Indian Institute of Management Ahmedabad

About: Indian Institute of Management Ahmedabad is a education organization based out in Ahmedabad, India. It is known for research contribution in the topics: Emerging markets & Population. The organization has 1828 authors who have published 4011 publications receiving 59269 citations. The organization is also known as: IIMA & IIM Ahmedabad.

Exact Stratified Linear Rank Tests for Ordered Categorical and Binary Data

Abstract: We present an efficient algorithm for generating exact permutational distributions for linear rank statistics defined on stratified 2 × c contingency tables. The algorithm can compute exact p values and confidence intervals for a rich class of nonparametric problems. These include exact p values for stratified two-population Wilcoxon, Logrank, and Van der Waerden tests, exact p values for stratified tests of trend across several binomial populations, exact p values for stratified permutation tests with arbitrary scores, and exact confidence intervals for odds ratios embedded in stratified 2 × c tables. The algorithm uses network-based recursions to generate stratum-specific distributions and then combines them into an overall permutation distribution by convolution. Where only the tail area of a permutation distribution is desired, additional efficiency gains are achieved by backward induction and branch-and-bound processing of the network. The algorithm is especially efficient for highly imbalan...

The tree structure : A general framework for food waste quantification in food services

Abstract: Food waste in the food services industry has been identified as an important unsustainability hotspot, but standardised methods for food waste quantification are lacking. Existing studies on waste ...

An Empirical Analysis of Market Reaction Around the Bonus Issues in India

Abstract: Past researches have revealed significant abnormal returns for bonus issues even though the bonus issue date is known in advance and the distribution contains no new information. This study examines the stock price reaction to the information content of bonus issues with a view of examining the Indian stock market is semi-strong efficient or not. The period of the study is June 1998 to August 2004. Samples of 46 bonus issues have been used to study the announcement effect by using event study methodology. The results indicate that there are significant positive abnormal returns for a five-day period prior to bonus announcement in line with evidence from developed stock market. On the announcement day the average abnormal return of -0.10% is observed. The results provide stronger evidence of semi-strong market efficiency of the Indian stock market.

Collaboration, bargaining, and fairness concern for a green apparel supply chain: An emerging economy perspective

Abstract: The green apparel production in the emerging economy countries is facing several issues such as collaboration practices, profitability concerns of the firms, etc. In this context, we present the collaboration mechanism using greening cost sharing contract and profit sharing contract for a dyadic green apparel supply chain of an emerging economy country. Next, we demonstrate the bargaining process between the supply chain members for both contracts. Further, we investigate the impact of the fairness concern of the supply chain members on the greening and pricing decisions. We perform a rigorous numerical analysis and discuss the managerial insights.

Tinker, taper, QE, bye ? the effect of quantitative easing on financial flows to developing countries

Abstract: This paper examines gross financial inflows to developing countries between 2000 and 2013, with a particular focus on the potential effects of quantitative easing policies in the United States and other high-income countries. The paper finds evidence for potential transmission of quantitative easing along observable liquidity, portfolio balancing, and confidence channels. Moreover, quantitative easing had an additional effect over and above these observable channels, which the paper argues cannot be attributed to either market expectations or changes in the structural relationships between inflows and observable fundamentals. The baseline estimates place the lower bound of the effect of quantitative easing at around 5 percent of gross inflows (for the average developing economy), which suggests that of the 62 percent increase in inflows during 2009-13 related to changing global monetary conditions, at least 13 percent of this was attributable to quantitative easing. The paper also finds evidence of heterogeneity among different types of flows; portfolio (especially bond) flows tend to be more sensitive than foreign direct investment to our measured effects from quantitative easing. Finally, the paper performs simulations that explore the potential effects of the withdrawal of quantitative easing on financial flows to developing countries.