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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.

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 financial technology (FinTech) era has brought a revolutionary change in the financial sector’s customer experiences at the national and global levels. The importance of artificial intelligence (AI) in the context of FinTech services for enriching customer experiences has become a new norm in this modern era of technological advancement. So, it becomes crucial to understand the customer’s perspective. The current research ranks the factors and sub-factors influencing customers’ perceptions of AI-based FinTech services.

The sample size for this study was decided to be 970 respondents from four Indian cities: Mumbai, Delhi, Kolkata and Chennai. The Fuzzy-AHP technique was used to identify the primary factors and sub-factors influencing customers’ experiences with AI-enabled finance services. The factors considered in the study were service quality, trust commitment, personalization, perceived convenience, relationship commitment, perceived sacrifice, subjective norms, perceived usefulness, attitude and vulnerability. The current research is both empirical and descriptive.

The study’s three top factors are service quality, perceived usefulness and perceived convenience, all of which have a significant impact on customers’ experience with AI-enabled FinTech services discussing sub-criteria three primary criteria for customers’ experience for FinTech services include: “Using FinTech would increase my effectiveness in managing a portfolio (A2)”, “My peer groups and friends have an impact on using FinTech services (SN3)” and “Using FinTech would increase my efficacy in administering portfolio (PU2)”.

The current study is limited to four Indian cities, with 10 factors to understand customers’ preferences in FinTech. Further research can focus on other dimensions like perceived ease of use, familiarity, etc. Future studies can have a broader view of different geographical locations and consider new tech to understand customer perceptions better.

The study’s findings will significantly assist businesses in determining the primary aspects influencing customers’ experiences with AI-enabled financial services. As a result, they will develop strategies and policies to entice clients to use AI-powered FinTech services.

Existing AI research investigated several vital topics in the context of FinTech services. On the other hand, the current study ranked the criteria in understanding customer experiences. The research will substantially assist marketers, business houses, academicians and practitioners in understanding essential facets influencing customer experience and contribute significantly to the literature.

This comprehensive study aims to take a punctilious approach intended to present qualitative and quantitative knowledge on the emerging concept of noise trading and identify the emerging themes associated with noise trading.

This study combines bibliometric and content analysis to review 350 publications from top-ranked journals published from 1986 to 2020.

The bibliometric and content analysis identified three major themes: the impact of noise traders on the functioning of the stock market, traits of noise traders and different proxies used to measure the impact of noise trading.

This study undertakes research papers related to the field of finance, published in peer-reviewed journals and that too in the English language.

This study shall accommodate rational traders, portfolio consultants and other investors to gain deeper insights into the functioning of noise traders. This will further help them to formulate their trading/investment strategies accordingly.

The successful combination of the bibliometric and content analysis revealed major gaps in the literature and provided future research directions.

The advocates of behavioural finance have denounced the existing literature on investors’ rationality in the decision-making process and questioned the existence of efficient markets and rational investors. Although diversified research has been conducted in the area of behavioural finance, yet there is a need of further explorations into the field as the available knowledge base is confined to one or a few behavioural biases confronted by investors while making investment decisions. Hence, this study aims to develop a comprehensive, reliable and valid scale to measure the behavioural biases affecting investors’ decision-making process.

To develop a comprehensive, reliable and valid scale for measuring the behavioural biases affecting investors’ decision-making process, rigorous multi-stage scale development methodology has been followed. Stage one started with an extensive review of the literature followed by interviews from experienced stockbrokers to clarify construct and getting novel insights about dimensions of behavioural biases. In stage two, 52 items measuring the dimensions of behavioural biases were generated and got evaluated from panel of judges. Pilot testing was done in the third stage which gave a set of 39 items. Finally, in fourth stage, data were collected from 332 individual equity investors on a 7-point Likert scale using the snowball sampling technique.

The results of the study highlighted that behavioural biases is a multidimensional phenomenon that significantly affects investors’ decisions and has different dimensions, namely, Availability Bias, Representativeness Bias, Overconfidence Bias, Market Factors, Herding, Anchoring, Mental Accounting, Regret Aversion, Gamblers’ Fallacy and Loss Aversion. The present research has developed a comprehensive, reliable and valid scale for measuring behavioural biases affecting equity investors’ decision-making process.

Behavioural finance is an emerging area in the field of research particularly in the Indian context which needs further exploration. The present research concentrates on rendering an empirically tested scale to the researchers for measuring the behavioural biases and its impact on investor’s decision-making. Such an instrument can contribute to making progress in the area of behavioural finance and other research studies may also find it useful to achieve their goals.

Research in the area of behavioral finance has demonstrated that investors exhibit irrational behavior while making investment decisions. Investor behavior usually deviates from logic and reason, and consequently, investors exhibit various behavioral biases which impact their investment decisions. The purpose of this paper is to rank the behavioral biases influencing the investment decision making of individual equity investors from the state of Punjab, India. This research would provide valuable insight into the different behavioral biases to investors and other participants of the capital market and help them in improving investment decisions.

The research is conducted on the individual equity investors of Punjab, India. Fuzzy analytic hierarchy process was applied to rank the factors influencing the decision making of individual equity investors of Punjab. The primary factors considered for the study are overconfidence bias, representative bias, anchoring bias, availability bias, regret aversion bias, loss aversion bias, mental accounting bias and herding bias.

The three most influential criteria were herding bias, loss aversion bias and overconfidence bias. The five most influential sub-criteria were “I readily sell shares that have increased in value (C61),” “News about the company (Newspapers, TV and magazines) affects my investment decision (C84),” “I invest each element of my investment portfolio separately (C71)” and “I usually hold loosing stock for long time, expecting trend reversal (C52).”

Although sample survey conducted in the present study was based on a limited sample selected from a particular area that truly represented the total population, it is considered as the limitation of this study.

The outcome of this research provides investors with a better understanding of behavioral biases that influence their decision making. This study provides them a guideline on different behavioral biases that they should consider while making investment decisions.

The research model is based on the available literature on behavioral finance and the research results and findings would add value to the existing knowledge base.

Purpose: The purpose of the present study is to synthesize and organize existing literature on contagious diseases and tourism. This systematic mapping of the literature helps to identify various mature and emerging themes around the research domain in the literature.

Design/Methodology/Approach: The study uses systematic methodology along with bibliometric and content analysis. Using a combination of electronic database searching and forward and backward references searching, the study identifies 160 suitable published studies.

Findings: Initial bibliometric analysis reveals that Tourism Geographies and Tourism Management are most influential journals and Law and Lee are most influential authors working on this field. The Hong Kong Polytechnic University and Universiti Sains Malaysia are among the top contributing educational and research organizations. Further, the content analysis reveals that literature on contagious diseases and tourism industry revolves around three prominent themes namely SARS and other contagious diseases, crisis management and tourism forecasting.

Research Limitations/Implications: The study does not consider ‘grey literature’ and conference proceedings.

Originality and Value: Present study is one of the early attempts that analyzes the literature on contagious diseases and tourism using bibliometric analysis and contributes to the literature by identifying various mature and emerging on contagious diseases and tourism literature. These insights provide a robust map for future investigation in this field and also offer implications for practitioners.

Generating meaningful employment has become a major concern for countries across the globe to break the vicious circle of poverty. Employment creation becomes more intricate in a developing economy like India where the population is at an incessant rise, without a simultaneous increase in the employment generation. In the event of situations of mounting unemployment, micro small and medium enterprises (MSMEs) being largely labour-intensive have been claimed as a significant contributor in an economy’s development to induce employment generation. The study at hand is an attempt to gauge the overall contributions of MSMEs in employment creation in Assam, a developing region of the Indian sub-continent. However, most importantly, the purpose of this paper is to determine if men and women are differently employed in the sample MSMEs and if the pattern of employment creation is different across male and female-owned sample MSMEs.

The study is based on a uniquely large sample of 320 MSME entrepreneurs with an equal representation of 160 each from male and female entrepreneurs. Secondary data sources were also consulted. Study areas comprising Kamrup-Metropolitan and Kamrup-Rural, depicting both urban and rural Assam, respectively. The choice of activities undertaken by the entrepreneurs includes a wide variety of 12 activities pertaining to all the MSME entrepreneurs in general and certain gender-specific in particular. The two hypotheses (H01 and H02) formulated were tested using the Chi-square test and the Mann-Whitney U test. Furthermore, the growth rate of employment generation in Assam along with the growth rate of the number of MSMEs established and investment made by the MSMEs were computed.

The calculated growth rate of employment creation, capital investment and MSMEs established were found to be positive. Based on the results of the Chi-Square test and Cramer’s V test, this paper establishes a strong association between the MSMEs and the total employment generation by the sample entrepreneurs (H01). The primary data suggested that 320 MSMEs are Employing 2,766 people in the study area with an average of 8 people per unit. Employment in the service sector is higher than the manufacturing units with an average of 4 people per unit. Another vital finding of the study professed that the women-owned MSMEs have a relatively lesser number of people (32.2%) employed than their male counterparts (67.8%). The mean rank of male entrepreneurs is considerably higher (211.49) testifying a higher employment creation by the male-owned MSMEs than the women-owned (H02). Moreover, women (33.4%) are thinly employed than men (66.5%). Women entrepreneurs were seen to have mostly limited themselves in micro-units followed by small-units. In terms of the nature of employment, full-time employees (81.8%) supersede part-time employees (6.6%). The pattern of self-employment is equal (5.8%) across both male and women entrepreneurs. MSMEs have been well identified as an impeccable answer to mitigate the problem of mounting unemployment.

The novelty of the study lies in its meticulous and explicit understanding of the employment scenario in Assam by the MSMEs. Empirical works on employment creation by the MSMEs in Assam were fundamentally based on secondary data sources. The study fills in the gap by providing a holistic picture of employment creation based on both primary and secondary data, but prominently on the primary. The study accounts details about the nature of MSME employment, the gender of the MSME employees, employment creation by male and female MSME entrepreneurs, the growth rate of MSME employment and self-employment to name a few

India has one of the more progressive disability frameworks in the developing world which tends to adopt western philosophies and principles (e.g. parent participation and advocacy) which to some degree mirrors the type of service delivery in the UK. The purpose of this paper is to adopt a cross-cultural perspective to explore caregiving amongst parents caring for a child with intellectual/developmental disabilities in India.

Three focus groups were used to interview parents at Action for Autism (AFA) located in Delhi, India. The focus groups explored how disability is encountered within an Indian context.

Two main themes were identified in the parents narratives which were “making the decision to get help” and “seeing disabilities in from a new perspective”. Family members played an important role in the decision to get help and acted as a platform for mothers to explore their own concerns. Seeing disability from a new perspective was a four stage process which included initially accepting the diagnosis and their child; regaining control through parenting skills training; witnessing positive changes in their children and themselves and reaping personal benefits as a result of their involvement with AFA.

The research is very small scale and focused on parents in a specific organisation, as a consequence the results cannot be generalised.

The discourses of these individuals do provide a useful insight into the provision of services to children in India and provide a starting point for cross-cultural understanding of parenting children with disabilities.