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This study aims to analyze how risk tolerance is influenced by bull and bear market phases, age and professional work experience (PWE) of investors in emerging economies. The authors also analyze how different market phases (bull and bear) influence risk tolerance of investors in emerging economies for different age groups and with varying PWE.

The study uses two quantitative methods, one-way ANOVA and hierarchical regression model (HLM) to analyze individual investors' financial risk tolerance (FRT) in India.

The authors find that age and PWE have positive relationship with FRT behavior. However, interactions of these variables with market phase variable indicate that risk tolerance has nonlinear increasing relationship with investor's age and PWE. The risk tolerance of older investors is consistently high in both bull and bear market conditions, while young investors display a nonlinear risk behavior in different market conditions.

The study suggests that financial planners should include a longitudinal risk profiling of investors based on age groups, PWE and the current market phase to better understand investors' FRT and also to prefer more context-specific advice to investors in emerging economies, which, consequently, result in increasing the retail investors' interest in otherwise sparsely participated equity market.

Interaction effect of bull and bear market phases on relationship between age and PWE and FRT has been scantly studied.

The purpose of this paper is to develop an in-depth contextualized understanding of individual investors’ buying decision in Indian stock market. Specifically, it provides answers to: how do individual investors make buying decision in stock market; and how and when do biases set in during such decisions. The paper also brings forward some aspects of individual’s journey as an investor.

Given the exploratory nature of this study, the paper takes a step away from typically used variance approach and instead uses a process approach. The authors do in-depth one-on-one interview, where each respondent shares his/her lived experiences as an investor retrospectively. To understand buying decision, each respondent is asked to elaborate three significant buying transactions carried out by him/ her in stock market.

Socio-cultural factors are found to have significant influence in inducing respondents to enter market. “Safe” vs “Risky” mental account emerges as the prominent stock categorization done by Indian investors. Three building blocks, namely, Identification, Rationalization and Further Validation emerge as the building blocks that culminate into buying decision of individual investors. The biases are seen to play a dual role in such decisions; as Attention Boosters and Rationales.

This study, to the best of authors’ knowledge, is first of its kind which amalgamates behavioral biases with phenomenon such as attention and Rationalization, to understand “how” behavioral biases set in during buying decision of individual investors.

The role of state intervention in stimulating inner‐city land markets for private‐sector residential development is becoming an increasingly important element of urban regeneration strategies. Considers how fiscal incentives are being employed in inner‐city Dublin to promote investment opportunity in the housing sector. Examines the operation of targeted tax‐based incentives with illustrations to show how a demand‐driven residential property market is being created in locations which were traditionally neglected by investors.

This paper aims to examine the effect of China’s unique household registration system (hukou) on stock market participation.

In an effort to estimate the effect of hukou on households' financial behavior, we draw on data from China Family Panel Studies (CFPS) and use probit model and tobit model to test the effect of hukou on households stock market participation.

The results are with strong interpretative power over the limited participation of stock market in China-investors living in urban areas with urban hukou are more likely to participate in stock markets and allocate a larger fraction of financial assets to stocks and remarkably robust to a battery of robustness checks. The dual structure of social security caused by the household registration system could explain this result. Furthermore, marriage plays such a role of integrating social resources attached to hukou that only the marriage of individuals with urban hukou could significantly promote households' participation in the stock market. For married families, a household in which both husband and wife have urban hukou has a greater possibility to invest in stocks relative to those with rural hukou.

This paper contributes to the literature in two ways. First, much literature focuses on the stock market limited participation puzzle and gives explanations from the perspectives of individual heterogeneity and financial markets. This paper examines the effect of hukou. Such an idea is instructive to some developing countries where residents are treated differently because of the institutional reason. Second, the effects we find are economically meaningful. Our estimates indicate that medical insurance attached to hukou can explain almost 58% of the impact of hukou, which suggests that the key to reforming China's current household registration system is to make welfare separate from hukou. Moreover, homogamy based on hukou widens the gap of households' risky assets, which provides a new view to understand the income gap in the cities of China and the heterogeneous effect of marriage on stock market participation.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

It is imperative for policymakers, financial institutions, and individual investors to comprehend the factors that impact stock market participation, given the growing significance of the stock market in terms of personal and national wealth. This study endeavours to explore the relationship between cognitive ability and participation in the stock market. We examine the relationship between cognitive abilities and stock market participation, and further explore the mechanism of their influence.

The data from the China Family Panel Studies is utilized, and Tobit and Probit regressions are employed. Additionally, an instrumental variable approach (IV-estimate) is implemented to address the endogeneity issue linked to cognitive ability, and the study’s findings are resilient.

The results reveal a significant positive relationship between cognitive ability and stock market participation. Additionally, the findings suggest that households with higher cognitive ability tend to aggregate more information, expand social networks, and take more risks. A likely explanation is that individuals with higher cognitive ability are more likely to process more external information and evaluate the subjective uncertainty of stock markets based on a well-defined probability distribution. Our findings indicate that the impact of cognitive ability on stock market participation varies among families with differing education levels, genders, marital statuses, and geographical locations.

Therefore, the roles of cognitive abilities in accelerating stock market participation should be fully considered. More information channels and sources that contain financial markets’ information (e.g. mobile applications and financial education) should be provided. Thus, the significance of cognitive ability in increasing stock market participation should be fully considered. Providing more information channels and sources, such as mobile applications and financial education, that contain financial markets’ information would be helpful. Our study contributes to promoting financial literacy and inclusion by highlighting the significant positive impact of cognitive ability, where institutions can tailor their outreach efforts and information channels to better serve individuals with different cognitive ability.

The purpose of this paper is to give an overview of business and marketing strategies pursued by responsible property developers, funds and investors in the USA and to draw conclusions for future activities in that sector from a transatlantic perspective.

Personal interviews are conducted with 42 developers, fund providers and managers, institutional, nonprofit and major private investors representing more than US$60 billion of responsible property assets under management. The data are complemented by an analysis of promotional documents. A cluster analysis is performed to classify the strategies of the participating companies and institutions and to explore any commonalities and differences.

Business and marketing strategies in responsible property investment (RPI) can be described and characterised within the three dimensions of location, building and people. RPI activities and investors in the USA usually transcend pure green building and aim to contribute significantly to smart growth, to sustainable urban development and revitalization.

The results in this study are not fully representative of the US RPI community, with the study focussing on the core network of developers, real estate funds and large investors. Furthermore, issues of corporate governance and financial performance are omitted from this study. Interviews are conducted in autumn 2008, i.e. at a time when the major financial crisis reached a global scale, potentially influencing participants' perspectives and subsequent responses.

The findings may help RPI practitioners reflect on business and marketing strategies. European developers, real estate funds and investors can benefit in many respects from US experiences.

The research approach, applied to RPI focussing on business and marketing strategies for the first time, provides new insights for practitioners on both sides of the Atlantic. Above all, the findings may initiate further research to deepen the understanding of the RPI business.

The paper, an exploratory attempt, aims to analyze the perception of individual investors of stock market of Punjab towards investing in stocks vis-à-vis fixed deposits. For the purpose, the most and least influencing variables affecting the decisions of individual stock investors to invest in stocks and fixed deposits were gauged and the comparison for such variables influencing their preferences was conducted.

A pre-tested, well-structured questionnaire which was administered personally and the responses of 241 respondents were analyzed. The responses have been analyzed with the help of weighted average scores method used to identify the most and least influencing variables and paired sample t-test is applied to the data to identify if there exists any significant difference in the variables influencing the investment preferences for stocks (high-risk investment) vis-à-vis fixed deposits (low- and medium-risk investment).

High returns was found as the most important variable while investing in stocks and stability of income as the most important variable while investing in fixed deposits. Religious reason is the only variable found as the least influencing variable for individual investors in Punjab while investing in both avenues, i.e. stocks and fixed deposits. Statistically significant difference exists in perception of individual investors for 22 variables towards the preference for stocks vis-à-vis fixed deposits.

The current research will be helpful for financial service providers in understanding the investment preferences of the individual stock investors on the basis of variables influencing such preferences and suggest them investment options as per their perceptions and needs.

This paper is a first of its kind to empirically compare the variables influencing the preferences for high-risk investments vis-à-vis low-risk investments of individual investors of Punjab, India and contributes to the understanding of the investor behaviour.

The purpose of this paper is to obtain a market-oriented approach to segment individual investors in terms of their attitudes and behaviour towards investment. It also attempts to understand the impact of certain demographic variables like gender, age and education on the behaviour of individual investors in the emerging urban Indian market.

A structured questionnaire was used to obtain a total of 340 valid responses which were collected from March 2016 to August 2016. Factor analysis was used to explore the components. Based on these components, cluster analysis was used to identify different subgroups. Statistical techniques, namely, t-test, analysis of variance and Fisher’s least significant difference test were used to examine the impact of demographic variables.

Factor analysis displayed five components, namely, interest in financial matters, anxiety for money, logical decisions, concern for future and spending tendency. Cluster analysis indicates that individuals can be divided into five clusters based on these components. It further substantiates that gender and education have a significant association with each subgroup.

Individual investor segments that were identified and profiled may provide an opportunity for advisors, financial analysts, organisations and investors to improve investment decision making. In this way, financial service firms can identify and provide services based on group-specific needs.

To the best of the authors’ knowledge, this study is the first of its kind to segment Indian investors into different homogeneous groups based on their attitude and behaviour towards financial matters.