Implications of Transaction Costs for the Post–Earnings Announcement Drift

This paper examines the effect of transaction costs on the post–earnings announcement drift (PEAD). Using standard market microstructure features we show that transaction costs constrain the informed trades that are necessary to incorporate earnings information into price. This implies weaker return responses at the time of the earnings announcement and higher subsequent returns drift for firms with higher transaction costs. Consistent with this prediction, we find that earnings response coefficients are lower for firms with higher transaction costs. Using portfolio analyses, we find that the profits of implementing the PEAD trading strategy are significantly reduced by transaction costs. In addition, we show, using a combination of portfolio and regression analyses, that firms with higher transaction costs are the ones that provide the higher abnormal returns for the PEAD strategy. Our results indicate that transaction costs can provide an explanation not only for the persistence but also for the existence of PEAD.     

Commodities momentum: A behavioral perspective

The growth in commodity-related investments has sparked interest in the performance of momentum strategies in these markets. This paper introduces a behavioral proxy of the 52-week high and low momentum that explains a significant proportion of the variation of conventional momentum returns after controlling for commodity specific risk factors. Our findings show that the 52-week high strategy generates significant profits after accounting for transaction costs. We report that the 52-week high strategy is a better predictor of returns than conventional momentum. Our findings suggest that term structure and hedging pressure risk factors provide only a partial explanation of the results.     

Google searches and stock returns

We investigate whether data from Google Trends can be used to forecast stock returns. Previous studies have found that high Google search volumes predict high returns for the first one to two weeks, with subsequent price reversal. By using a more recent dataset that covers the period from 2008 to 2013 we find that high Google search volumes lead to negative returns. We also examine a trading strategy based on selling stocks with high Google search volumes and buying stocks with infrequent Google searches. This strategy is profitable when the transaction cost is not taken into account but is not profitable if we take into account transaction costs.     

Trading strategies based on past returns: evidence from Germany

Among the various strategies studied in this paper, only momentum investing appears to earn persistently nonzero returns: From 1965 to 2014, the classical momentum strategy based on performance over the previous 2–12 months earned an average return of 1.57% per month (excluding microcap stocks and value-weighted returns). In the most recent 10-year period, this return was even larger—2.27%—which is much larger than in the USA. However, profitability net of transaction costs is weak because the strategy involves trading in disproportionately small stocks with high transaction costs, something that is particularly true for the loser portfolio. A strategy that concentrates only on the winner portfolio and thus avoids potential problems associated with (short) selling the costly loser portfolio appears to earn strong and persistently abnormal profits, even after transaction costs.     

The effect of option transaction costs on informed trading in the options market around earnings announcements

We investigate the effect of option market transaction costs (a form of market imperfection) on the ability of option implied volatility-based measures to predict future stock returns and volatility around quarterly earnings announcements. We find that the predictability is significantly stronger for firms with lower option relative bid-ask spreads. The effect is more pronounced around positive rather than negative earnings news. We find no significant effect of option transaction costs around randomly chosen dates when there is no clustering of major information events. Trading strategies based on option market predictors and transaction costs earn monthly abnormal returns of 1.39% to 1.91%.     

On the Use of Multifactor Models to Evaluate Mutual Fund Performance

We show that multifactor performance estimates for mutual funds suffer from systematic biases and argue that these biases are a result of miscalculating the factor premiums. Because the factor proxies are based on hypothetical stock portfolios and do not incorporate transaction costs, trade impact, and trading restrictions, the factor premiums are either over- or underestimated. We argue that factor proxies based on mutual fund returns rather than on stock returns provide better benchmarks to evaluate professional money managers.     

Optimal transaction filters under transitory trading opportunities: Theory and empirical illustration

If transitory profitable trading opportunities exist, transaction filters mitigate trading costs. We use a dynamic programming framework to design an optimal filter that maximizes after-cost expected returns. The filter size depends crucially on the degree of persistence of trading opportunities, transaction cost, and standard deviation of shocks. For daily dollar–yen exchange trading, the optimal filter can be economically significantly different from a naïve filter equal to the transaction cost. The candidate trading strategies generate positive returns that disappear after transaction costs. However, when the optimal filter is used, returns after costs remain positive and higher than for naïve filters.     

Stock returns forecasting with metals: sentiment vs. fundamentals

Using six prominent metal commodities, we provide evidence on the out-of-sample forecasting of stock returns for the market indices of the G7 countries, for which there is little prior evidence in this context. We find precious metals (gold and silver) can improve forecast accuracy relative to the benchmark and performs well compared to forecast combinations. From an economic gains perspective, forecasting returns provides certainty equivalent gains in a market timing strategy for the G7 countries. These certainty equivalent gains are large enough to make active portfolio management attractive, even for individual investors. Gains remain after considering reasonable transaction costs.     

Pairs trading in the UK equity market: risk and return

In this paper, we provide the first comprehensive UK evidence on the profitability of the pairs trading strategy. Evidence suggests that the strategy performs well in crisis periods, so we control for both risk and liquidity to assess performance. To evaluate the effect of market frictions on the strategy, we use several estimates of transaction costs. We also present evidence on the performance of the strategy in different economic and market states. Our results show that pairs trading portfolios typically have little exposure to known equity risk factors such as market, size, value, momentum and reversal. However, a model controlling for risk and liquidity explains a far larger proportion of returns. Incorporating different assumptions about bid-ask spreads leads to reductions in performance estimates. When we allow for time-varying risk exposures, conditioned on the contemporaneous equity market return, risk-adjusted returns are generally not significantly different from zero.     

The Economic Significance of the Cross-Sectional Autoregressive Model: Further Analysis

We reexamine whether investors can gain abnormal returns using the cross-sectional autoregressive model of stock returns. We find that the pattern of abnormal returns obtained is inconsistent over the time period 1934–94. We adjust for the higher commission costs in the pre-May 1 1975 period, a point overlooked in Jegadeesh (1990), by assuming a conservative one-way transaction cost of 0.75%. For the post-May 1 1975 period, we use a one-way transaction cost of 0.25%. The results show that investors who invest only on the long side would earn insignificant 'after-transaction cost' abnormal returns in the post-World War II period, 1946–94. The 'after-transaction cost' abnormal return from the short strategy is about 0.5% for the period 1946–94. This article shows that an investor would not earn abnormal returns using this model considering that it is more costly in practice to sell securities short and that most investors would not earn interest on short sale proceeds.     

Predictability and Persistence of the Price Movements of the S&P/Case-Shiller House Price Indices

This paper examines persistence in price movements and predictability of the US housing market both on a local level across 20 cities in the US and on a nationwide level. We use a time series approach instead of often applied multivariate approaches to exclude potential biases across local markets and provide trading strategies to compare predictability across markets and to test whether or not the detected persistence can be exploited by investors to earn excess returns. The results from the monthly and quarterly transaction-based S&P/Case-Shiller house price indices from 1987 to 2009 provide empirical evidence on strong persistence. This is confirmed by both parametric and non-parametric tests for nominal and real house prices based on expected inflation. Furthermore, the empirical findings suggest that investors might be able to obtain excess returns from both autocorrelation-based and moving average-based trading strategies compared to a buy-and-hold strategy, although the results depend on the transaction costs individual investors face.     

An empirical analysis of intertemporal asset pricing models with transaction costs and habit persistence

In intertemporal asset pricing models, transaction costs are usually neglected. In this paper we explicitly incorporate transaction costs in these models and analyze to what extent this extension is helpful in explaining the cross-section of expected returns. An empirical analysis using CRSP data on size-based portfolios examines the role of the transaction costs and shows that incorporating such costs in the consumption-based model with power utility does not yield very satisfactory results. However, the introduction of habit persistence substantially improves the model. We find rather strong evidence of habit persistence in monthly consumption data. The plots of the models' pricing errors indicate that an intertemporal asset pricing model with transaction costs and habit persistence explains the cross-sectional variation in the portfolio returns quite accurately.     

The intra-day performance of market timing strategies and trading systems based on Japanese candlesticks

Abstract

We develop market timing strategies and trading systems to test the intra-day predictive power of Japanese candlesticks at the 5-minute interval on the 30 constituents of the DJIA index. Around a third of the candlestick rules outperform the buy-and-hold strategy at the conservative Bonferroni level. After adjusting for trading costs, however, just a few rules remain profitable. When we correct for data snooping by applying the SSPA test on double-or-out market timing strategies, no single candlestick rule beats the buy-and-hold strategy after transaction costs. We also design fully automated trading systems by combining the best-performing candlestick rules. No evidence of out-performance is found after transaction costs. Although Japanese candlesticks can somewhat predict intra-day returns on large US caps, we show that such predictive power is too limited for active portfolio management to outperform the buy-and-hold strategy when luck, risk, and trading costs are correctly measured.     

The Predictability of Equity REIT Returns: Time Variation and Economic Significance

This article presents evidence on predictability of excess returns for equity REITs relative to the aggregate stock market, small-capitalization stocks, and T-bills using best-fit models from prior time periods. We find that excess equity REIT returns are far less predictable out-of-sample than in-sample. This inability to forecast out-of-sample is particularly true in the 1990s. Nevertheless, in the absence of transaction costs, active-trading strategies based on out-of-sample predictions modestly outperform REIT buy-and-hold strategies. However, when transaction costs are introduced, profits from these active-trading strategies largely disappear.     

Density estimation through quasi-analytic Monte-Carlo simulation: Options arbitrage with transactions costs

Discretely rebalanced options arbitrage strategies in the presence of transaction costs have path dependent returns that are difficult to model analytically. I instead use a quasi-analytic procedure that combines the computational efficiency of analytical solutions with the flexibility of simulations. The central feature is the estimation of the distribution of returns of the arbitrage strategy by mapping simulated returns percentiles and the input parameter set. Using the estimated density, I evaluate the tradeoff between transaction costs and risk exposure under generalized transaction costs structures that includes bid-ask spread and brokerage commission. I show that the optimal strategy depends on transaction costs, volatility, and option moneyness. Strategies such as rebalancing when the hedge ratio changes by 0.25, balances transaction costs and risk exposure, and can be optimal.

Odd‐lot Costs and Taxation Influences on Stock Dividend Ex‐dates

Abstract:   Past research has revealed significant abnormal ex‐date returns for stock dividends even though the ex‐date is known in advance and the distribution contains no new information. Various researchers have suggested that the higher transaction cost of selling odd‐lot share parcels compared to round‐lot share parcels is a key driver in the abnormal returns. However, no study to date has directly compared the ex‐date price reaction of stock dividends distributed when odd‐lot transaction costs were charged to those issued when odd‐lot costs were not evident. As odd‐lot trade costs were eliminated from the New Zealand Stock Exchange on 1 October, 1991, the New Zealand market provides a unique opportunity to directly test the role, if any, that odd‐lot transactions costs have in explaining stock dividend ex‐date returns. We find that prior to October 1991 stock dividend ex‐dates exhibit significantly positive returns, however, we do not find any significant ex‐date return once the higher odd‐lot transaction costs were removed. The New Zealand market also enables us to examine an imputation tax based argument of the ex‐date price reaction and we find evidence that imputation tax credits have a value greater than zero.     

Empirical tests of efficiency of the Italian index options market

The purpose of this paper is to investigate whether the Italian index option contract (MIBO30), recently introduced in the Italian Derivatives Market (IDEM), is efficient. Two different methods are used in the analysis. First, we tested on the Italian index option market the validity of the put–call parity conditions, extended to account of transaction costs associated with replicating and establishing a short hedge on the index. We find that the significant deviations from put–call parity are not exploitable when all transaction costs are accounted for. Since the put–call parity is just a weak test for market efficiency, we further investigate the possibility to generate profitable positions through the simulation of an ex-post volatility hedging strategy. This strategy does not allow for systematic abnormal returns, supporting the hypothesis that option prices are consistent with market efficiency.     

A good pair: alternative pairs-trading strategies

This paper studies alternative techniques for identifying stock pairs in a pairs-trading strategy over 1980–2014. We consider two main techniques: the distance approach and the cointegration approach. We also consider a range of parameterizations of the trading system design. Parameterization of the trading system matters for the profitability of pairs trading. We find that the cointegration approach, despite using an optimal in-sample parameterization, yields significant returns only in the 1980s. The distance approach performs better, producing significantly positive risk-adjusted returns in all sub-periods. However, when transaction costs are properly taken into account, the returns largely disappear in recent years.     

The Effect of Socially Responsible Investing on Portfolio Performance

More and more investors apply socially responsible screens when building their stock portfolios. This raises the question whether these investors can increase their performance by incorporating such screens into their investment process. To answer this question we implement a simple trading strategy based on socially responsible ratings from the KLD Research & Analytics: Buy stocks with high socially responsible ratings and sell stocks with low socially responsible ratings. We find that this strategy leads to high abnormal returns of up to 8.7% per year. The maximum abnormal returns are reached when investors employ the best‐in‐class screening approach, use a combination of several socially responsible screens at the same time, and restrict themselves to stocks with extreme socially responsible ratings. The abnormal returns remain significant even after taking into account reasonable transaction costs.     

The R&D-abnormal return anomaly: a transaction cost explanation

Previous research finds a positive and significant relation between current increases in R&D expenditures and future abnormal stock returns. While the existence of this anomalous pattern is well-established, its underlying causes are the subject of much debate. Recent research also shows that transaction costs can lead to apparent market anomalies such as the post-earnings-announcement drift. We combine these two lines of research and posit that the positive relation between R&D increases and future abnormal stock returns is due to transaction costs. Consistent with this hypothesis, we find that abnormal returns on R&D-based, zero-net-investment portfolios disappear after incorporating standard measures of transaction costs. Overall, our results show that the R&D-abnormal return anomaly is more likely due to transaction costs than to the alternative hypotheses of market inefficiency or omitted risk factors.