Determinants of the distance between sovereign credit ratings and sub-sovereign bond ratings: Evidence from emerging markets and developing economies

This article explores factors that affect the distance between sovereign credit ratings and the ratings assigned to new foreign-currency bonds issued by sub-sovereign entities (such as private non-financial corporations, financial firms, and public sector enterprises) in 47 emerging markets and developing economies. Censored and double-hurdle regression models are used to estimate the relative contributions of bond-level, issuer-level, and macroeconomic factors that determine this distance, separately for those rated at or below the sovereign rating and those rated above. For the three quarters or more of sub-sovereign bond ratings that are constrained by the sovereign rating ceiling, a Tobit regression model shows a smaller distance – suggesting stronger sovereign–corporate linkages – for public sector enterprises and financial firms relative to other firms. Riskier global financial conditions are also associated with sub-sovereign bonds being rated closer to the sovereign rating. For the small number of sub-sovereign bonds rated higher than the sovereign rating, a double-hurdle model shows that certain debt features – such as bonds backed by future-flow receivables or other collateral or structured as Special Purpose Vehicles (SPV) – significantly raise the likelihood of piercing the sovereign rating ceiling and also increase the distance above the sovereign ceiling.     

GOS tree (Goal-Objective-Strategy tree) approach to strategic planning using a fuzzy-Delphi process: An application to the Indian Shrimp Industry

Setting long-term goals, specifying short-term objectives, and formulating strategies to achieve the objectives are the key elements in a strategic planning process. In this paper, we have used hierarchical relationships among these key elements to propose a Goal-Objective-Strategy (GOS) tree. We have proposed an algorithm to validate the structural relationship between two hierarchically adjacent elements of the GOS tree by getting their feasibility score rated in a five-point linguistic scale with the help of a Delphi questionnaire survey. The linguistic scores were then converted into fuzzy scores and consensus of Delphi experts' opinions on feasibility of various statements were derived mathematically using fuzzy aggregation algorithm. We have applied the GOS-tree-based approach as a tool for strategic planning for the Indian Shrimp Industry that has displayed a cyclic performance in the past and has shown signs of rejuvenation in recent times.     

Incorporating Delphi results in system dynamics models: A case of Indian tea industry

The results of a Delphi study on the future of the Indian tea industry are presented. Most of the information obtained for the study helps in formulating and validating a system dynamics model. The model also considers the occurrence of new events as visualized by the panelists. It is shown, however, that the policies recommended by the panelists yield poor industry behavior when Delphi-predicted new events operate in the environment. This may be due to lack of comprehension of the complexity of interaction between policies proposed and new events visualized by the panelists. On the basis of this investigation, it is proposed that Delphi and system dynamics studies should complement each other in arriving at viable policy decisions.     

Segmenting Markets Along Multiple Dimensions of Luxury Value: The Case of India

abstract

This is one of the first investigations of consumer motivations for purchasing luxury brands in India, a country with an emerging middle class. It identifies four dimensions of luxury benefits for segmenting markets. These include the financial, functional, personal, and social benefits of luxury value. Using data collected from 329 respondents in Mumbai the study identifies nine luxury factors for purchase behavior. These are used for classifying respondents into three behavioral segments using cluster analysis. The first segment appears to buy luxury goods primarily for their snob appeal, the second segment for their prestige appeal, and the third for their value appeal. The results show that while many consumers may buy the same luxury goods, their motivations for doing so differ. The findings should help marketers tailor their messages to specific luxury-seeking segments. There are many papers on luxury brands but very few are from emerging markets. The results may be of great use to global brands that are looking for expansion due to slowdown condition across globe.     

Intrahousehold moral hazard frictions and household poverty traps in rural India

We empirically study the role of assets held by women in the creation of household wealth using data from rural India. We design a streamlined model of intrahousehold project funding where moral hazard frictions between spouses and women's asset control are the main ingredients. As predicted by the model, the data show that household asset accumulation depends on women's asset control in a non-monotonic way. Results indicate no presence of multiple equilibrium poverty traps, but do show that exogenous negative shocks will trigger assets aggregation within households where both spouses are present. This resilience mechanism is, however, not found in female headed household as these households have a monotonic relationship between women's wealth control and asset creation. We thus argue that policies to support women's empowerment need to distinguish women based on their individual wealth levels and headship status to enhance household well-being in remote Indian communities.