Refining momentum strategies by conditioning on prior long‐term returns: Canadian evidence

Cross‐sectional returns in Canada are predictable using both momentum and reversal strategies. Synergies realized by focusing on the entire term structure of prior returns lead to better predictability. An enhanced index strategy based on these synergies is profitable most of the time after controlling for transaction costs, although the degree of profitability changes over time. Simulation shows that recent profitability is mainly attributable to the short‐side of the momentum strategy. Copyright © 2007 ASAC. Published by John Wiley & Sons, Ltd.     

Market Timing With Moving Averages

I present evidence that a moving average (MA) trading strategy has a greater average return and skewness as well as a lower variance compared to buying and holding the underlying asset using monthly returns of value‐weighted US decile portfolios sorted by market size, book‐to‐market, and momentum, and seven international markets as well as 18,000 individual US stocks. The MA strategy generates risk‐adjusted returns of 3–7% per year after transaction costs. The performance of the MA strategy is driven largely by the volatility of stock returns and resembles the payoffs of an at‐the‐money protective put on the underlying buy‐and‐hold return. Conditional factor models with macroeconomic variables, especially the default premium, can explain some of the abnormal returns. Standard market timing tests reveal ample evidence regarding the timing ability of the MA strategy.     

Machine learning and the cross-section of emerging market stock returns

This paper compares various machine learning models to predict the cross-section of emerging market stock returns. We document that allowing for non-linearities and interactions leads to economically and statistically superior out-of-sample returns compared to traditional linear models. Although we find that both linear and machine learning models show higher predictability for stocks associated with higher limits to arbitrage, we also show that this effect is less pronounced for non-linear models. Furthermore, significant net returns can be achieved when accounting for transaction costs, short-selling constraints, and limiting our investment universe to big stocks only.     

The Market Timing Power of Moving Averages: Evidence from US REITs and REIT Indexes

I present evidence that a moving average (MA) trading strategy dominates buying and holding the underlying asset in a mean‐variance sense using monthly returns of value‐weighted and equal‐weighted US REIT indexes over the period January 1980 until December 2010. The abnormal returns are largely insensitive to the four Carhart factors and produce economically and statistically significant alphas of between 10 and 15% per year after transaction costs. This performance is robust to different lags of the MA and in subperiods while investor sentiment, liquidity risks, business cycles, up and down markets, and the default spread cannot fully account for its performance. The MA strategy works just as well with randomly generated returns and bootstrapped returns. The substantial market timing ability of the MA strategy appears to be the main driver of the abnormal returns. The returns to the MA strategy resemble the returns of an imperfect at‐the‐money protective put strategy relative to the underlying portfolio. The lagged signal to switch has substantial predictive power over the subsequent return of the REIT index. The MA strategy avoids the sharp downturn at the beginning of 2008 and substantially outperforms the cumulative returns of the buy‐and‐hold strategy using all of the 20 REIT indexes. The results from applying the MA strategy with 274 individual REITs largely corroborate the findings for the REIT indexes.     

Non‐Tradable Share Reform,Liquidity, and Stock Returns in China

This article studies the influence of the non‐tradable share reform in the cross‐section of stock returns in China. Prior research has generally neglected this important development in the Chinese stock market. We find that the firm‐specific illiquidity measures that reflect direct transaction costs, price impact and difficulties in trading immediacy, exhibit a positive and significant relationship with stock returns. These effects are particularly pronounced after the non‐tradable share reform. Furthermore, in the post‐reform era, portfolios with high illiquidity (i.e. high relative bid–ask spread, high Amihud illiquidity, low Amivest liquidity ratio) significantly outperform portfolios with low illiquidity, controlling for size, and book‐to‐market effects.     

Timing the Market with a Combination of Moving Averages

A combination of simple moving average trading strategies with several window lengths delivers a greater average return and skewness as well as a lower variance and kurtosis compared with buying and holding the underlying asset using daily returns of value‐weighted US decile portfolios sorted by market size, book‐to‐market, momentum, and standard deviation as well as more than 1000 individual US stocks. The combination moving average (CMA) strategy generates risk‐adjusted returns of 2% to 16% per year before transaction costs. The performance of the CMA strategy is driven largely by the volatility of stock returns and resembles the payoffs of an at‐the‐money protective put on the underlying buy‐and‐hold return. Conditional factor models with macroeconomic variables, especially the market dividend yield, short‐term interest rates, and market conditions, can explain some of the abnormal returns. Standard market timing tests reveal ample evidence regarding the timing ability of the CMA strategy.     

Asset pricing with heterogeneous beliefs and illiquidity

This paper studies the equilibrium price of an asset that is traded in continuous time between N agents who have heterogeneous beliefs about the state process underlying the asset's payoff. We propose a tractable model where agents maximize expected returns under quadratic costs on inventories and trading rates. The unique equilibrium price is characterized by a weakly coupled system of linear parabolic equations which shows that holding and liquidity costs play dual roles. We derive the leading‐order asymptotics for small transaction and holding costs which give further insight into the equilibrium and the consequences of illiquidity.     

Momentum Strategies and Investor Sentiment in the REIT Market

Comparing across three momentum measures, we empirically find that the 52‐week high strategy plays a dominant role in generating momentum profits in the Real Estate Investment Trust (REIT) market. The profitability of the 52‐week high strategy, however, varies with the state of investor sentiment. Specifically, we find that the 52‐week high momentum earns significantly positive returns following optimistic periods and significantly negative returns following pessimistic periods. Further evidence indicates that investor sentiment serves as a better predictive variable in explaining the REIT momentum than market states, business cycles, legislation changes, and monetary policy changes. Overall, our findings are in line with behavioral theories in explaining the REIT momentum.     

Time-series momentum in China's commodity futures market

This study examines the time-series momentum in China's commodity futures market. We find that a time-series momentum strategy outperforms classical passive long and cross-sectional momentum strategies in terms of the Sharpe ratio, risk-adjusted excess returns, and cumulative returns. The time-series momentum strategy with a 1-month look-back period and a 1-month holding period exhibits the best performance. We observe clear time-series momentum patterns and find that the time-series momentum strategy is effective in the Chinese commodity futures market. However, the momentum lasts for less time in China than in the United States because China's futures market seems to have a greater number of speculative investors.     

Building With Bricks and Mortar: The Revenue Impact of Opening Physical Stores in a Multichannel Environment

A crucial decision firms face today is which channels they should make available to customers for transactions. We assess the revenue impact of adding bricks-and-mortar stores to a firm's already existing repertoire of catalog and Internet channels. We decompose the revenue impact into customer acquisition, frequency of orders, returns, and exchanges, and size of orders, returns, and exchanges. We use a multivariate baseline method to assess the impact of adding the physical store channel on these revenue components. As hypothesized, store introduction cannibalizes catalog sales and has much less impact on Internet sales. Also as hypothesized, returns and exchanges increase. Interestingly, transaction sizes of purchases, returns, and exchanges do not change. The “availability effect” produces a net increase in purchase frequency across channels. This more than compensates for increased returns, producing a net increase in revenues of 20% by adding the store channel. Our findings yield a deeper understanding of the revenue relation between channels, and of the dynamic cross-channel effects of marketing actions.     

Optimal partial hedging of options with small transaction costs

This study uses asymptotic analysis to derive optimal hedging strategies for option portfolios hedged using an imperfectly correlated hedging asset with small fixed and/or proportional transaction costs, obtaining explicit formulae in special cases. This is of use when it is impractical to hedge using the underlying asset itself. The hedging strategy holds a position in the hedging asset whose value lies between two bounds, which are independent of the hedging asset's current value. For low absolute correlation between hedging and hedged assets, highly risk‐averse investors and large portfolios, hedging strategies and option values differ significantly from their perfect market equivalents. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark 31:855–897, 2011     

Returns on ADRs and arbitrage in emerging markets

In this paper we compare the distributions of ADR returns and the returns of the locally traded shares between Chile and Argentina. This comparison is interesting because both countries are emerging economies with a similar free market orientation and the trading hours in both countries virtually coincide with the trading hours in New York. Argentina and Chile differ, however, in two important aspects: During our sample period: (1) The Argentinean market was completely under a fixed-exchange rate system, while Chile maintained a flexible exchange rate regime; and (2) Argentina did not impose any restrictions on foreign investments, while Chile did. We find that the return distributions of the Chilean ADRs are significantly different from the distributions of the returns on the respective underlying Chilean shares. While the mean returns are the same, the return's S.D. are significantly different. In contrast, the hypothesis that the distributions of the returns on the Argentinean ADRs and the returns on their respective underlying shares are the same cannot be rejected. We then use a threshold model to estimate the transaction costs of trading the ADRs and the locally traded shares. We find that the transaction costs that must be added to the returns spread before arbitrage is possible were between 100 and 200 basis points for Chilean ADRs. It was between 66 and 165 basis points for the Argentinean ADRs. The daily return spread reversion caused by arbitrage activities was estimated to be approximately 30% for Chilean ADRs and 40% for Argentinean ADRs. Finally, we cannot reject the hypothesis that low liquidity was a major factor in the cost difference between the two countries.     

The theory and practice of user‐initiated innovation

User‐initiated product innovation occurs when a firm that has invented a novel device first invests in its internal application as a process innovation and second seeks returns from its general marketing. The paper defines the nature and scope of user‐initiated innovation (UII), presents summaries of detailed case histories of its instance, and discusses its explanation and managerial implications. Three modes of user‐initiated product innovation and users’ roles in them are distinguished and three explanations of the functional locus of innovation are critically considered in terms of their explication of empirically‐derived strategies of innovation: the appropriability of benefit, appropriability regimes, and transaction costs theories.     

Does Investor Sentiment Predict the Near‐Term Returns of the Chinese Stock Market?

Recent evidence on the relationship between investor sentiment and subsequent monthly market returns in China shows that investor sentiment is a reliable momentum predictor since an increase (decrease) in investor sentiment leads to higher (lower) future returns. However, we suggest that momentum predictability of investor sentiment originates from the boom and bust period of 2006–2008 (the bubble period hereafter). The bubble period is characterized by several months of sustained optimism followed by several months of sustained pessimism, with the market consequently earning high (low) returns following high (low) sentiment months. Therefore, we find a strong positive association between investor sentiment and subsequent market returns during the bubble period. However, investor sentiment has a negligible impact on subsequent monthly market returns once we exclude the bubble period.     

When Is a Firm's Information Asymmetry Priced? The Role of Institutional Investors

This study reexamines the competing claims that probability of informed trading (PIN) is priced in the cross‐section of stock returns while adjusted PIN (AdjPIN), the component of PIN related to information asymmetry, is not. We find that behind these seemingly contradicting conclusions is the role of institutional investors, and the pricing of PIN and AdjPIN depends on institutional ownership. Only for those stocks with low institutional ownership are both PIN and AdjPIN priced. Our findings imply that investors require compensation for information risk only from stocks with low institutional ownership.     

The success of stock selection strategies in emerging markets: Is it risk or behavioral bias?

We examine competing explanations, based on risk and behavioral models, for the profitability of stock selection strategies in emerging markets. We document that both emerging market risk and global risk factors cannot account for the significant excess returns of selection strategies based on value, momentum and earnings revisions indicators. The findings for value and momentum strategies are consistent with the evidence from developed markets supporting behavioral explanations. In addition, for value stocks, the most important behavioral bias appears to be related to underestimation of long-term growth prospects, as indicated by above average earnings revisions for longer post-formation horizons and by quite rapidly improving earnings growth expectations. Furthermore, we find that overreaction effects play a limited role for the earnings revisions strategy, as there is no clear return reversal until five years after portfolio formation, setting this strategy apart from momentum strategies.     

BUY‐LOW AND SELL‐HIGH INVESTMENT STRATEGIES

Buy‐low and sell‐high investment strategies are a recurrent theme in the considerations of many investors. In this paper, we consider an investor who aims at maximizing the expected discounted cash‐flow that can be generated by sequentially buying and selling one share of a given asset at fixed transaction costs. We model the underlying asset price by means of a general one‐dimensional Itô diffusion X , we solve the resulting stochastic control problem in a closed analytic form, and we completely characterize the optimal strategy. In particular, we show that, if 0 is a natural boundary point of X , e.g., if X is a geometric Brownian motion, then it is never optimal to sequentially buy and sell. On the other hand, we prove that, if 0 is an entrance point of X , e.g., if X is a mean‐reverting constant elasticity of variance (CEV) process, then it may be optimal to sequentially buy and sell, depending on the problem data.     

Small‐cost asymptotics for long‐term growth rates in incomplete markets

This paper provides a rigorous asymptotic analysis of long‐term growth rates under both proportional and Morton–Pliska transaction costs. We consider a general incomplete financial market with an unspanned Markov factor process that includes the Heston stochastic volatility model and the Kim–Omberg stochastic excess return model as special cases. Using a dynamic programming approach, we determine the leading‐order expansions of long‐term growth rates and explicitly construct strategies that are optimal at the leading order. We further analyze the asymptotic performance of Morton–Pliska strategies in settings with proportional transaction costs. We find that the performance of the optimal Morton–Pliska strategy is the same as that of the optimal one with costs increased by a factor of . Finally, we demonstrate that our strategies are in fact pathwise optimal, in the sense that they maximize the long‐run growth rate path by path.     

Mobile Phone Use,Transaction Costs,and Price: Evidence from Rural Vegetable Farmers in Cameroon

ABSTRACT

The widespread use of mobile phones in Cameroon should be translated into increased farmers’ income by reducing information-search costs. This study seeks to investigate the effects of mobile phone use on transaction costs related to price information search. Ordinary least-square estimations reveal a positive relationship between mobile phones use and transaction costs. The results show that farmers’ use of mobile phones increases their transaction costs for carrots and tomatoes, unlike for cabbages. This paper suggests the establishment of vegetable information centers that can serve as an interface between stakeholders in agriculture by channeling adequate and timely information to farmers.     

Foreign Ownership Restriction and Momentum – Evidence from Emerging Markets

This study investigates the impact of foreign investors on stock price efficiency and return predictability in emerging markets. It finds that stocks fully investible for foreign investors exhibit stronger price momentum than non‐investible stocks. The difference in momentum effects between stocks with different levels of investibility cannot be fully explained by world market risk, size, turnover, or country‐specific factors. Further tests show that fully investible stocks have no post‐earnings‐announcement drift (PEAD), and their short‐term momentum reverses over a longer horizon. These results show that the stronger momentum of highly investible stocks does not appear to be driven by foreign investors' underreaction to firm‐specific information, but is more likely to be generated by their positive feedback trading.