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This study aims to recognize the current dynamics, prolific contributors and salient trends and propose future research directions in the area of alternative momentum investing.

The study uses a blend of electronic database and forward reference searching to ensure the incorporation of all the significant studies. With the help of the Scopus database, the present study retrieves 122 research papers published from 1999 to 2020.

The results reveal that alternative momentum investing is an emerging area in the field of momentum investing. However, this area has witnessed an exponential growth in last ten years. The study also finds that North American, West European and East Asian countries dominate in total research publications. Through network citation analysis, the study identifies five major clusters: industrial momentum, earnings momentum, 52-week high momentum, time-series momentum and risk-managed momentum.

The present review will serve as a guide for financial researchers who intend to work on alternative momentum approaches. The study proposes several unexplored research themes in alternative momentum investing on which future studies can focus.

The study embellishes the existing literature on momentum investing by contributing the first bibliometric review on alternative momentum approaches.

The analysis aims to explore how momentum return changes with alternative computational methods and the extent to which the portfolio structure is important in the momentum context.

The focus reflected in the prior research emphasises the method used by Jegadeesh and Titman and various extensions to test whether momentum returns exist. This study uses alternative methods of buying previous Winners and short‐selling previous Losers to determine if this significantly changes the returns.

The current study clarifies the impact of several contributory factors that impact upon estimated momentum returns. The large sample of cleaned data upon which this study is based provides a higher degree of confidence that the findings are sound and not just a statistical anomaly.

The research is important from a practitioner perspective as details of momentum return are presented for each country using different methods, providing information regarding the most profitable country in which to invest and whether the momentum return is sustainable under different formative approaches.

One of the important contributions of this study is a detailed empirical analysis, presenting results in a global context rather than on a single country basis.

Over the past three decades, numerous conceptual and empirical studies have discussed momentum investment strategies’ presence, pervasiveness and persistence. However, science mapping in the field is inadequate. Hence, this study aims to comprehend and explore current dynamics, understand knowledge progression, elicit trends through thematic map analysis, synthesize knowledge structures and provide future research directions in this domain.

The study applies bibliometric analysis on 562 Scopus indexed articles from 1986 to 2021. Biblioshiny version 3.1.4, a Web-based application included in Bibiliometrix package developed in R-language (Aria and Cuccurullo, 2017), was used to examine: the most prominent articles, journals, authors, institutions and countries and to understand the thematic evolution and to elicit trends through the synthesis of knowledge structures including conceptual, intellectual and social structures of the field.

Motor themes, basic transverse, niche and emerging and declining themes were identified using (Callon, 1991) strategic thematic map. Besides, four major clusters based on a cocitation network of documents were identified: empirical evidence and drivers of momentum returns, theories explaining momentum returns and implications for asset pricing and market efficiency, avoiding momentum crashes and momentum in alternative asset classes, alternative explanations for momentum returns. The study infers that momentum research is becoming multidisciplinary given the dominance of behavioral theories and economic aspects in explaining the persistence of momentum profits and offers future research directions.

The study deploys bibliometric analysis, appropriate for deriving insights from the vast extant literature. However, a meta-analysis might offer deeper insights into specific dimensions of the research topic. Besides, the study’s findings are based on Scopus indexed articles analyzed using bibilioshiny; the database and software limitations might have affected the findings.

The study is a ready reckoner for scholars who intend to recognize the evolution of momentum investment strategies, current dynamics and future research direction. The study offers practitioners insights into efficiently designing and deploying momentum investment strategies and ways to avoid momentum crashes.

The study offers insights into the irrational behavior and systematic errors committed by market participants that helps regulators and policymakers to direct investors’ educational efforts to minimize systematic behavioral errors and related adverse financial consequences.

This comprehensive study on momentum investment strategies evaluates research trends and current dynamics draws a thematic map, knowledge progression in the field and offers future research directions.

This research study aims to design a novel risk-managed time-series momentum approach. The present study also examines the time-series momentum effect in the Indian equity market. Apart from this, the study also proposes a novel risk-managed time-series momentum approach.

The study considers the adjusted monthly closing prices of the stocks listed on the Bombay Stock Exchange from January 1996 to December 2020 to formulate long-short portfolios. Newey–West t statistics were used to test the significance of momentum returns. The present research has considered standard risk factors, i.e. market, size and value, to evaluate the risk-adjusted performance of time-series momentum portfolios.

The present research reports a substantial absolute momentum effect in the Indian equity market. However, absolute momentum strategies are exposed to occasional severe losses. The proposed time-series momentum approach not only yields 2.5 times higher return than the standard time-series momentum approach but also causes substantial enhancement in downside risks and higher-order moments.

The study's outcomes offer valuable insights for professional investors, capital market regulators and asset management companies.

This study is one of the pioneers attempting to test the time-series momentum effect in emerging economies. Besides, current research contributes to the escalating literature on risk-managed momentum by suggesting a novel revised time-series momentum approach.

Motivated by the debate on the patterns and sources of commodity futures returns, this paper investigates the performance of three investment trading strategies, namely, the momentum strategy of Jegadeesh and Titman (1993), the 52-week high momentum strategy of George and Hwang (2004) and the pairs trading strategy of Gatev et al. (2006) in the commodity futures market.

The three strategies are those given by Jegadeesh and Titman (1993), George and Hwang (2004) and Gatev et al. (2006), respectively.

The authors find that there is no significant reversal profit across 189 formation-holding windows for all the three strategies. However, there are statistical and economically significant momentum profits, and the profitability increases with the rising of formation-holding periods. Momentum returns are quite sensitive to market conditions but the crash of momentum returns is partly predictable. Return seasonality, risk and herding also provide partial explanation of the momentum profits.

The authors are the first to compare the performances of the pairs trading strategy of Gatev et al. (2006), the conventional momentum of Jegadeesh and Titman (1993), and the 52-week high momentum of George and Hwang (2004) under 189 formation-holding windows. Also, the authors are the first to investigate the association between herding behaviour and momentum returns in the commodity futures market.

The purpose of this paper is to re‐examine the sources of momentum profits by focusing on momentum in monthly returns.

The paper utilizes a decomposition method proposed by Du and Watkins.

Different from previous studies, it is found that momentum may have multiple sources, and that risk or behavioral biases in isolation may not be sufficient to explain momentum.

The paper's finding that momentum may be at least partly due to risk is important for investors to understand the risk of momentum investing.

This paper focuses on the sources of momentum profits in monthly returns. The findings that momentum has multiple sources call for new explanations for momentum because all existing theories of momentum are either rational or behavioral. Furthermore, the finding that lead‐lag relationship plays an important role in momentum suggests that researchers should focus on mis‐reaction to common (market‐wide) information to explain momentum as emphasized by Lo and MacKinlay.

The purpose of this paper is to investigate the firm-specific anomaly effect and to identify market anomalies that account for the cross-sectional regularity in the Indian stock market. The paper also examines the cross-sectional return predictability of market anomalies after making the firm-specific raw return risk adjusted with respect to the systematic risk factors in the unconditional and conditional multifactor specifications.

The paper employs first step time series regression approach to drive the risk-adjusted return of individual firms. For examining the predictability of firm characteristics on the risk-adjusted return, the panel data estimation technique has been used.

There is a weak anomaly effect in the Indian stock market. The choice of a five-factor model (FFM) in its unconditional and conditional specifications is able to capture the book-to-market equity, liquidity and medium-term momentum effect. The size, market leverage and short-run momentum effect are found to be persistent in the Indian stock market even with the alternative conditional specifications of the FFM. The results also suggest that it is naï argue for disappearing size effect in the cross-sectional regularity.

Constrained upon the data availability, certain market anomalies and conditioning variables cannot be included in the analysis.

Considering the practitioners' prospective, the results indicate that the profitable investment strategy with respect to the small size effect is still persistent and warrants close-ended mutual fund investment portfolio strategy for enhancing the long-term profitability. The short-run momentum effect can generate potential profits given a short-term investment horizon.

This paper provides the first-ever empirical evidence from an emerging stock market towards the use of alternative conditional multifactor models for the complete explanation of market anomalies. In an attempt to analyze the anomaly effect in the Indian stock market, this paper provides further evidence towards the long-short hedge portfolio return variations in terms of a wide set of market anomalies that have been documented in prior literature.

The purpose of this paper is to show that the level of herding in an industry can be the basis for a profitable investment strategy.

The authors apply three different herding measures in the paper, including cross-sectional standard deviation, cross-sectional absolute deviation and non-linear model – state–space model.

The authors find that industries that experience a high level of herding yield higher subsequent returns regardless of their past performance. Consequently, the authors show that a herding-based investment strategy generates significant profits, even after adjusting for risk. The findings also show that the herding effect when combined with past performance as part of a conditional investment strategy yields significant profits regardless of the formation and holding periods. The findings suggest that the level of herding could serve as a systematic driver of returns and could be exploited for profitable investment strategies.

To the best of authors’ knowledge, this is the first study in the literature to show that herding by itself can serve as a determinant of returns regardless of past performance.

To this day, triple‐entry accounting and momentum accounting are seldom applied. We regret this because of the growing need for more forward‐looking information by management and external stakeholders and the apparent lack of theory and practical solutions. The ever‐increasing pace of the economy incites the need to disclose trends on the microeconomic level of a company. Further to this point, recent developments related to corporate governance, give new imputs to search for the answer to the question if we can improve the reliability and effectiveness of accounting in general, and financial statements in particular. This paper may contribute in to a better understanding of the concept that underpins momentum accounting. We present a notional example concerning the balance sheet ratio: return on equity. This example, so we hope, should encourage practitioners and academics to explore the usability of triple‐entry accounting and momentum accounting as alternative means to provide more forward‐looking information.

The purpose of this paper is to examine the combined performance of momentum and a gross profitability-based strategy. The motivation stems from the strong performance of momentum on the short side and profitability on the long side, suggesting a potentially superior combined strategy. Gross profitability is also a measure of firm quality, so that another motivation is to contribute to a growing literature on factor-based investing that includes momentum and quality as potential factors.

The empirical approach employed in the paper is standard in the asset pricing literature. The firms are sorted into portfolios based on profitability and momentum, and the combined performance is studied through independent double sorting. Both value-weighted and equally weighted returns are reported in case of key empirical results.

The combined strategy results in superior performance. Specifically, the strategy produces results 2.75 greater than the momentum strategy, and about four times as high as the profitability strategy. The strategy also has much higher Sharpe ratio that improves further when combined with size and value strategies.

The research has significant implications for academics and practitioners alike. A new investment strategy that has not been explored in the literature is presented. The superior performance of the strategy presents a challenge for the market efficiency, and would be of interest to academics and practitioners working in the area of investment management.

There has been a growing interest in multi-factor investing in recent years. The paper documents that superior performance is achieved by combining two of the popular factors, namely profitability and momentum.

The research is the first to study the combined performance of profitability and momentum, and provide evidence on the superiority of the combined strategy.