scholarly journals COMMODITY FUTURE MARKET IN INDIA: A LITERATURE REVIEW ON PRICE DISCOVERY OF AGRICULTURAL COMMODITY

2020 ◽  
Vol 7 (13) ◽  
Keyword(s):  
Literature Review ◽  
Price Discovery ◽  
Future Market ◽  
Agricultural Commodity ◽  
Commodity Future

scholarly journals Impact of Weather on Agriculture Commodity Market and the Price Discovery: An Empirical Analysis

2021 ◽  
pp. 60-70
Author(s):  
Suraj E. S ◽  
Ojasvi Gupta
Keyword(s):  
Price Discovery ◽  
Commodity Prices ◽  
Price Volatility ◽  
Future Market ◽  
Contributing Factors ◽  
Agricultural Commodity ◽  
Spot Prices ◽  
The Future ◽  
Demand Fluctuations ◽  
Derivative Market

This paper focused on studying the agricultural commodity prices in India and it's extreme volatility due to many reasons such as government interference, growth, market forces factors, regular floods and droughts, transport and warehousing problems, etc. These are contributing factors to demand fluctuations. In this case, the future market plays an important role in the economy. The demand for commodity futures has three particular economic functions: price discovery, price risk management, and price volatility. The future market plays a key role in the process of price discovery. The main aim of this system is to regulate prices to minimize uncertainty, to provide price signals to market traders for futures spot prices through the price discovery phase. So, this study emphasized the role of the derivative market in reducing the volatility of agricultural commodity prices in the Indian market. Keywords: volatility, future market, derivatives

Prediction of Future Market Price for Agricultural Commodities

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Sagar Pathane ◽  
Uttam Patil ◽  
Nandini Sidnal
Keyword(s):  
Mobile Application ◽  
Market Price ◽  
Commodity Prices ◽  
Future Price ◽  
Future Market ◽  
Graphical Interface ◽  
Agricultural Commodities ◽  
Agricultural Commodity ◽  
Web Based ◽  
Agriculture Products

The agricultural commodity prices have a volatile nature which may increase or decrease inconsistently causing an adverse effect on the economy. The work carried out here for predicting prices of agricultural commodities is useful for the farmers because of which they can sow appropriate crop depending on its future price. Agriculture products have seasonal rates, these rates are spread over the entire year. If these rates are known/alerted to the farmers in advance, then it will be promising on ROI (Return on Investments). It requires that the rates of the agricultural products updated into the dataset of each state and each crop, in this application five crops are considered. The predictions are done based on neural networks Neuroph framework in java platform and also the previous years data. The results are produced on mobile application using android. Web based interface is also provided for displaying processed commodity rates in graphical interface. Agricultural experts can follow these graphs and predict market rates which can be informed to the farmers. The results will be provided based on the location of the users of this application.

scholarly journals The Impact of Restrictive Measures on the Price Discovery Function of Stock Index Futures – Evidence From CSI 500 Stock Index Futures

2018 ◽  
Vol 9 (4) ◽  
pp. 117
Author(s):  
Maoguo Wu ◽  
Zhehao Zhu
Keyword(s):  
Price Discovery ◽  
Spot Market ◽  
Stock Index ◽  
Stock Index Futures ◽  
Future Market ◽  
Index Futures ◽  
The Future ◽  
The Difference ◽  
Restrictive Measures ◽  
The Impact

Restrictive measures implemented by governments have a great impact on the price discovery function of stock index futures. This study compares the price discovery function of CSI 500 stock index futures and CSI 500 stock index before and after the implementation of restrictive measures based on the reaction speed to new information, the price ratio of new information and the price contribution of both future market and spot market. It also analyzes the difference between the price discovery function of the future market and that of the spot market and thus proposes policy implications accordingly.Utilizing data of CSI 500 stock index futures in the period of the stock market crash, this study compares the price discovery function before and after the implementation of restrictive measures. By means of the VECM model and common factor analysis, it further investigates the difference in the price contribution of the two markets. Contributing to existing literature on the relationship between the future market and the spot market, this study explores the change in the price contribution of the two markets and therein studies the impact of restrictive measures on the price discovery function. Empirical evidence finds that before the implementation of restrictive measures, the price discovery function worked more efficiently, while, however, after the implementation of restrictive measures, the price discovery function did not work. Hence, stock index futures do assist in the price discovery of the spot market. In some special time periods, however, due to the impact of restrictive policies, the price contribution of the spot market exceeded that of the future market, implying that the price discovery function of the CSI 500 stock index future market is unstable.

Corporate governance integration with sustainability: a systematic literature review

2019 ◽  
Vol 19 (2) ◽  
pp. 255-269 ◽  
Author(s):  
Sahar E-Vahdati ◽  
Norhayah Zulkifli ◽  
Zarina Zakaria
Keyword(s):  
Corporate Governance ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Geographical Area ◽  
Future Research ◽  
Future Market ◽  
Joint Work ◽  
Policy Makers ◽  
Content Type ◽  
Reference Index

Purpose The purpose of this paper is to systematically review the literature on corporate governance and sustainability integration in identifying the main rigidity, infirmity and gaps in the current literature, and also to mention future research paths. Design/methodology/approach A systematic literature review of existing international papers is used through quantitative and qualitative approach by selecting 27 articles published in Scopus. Findings The review suggests although integration of governance into sustainability is interpreted differently in a geographical area, vision, mission and leadership are the most significant drivers of sustainability framework dealing corporate governance. Despite the limitation which is related to the choice of number and type of keywords and journals, outcomes and the interpretation, generalization and application of results, sustainability frameworks suggest a number of avenues for investors, policy makers and future market scenario which will increase the efficiency of companies. Research limitations/implications This research uses limited number of reviews by the common features of Scopus search as previous studies. This review study reflects corporate governance to sustainability models and provides opportunities to researchers for a more in-depth investigation into the theoretical advancement and joint work of sustainability and corporate governance which better inform strategies and implementations of governmental structures. Originality/value This paper undertakes a significant thorough systematic review for sustainability integration with corporate governance literature. It gives a written work review and reference index from1995 to 2017, useful for both academics and professionals.

Price Discoveries and Volatility Spillovers in S&P CNX Nifty Future and its Underlying Index CNX Nifty

2009 ◽  
Vol 34 (2) ◽  
pp. 41-56 ◽  
Author(s):  
Madhusudan Karmakar
Keyword(s):  
Futures Markets ◽  
Price Discovery ◽  
Spot Market ◽  
The Other ◽  
Future Market ◽  
Volatility Spillovers ◽  
Long Run ◽  
Cash Market ◽  
Cointegration Tests ◽  
First Moment

In a perfectly functioning world, every piece of information should be reflected simultaneously in the underlying spot market and its futures markets. However, in reality, information can be disseminated in one market first and then transmitted to other markets due to market imperfections. And, if one market reacts faster to information than the other, a lead-lag relation is observed The lead-lag relationship in returns and volatilities between spot and futures markets is of interest to academics, practitioners, and regulators. In India, there are very few studies which have investigated the lead-lag relationship in the first moment of the spot and futures markets This study investigates the lead-lag relationship in the first moment as well as the second moment between the S&P CNX Nifty and the Nifty future. It also investigates how much of the volatility in one market can be explained by volatility innovations in the other market and how fast these movements transfer between these markets. It conducts Multivariate Cointegration tests on the long-run relation between these two markets. It investigates the daily price discovery process by exploring the common stochastic trend between the S&P CNX Nifty and the Nifty future based on vector error correction model (VECM). It examines the volatility spillover mechanism with a bivariate BEKK model. Finally, this study captures the effects of recent policy changes in the Indian stock market. The results reveal the following: The VECM results show that the Nifty futures dominate the cash market in price discovery. The bivariate BEKK model shows that although the persistent volatility spills over from one market to another market bi-directionally, past innovations originating in future market have the unidirectional significant effect on the present volatility of the spot market. The findings of the study thus suggest that the Nifty future is more informationally efficient than the underlying spot market. These findings may provide insights on the information transaction and index arbitrage between the CNX Nifty and futures markets.

Managing long supply chain networks: some emerging issues and challenges

2008 ◽  
Vol 19 (4) ◽  
pp. 469-496 ◽  
Author(s):  
Vipul Jain ◽  
Lyes Benyoucef
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Supply Chains ◽  
New Products ◽  
Research Work ◽  
Future Market ◽  
Research Issues ◽  
Content Type ◽  
Supply Chain Networks ◽  
The Future

PurposeThe emergence of new manufacturing technologies, spurred by intense competition, will lead to dramatically new products and processes. New management systems, organizational structures, and decision‐making methods will also emerge as complements to new products and processes. This paper attempts to investigate technologies, systems and paradigms for the effective management of networked enterprise (supply chain networks), especially long supply chains. In doing so, the paper presents not only an exhaustive literature review to identify the complexities, gaps and challenges associated with long supply chains but also the emerging enabling technologies to support these gaps and challenges.Design/methodology/approachThe approach takes the form of an interview of industrials, researchers and a literature review.Findings“Competition in the future will not be between individual enterprises but between competing supply chains.” Business opportunities are captured by groups of enterprises in the same enterprise network. This is due to the global competition that forces enterprises to focus on their core competences.Practical implicationsThe paper presents a vision of the future technical issues relating to long supply chains and an insight into the future scientific and industrial advances required to meet future market and public demands.Originality/valueThis research work highlights the research issues and discusses the key enabling features, which will need to evolve and be perfected in industry in the future manufacturing networked enterprises and especially long manufacturing supply chains.

scholarly journals Measuring Efficiency of Selected Agriculture Commodities

2019 ◽  
Vol 8 (12S) ◽  
pp. 830-834
Keyword(s):  
Impulse Response ◽  
Response Function ◽  
Price Discovery ◽  
Impulse Response Function ◽  
Variance Decomposition ◽  
Spot Price ◽  
Future Price ◽  
Agricultural Commodity ◽  
Measuring Efficiency ◽  
Soya Oil

It has been observed that there is high fluctuation in eight agricultural commodities. In this study price discovery and causality has been studied in select six commodities out of the above mentioned eight commodities. We could not find sufficient data for cardamom and mentha oil. The commodities selected are chana,soyabean,soya oil,guargum,potato and pepper. The purpose is to study causality and price discovery in selected agri commodities. Design/methodology/approach - National Commodity Exchange of India (NCDEX) website. We could not found any cointegration between guargum and potato future and spot price. Single cointegration vector was being identified between spot and future prices of chana, Soyabean, soyarefined and Pepper. To measure causal nexus between future and spot price of the selected agricultural commodity Vector error correction model (VECM) is employed . This is consistent with market efficiency. Finally, impulse response function and Variance decomposition is used to see price discovery in these four commodities. Findings - The investigation shows that future leads to spot in case of soyabean and soya oil. Whereas in case of chana and pepper we found bi-directional relationship. As per Impulse response function and Variance decomposition we found future price leads in case of Chana,Soyaoil,Soyabean and pepper and performs price discovery function

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