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.

An optimal data-splitting algorithm for aircraft sequencing on a single runway

Abstract: During peak-hour busy airports have the challenge of turning aircraft around as quickly as possible, which includes sequencing their landings and take-offs with maximum efficiency, without sacrificing safety. This problem, termed aircraft sequencing problem (ASP) has traditionally been hard to solve optimally in real-time, even for flights over a one-hour planning window. In this article, we present a novel data-splitting algorithm to solve the ASP on a single runway with the objective to minimize the total delay in the system both under segregated and mixed mode of operation. The problem is formulated as a 0–1 mixed integer program, taking into account several realistic constraints, including safety separation standards, wide time-windows, and constrained position shifting. Following divide-and-conquer paradigm, the algorithm divides the given set of flights into several disjoint subsets, each of which is optimized using 0–1 MIP while ensuring the optimality of the entire set. One hour peak-traffic instances of this problem, which is NP-hard in general, are computationally difficult to solve with direct application of the commercial solver, as well as existing state-of-the-art dynamic programming method. Using our data-splitting algorithm, various randomly generated instances of the problem can be solved optimally in near real-time, with time savings of over 90%.

Wholesale Spreads and the Dynamics of Retail Price Volatility

Abstract: This paper proposes a general model of asymmetric price transmission at the retail level to examine the volatility of retail spreads in vertical markets, with endogenous overshooting of the wholesale spreads. The model is tested with Indian data and detects significant levels of asymmetry in price transmission. In addition it is found that endogenizing the instability at the wholesale level is significant in explaining volatilities of retail spreads.

Evaluation of Performance of Women Urban Co-Operative Banks in Bangalore District: An Application of CAMEL Approach

Abstract: Banking sector is one of the fastest growing sectors in India. Today’s banking sector is becoming more complex with RBI issuing the licenses for other private players in banking sector. The study also concentrates on Women Banking in India - its benefits and critics and an attempt was made to evaluate the performance & financial soundness of Women Urban Cooperative Banks in Bangalore District using CAMEL approach. It is found that in terms of Capital Adequacy Mahila Co-operative Bank has the top position. In case of Earnings Quality, Asset Quality and Liquidity aspects Sri Matha Mahila Co-operative Bank has held the top position. In case of Managerial Efficiency, it is Sri Lakshmi Mahila Sahakari Bank Niyamitha holds the top position.

Poor Change Preparedness in Indian Business Culture: A Need for Periodic Indian Business Culture Surveys

Abstract: Periodic surveys of Indian business culture gathered from the perceptions of significant actors are essential in this changing environment. This paper gathers the perceptions of potential employees, namely, MBA students of two premium institutes of Bangalore. Indian business organizations—rated and ranked on variables of business culture—are seen as low on risk tolerance, using guarded communication styles, avoiding conflict confrontation and having politicised environments with slow decision-making. Changes required to move towards an ideal productive business culture are suggested.

The Impact of Sentiment on Emerging Stock Markets

Abstract: For five leading emerging economies: China, India, Russia, Indonesia and South Korea, we show that existing sentiment variables-both direct (Consumer Confidence Index) and indirect (Baker-Wurgler Index)-are insignificant in explaining respective nations' index returns. We improve upon current techniques by using modified sentiment extraction as proposed in Anand et al. [2020] to study the impact of central bank speech sentiment on respective stock market indices. We find that central bank speeches do have a significant impact on the stock markets in our sample of emerging countries.