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The purpose of this paper is to empirically analyze the “market-neutral” characteristics of the market-neutral strategy hedge funds in Chinese A-share market.

The analyses in the paper are conducted to study the market-neutral characteristics by means of index analysis, correlation analysis, β-neutral analysis and the three-factor model analysis.

The results show that the performance advantage of the market-neutral strategy hedge funds is obvious. Most market-neutral strategy funds are exposed to market risks and the α strategy funds also have obvious style factor exposure; strictly speaking, all of the market-neutral strategies have not reached the “market-neutral” requirements. This paper also finds that Chinese trading restrictions on stock index futures in September 2015 have a significant impact on Chinese market-neutral strategy hedge funds.

The conclusion of this paper has a certain reference value for understanding the risk characteristics and possible problems of hedge funds in emerging markets, and also has important reference value for investors.

The purpose of this paper is to explore whether stock selection strategies based on four fundamental quality indicators can generate superior returns compared to overall market.

The sample of stocks comprises the constituents of BSE-500 index, which is a broad based index consisting of highly liquid stocks from all 20 major industries of the Indian economy. Portfolios are constructed on the basis of quality indicator rankings of companies and the returns of these portfolios are compared with the overall market. Excess returns on quality based portfolios are also determined using OLS regressions of quality portfolio returns on market, size, value and momentum factor returns.

The results suggest that two of the four quality strategies, namely Grantham Quality indicator and Gross Profitability have generated superior returns after controlling for market returns as well as common anomalies such as size, value and momentum. Combining value strategies with quality strategies do not yield any significant gains relative to quality only strategies.

For investors looking to invest in the Indian stock market for a long term, this study provides evidence on the performance of some fundamental indicators that can help predict long run stock performance. The findings suggest that investors can distinguish between high-performing and low-performing stocks based on stock quality indicators.

This is the first such study to look into the performance of quality investing in the Indian stock market. As most quality investing studies have been focussed on developed economies, this paper provides out-of-sample evidence for quality investing in the context of an emerging market.

The purpose of this paper is to explore trading strategies that exploit investors’ anchoring bias.

This paper forms portfolios based on nearness ratio and other anomaly variables under one- and two-way sorts. The portfolio return series are then regressed on Fama and French three factors to extract abnormal returns.

First is to use anchoring as a technical signal. A strategy that trades against anchoring buys stocks with prices near their 52-week high and sells stocks with prices far below their 52-week high. Based on deciles, the strategy generates a significant value-weighted monthly α of 1.13 percent, after accounting for the market, size, and value factors. Further, the strategy is profitable among both large and small stocks; the trading profit is higher among younger firms and more volatile stocks, but is similar between subsamples formed on number of analysts, level of institutional ownership, and number of institutional owners. The strategy is more profitable following periods of high investor sentiment. Second is to combine anchoring with known anomalies. For a broad set of 26 anomalies, a trading strategy that combines anchoring with the anomalies increases the value-weighted monthly α from an average of 0.61 percent to an average of 1.38 percent. While part of the profits can be attributed to momentum, momentum itself does not explain all the profits.

This paper presents empirical evidence that anchoring bias explains the profitability of a broad set of anomalies and describes practical trading strategies that exploit the anchoring bias.

In the fields of social choice, public choice, and political economics, the key difference between private and political decision-making is whether preferences have to be aggregated to make a decision. A related, yet much less studied difference is whether also beliefs have to be aggregated. In this chapter, we argue that belief aggregation creates different incentives for individual belief updates in private and political choice. We review contemporary theories of biased beliefs in politics: Bayesian misperceptions, behavioral anomalies, and rational irrationality. We examine assumptions and consequences of all the approaches vis-à-vis issues of common knowledge, stability, symmetry, and multiplicity of stable states. As a route for further analysis, we construct an evolutionary model including a coordination failure. Differences in learning dynamics make the political play of this baseline game Pareto-inferior to the private play.

Amid ongoing criticism that corporate boards do not receive adequate information to help them fulfill their current and emerging roles, the purpose of this paper is to focus on the type of information directors receive. Specifically, to examine whether greater board independence and greater board expertise were associated with receiving more information, in five specific categories.

Hypotheses about the relationships between the composition of corporate boards and the various types of information they receive were tested by means of a survey of 161 Canadian companies listed on the Toronto Stock Exchange.

The authors findings indicate a strong association between board expertise and each type of information received and suggest a weaker relationship between board independence and information received. Specifically, the results demonstrate that more independent boards do not receive larger amounts of information that is more forward‐looking in nature.

These findings contribute to the literature on governance by providing relevant empirical evidence, based on primary data on board information issues. However, these results must be interpreted within the context of the use of various perceptual measures.

Now that the composition of corporate boards has changed considerably, the findings of this study underline the need to re‐examine the supporting information processes. Hence, this study should help provide guidance to organizations examining the content of their current information strategy.

An important contribution of this study is its detailed characterization of the information provided to corporate boards, including financial and non‐financial information and reflecting the five traditional stages of the strategic management process.

This study aims to study research on franchise chain performance that has focused on franchisors’ efforts to align their interests with those of franchisees to address partner uncertainty. In contrast, the question of what a franchisor should do to address another type of uncertainty and task uncertainty remains understudied. The authors suggest a franchisor’s coordination as a key means of alleviating task uncertainty and ongoing support and plural form as two mechanisms of coordination. The authors also posit that aligned interests between the franchisor and the franchisee improve, whereas one-sided interest impedes, chain performance. Furthermore, providing greater ongoing support or deploying plural form amplifies the positive effect of aligned interests on chain performance.

The authors relied on secondary data to test the hypotheses. The authors collected data for analysis from Bond’s franchisee guide and Nation’s Restaurant News restaurant database. They also tested the framework by analyzing 17-year, panel data of 71 restaurant chains operating in the USA and Canada using system generalized method of moments.

Results show that aligning interests does improve chain performance, but that the positive effect is amplified when aligned interests are matched with a chain’s provision of ongoing support or use of plural form.

The authors explicate why it is not enough to address the misaligned interests or lack of coordination alone; a chain manager needs to address both of these problems together. In addition, the authors explicate how two franchisee coordination mechanisms – ongoing support and plural form – help a chain augment the beneficial effect of aligning interests on chain performance. Without solving the twin problems of misaligned interests and coordination simultaneously, a chain is unlikely to achieve its full performance potential.

This study was conducted with the objective of conducting a primary validation of a newly developed climate strategy proactivity questionnaire (CSPQ) scale for evaluating the relationship of climate strategy proactivity displayed by Indian companies with competitive advantage which it intends to attain and sustain through sources of sustained competitive advantage.

Research design includes an exploratory factor analysis, conducted with a diverse sample of stakeholders of Indian companies, resulting into four internally consistent factors. This was followed by a confirmatory factor analysis with strong model fit estimates which confirmed the initial factor structure and resulted into a new final CSPQ scale. The scale without substituting any existing scale facilitated testing of all but criterion validity.

Findings mainly comprise the primary validation of the CSPQ scale as psychometrically strong confirming acceptability of all major fit indices.

CSPQ scale designed in the context of Indian companies is expected to make corporations and managers more aware in developing countries to help them draw an extensively enhanced scope of proactive climate strategy while making efforts to attain and sustain competitive advantage. However, the self-reported information collected through a common survey questionnaire might be affected by self-bias. Further, cross-sectional data to validate a new non-substituting scale prevented the researcher from conducting criterion validity test.

Basing the development and validation of the CSPQ scale on the data collected from diverse stakeholders of Indian companies in as diverse a country as India, the scale can demonstrate significant robustness and implicative potential. The scale, by virtue of possessing significant attributes, can add remarkable value to strategic management applicable under any major theoretical perspective. It can serve the requirements of the empirical research and competitive management practices simultaneously.

The paper aims to investigate organizational variables and develop their relationship with horizontal strategy. The cultural dimensions and organization structure have been considered as organizational variables. The study also aims to shed light on the implementation horizontal strategy in conglomerates.

A survey was carried out with 122 conglomerate firms for examination. These companies were chosen to be of different sizes and sectors. The multiple regression analysis was utilized to analyze the data.

The results reveal that conglomerate firms also have a horizontal strategy. Additionally, organizational cultural dimensions namely, collectivism, clan culture, market culture and long-term orientation; formal and informal relationship; and horizontal organization structure (HOS) have positive and significant relationship with horizontal strategy. No significant relationship was found between uncertainty avoidance and adhocracy culture, and horizontal strategy.

The major contributions of this study are explicitly identified as horizontal strategy exists in the conglomerate firms where the few organizational variables play a significant role in horizontal strategy implementation.

This study has been done in an effort to make supporting guidelines to fill the gaps in conglomerate firms. This study offers an effective role of cultural dimensions and structure as drivers of horizontal strategy implementation, and this study spells out and extends the literature and proposes a conceptual framework.

The decision-making to outsource and select the most suitable global manufacturing outsourcing partner (MOP) is complex and uncertain due to multiple conflicting qualitative and quantitative criteria as well as multiple alternatives. Vagueness and variability exist in ratings of criteria and alternatives by group of decision-makers (DMs). The paper provides a novel Stochastic Fuzzy (SF) method for evaluation and selection of agile and sustainable global MOP in uncertain and volatile business environment.

Four main selection criteria for global MOP selection were identified such as economic, agile, environmental and social criteria. Total 16 sub-criteria were selected. To consider the vagueness and variability in ratings by group of DMs, SF method using t-distribution or z-distribution was adopted. The criteria weights were determined using the Stochastic Fuzzy-CRiteria Importance Through Intercriteria Correlation (SF-CRITIC), while MOP selection was carried out using Stochastic Fuzzy-VIseKriterijumskaOptimizacija I KompromisnoResenje (SF-VIKOR) in the case study of footwear industry. Sensitivity analysis was performed to test the robustness of the proposed model. A comparative analysis of SF-VIKOR and VIKOR was made.

The worker’s wages and welfare, product price, product quality, green manufacturing process and collaboration with partners are the most important criteria for MOP selection. The MOP3 was found to be the best agile and sustainable global MOP for the footwear company. In sensitivity analysis, significance level is found to have important role in MOP ranking. Hence, the study concluded that integrated SF-CRITIC and SF-VIKOR is an improved method for MOP selection problem.

In a group decision-making, ambiguity, impreciseness and variability are found in relative ratings. Fuzzy variant Multi-Criteria Decision-Making methods cover impreciseness in ratings but not the variability. On the other hand, deterministic models do not cover either. Hence, the stochastic method based on the probability theory combining fuzzy theory is proposed to deal with decision-making problems in imprecise and uncertain environments. Most notably, the proposed model has novelty as it captures and reveals both the stochastic perspective and the fuzziness perspective in rating by group of DMs.

The proposed multi-criteria group decision-making model contributes to the sustainable and agile footwear supply chain management and will help the policymakers in selecting the best global MOP.

To the best of the authors’ knowledge, SF method has not been used to select MOP in the existing literature. For the first time, integrated SF-CRITIC and SF-VIKOR method were applied to select the best agile and sustainable MOP under uncertainty. Unlike other studies, this study considered agile criteria along with triple bottom line sustainable criteria for MOP selection. The novel method of SF assessment contributes to the literature and put forward the managerial implication for improving agility and sustainability of global manufacturing outsourcing in footwear industry.

To remedy the inherent defect in current research that focuses only on a single type of participants, this paper endeavors to look into the situation as an evolutionary game between a representative Logistics Service Integrator (LSI) and a representative Functional Logistics Service Provider (FLSP) in an environment with sudden crisis and tries to analyze how LSI supervises FLSP's operations and how FLSP responds in a recurrent pattern with different interruption probabilities.

Regarding the risks of supply chain interruption in emergencies, this paper develops a two-level model of single LSI and single FLSP, using Evolutionary Game theory to analyze their optimal decision-making, as well as their strategic behaviors on different risk levels regarding the interruption probability to achieve the optimal return with bounded rationality.

The results show that on a low-risk level, if LSI increases the degree of punishment, it will fail to enhance FLSP's operational activeness in the long term; when the risk rises to an intermediate level, a circular game occurs between LSI and FLSP; and on a high level of risk, FLSP will actively take actions, and its functional probability further impacts LSI's strategic choices. Finally, this paper analyzes the moderating impact of punishment intensity and social reputation loss on the evolutionary model in emergencies and provides relevant managerial implications.

First, by taking both interruption probability and emergencies into consideration, this paper explores the interactions among the factors relevant to LSI's and FLSP's optimal decision-making. Second, this paper analyzes the optimal evolutionary game strategies of LSI and FLSP with different interruption probability and the range of their optimal strategies. Third, the findings of this paper provide valuable implications for relevant practices, such that the punishment intensity and social reputation loss determine the optimal strategies of LSI and FLSP, and thus it is an effective vehicle for LSSC system administrator to achieve the maximum efficiency of the system.