Institution
Indian Institute of Management Calcutta
Education•Kolkata, India•
About: Indian Institute of Management Calcutta is a education organization based out in Kolkata, India. It is known for research contribution in the topics: Supply chain & Emerging markets. The organization has 415 authors who have published 1354 publications receiving 21725 citations. The organization is also known as: IIMC & IIM Calcutta.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors empirically examined the economic impact of this Regulation on Indian stock market and found evidence of significant reduction in beta of the experimental group, where beta is used as surrogate for cost of equity capital.
Abstract: Regulations dealing with investor protection are essential for economic development of any country. India, with more than 20 million shareholders, is one of the largest emerging markets in terms of market capitalization. In order to protect the large investor base, the Securities and Exchange Board of India (SEBI) has enforced a regulation requiring mandatory disclosure of information and change in the corporate governance mechanisms of Indian listed companies. The aim of this study is to empirically examine the economic impact of this Regulation on Indian stock market. The results provide evidence of significant reduction in beta of the experimental group, where beta is used as surrogate for cost of equity capital. The result is consistent with the notion that increased information and better corporate governance mechanism reduces the cost of equity capital of these companies.
7 citations
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TL;DR: In this article, the authors study perfect foresight competitive equilibrium in an overlapping generations model with productive capital and a fixed nominal stock of money and obtain almost complete characterizations of the existence of a monetary equilibrium from an arbitrary initial capital stock.
Abstract: We study perfect foresight competitive equilibrium in an overlapping generations model with productive capital and a fixed nominal stock of money. We obtain almost-complete characterizations of (a) the existence of a monetary equilibrium from an arbitrary initial capital stock, and (b) the existence of anefficient monetary equilibrium from an arbitrary initial capital stock. When the initial capital stock is no larger than the golden rule stock, the necessary and sufficient condition for both (a) and (b) is the dynamic inefficiency (in the sense of Malinvaud) of the autarkic (or nonmonetary) equilibrium from the same initial stock. However, this condition, though necessary, isnot sufficient for the existence of a monetary equilibrium when the initial stock exceeds the golden rule stock (and still more conditions are needed for anefficient monetary equilibrium to exist). We provide characterizations for these cases, and as corollaries obtain examples in which (a) the nonmonetary equilibrium is inefficient but no monetary equilibrium exists, and (b) monetary equilibria exist but no efficient monetary equilibrium does.
7 citations
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TL;DR: In this paper, the authors examined the issue of high dropout rates in India which has adverse implications for human capital formation, and hence for the country's long term growth potential.
Abstract: In this paper we examine the issue of high dropout rates in India which has adverse implications for human capital formation, and hence for the country’s long term growth potential. Using the 2004-05 National Sample Survey employment-unemployment survey data, we estimate transition probabilities of moving from a number of different educational levels to higher educational levels using a sequential logit model. Our results suggest that the overall probability of reaching tertiary education is very low. Further, even by the woeful overall standards, women are significantly worse-off, particularly in rural areas.
7 citations
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TL;DR: In this article, the authors make two arguments that advanced information and communication technologies (ICTs) have created multiple parallel flows of consumption that allow us to be productive continuoustime continuou...
Abstract: This article makes two arguments. First, that advanced information and communication technologies (ICTs) have created multiple parallel flows of consumption that allow us to be productive continuou...
7 citations
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TL;DR: It is shown that no best‐first limited‐memory search algorithm can be asymptotically optimal, and on trees not satisfying the conditions, IDA* can perform quite poorly.
Abstract: Since bestdfirst search algorithms such as A* require large amounts of memory, they sometimes cannot run to completion, even on problem instances of moderate size. This problem has led to the development of limiteddmemory search algorithms, of which the best known is IDA*. This paper presents the following results about IDA* and related algorithms:
1) The analysis of asymptotic optimality for IDA* in lR.E. Korf, Optimal path finding algorithms, in: Search in Artificial Intelligence, eds. L. Kanal and V. Kumar (SpringerdVerlag, 1988) pp. 200–222r is incorrect. There are trees satisfying the asymptotic optimality conditions given in lR.E. Korf, Optimal path finding algorithms, in: Search in Artificial Intelligence, eds. L. Kanal and V. Kumar (SpringerdVerlag, 1988) pp. 200–222r for which IDA* is not asymptotically optimal.
2) To correct the above problem, we state and prove necessary and sufficient conditions for asymptotic optimality of IDA* on trees. On trees not satisfying our conditions, we show that no bestdfirst limiteddmemory search algorithm can be asymptotically optimal.
3) On graphs, IDA* can perform quite poorly. In particular, there are graphs on which IDA* does \Omega(2^{2N}) node expansions where N is the number of nodes expanded by A*.
7 citations
Authors
Showing all 426 results
Name | H-index | Papers | Citations |
---|---|---|---|
Russell W. Belk | 76 | 351 | 39909 |
Vishal Gupta | 47 | 387 | 9974 |
Sankaran Venkataraman | 32 | 75 | 19911 |
Subrata Mitra | 32 | 219 | 3332 |
Eiji Oki | 32 | 588 | 5995 |
Indranil Bose | 30 | 97 | 3629 |
Pradip K. Srimani | 30 | 268 | 2889 |
Rahul Mukerjee | 30 | 206 | 3507 |
Ruby Roy Dholakia | 29 | 102 | 5158 |
Per Skålén | 25 | 57 | 2763 |
Somprakash Bandyopadhyay | 23 | 111 | 1764 |
Debashis Saha | 22 | 181 | 2615 |
Haritha Saranga | 19 | 42 | 1523 |
Janat Shah | 19 | 52 | 1767 |
Rohit Varman | 18 | 46 | 1387 |