Wavelet Analysis of the Bombay Stock Exchange Index

The fluctuations in the rate of returns of the Bombay stock exchange are analyzed through wavelet transform. The fluctuations, in various time scales, naturally separated by the wavelets, are subjected to statistical analysis. The localization and multiresolution properties of the wavelets enable one to identify collective behaviour in the stock market and the extent of their influence at various time scales. The Gaussian nature of the rate of returns at certain scales and the periodic nature of the same, at other scales, are clearly brought out by this analysis. The utility of this approach for modeling purpose is also elucidated.

     

Financial crises and labor market turbulence

Financial crises in emerging markets trigger a significant reallocation of labor as exchange rate depreciations and interest rate increases cause relative prices to change drastically. Household survey data for Mexico reveal that individuals who switched industry or occupation during the 1994–1995 crisis lost about 10% of their hourly earnings on average compared to similar workers who did not move. This suggests that many workers became less productive in the process of migrating to different economic activities. These productivity losses, in turn, can explain about 40% of the observed fall in TFP in Mexico in 1995.     

Farmers' Preference for Farming: Evidence From a Nationally Representative Farm Survey in India

Using data from a nationally representative farm survey in India, we have analyzed Indian farmers' stated preference for farming as a profession. Findings show that more than 40% of farmers dislike farming as a profession because of low profits, high risk, and lack of social status, yet they continue with it owing to a lack of opportunities outside agriculture. Farmers who express a preference for moving out of agriculture are mostly those with small landholdings, poor irrigation facilities, fewer productive assets including livestock, and follow a cereal‐centric cropping pattern. They also have relatively lower access to credit, insurance, and information, and are weakly integrated with social networks such as self‐help groups and farmers' organizations. Importantly, the disinclination for farming, conditional on other covariates, is not significantly differentiated by caste, an important indicator of social status in rural India. Yet, within a caste group, the dislike for farming moderates with larger landholdings.     

Product innovation for the people's car in an emerging economy

As product offerings of multinational enterprises (MNEs) continue to primarily serve the relatively well-to-do consumers in emerging economies, innovations to meet the unique affordability and acceptability criteria of masses at the base of the pyramid (BoP) continues to remain a daunting challenge. The academic literature is sparse on comprehensive in-depth studies about the intricate processes involved in shaping and managing technology development for the masses. Focusing on product innovation by Tata Motors of India with the Nano—the world's cheapest car, our case study aims to understand how the innovator's choices regarding the use of technology, product design and organizational practices for new product development enabled it to meet the challenge of innovation for India's masses. Drawing on Christensen's work on disruptive innovations, our analysis shows how frugal use of resources through a new combination of existing component technologies created a new modular product to achieve the unique price–performance requirements demanded by the BoP. Our findings show that collaboration with suppliers for component design and their early integration in the design phase substantially lowered costs and helped eliminate unnecessary frills whilst incorporating features valued by mass markets. Our study has important managerial implications for MNEs and provides critical insights into the processes for a new blueprint for an untapped market segment in the automobile industry.     

Why Developing Countries Have Failed to Increase Their Exports of Agricultural Processed Products

The article uses the case study of coffee, tea and cocoa to analyse whether tariff escalation constitutes a barrier to market access that thwarts diversification efforts of developing countries into exports of value‐added agricultural processed products. It also examines the extent to which non‐tariff barriers act as market access barriers that constrain developing countries from developing their exports of agricultural processed products. Our analysis shows that tariff escalation is not the main barrier; rather it is the prevalence of non‐tariff barriers (including domestic non‐tariff barriers) that limits the ability of developing countries to increase their agricultural processed exports. This has important policy implications in terms of the emphasis that trade negotiators and policy planners should place on addressing non‐tariff barriers.     

Positive versus negative comparative advertising

Two studies examined cognitive responses to comparative advertising that was valenced, i.e., was either negative or positive. Negative comparative advertising featured the advertised brand derogating the comparison brand (I'm OK, you're not OK). Positive comparative advertising claimed superiority over the comparison brand in a nonderogatory manner (You're OK, I'm more OK). Subjects were exposed to either a negative comparative ad or a positive comparative ad. In study 1, the ad featured either a high or low share advertised brand and either a high or low share comparison brand while in study 2, the ad featured advertised and comparison brands with either a strong or a weak reputation. Across both studies, it was found that negative comparative advertising evoked significantly higher counterargumentation and lower claim acceptance than its positive counterpart. Also, when the advertised brand had a high share relative to the comparison brand, counterargumentation was lower and claim acceptance was higher vis-a-vis when the advertised brand had a low share relative to the comparison brand. Findings pertaining to brand reputation were mixed. Managerial and future research implications of the findings are discussed.     

Are labor markets segmented in developing countries? A semiparametric approach

We test the hypothesis that observably similar workers earn higher wages in the formal sector than in the informal sector in developing nations. Using data from Argentina's household survey and various definitions of informal employment, we find that on average, formal wages are higher than informal wages. Parametric tests suggest that a formal premium remains after controlling for individual and establishment characteristics. However, this approach suffers from several econometric problems, which we address with semiparametric methods. The resulting formal premium estimates prove either small and insignificant, or negative. Neither do we find significant differences in measures of job satisfaction between the two sectors. We invoke these results to question the mainstream view that labor markets are segmented along formal/informal lines in developing nations such as Argentina.     

Forecasting stock market volatility and information content of implied volatility index

This study investigates the incremental information content of implied volatility index relative to the GARCH family models in forecasting volatility of the three Asia-Pacific stock markets, namely India, Australia and Hong Kong. To examine the in-sample information content, the conditional variance equations of GARCH family models are augmented by incorporating implied volatility index as an explanatory variable. The return-based realized variance and the range-based realized variance constructed from 5-min data are used as proxy for latent volatility. To assess the out-of-sample forecast performance, we generate one-day-ahead rolling forecasts and employ the Mincer–Zarnowitz regression and encompassing regression. We find that the inclusion of implied volatility index in the conditional variance equation of GARCH family model reduces volatility persistence and improves model fitness. The significant and positive coefficient of implied volatility index in the augmented GARCH family models suggests that it contains relevant information in describing the volatility process. The study finds that volatility index is a biased forecast but possesses relevant information in explaining future realized volatility. The results of encompassing regression suggest that implied volatility index contains additional information relevant for forecasting stock market volatility beyond the information contained in the GARCH family model forecasts.     

Postservice Recovery Customer Satisfaction in Indian Retail Banking: Scale Development and Validation

The construct of postservice customer satisfaction with respect to Indian retail banking has been studied. Furthermore, the development and validation of the postservice recovery customer satisfaction scale in Indian retail banking is detailed. The scale development process was carried out over three stages (item generation, scale purification, scale validation) and comprised of conducting depth interviews and focus groups for item generation and three separate phases of data collection, involving a total of 851 individual respondents. The data provide evidence for face, content, discriminant and convergent validity, dimensionality, reliability, and generalizability of the customer satisfaction scale in Indian retail banking.     

Choice and design of regulatory instruments in the presence of green consumers

Using a vertically differentiated product model, this paper examines welfare implications of various government policies in a situation where consumers are environmentally discerning. It studies ad valorem taxes/subsidies and emission taxes. The optimal policy depends on the magnitude of damage parameter associated with environmental externality. For a given distribution of tastes and preferences, as the damage parameter increases from a low to a high value, the optimal policy shifts from an ad valorem tax to an ad valorem subsidy. It also shows that for a sufficiently low damage parameter, an ad valorem tax dominates an emission tax.