Indian Institute of Management Bangalore

About: Indian Institute of Management Bangalore is a education organization based out in Bengaluru, Karnataka, India. It is known for research contribution in the topics: Emerging markets & Context (language use). The organization has 491 authors who have published 1254 publications receiving 23853 citations. The organization is also known as: IIMB.

Yoga and Wellness—Key Insights from the Study on General Yoga Programme:

Abstract: Human beings have always strived towards excellence and progress since time immemorial. Industrialisation, automation and technological disruptions have led to increased comfort and quality of livi...

Is corruption distasteful or just another cost of doing business

Abstract: Using data from a lab experiment carried out in Kenya, we show that while “legitimate” costs and costs imposed by corruption both deter investment, the latter is no more of a disincentive than the former. We interpret the evidence as consistent with the conclusion that our participants viewed corruption as just another cost of doing business. We also experimented with giving participants in some treatments information about the corruption expectations of participants in previous sessions and the actual extent of corruption in previous sessions. We find some evidence that the objective information actually increased investment without changing the participants’ own expectations regarding corruption. That result is compatible with the idea that revealing the level of corruption changes the descriptive norm and facilitates investment in a corrupt environment.

State of Inclusive Growth in India: Some Perspectives:

Abstract: COLLOQUIUM Creative Commons Non Commercial CC-BY-NC: This article is distributed under the terms of the Creative Commons AttributionNonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). State of Inclusive Growth in India: Some Perspectives

Optimal sampling frequency for volatility forecast models for the Indian stock markets

Abstract: This paper evaluates the performance of conditional variance models using high-frequency data of the National Stock Index (S&P CNX NIFTY) and attempts to determine the optimal sampling frequency for the best daily volatility forecast. A linear combination of the realized volatilities calculated at two different frequencies is used as benchmark to evaluate the volatility forecasting ability of the conditional variance models (GARCH (1, 1)) at different sampling frequencies. From the analysis, it is found that sampling at 30 minutes gives the best forecast for daily volatility. The forecasting ability of these models is deteriorated, however, by the non-normal property of mean adjusted returns, which is an assumption in conditional variance models. Nevertheless, the optimum frequency remained the same even in the case of different models (EGARCH and PARCH) and different error distribution (generalized error distribution, GED) where the error is reduced to a certain extent by incorporating the asymmetric effect on volatility. Our analysis also suggests that GARCH models with GED innovations or EGRACH and PARCH models would give better estimates of volatility with lower forecast error estimates. Copyright © 2008 John Wiley & Sons, Ltd.