A Study on Indian Derivative Market-Opportunities and Challenges

2005 ◽  
Author(s):  
K. Sasidharan ◽  
Alex K. Mathews
Keyword(s):  
Market Opportunities ◽  
Derivative Market

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

Does Commodity Derivatives Function Effectively? A lengthy Discussion

2021 ◽  
pp. 227797522098574
Author(s):  
Bhabani Sankar Rout ◽  
Nupur Moni Das ◽  
K. Chandrasekhara Rao
Keyword(s):  
Price Discovery ◽  
Spot Market ◽  
Futures Market ◽  
The Other ◽  
Volatility Spillover ◽  
Agricultural Commodities ◽  
Commodity Derivatives ◽  
Derivative Market ◽  
Negative Shock ◽  
Lengthy Discussion

The present work has been designed to intensely investigate the capability of the commodity futures market in achieving the aim of price discovery. Further, the downside of the cash and futures market and transfer of the risk to other markets has also been studied using VaR, and Bivariate EGARCH. The findings of the work point that the metal commodity derivative market helps in the efficient discovery of price in the spot market except for nickel. But, in the case of the agricultural commodities, the spot is found to be leading and thus there is no price discovery except turmeric. On the other hand, the volatility spillover is bidirectional for both agri and metal commodities except copper, where volatility spills only from futures to spot. Further, the effect of negative shock informational bias differs from commodity to commodity, irrespective of metal or agriculture.

scholarly journals Local Labor Markets and Child Learning Outcomes in India

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Magda Tsaneva ◽  
Uttara Balakrishnan
Keyword(s):  
Labor Market ◽  
Test Scores ◽  
School Quality ◽  
Labor Demand ◽  
District Level ◽  
Education Spending ◽  
Education Outcomes ◽  
Market Opportunities ◽  
Primary School Age ◽  
The Relationship

Abstract This paper uses data from rural India to study the relationship between local labor market opportunities and child education outcomes. We construct a Bartik index as a measure of exogenous changes in district-level labor demand and find that an increase in predicted overall employment growth is associated with higher years of education and better test scores for both boys and girls of primary school age. The effects on test scores of older boys are smaller and less statistically significant. Older girls, however, do benefit from better labor market opportunities. We do not find evidence for changes in school quality or district-level investment. Instead, we find support for increases in household education spending, possibly because of overall higher wages, or re-allocation of resources.

scholarly journals Mining Open Government Data for Business Intelligence Using Data Visualization: A Two-Industry Case Study

2021 ◽  
Vol 16 (4) ◽  
pp. 1042-1065
Author(s):  
Anne Gottfried ◽  
Caroline Hartmann ◽  
Donald Yates
Keyword(s):  
Data Visualization ◽  
Business Intelligence ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Open Government ◽  
Open Government Data ◽  
Market Opportunities ◽  
Government Data ◽  
Source Of Information

The business intelligence (BI) market has grown at a tremendous rate in the past decade due to technological advancements, big data and the availability of open source content. Despite this growth, the use of open government data (OGD) as a source of information is very limited among the private sector due to a lack of knowledge as to its benefits. Scant evidence on the use of OGD by private organizations suggests that it can lead to the creation of innovative ideas as well as assist in making better informed decisions. Given the benefits but lack of use of OGD to generate business intelligence, we extend research in this area by exploring how OGD can be used to generate business intelligence for the identification of market opportunities and strategy formulation; an area of research that is still in its infancy. Using a two-industry case study approach (footwear and lumber), we use latent Dirichlet allocation (LDA) topic modeling to extract emerging topics in these two industries from OGD, and a data visualization tool (pyLDAVis) to visualize the topics in order to interpret and transform the data into business intelligence. Additionally, we perform an environmental scanning of the environment for the two industries to validate the usability of the information obtained. The results provide evidence that OGD can be a valuable source of information for generating business intelligence and demonstrate how topic modeling and visualization tools can assist organizations in extracting and analyzing information for the identification of market opportunities.

The drivers of innovation diffusion in agriculture: evidence from Italian census data

2014 ◽  
Vol 14 (3) ◽  
pp. 231-245 ◽  
Author(s):  
G. Avolio ◽  
E. Blasi ◽  
C. Cicatiello ◽  
S. Franco
Keyword(s):  
Innovation Diffusion ◽  
Diffusion Of Innovations ◽  
Agricultural Sector ◽  
Census Data ◽  
Structural Features ◽  
Three Dimensions ◽  
Local Expenditure ◽  
Diffusion Dynamics ◽  
Italian Provinces ◽  
Market Opportunities

Innovation is a key issue in the discussion about the links between agriculture, food production and sustainability. Indeed, the creation, adoption and exploitation of innovations can interact with all three dimensions of sustainability – environment, society and economy. Despite the increasing support for innovation practices in the agrifood sector from institutions and public policies, innovation in this sector has spread quite slowly. Indeed, the diffusion of innovations strongly depends on the social, institutional and productive system behind the technological/structural features of the farms. The analysis of the drivers underpinning the innovation diffusion dynamics in agriculture is therefore a very interesting topic for studies in this domain. This paper aims to provide a map of the diffusion of innovations in the Italian agricultural sector, highlighting differences and territorial specificities. We try to explain the drivers and factors influencing such specificities, drawing from data on the agricultural sector as well as information on the institutional and regulatory framework. Data on the diffusion of product, process, organizational and marketing innovations in agriculture have been gathered for the 110 Italian provinces, drawing from the 2010 Agricultural Census survey. Maps of the diffusion of the different types of innovations have then been constructed and analysed. Results show that the diffusion of the different innovation types is not uniform within the country. Some are typical to specific areas where productive or market opportunities occur. Others are not territorial-specific but are linked to the features of the single farms. The influence of the regulatory context also seems to play a significant role. By analysing the local expenditure in rural development intervention, we analyses how the synergies among the productive and institutional systems may act as a driver for innovation diffusion in agriculture.

The new generation of vehicles: market opportunities for fuel cells

1996 ◽  
Vol 61 (1-2) ◽  
pp. 7-13 ◽  
Author(s):  
Steven G. Chalk ◽  
Pandit G. Patil ◽  
S.R. Venkateswaran
Keyword(s):  
Fuel Cells ◽  
Market Opportunities ◽  
New Generation

scholarly journals Firms' Choice of Regulatory Instruments to Reduce Pollution: A Transaction Cost Approach

2004 ◽  
Vol 6 (3) ◽  
pp. 1-20 ◽  
Author(s):  
Magali Delmas ◽  
Alfred Marcus
Keyword(s):  
Transaction Costs ◽  
Transaction Cost ◽  
Transaction Cost Economics ◽  
Command And Control ◽  
Governance Structure ◽  
Governance Structures ◽  
Negotiated Agreements ◽  
Regulatory Instruments ◽  
Market Opportunities ◽  
And Control

This paper compares the economic efficiency of firm-agency governance structures for pollution reduction using transaction costs economics. Two governance structures are analyzed with the transaction costs approach: command and control regulation (CCR) and negotiated agreements (NAs). We propose that the choice of governance structure depends on the strategies firms pursue given the attributes of their transactions and their market opportunities. The application of transaction cost economics analysis leads to different choices of regulatory instruments. Firms in more mature, stable industries are likely to choose command and control, while firms in new, dynamic sectors are more likely to opt for negotiated agreements. Frequency of transactions is a key factor in firm choice.

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