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The study examines the role of a country's legal system in predicting the corporate cash holdings using a sample of 18 countries inherited with distinct legal traditions. The central point of the study is the comparative assessment of legal frameworks in shaping the corporate finance policies.

The authors employ host of regression techniques including dummy variables, panel data regression and Fama–MacBeth regressions to establish the relationship.

The study results support the idea of “theory of law and finance” that legal tradition is a key factor determining corporate behaviour and policy. In particular, the authors observe that firms operating in civil law systems hold significantly higher cash as compared to their peers from common law systems. Moreover, the authors report that the law system affects the corporate cash holdings through the channels of economic development and shareholder's protection, yet in opposite directions. This is because the authors find that in developed countries where civil law tradition prevails, firms hold reasonably higher cash. Moreover, if the firm belongs to high investors' protection country with civil law traditions, the cash holdings get substantially reduced. Besides, the authors find that the predictability of widely held determinants of cash holdings is not invariant of law traditions, and it holds true also when analysed in conjunction with the financial crisis. Overall, the authors find support for their postulation that corporate cash management policies are likely to be different across legal traditions. The study results are robust to the controls for various firm and country-specific antecedents of cash holdings and to the alternate econometric techniques.

The study findings would encourage the government and firm policymakers and regulators in strengthening the investor protection rights which would further augment the legal system and firm-specific corporate governance mechanisms. This would mitigate agency issues and managers would be forced to undertake investor-friendly financial policies especially corporate cash holdings which would be resulting into shareholder value maximization.

The study contributes uniquely since the existing literature is largely silent on the role that legal tradition of a country has on the cash holdings of its firms.

The authors examine the stability of dividend payout and the consistency in its predictability using sample of firms from 18 different countries amid their prevailing heterogeneous formal institutions (such as the legal system, corporate governance), the distinct state of economic development (developing vs developed) and changing times (during the crisis vs the noncrisis periods).

The authors use tobit regression models with distinct specifications for the authors’ investigations. The authors alternately analyze the study’s results using Fama–Macbeth (FM) (1973) and generalized least square (GLS) regressions.

The authors show a sharply declining stability in dividend payout with time using DeAngelo and Roll’s (2015) framework. In terms of predictive consistency, the authors report that only a few idiosyncratic factors predict dividends consistently, and these results hold qualitatively true across the robustness analysis. The firm's liquidity appears to be the most consistent predictor of dividends payout, whereas firm's size being on the other extreme. The results signify that the idiosyncratic factors that matter for firm's dividend policy are not country specific. Instead, it reveals commonality of predictors grounded on characteristics of countries such as legal environment, investor's protection, economic state (ES) and economic cycle.

The authors contribute to the dividends literature by providing the evidence of dividend instability through time and disapproving the stylized fact of sticky dividends. Besides, the authors provide international evidence of inconsistent predictability of dividends.

This paper aims to examine the weak form of efficiency for price series of four precious metals, i.e. gold, silver, platinum and palladium, using a generalized spectral method.

The method has the advantage of detecting both linear and non-linear serial dependence in the conditional mean, and it is robust to various forms of conditional heteroscedasticity. The authors use three different rolling windows for the purpose of robustness.

The authors report weak form of efficiency across metals series for almost all rolling windows. The optimum efficiency for Gold and Palladium is achieved through 250 days rolling window estimates whereas it is 500 days rolling window for silver. Platinum has similar efficiency levels across rolling windows. The degree of efficiency for metal prices is observed to be varying over time with silver market possessing highest levels of efficiency. The efficiency synchronization also varies across rolling windows and metals.

The results reveal that metal markets are efficient for most times implying the low predictability and the low likelihood of earning abnormal returns by speculating in these markets.

The study uses a relatively new statistical technique, the generalized spectral test, to capture linear and non-linear serial dependence. Therefore, the results possess adequate power against departure from market efficiency.

This study investigates if the widely held predictors of corporate leverage exhibit predictive consistency through times and across countries amidst country heterogeneities such as legal principles, state of economic development and protection of investors’ rights.

We employ financial data for 3,197 unique firms from eight emerging and ten developed countries during the years 2001–2017 and use Tobit regression models, a two-step Fama−MacBeth(1973) regression and panel data regression techniques in order to ensure the robustness of estimates.

We find that firms in the civil French law system exhibit the highest average of a debt (around 27%), whereas firms based in high investors’ protection environment and in developed nations borrow significantly less than their counterparts. Furthermore, among predictors, including a firm's payout ratio, it returns on equity and the cash ratio except the P/B ratio have varying predictability for a corporate debt when firms are classified based on law systems, investors’ rights and the economic scenarios. The crisis period significantly affects the relationship of debt levels with legal systems, investors’ rights and economic development scenario. The author’s estimates are robust to alternate analysis.

This study is unique in its methodological approach and involves a considerably large number of countries and a longer study period for the results to be more generalizable compared to other existing studies.

Purpose branding is a concept that has gained momentum in recent years. It is a marketing innovation that has the potential to change why and how companies work. Still, academic research on purpose branding is scarce. This paper aims to increase awareness about purpose branding and showcase how it can be implemented successfully through account of Hindustan Unilever Limited (HUL).

The study is based on qualitative research and case analysis of HUL by examining its published reports, its parent company’s trade publications, press articles and relevant studies in indexed journals.

Purpose branding is a marketing innovation that delivers increased value to all stakeholders. The account of HUL reveals that purpose branding reaps economic rewards for the organization.

A study by Havas Media group involving 300,000 customers across 33 countries found that the customers would not care if 74% of brands in the world disappeared. In such a context, purpose branding provides a way to make the brand meaningful and play a worthy role in consumers’ lives. HUL’s brands that used this approach grew by 69% and accounted for 75% of its overall growth, showing how other organizations can imbibe it into their brands.

Despite many trade publications on this trending topic, there is limited academic research on purpose branding. This paper focuses on understanding this concept and demonstrates its successful use by an organization.

The existing literature contains few references on the better adaptors of online distance education amongst STEM (read as science, technology, engineering and mathematics) and non-STEM (composed of humanities, social science and commerce) study groups in an Indian peri-urban context. The study's objective is to determine the better adaptor amongst these two study groups in online distance learning in higher education systems in an Indian peri-urban context.

The investigation was carried out prior to COVID-19 and during the pandemic. The inquiry is triangulated in nature with a disproportionate stratified random sampling approach used to pick 312 post-graduate students (STEM = 135 and non-STEM = 177) from a peri-urban higher education institute in West Bengal, India, using the “Raosoft” scale. Given the prevailing social distance norms, 235 samples of respondents from 312 students were evaluated via telephonic/online interviews during the COVID-19 period. The data were analysed using SPSS 22.

This study's investigations reveal that the STEM respondents have better digital profiles, better basic computing and Internet knowledge and greater digital usage for academic purposes before the pandemic times than the non-STEM group. This prior digital exposure has enabled the STEM group to cope with regular online distance education during the pandemic more quickly than the non-STEM group, as evidenced by their regular attendance in online classes and their greater awareness of its utilitarian role than the other group.

The study offers a way forward direction to evolve with more inclusive online distance learning in peri-urban Indian regions.

The purpose of this paper is to integrate drivers of economic performance with environmental management aspects and core managerial functions of the Indian coal mining industry.

For this research paper, primary and secondary data have been used. The primary data were collected through a questionnaire survey which was distributed in the four subsidiaries of Coal India Limited. The validity and reliability of the questionnaire were tested by appropriate statistical techniques. Further, one-sample t-test and multiple linear regression analysis have been used for data analysis.

Testing of hypotheses reveals that there is a high level of integration of environmental management aspects with the seven core managerial functions, namely, production process, distribution process, beneficiation process, quality issues, stakeholders’ interest, health and safety and corporate strategy. Further, the paper identified that there is a positive association between integration of environmental aspects with core functions and the four drivers of economic performance and it is strongly associated with societal-related and risk-related drivers of economic performance. But it is less strongly associated with image-related and efficiency-related drivers of economic performance.

This paper focuses on integrating the environmental management and core functions with key drivers of economic performance in coal mining industry which is one of the most polluting industries of the world. The limitation of the paper is that it is very specific and limited to the coal mining industry.

The paper contributes to the existing work by designing a framework which identifies the key drivers of economic performance and integrating it with the environmental management system of the organisation.

The specific learning objectives of the case are as follows: To contribute to the knowledge of environmental challenges faced by various financial companies while trying to foray into the rural markets, especially in case of insurance products’ expansion strategy; to understand the distribution strategy adopted by insurance companies in rural as well as urban markets; to apply the concepts such as mental accounting, designing and pricing of insurance products to develop an effective strategy for insurance products targeting the rural market; to be able to analyse the data available on products and the rural market structure that enables the students to derive from an implementable managerial framework and design an effective rural market strategy for insurance products; and to enable the students to evaluate the key rural market drivers, which will subsequently help them to develop a new structure of rural distribution channel.

ICICI Prudential Life Insurance Company Limited (IPRU) was trying to reach the last mile customers of rural India to tap the opportunity and meet the Indian Government's statutory requirement of financial inclusion. Even though the leadership of IPRU was optimistic about the untapped potential of rural India, and launched a separate business vertical - Rural Business Channel (RBC) in the year 2002 to cater to this target segment, yet it faced many strategic issues while foraying into the rural domain. The company struggled with both the designing of products as per the rural customers' needs, as well as the distribution of these products in rural areas. The present case study is an attempt to bring out the strategic challenges that were faced by the IPRU management, with a major focus on designing, pricing and distribution of rural insurance products. The case study will help the readers in understanding what might go wrong while entering new rural markets and how to deal with these challenges.

The case study can be used to teach both undergraduate and postgraduate management students.

Teaching Notes are available for educators only.

CSS 8: Marketing.

The twin objectives of power sector reforms in India – improving efficiency and attracting private investment – are far from being achieved. It is commonly acknowledged that competition in the sector can help achieve the objectives of the reforms, but although the Electricity Act of 2003 promised to usher in competition, even after seven years of its enactment there is very little competition in generation and absolutely no competition in retail supply. This paper seeks to find a road map for the introduction of competition in the power sector in India by discussing and drawing upon the US model of deregulating generation and retail supply whilst simultaneously keeping transmission and distribution under regulation.

The study is a historical analysis of deregulation in the US power sector and its relevance for India by drawing upon both primary and secondary resources.

The introduction of competition in the USA has brought substantial gains for the consumer and India can follow this model by mandating all distribution utilities to procure their future requirement of power through open competitive bidding. For retail competition, the system of provider of last resort (POLR) with POLR price being fixed with reference to market price can be the way forward.

This paper offers some practical and implementable suggestions for introducing competition in the power sector in India.

This research paper reports a novel genetic algorithm (GA)‐based approach for reconfiguration of radial distribution networks for real loss minimization and power quality improvement.

A fuzzy controlled GA has been used for efficient reconfiguration of radial distribution systems for loss minimization and power quality improvement. The special features of the proposed algorithm are: an improved chromosome coding/decoding for network representation so as to preserve the radial property without islanding any load after reconfiguration and an efficient convergence characteristics attributed to fuzzy controlled mutation.

The proposed network reconfiguration algorithm is very much effective in arriving at the global optimal solution (minimum loss network structure) because of efficient search of the solution space. Also, no invalid chromosomes are generated in the genetic evolution because of appropriate coding/decoding. The algorithm is found to be very much suitable for real time implementations.

This research paper provides the power distribution engineers with a computationally efficient approach for optimal operation of distribution systems.

The algorithm proposed in this paper is computationally much faster compared to most of the present day mathematical programming approaches for distribution system operation. This makes it very much attractive for online implementations in any radial distribution network.

This paper has proposed a novel chromosome coding/decoding technique for radial distribution system and a fuzzy logic‐based mutation probability controller for efficient search of global solution space to be used in GA‐based optimal operation of radial distribution systems.