
Saumen Majumdar- Doctor of Philosophy
- Professor (Associate) at Indian Institute of Management Tiruchirappalli
Saumen Majumdar
- Doctor of Philosophy
- Professor (Associate) at Indian Institute of Management Tiruchirappalli
Teaching and Research
About
16
Publications
926
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
163
Citations
Current institution
Publications
Publications (16)
Purpose
Sudden and unannounced policy changes by the government that provide banks with windfall deposits creates a challenge in terms of resource deployment. In the process, there is an impact on their risk and returns. Using data on domestic Indian commercial banks, this study aims to examine the impact of such an announcement – the 2016 demoneti...
Sudden and unannounced policy changes by the government can have significant consequences for commercial bank behaviour. Using data on Indian commercial banks during 2010-2020, we examine the impact of such an announcement – the 2016 demonetisation episode- on returns and risk. The findings reveal a decline in risk and an increase in returns of sta...
Policy uncertainty is one of the key issues today that is contributing to investor nervousness, especially when it comes to baseload generation investment. Although there has been considerable discussion on the topic, there has been little effort to formally recognize such uncertainties in investment decision making, to guide appropriate policy dev...
This paper discusses the need for an integrated analysis of
investment and financing decisions in the context of electricity
generation capacity addition planning. The traditional mathematical
programming model for investment planning and its potential enhancement
to encompass financing decisions in a unified framework have been
discussed. The inte...
An attempt is made to forecast electric load using neural networks. Neural networks represent a pattern or load shape and, in reality, perform a pattern recognition function. This pattern is based on training cases provided to the network. A strategy that uses a minimum distance measurement to identify the appropriate historical patterns of load an...
In this article, density estimation procedure is used to calculate the marginal cost of producing electricity after accounting for fixed outages. Two density estimation techniques, the Kernel method and the maximum penalized likelihood method are used to estimate load density. Next, in a production cost modeling framework, both the marginal variabl...
The cost of supplying electricity in a grid is minimized in a nonlinear optimization framework The formulation of the problem gives the incentive-compatible trading prices of electricity among many independently operating state utilities. The problem is solved both for a central planner (central grid operator) and for the case of a slate planner (i...
The economic reforms initiated in 1991 were broadly based on the view that the strategy of state dominated industrialisation with high protective barriers was either a mistake of has outlived its usefulness. And this strategy should now be replaced by a more market oriented, open economy approach. However, there has been no consensus on the impact...
The energy sector in India claims 30% of the available investments. Moreover, oil import bills have the largest share among the total import bills. Thus, macro economic development and energy sector are highly interdependent. Where energy demand is forecasted without these linkages one cannot be sure if investments and imports required for energy s...
Oil price shock has two interrelated impacts, GDP growth rate impact and energy impact, that induce a change in carbon emission level. This article seeks to find out, in the Indian context, whether the past oil shocks of the 1970s had any significant effect on carbon emission growth rate and then to simulate the impact on future GDP growth rate and...
An interruptible load management (ILM) scheme is proposed using
dynamic optimal power flow analysis. It enables real-time selection of
interruptible loads incorporating power network constraints and dynamic
restriction on generation, viz. ramp-rate limits. The model provides an
analytical framework for addressing several important issues associated...
Energy sector has large investment and import requirements which has macro economic ramifications. This paper generates energy scenarios consistent with macro economic development from two inter-linked macro economic and energy modules, The Indian economy is divided into two sectors: the agriculture sector and the non agriculture sector. The energy...