow reveal that in low‐volume markets, the volatility of nontrading‐period returns exceeded the volatility of trading‐period returns. However, when trading volume was high, this pattern was reversed and conformed to the observations of earlier articles. Our findings proved to be robust across time, different currency markets, and different measures of return volatility. We also observed a trend toward greater integration between foreign and U.S. financial markets; the U.S. market increasingly emphasized information from nontrading periods to supplement information arriving during trading periods. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:173–196, 2001     

Information content of extended trading for index futures

The recent extension of trading hours for Hang Seng Index Futures provides an opportunity to examine whether extended futures trading contains useful information about spot returns. Using the weighted price contribution measure, we find that pre‐open futures trades are associated with significant price discovery. We extend the model from T. Hiraki, E. D. Maberly, and N. Takezawa (1995) and adjust for the existence of a pre‐open trading session and the overnight trading of cross‐listed shares in London. Our results indicate that extended trading for index futures contains useful information in explaining subsequent spot returns during the trading day. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:861–886, 2004     

The interaction between foreigners' trading and emerging stock returns: Evidence from Turkey

Using monthly foreign flows data on Istanbul Stock Exchange (ISE) and employing a structural VAR model, we analyze the interaction between foreigners' trading and emerging stock returns. In contrast to most of the available theory and repeated previous findings on other markets, foreign investors negative-feedback-trade with respect to past local returns in ISE, however only in rising markets and especially under macroeconomic instability. Net foreign flows forecast future market returns, but not individual stock returns. Price impacts are permanent, suggesting that foreigners' trading incorporates information. Overall, results reject previous conclusions that foreigners are uninformed positive feedback traders: rather, they are a heterogeneous group dominated by sophisticated investors able to rationally adjust their trading style in line with the market's prevailing characteristics.     

Transactions data tests of efficiency: An investigation in the Singapore futures markets

The aim of this article is to test the profitability of technical trading rules in the intra‐day currency futures market. A wide range of technical strategies are applied to tick data over a two‐year period for two currency futures—Japanese Yen (JY) and Deutschemark (DM)—traded in the Singapore International Monetary Exchange. The study finds that after incorporating transactions costs and testing for the significance of the profits using a bootstrap methodology, none of the technical trading systems produce significant returns. © 2000 John Wiley & Sons, Inc. Jrl Fut Mark 20:687–704, 2000     

Economic uncertainty,trading activity,and commodity futures volatility

This paper investigates the dynamics of commodity futures volatility. I derive the variance decomposition for the futures basis and show unexpected excess returns result from new information about expected future interest rates, convenience yields, and risk premia. Measures of uncertainty in economic conditions have significant predictive power for realized volatility of commodity futures returns, after controlling for lagged volatility, returns, commodity index trading, hedging pressure, and other trading activity, even during the so-called “index financialization” period. During this period, hedge fund performance predicts volatility in grain commodities, which are affected by the US ethanol mandate.     

A transaction level study of the effects of central bank intervention on exchange rates

We study the effects of sterilised intervention operations executed on behalf of the Swiss National Bank (SNB) using tick-by-tick transactions data between 1986 and 1995. We extend the preliminary analysis of [Economic Journal 109 (1999) 662] by matching these data with indicative intra-day exchange rate quotes and news-wire reports of central bank activity. Using an event study approach we find that intervention has important short-run effects on exchange rate returns. In particular, among various results, we find that i) intervention has a stronger impact when the SNB moves with-the-market and when its activity is concerted with that of other central banks and ii) exchange rate returns move in the 15 min interval prior to interventions.     

Predicting default probabilities and implementing trading strategies for emerging markets bond portfolios

In this paper, we address two main issues: the computation of default probability implicit in emerging markets bond prices and the impact on portfolio risks and returns of expected changes in default probability. Using a reduced-form model, weekly estimates of default probabilities for U.S. Dollar denominated Global bonds of 12 emerging markets are extrapolated for the sample period 1997–2001. The estimation of a logit type econometric model shows that weekly changes of the default probabilities can be explained by means of some capital markets factors. Recursively estimating the logit model using rolling windows of data, out-of-sample forecasts for the dynamics of default probabilities are generated and used to form portfolios of bonds. The practical application provides interesting results, both in terms of testing the ability of a naive trading strategy based on model forecasts to outperform a “customized benchmark”, and in terms of the model ability to actively manage the portfolio risk (evaluated in terms of VaR) with respect to a constant proportion allocation.     

Commodity futures trading performance using neural network models versus ARIMA models

Neural networks trading returns are compared out-of-sample with traditional ARIMA returns for corn, silver, and deutsche mark. Results show that neural network and ARIMA models had positive returns, and at about the same levels. However, deutsche mark was less profitable and returns were not statistically different from zero, in contrast to corn and silver. © 1998 John Wiley & Sons, Inc. Jrl Fut Mark 18: 965–983, 1998     

The effect of futures trading on the distribution of spot index returns: Implications for CVaR in the Spanish market

There is extensive empirical research on the potential destabilizing effects of futures trading activity on spot market volatility. Rather than just focusing on spot volatility, the authors deal with the contemporaneous relationship between futures trading volume and the overall probability distribution of spot market returns. Empirical evidence using intraday data from the Spanish stock index futures market over the period 2000–2002 is provided. Their findings reveal that the density function of spot return conditional to spot volume depends on unexpected futures trading volume.     

The interrelation of price volatility and trading volume of currency options

This article examines the interrelations between future volatility of the U.S. dollar/British pound exchange rate and trading volume of currency options for the British pound. The future volatility of the exchange rate is approximated alternatively by implied volatility and by IGARCH volatility. The results suggest the presence of strong contemporaneous positive feedbacks between the exchange rate volatility and the trading volume of call and put options. Previous option volumes have significant predictive power with respect to the expected future volatility of the dollar/pound exchange rate. Similarly, lagged volatilities jointly have significant predictive power for option volume. Although option volume (volatility) responds somewhat differently to individual volatility (volume) terms under the two volatility measures, the overall volume‐volatility relations are broadly similar between the implied and IGARCH volatilities. The results generally support the hypothesis that the information‐based trading explains more of the trading volume in currency options on the U.S. dollar/British pound exchange rate than hedging. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:681–700, 2003     

Technical Analysis Profitability Without Data Snooping Bias: Evidence from Chinese Stock Market

We perform a comprehensive analysis on the profitability of a large number of technical analysis based trading rules in Chinese stock market. To counter data snooping bias, we employ a stepwise superior predictive ability test to identify genuinely profitable trading rules among more than 28,000 technical signals. Using 19 years of daily data on Chinese aggregate stock market return, we find substantial evidence on the profitability of technical trading rules measured by either the market timing ability or Sharpe ratio gain. Our results on the profitability of technical rules hold during different subperiods and remain valid under the presence of transaction costs.     

Information asymmetry and investor trading behavior around bond rating change announcements

This study examines stock market reactions to public announcements (corporate bond rating changes), including changes in stock prices and investor behavior in terms of trading volumes and patterns. Abnormal returns, abnormal volumes, and net order imbalances are estimated using high-quality stock transaction data from Korean firms, whose bonds were rated by Korea's leading credit rating agencies between 2000 and 2015. We find positive (negative) abnormal stock returns around upgrades (downgrades), although the stock price reactions to downgrades are more statistically significant than those to upgrades. Significant abnormal volumes and order imbalances are found around rating changes, and the extent to which each investor group (domestic individuals, domestic institutions, or foreign investors) reacts to a rating change varies. Our analyses also support that foreign and domestic institutional investors are better informed than individual investors.     

Decomposing the U.S. external returns differential

We decompose the returns differential between U.S. portfolio claims and liabilities into the composition, return, and timing effects. Our most striking and robust finding is that foreigners exhibit poor timing when reallocating between bonds and equities within their U.S. portfolios. The poor timing of foreign investors-caused primarily by deliberate trading, not a lack of portfolio rebalancing-contributes positively to the U.S. external returns differential. We find no evidence that the poor timing is driven by mechanical reserve accumulation by emerging market countries; rather, it is driven almost entirely by the poor timing of rich, developed (mainly European) countries. Finally, while poor foreign timing appears to be persistent across subsamples, other terms in our decomposition (the composition and return effects and U.S. timing abroad), as well as the overall differential, are sometimes negative, sometimes positive, and usually indistinguishable from zero.     

A New Perspective on Returns to Scale for Truckload Motor Carriers

Understanding how motor carriers' size affects their productivity (e.g., miles per power unit) is of fundamental importance to carrier managers, shippers, and investors, because the nature of this relationship should influence carriers' strategies with regard to growth. In the truckload (TL) sector, the prevailing assumption is that TL carriers face constant returns to scale such that productivity differs little between large and small carriers. While empirical findings from several studies conducted since deregulation are consistent with this assumption, we contend that the true relationship between carrier size and productivity is more nuanced and is contingent on carriers' level of technical efficiency. Specifically, we develop and test middle range theory that predicts increasing returns to scale for carriers with low technical efficiency, constant returns to scale for carriers with average technical efficiency, and decreasing returns to scale for carriers with high technical efficiency. We test our theory by estimating production functions using quantile regression for data collected from the U.S. Department of Transportation for 1,068 TL carriers. Results from our analyses corroborate our predictions. Our findings hold valuable implications for the logistics literature as well as TL carrier management, shippers, and other industry stakeholders.