Search results

The disposition effect remains one of the most significant investor behavior puzzles. This study aims to consolidate the knowledge, explore current dynamics, elicit trends and offer future research directions to demystify the disposition effect.

This study applies the hybrid review method. It first used bibliometric analysis (212 documents), followed by content analysis (54 articles) to analyze the breadth and depth of literature on the disposition effect.

This study presents performance analysis and science mapping. It identifies five main research streams: evidence, implications and mitigation techniques; theoretical explanations; investor biases and hedonic framing; attributes, beliefs and preferences; and implications for asset pricing and market efficiency. This study further offers future research directions for disposition effect research.

This study deploys sequential bibliometric and content analysis. A meta-analysis of quantitative articles could provide specific insights regarding the disposition effect. Besides, this study is based on Scopus-indexed journals only.

This study benefits investors and portfolio managers as they learn effective ways to guard against the disposition effect. Policymakers may tweak tax laws to incentivize long-term holding, and regulators can run investor education campaigns to minimize the disposition effect’s consequences effectively.

To the best of the authors’ knowledge, this is probably the first hybrid review of high-quality, contemporary articles on the disposition effect that offers science mapping, research streams, future research directions and a succinct summary of theories, contexts, characteristics and methods deployed in the field of research.

The portfolio of low-risk stocks outperforms the portfolio of high-risk stocks and market portfolios on a risk-adjusted basis. This phenomenon is called the low-risk effect. There are several economic and behavioral explanations for the existence and persistence of such an effect. However, it is still unclear whether specific sector orientation drives the low-risk effect. The study seeks to answer the following important questions in Indian equity markets: (a) Whether sector bets or stock bets mainly drive the low-risk effect? (b) Is it a mere proxy for the well-known value effect? (c) Does the low-risk effect prevail in long-only portfolios?

The study is based on all the listed stocks on the National Stock Exchange (NSE) of India from December 1994 to September 2018. It classifies them into 11 Global Industry Classification Standard (GICS) sectors to construct stock-level and sector-level BAB (Betting Against Beta) and long-only low-risk portfolios. It follows the study of Asness et al. (2014) to construct various BAB portfolios. It applies Fama–French (FF) three-factor and Fama–French–Carhart (FFC) four-factor asset pricing models in addition to Capital Asset Pricing Model (CAPM) to examine the strength of BAB, sector-level BAB, stock-level BAB and long-only low-beta portfolios.

Both sector- and stock-level bets contribute to the return of the low-risk investing strategy, but the stock-level effect is dominant. Only betting on safe sectors or industries will not earn economically significant alpha. The low-risk effect is unique and not a value effect in disguise. Both long-short and long-only portfolios within sectors and industry groups deliver positive excess returns. Consumer staples, financial, materials and healthcare sectors mainly contribute to the returns of the low-risk effect in India. This study offers empirical evidence against the Samuelson (1998) micro-efficient market given the strong performance of the stock-level low-risk effect.

The superior performance of the low-risk investment strategies at both stock and sector levels offers investors an opportunity to strategically invest in stocks from the right sectors and earn high risk-adjusted returns with lower drawdowns over an entire market cycle. Besides, it paves the way for stock exchanges and index manufacturers to launch sector-specific low-volatility indices for relevant sectors. Passive funds can launch index funds and exchange-traded funds by tracking these indices. Active fund managers can espouse sector-specific low-risk investment strategies based on the results of this and similar other studies.

The study is the first of its kind. It offers insights into the portfolio characteristics and performance of the long-short and the long-only variant of low-risk portfolios within sectors and industry groups. It decomposes the low-risk effect into sector-level and stock-level effects.

This paper aims to examine the impact of announcements related to 77 interventions by 46 listed Indian pharmaceutical firms during COVID-19 on the abnormal returns of the firms. The study also finds the variables which explain cumulative abnormal returns (CARs).

This study uses standard event methodology to compute the abnormal returns of firms announcing pharmaceutical interventions in 2020 and 2021. Besides this, the multilayer perceptron technique is applied to identify the variables that influence the CARs of the sample firms.

The results show the presence of abnormal returns of 0.64% one day before the announcement, indicating information leakage. The multilayer perceptron approach identifies five variables that explain the CARs of the sample companies, which are licensing_age, licensing_size, size, commercialization_age and approval_age.

The study contributes to the efficient market literature by revealing how firm-specific nonfinancial disclosures affect stock prices, especially in times of crisis like pandemics. Prior research focused on determining the effect of COVID-19 variables on abnormal returns. This is the first research to use artificial neural networks to determine which firm-specific variables and pharmaceutical interventions can influence CARs.

This study examines current dynamics, consolidates current knowledge, elicits trends, identifies and analyzes primary research clusters, offers future directions, and develops an integrated framework for Product Advantage (PA) research.

Using the SCOPUS database, this study applied bibliometric analysis (208 articles) and conducted content analysis on the 35 curated articles selected using a combination of bibliographic coupling and the most cited articles.

This study presents the field’s publication trends, most relevant authors, articles, journals, and knowledge structures. It identifies six primary research themes and four major clusters using the thematic map and bibliographic coupling. Marketing and PA, New Product Development (NPD) and PA, Product Innovation and PA, and New product speed and PA are the main clusters. Finally, this study offers directions for future research and provides an integrated framework for PA research.

By developing an ADO framework of PA, the study offers key insights into how PA shapes product outcomes and identifies key antecedents of PA. Firms must focus on firm factors such as market and technological orientation; product factors, such as development time and pre-announcement proficiency; external factors, such as competition; and environmental factors, such as competitive intensity and technological turbulence. It enables firms to create products with high PA, shaping product outcomes and contributing to their competitive advantage.

This is the first study to conduct a two-stage sequential hybrid review of quality articles on PA. It offers an Antecedents-Decisions-Consequences (ADO) framework based on significant studies and offers cluster-wise directors for future research.

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.

The learning outcomes of this study are as follows:1. Learn to analyze a hostile takeover bid from the perspectives of the acquirer, target firm’s management and a large institutional investor in the target firm.2. Review the structuring, financing, valuation, mode of consideration, legal and regulatory aspects of a hostile takeover.3. Understand the role of the target firm’s board in a hostile takeover transaction.4. Address “to sell or not to sell” dilemma of a large institutional investor in the target firm in the event of a tender offer given financial and non-financial considerations.

On June 14, 2019, Pulak Prasad, Founder and Chief Executive Officer (CEO) at Nalanda Capital, in consultation with other managing partners at Nalanda Capital, had to decide whether to tender a 10.6% equity holding in Mindtree Ltd. in an unsolicited open offer made by Larsen and Toubro (L&T) Ltd. Until then, Nalanda Capital, led by Prasad, had aligned with the Mindtree founders and had led a campaign to thwart L&T’s bid to acquire Mindtree; L&T’s offer to acquire 31% of Mindtree shares was because of open on June 17, 2019 and it is time for Prasad and the management team to take a reasoned call – whether to stay in Mindtree or to exit? Associated aspects included – What could be the consequences of not selling the stake? What could be L&T’s game plan? Could Mindtree continue to create wealth for its shareholders under L&T?

This case is appropriate for Mergers & Acquisitions and Strategic Financial Management courses in modules focused on structuring, financing and takeover defence techniques in a hostile takeover transaction. The case is appropriate for graduate MBA and EMBA programmes.

Teaching notes are available for educators only.

CSS 1: Accounting and Finance.

This study examined the impact of war/conflict-related news on the Russian and Ukrainian stock markets in the build-up and beginning of the war that sparked in the year 2022.

In order to examine the impact of war-related news on stock returns, data were gathered from the United States (US) and Russian stock indices, oil price and volatile index (VIX) from Yahoo.finance; Ukrainian stock values from pfts.ua website and daily related news retrieved from nexis.com were analysed. The data were gathered from January 1, 2022 to February 24, 2022. Seeming unrealated regressions (SUR) and exponential generalised autoregressive conditional heteroscedastic (EGARCH) models were carried out to determine the formulated correlations. This study controlled the oil price, US stock returns, Chicago Board Options Exchange (CBOE) VIX and difference in stock returns of Russia and Ukraine.

The results are presented two-fold: first, war-related news between the two countries enhanced volatility and caused a significant decline in the stock market indices for both countries. Second, the Russian stock market faced a steeper decline in the build-up and the actual beginning of the war than the Ukrainian stock market. Notably, the Russian markets feared the adverse economic consequences that stemmed from the sanctions the US and the Western world imposed.

As this study was based on early evidence, future studies with a longer window may provide better insights. This present study is restricted to the stock returns of the countries directly involved in the build-up towards war. Studies focusing on the impact of other asset classes, currencies, commodities and global stock markets might offer holistic insights.

The study outcomes suggest that global portfolio investors should stay away from stock markets of the war-raged countries and equity markets in general, but instead look for safe-haven assets.

The paper evaluates stock markets' performance during the pre-war period, considering the context of this historical war between the neighbours. It is important to understand this issue as this war is subject to sanctions by the US and leads to a global supply chain crisis.

This study aims to examine current dynamics, consolidates knowledge, elicits trends, identifies and analyses primary research streams and suggests future research on product attributes and benefits and consumer behavior.

Sequential bibliometric (447 documents) and content analysis (34 documents) methods are used to analyze Scopus bibliographic data. Content analysis helps identify research streams and future research directions, while bibliometric analysis aids descriptive analysis and science mapping.

The study shows publication trends, top authors, documents, institutions and field knowledge structures. The thematic map and bibliographic coupling reveal six main themes and three major clusters. Consumer motivation, external factors and internal factors are the main clusters. The study concludes with research directions and an integrated framework showing major cluster interactions.

The study summarizes key primary streams and identifies literature gaps to help scholars and marketers understand how product benefits and attributes influence consumer behavior. Online decision aids (ODA), neuroscience data collection and consumer behavior models in developing countries may be studied in the future.

The first hybrid review of quality articles published over two decades on product attributes and benefits synthesizes the field's research. The study is unique because it identifies and analyses research streams, develops an integrative framework to reveal interlinkages across streams and suggests future research directions.

Corporate finance, strategic financial management, financial innovation and financial engineering.

The case is suitable for graduate level management students.

In early April 2011, Mr Ramakrishnan, the CFO of Tata Power Ltd and members of his team were busy re-evaluating fundraising options for financing Tata Power's capital expenditure requirements, for refinancing of debt, for working capital related to current projects and for liquidity to support potential acquisition bids. The team had the task of evaluating different innovative funding options as the challenge was to strike a fine balance between maintaining the owners' equity without dilution of control and avoiding any adverse impact on credit rating that could increase the cost of capital; these constraints reduced flexibility for fund raising. Keeping in mind the global market scenario and estimating the investor appetite were factors critical to the structuring of a funding instrument.

The case will help students to be comfortable in thinking about evaluating markets, financial instruments and weigh rating considerations and regulatory constraints for taking capital structure decisions.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

The study aims to consolidate knowledge, explore current dynamics, understand knowledge progression, identify primary research streams, present content analysis and provide future research directions for green bonds research.

The authors reviewed 150 high-quality Scopus-indexed articles on green bonds in two stages. First, they use bibliometric analysis to understand the field's most relevant articles, authors, institutions and journals. Second, they analysed 49 curated articles to identify and analyse primary research streams and offer research directions.

The authors report the most influential articles, authors, journals and clusters based on article co-citation networks. They identify five green bond research streams: issuance, greenium and its drivers, connectedness, drivers and barriers, and sustainable development.

Using different databases, tools, sample periods or article screening criteria may yield different results. The study's findings are robust to document selection or analytical tools.

The study helps researchers, practitioners, regulators, policymakers, issuers and investors understand green bond issuance, pricing and connectedness research.

This unique study sheds light on publication trends, the most influential articles, authors, journals and the conceptual and intellectual structure of the field. It identifies and elaborates primary research streams, succinctly summarizes the most influential articles and offers future research directions.