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     

技术分析的经济收益与市场有效性

技术分析是现代金融市场中一种重要的投资分析工具。本文基于沪深两地的证券市场,对双重移动均线交错、交易区间突破、亚历山大过滤规则、相对强度指数等常用的技术交易规则进行了全面的实证检验,采用了参数优化和样本外测试的方法来解决数据过度挖掘的问题,考虑了交易成本和风险因素,发现技术分析确实能够产生显著的经济收益,这说明我国证券市场尚未达到弱式有效。     

Technical regulations and specialization in international trade

It is widely acknowledged that while technical regulations can improve welfare and facilitate markets, they can also impede trade. The trade impeding effects of technical regulations are especially worrisome for developing countries: they frequently lack the human and capital resources necessary to satisfy technical measures, and thus are more likely to be excluded from markets by technical measures. This paper uses highly disaggregated US data on agricultural, mining and manufacturing imports to examine the impact of technical regulations on trade patterns. Using instrumental variables estimation to correct for the potential endogeneity of technical regulations, the analysis suggests that technical regulations substantially impinge on poor countries' exports: their weaker capacities to satisfy technical regulations lead them to specialize away from industries with heavier regulatory burdens.     

Monday Effect in the RMW and the Short‐Term Reversal Factors

We document that the positive (opposite) Monday or early‐in‐the‐week effect in Fama–French's robust‐minus‐weak (RMW) factor, first reported by Ülkü (2017), is pervasive across international markets, ruling out data‐snooping. As in the United States, the pattern has strengthened over time. Monday effect in RMW is linked to a combination of institutional investor trading pattern and the weekend sound‐mind effect. We devise a test of the external validity of the weekend sound‐mind effect hypothesis: the short‐term reversal factor, which is profitable within its holding period but leads to larger losses subsequently, exhibits a significant negative Monday effect, as predicted by this hypothesis. Mondays buck fads.     

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.     

The global chess game … or is it go? Market‐entry strategies for emerging markets

Two contrasting metaphors of market‐entry strategy for emerging markets are developed in this article: the Global Chess Game and the Game of Go. Understanding these paradigms is critical for business success and for building robust theories of international competitor analysis in emerging markets, particularly in Asia. The Game of Go represents a long‐term strategy of Japanese companies, dominant foreign direct investment players in the region, and it represents the global strategy of many Asian emerging market companies as they grow within the region and beyond. A Competitor Analysis Framework for Emerging Markets is proposed that incorporates culture and other antecedents as precursors of competitor analysis and strategy formulation. © 2005 Wiley Periodicals, Inc.     

Strategic Purity and Efficiency in the Motor Carrier Industry: A Multiyear Panel Investigation

Two questions facing motor carrier managers are (1) whether carriers should specialize in providing full truckload (TL) or less‐than‐truckload (LTL) services vis‐à‐vis offering mix of both and (2) whether this decision is contingent on carrier size. Yet, the literature provides little guidance because research to date has offered contradictory theoretical predictions and inconsistent empirical findings. Drawing on the theory of strategic purity and information processing theory, we explain why service specialization is likely to increase carriers' technical efficiency and why size will have a more pronounced effect on technical efficiency for carriers specializing in LTL services versus TL services. To test our theory, we assemble a panel data set from archival government sources regarding general freight motor carriers' provision of LTL and TL services. We measure carriers' technical efficiency using data envelopment analysis and test our hypotheses by fitting a series of panel data mixed‐effects models. Our results indicate that carriers are most technically efficient when they specialize in one service type. We also find that size positively affects technical efficiency but only for carriers specializing in LTL services; no returns to scale with regard to technical efficiency exist for carriers specializing in TL services.     

How Islamic banks deal with problem business situations: Islamic banking as a potential model for emerging markets

Models of emerging markets often ignore corporate crises and business failure and are based on research in western economic situations, assuming western institutional patterns and attitudes. This study is based on an empirical analysis of companies in the GCC region of companies within the Islamic Banking System. A “sharp‐bending” orientation model is used to review the role of banks and their methods of managing difficult client situations, triggering early problem‐recognition, and the sequence of recovery. As many emerging markets have large Moslem populations and as Islamic banking continues to be a vibrant growth sector, these findings have wider implications. © 2005 Wiley Periodicals, Inc.     

Foreign Exchange Intervention in Emerging Markets: A Survey of Empirical Studies

Nowadays foreign exchange interventions occur in emerging market economies, whereas empirical studies on interventions mainly refer to advanced economies. However, interventions in emerging markets are different from those in advanced economies: they occur ‘regularly’ and central banks have considerable leverage, derived from relatively high reserves, some non‐sterilisation, the central bank’s information advantage and capital controls. Consequently, these interventions often successfully impact the level and volatility of exchange rates. Nevertheless, more research on interventions in emerging markets is needed analysing the influence of heterogeneous institutional circumstances, examining the role of central bank communication and using high‐frequency data.     

Determinants of change in service employment in the United States 1998–2005: findings based on a new classification of industries

This paper uses a new classification of employment in the USA based on hierarchical cluster analysis to analyze trends in employment from 1998 to 2005. Measures of growth in employment at the state level are presented, along with selected analyses of correlates of employment change. Specialization in key clusters is related to state growth rates, and the markets of the clusters are identified through the use of input–output data. Shifting consumption patterns are examined for clusters with strong household markets.     

Does Exporter Turnover Contribute to Aggregate Productivity Growth? Evidence from Malaysian Manufacturing

Malaysia’s economic success is to a significant extent underpinned by its export‐oriented manufacturing sector. The sector has a large foreign presence, with MNCs attracted by the open trade and investment regime, and FDI‐friendly policies. Using unpublished manufacturing census data for 2000 and 2005, we apply the methodology by Foster et al. (1998) to decompose productivity growth. The analysis shows that exporters were more productive than domestic‐oriented establishments, and were distinctly more competitive. The empirical evidence also shows that establishment turnover is important in boosting productivity growth. In particular, we find that turnover of exporters made a larger contribution to aggregate productivity growth compared with domestic‐oriented establishments during the period from 2000 to 2005. Surviving establishments (those that operated in both years), on the other hand, made a negative contribution. It is noteworthy that entrants to export markets were more productive than surviving non‐exporters and even surviving exporters. Exiters from export markets or ‘export failures’, on the other hand, were less productive than continuing exporters. Given the importance of turnover to productivity growth, the government should ensure unrestricted entry to the export sectors for both foreign and domestic investors. Continuing with pro‐FDI policies is also important, given the keener global competition.     

Price discovery in the hang seng index markets: Index,futures, and the tracker fund

In this paper, price discovery among the Hang Seng Index markets is investigated using the Hasbrouck and Gonzalo and Granger common‐factor models and the multivariate generalized autoregressive conditional heteroskedasticity (M‐GARCH) model. Minute‐by‐minute data from the Hang Seng Index, Hang Seng Index futures, and the tracker fund show that the movements of the three markets are interrelated. The futures markets contain the most information, followed by the spot market. The tracker fund does not contribute to the price discovery process. The three markets exhibit spillover effects, indicating that their second moments are linked, even though the flow of information from the tracker fund to the other markets is minimal. Overall results suggest that the three markets have different degrees of information processing abilities, although they are governed by the same set of macroeconomic fundamentals. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:887–907, 2004     

Volatility spillover effects and cross hedging in corn and crude oil futures

Using a volatility spillover model, we find evidence of significant spillovers from crude oil prices to corn cash and futures prices, and that these spillover effects are time‐varying. Results reveal that corn markets have become much more connected to crude oil markets after the introduction of the Energy Policy Act of 2005. Furthermore, when the ethanol–gasoline consumption ratio exceeds a critical level, crude oil prices transmit positive volatility spillovers into corn prices and movements in corn prices are more energy‐driven. Based on this strong volatility link between crude oil and corn prices, a new cross‐hedging strategy for managing corn price risk using oil futures is examined and its performance is studied. Results show that this cross‐hedging strategy provides only slightly better hedging performance compared with traditional hedging in corn futures markets alone. The implication is that hedging corn price risk in corn futures markets alone can still provide relatively satisfactory performance in the biofuel era. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark     

Food Safety Issues,Trade and WTO Rules: A Developing Country Perspective

The SPS Agreement and the related WTO dispute settlement mechanism are an important first step in strengthening the global trade architecture, bringing in greater transparency and orderly conditions to world food trade. However, implementation of the new trade rules has turned out to be a more complex task than the traditional market access issues handled by the WTO. Several factors, including inadequate financial and technical resources, have constrained devel‐oping countries from becoming effective participants in the implementation process, and there is widespread suspicion that SPS regulations are being used as hidden protectionist devices by developed countries. However, despite all the problems, some developing countries have been quite successful in penetrating developed country food markets; they have done so by accepting the consumer preferences and standards in quality‐sensitive high‐income markets and implementing domestic supply‐side measures. While making full use of available international assistance initiatives, developing countries should view the task of complying with SPS standards not just as a barrier but also as an opportunity to upgrade quality standards and market sophistication in the food export sector.     

The new middle class in emerging markets: How values and demographics influence discretionary consumption

The rise of new middle‐class consumers in rapidly transforming emerging markets has attracted the attention of Western business executives. What they know about this growing segment of customers will determine whether they succeed or fail in these markets. The present study examines the factors that drive the discretionary consumption of this new middle class, including the effects of consumerist values, religious values, occupation, education levels, and ownership of fixed assets. The study draws its insights from data gathered from 391 new middle‐class consumers in Ankara, the second‐largest city in Turkey. The findings provide important implications for businesses, both indigenous and foreign. An overall implication is that managers ought to understand and qualify the new middle class in emerging markets not simply by their access to disposable income but by deeper attitudinal and behavioral characteristics.     

A random coefficient autoregressive Markov regime switching model for dynamic futures hedging

The random coefficient autoregressive Markov regime switching model (RCARRS) for estimating optimal hedge ratios, which generalizes the random coefficient autoregressive (RCAR) and Markov regime switching (MRS) models, is introduced. RCARRS, RCAR, MRS, BEKK‐GARCH, CC‐GARCH, and OLS are compared with the use of aluminum and lead futures data. RCARRS outperforms all models out‐of‐sample for lead and is second only to BEKK‐GARCH for aluminum in terms of variancereduction point estimates. White's data‐snooping reality check null hypothesis of no superiority is rejected for BEKK‐GARCH and RCARRS for aluminum, but not for lead. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:103–129, 2006     

Trust and the don't‐want‐to‐complain bias in peer‐to‐peer platform markets

This paper addresses peer‐to‐peer (P2P) digital platform markets, often associated with the “sharing economy” or the “collaborative economy”. Such digital platforms, facilitating new purchasing channels for consumers by matching P2P supply and demand, can be considered new market places challenging the conventional markets. How are P2P platform markets evaluated by the consumers? Based on a comprehensive survey‐data material, five different P2P service markets are considered by peer buyers and the results compared to consumers’ evaluations from similar conventional service markets according to trust, comparability and consumers’ satisfaction with the transactions. Comparability seems to be one advantage for the platform markets, while trust could become a problem. Conditions for trust in P2P platform markets is particularly interesting to study because contrary to conventional markets P2P transactions cannot rely on governmental laws, regulations and security net. This trust problem has been solved by a trust‐generating rate and review system. Our data material, however, distinguishes a mechanism that we have coined as the don't‐want‐to‐complain bias. More precisely, people do not like to complain, hence buyers of P2P services often hesitate to give negative ratings when they are discontent with a service or a supplier. Therefore, positive ratings become overestimated. If consumers recognize this bias, ratings and reviews will lose credibility and no longer be considered trustworthy. Eventually, this may threaten the well‐functioning of P2P markets.     

Intradaily periodicity and volatility spillovers between international stock index futures markets

This paper examines short‐run information transmission between the U.S. and U.K. markets using the S&P 500 and FTSE 100 index futures. Ultrahighfrequency futures data are employed—which have a number of advantages over the low‐frequency spot data commonly used in previous studies—in establishing that volatility spillovers are in fact bidirectional. The generalized autoregressive conditionally heteroskedastic model (GARCH) is employed to estimate the mean and volatility spillovers of intraday returns. A Fourier flexible function is utilized to filter the intradaily periodic patterns that induce serial correlation in return volatility. It was found that estimates of volatility persistence and speed of information transmission are seriously affected by intradaily periodicity. The bias in parameter estimation is removed by filtering out the intradaily periodic component of the transaction data. Contrary to previous findings, there is evidence of spillovers in volatility between the U.S. and U.K. markets. Results indicate that the volatility of the U.S. market is affected by the most recent volatility surprise in the U.K. market. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:553–585, 2005     

Influence of Social Media over the Stock Market

This research analyzes investors’ activity through social media and these media's influence over the Chicago Board Options Exchange Market Volatility Index (VIX) using a logit model and a fuzzy‐set qualitative comparative analysis (fsQCA). The logit results show that social media sentiment influences stock markets. Meanwhile, the fsQCA results show that the investors’ profile is important for explaining how social media influence the stock market. Particularly, holding period combined with experience in technical investors contributes to avoiding a raise in market risk, whereas for nontechnical investors message sentiment and experience form the combination that contributes to avoid a raise in market risk.