High Capital Mobility and Precautionary Demand for International Reserves

The volatility of reserve increment and the opportunity cost of holding reserves play prime role in models of optimal demand for foreign reserves. Most empirical studies find significant rise in the response of reserve demand to volatility during the era of high capital mobility. In contrast, we find that volatility measured as rolling standard deviation of reserve increment provides upwardly biased estimates whereas conditional volatility derived from GARCH models eliminates such bias and provides elasticity estimate closer to the prediction of buffer stock model (0.5). Though the time varying elasticity estimates derived from Kaiman filter exhibit a sharp rise during crises period, it does not exceed theoretical prediction. The RBI’s intervention policy seems to be asymmetric; leaning with wind when rupee depreciates and leaning against wind when rupee appreciates. This evidence seems to indicate that the policy of exchange rate stability had an in-built objective of providing a competitive edge to exporters.

     

Modelling the dynamics of Bitcoin and Litecoin: GARCH versus stochastic volatility models

We examine and compare a large number of generalized autoregressive conditional heteroskedastic (GARCH) and stochastic volatility (SV) models using series of Bitcoin and Litecoin price returns to assess the model fit for dynamics of these cryptocurrency price returns series. The various models examined include the standard GARCH(1,1) and SV with an AR(1) log-volatility process, as well as more flexible models with jumps, volatility in mean, leverage effects, t-distributed and moving average innovations. We report that the best model for Bitcoin is SV-t while it is GARCH-t for Litecoin. Overall, the t-class of models performs better than other classes for both cryptocurrencies. For Bitcoin, the SV models consistently outperform the GARCH models and the same holds true for Litecoin in most cases. Finally, the comparison of GARCH models with GARCH-GJR models reveals that the leverage effect is not significant for cryptocurrencies, suggesting that these do not behave like stock prices.     

Spillover Effects of Real and Nominal Uncertainties in India

This paper examines the spillover effects and the causality between inflation, output growth and its uncertainties for India. Using monthly data for the period from April 1980 to April 2011, we estimated a bi-variate GARCH in mean with BEKK representations. This study differs from the earlier works where the parameters in the BEKK representations are estimated individually and the inferences are drawn on the basis of the individual lagged variance, covariance, and error terms from the respective equations. The empirical evidence suggests that inflation uncertainty seems to have significant negative impact on output growth and positive impact on output uncertainty and there is a positive influence of output uncertainty on the inflation. More importantly, there are spillovers and volatility transmission effects between the macroeconomic uncertainties where the volatility in output growth is significantly influenced by the shocks and volatility in inflation.

     

Building the BoP Producer Ecosystem: The Evolving Engagement of Fabindia with Indian Handloom Artisans

Recent research on the base of the pyramid (BoP) has called on firms to initiate market‐driven interventions directed at the BoP population with the objective of identifying and pursuing mutually profitable means of attaining meaningful poverty alleviation outcomes. In response, firms as well as scholars have engaged at length with the creation of new products and services for the BoP consumer but paid far less attention to the BoP producer—a member of the BoP population who creates value by producing goods and services for sale in nonlocal markets. Additionally, extant studies have largely focused on snapshot views of BoP interventions by firms, thereby limiting our understanding of the emergence of meaningful poverty‐alleviating outcomes over time from these interventions. This paper seeks to redirect attention toward the dynamic of the long‐term engagement between the firm and the BoP producer. Using rich qualitative data from Fabindia—an Indian handloom retailer—this paper examines how the engagement between Fabindia and communities of handloom artisans in India has persisted over a period of five decades. We found that, even as it encountered changes in the external environment and pursued newer organizational goals, Fabindia repeatedly renewed its engagement with handloom artisans and facilitated progression in poverty‐alleviation outcomes. Building on the insights from the case study, this paper presents a process model that highlights the role of innovative management practices in sustaining engagements between firms and BoP producers over time. Additionally, this paper proposes the concept of the “bridging enterprise”—a business enterprise that originates at the intersection of specific BoP communities and the corresponding nonlocal markets—as an interpreter and innovator reconciling the interests of stakeholders across the pyramid.     

The state of research on technological uncertainties, social uncertainties and emerging markets: A multidisciplinary literature review

The objective of this research work is to study the progress of research on technological uncertainties, social uncertainties and emerging markets and outline and identify the key disciplines, journals, articles and authors. For this the author studied the existing literature from the various fields in which technological uncertainties, social uncertainties and emerging markets research work have been published using ISI Web of Knowledge database. The paper finds that there is increasing research work on technological uncertainties, social uncertainties and emerging markets and the bibliographical search resulted in ninety-one documents written by one-hundred-sixty-one authors in eighty-four journals in seventy-two disciplines. The five major disciplines and their underlying journals are business and economics, agriculture, psychology, public administration, and environmental sciences and ecology accounting for majority of publications. In journals the most prolific, measured by number of articles published are Harvard Business Review, Social Science and Medicine, World Development, and Higher Education; and most influential, measured by the global citation received, are Harvard Business Review, Social Science and Medicine and Sociological Review. The top 10% of the journals are responsible for 23% of all publications but 85% of all global citations received. This highlights that despite the high, diverse and increasing number of journals; only few are dominating and shaping the research arena of technological uncertainties, social uncertainties and emerging markets. Further, in the ten most cited articles, no author appears more than once.     

Effects of age, need for cognition, and affective intensity on advertising effectiveness

This paper explores how individual characteristics of age, need for cognition (NFC), and affective intensity (AI) interact with each other and with advertising appeal frames (i.e., rational, positive-emotional, negative-emotional) to influence ad attitudes, involvement, and recall. The mixed design study reveals that younger adults recall emotional messages, especially negative ones, better than rational ones, but recall does not differ for older adults across appeal frames. Older adults prefer rational and positive messages to negative-emotional messages but ad attitudes do not differ among younger adults across appeal frames. Finally, age interacts with AI, but not NFC, to influence ad responsiveness. Both age and AI influence ad attitudes such that older adults exhibit the most positive ad attitudes across all appeal frames.     

High‐Performance Product Management: The Impact of Structure,Process, Competencies,and Role Definition*

Product management is one of the most important functions in marketing. Yet the product management literature has focused largely on creating successful products and has relatively little to say about creating effective product management organizations. This paper focuses on the organizational determinants of high‐performance product management at three levels: (1) the product manager as an individual; (2) the marketing processes related to product management; and (3) the organization structure and role definition. The paper identifies several key factors that potentially impact product management performance. A set of qualitative interviews is conducted to develop hypotheses related to constructs that may drive product management performance. These hypotheses are used to develop a causal model for product management performance that includes constructs related to roles and responsibilities, organization structure, and marketing processes related to product management. An empirical survey of 198 product managers from a variety of industries is conducted to test the causal model. The results of the causal model suggest that performance of a product management organization is driven by structural barriers in the organization, the quality of marketing processes, roles and responsibilities, and knowledge and competencies. The findings suggest that structural boundaries and interfaces are the biggest impediment to effective product management, followed by clarity of roles and responsibilities. The research highlights the importance of organization structure and effective human resource practices in improving product management performance.     

The impact of cognitive age on Internet use of the elderly: an introduction to the public policy implications

Despite the growth of the Internet, one area that has not really been discussed is the elderly's use of the Internet. Given the rapid growth of this population as well as the potential the Internet holds for them, it is a subject worth consideration. However, seniors cannot be defined simply by their chronological age, but by their cognitive age. This paper discusses the impact of cognitive age of a national random sample of American elderly consumers on their Internet use. The results suggest that those seniors with a younger cognitive age use the Internet more than those seniors with an older cognitive age. Additionally, seniors with a younger cognitive age have more social contact off‐line (but not online) than those seniors with an older cognitive age. Finally, in terms of demographic variables, chronological age is positively associated with cognitive age and women report a younger cognitive age than men. These results suggest that for policy makers interested in increasing the participation of seniors, they can utilize the Internet to reach those who are younger in terms of cognitive age; however, they will not be able to reach all seniors in this manner and they need to utilize the Internet as a complementing media to their traditional communication sources.