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3819 items in total found

Books | 2018

Contract terms are common sense

Akhileshwar Pathak

Penguin Random House India

Books | 2018

Dissent on Aadhaar: Big data meets big brother

Reetika Khera

Orient Black Swan

Books | 2018

Land use change trends of Indian cities- A bird's eye view: Vulnerabilities of unplanned urban growth

Amit Garg, Vidhee Avashia and Shrutika Parihar

Sage

Books | 2018

Indian perspectives on workplace bullying: A Decade of Insights

Premilla D'Cruz, Ernesto Noronha, Avina Mendonza and Nidhi Mishra

Springer

Books | 2018

Business law for managers: Kaleidoscopic tales

Anurag K. Agarwal

Penguin Random House

Books | 2018

Issues in Indian public policies

Vinod B. Annigeri, R.S. Deshpande and Ravindra Dholakia

Springer

Journal Articles | 2018

Earnings management strategies during financial distress

Neerav Nagar and Kaustav Sen

IUP Journal of Accounting Research & Audit Practices

We examine whether financial distress and its severity have a role to play in managers' decisions with respect to the choice of earnings management strategies. Our results suggests that firms in initial stages of distress engage in real earnings management through a reduction in the spending on selling, general and administrative expenses, and engage in classification shifting to increase profitability and liquidity. When distress becomes severe, firms cut-back on production, engage in income-increasing accruals management, and increase their spending on selling, general and administrative expenses. Initial under-spending on selling, general and administrative expenses is opportunistic with an intention to show improved performance. In extreme distress, increase on such spending is a sound economic decision. Our findings provide insights into how managers of distressed firms trade-off between liquidity, profitability and solvency in both short-run and long-run.
JEL Codes: M41; G33.

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Journal Articles | 2018

Farmer producer organizations as farmer collectives: A case study from India

Nalini Bikkina, Rama Mohana R. Turaga, and Vaibhav Bhamoriya

Development Policy Review

Small and marginal farmers in India have been vulnerable to risks in agricultural production. Several organizational prototypes are emerging to integrate them into the value chain with the objectives of enhancing incomes and reduction in transaction costs. One such alternative is Farmer Producer Organizations (FPOs). We explore the potential of FPOs as collective institutions through a case study of Avirat, one of the first FPOs in Gujarat. Our analysis suggests that FPOs have the potential to provide benefits through effective collective action. The main challenge, however, is to raise sufficient capital that can maximize these benefits. We discuss the implications of our findings to policy

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Journal Articles | 2018

Dispersion in macroeconomic volatility between the core and periphery of the international trade network

Anindya S. Chakrabarti

Journal of Economic Dynamics and Control

At the country level, macroeconomic volatility tends to correlate with trade openness although the direction of correlation is not stable across samples. Here I consider trade networks as sum of all pairwise trade linkages to emphasize that different linkages contribute differently to the transmission or mitigation of shocks, and show that across the network volatility is inversely related to centrality, a summary measure of strength of the linkages specific to a country. I study a multi-country, multi-sector trade model
subject to idiosyncratic productivity and liquidity shocks, and characterize volatility as an explicit function of centrality, diversification and the Herfindahl of the trade network in equilibrium. With sufficient skewness in trade linkages across countries, similar shocks generate different levels of repercussions across the network. The conventional effect of diversification holds true that countries with better diversified portfolio fluctuate less compared. Centrality directly contributes to better aggregation of shocks. Combined effect of these two channels dominates the opposite effect that a more central country is also more exposed to shocks. The model calibrated to the E.U. generates and closely replicates the negative relationship between centrality and volatility. The
theoretical model is then extended to capture stochasticity and sparsity in the trade networks.

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Journal Articles | 2018

Real time location prediction with taxi-GPS data streams

Arnab Kumar Laha and Sayan Putatunda

Transporation Research Part C: Emerging Technologies

The prediction of the destination location at the time of pickup is an important problem with potential for substantial impact on the efficiency of a GPS enabled taxi service. While this problem has been explored earlier in the batch data set-up, we propose in this paper new solutions in the streaming data set-up. We examine four incremental learning methods using a Damped window model namely, Multivariate multiple regression, spherical-spherical regression, Randomized spherical K-NN regression and an Ensemble of these methods for their effectiveness in solving the destination prediction problem. The performance of these methods on several large datasets are evaluated using suitably chosen metrics and they were also compared with some other existing methods. The Multivariate multiple regression method and the Ensemble of the three methods are found to be the two best performers. The next pickup location problem is also considered and the aforementioned methods are examined for their suitability using real world datasets. As in the case of destination prediction problem, here also we find that the Multivariate multiple regression method and the Ensemble of the three methods gives better performance than the rest.

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IIMA