Price Discovery in the Energy Future Market in India

2018 ◽  
Vol 8 (6) ◽  
pp. 1
Author(s):  
Koushik Das
Keyword(s):  
Price Discovery ◽  
Future Market

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.

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

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.

scholarly journals Future Trading in India and Commodity Price Risk Management: A Pragmatic Study

2014 ◽  
Vol 5 (1) ◽  
pp. 75
Author(s):  
Nirmala K. Reddy ◽  
B. M. Chandra Shekar ◽  
R. Munilakshmi
Keyword(s):  
Risk Management ◽  
Price Discovery ◽  
Commodity Prices ◽  
Commodity Price ◽  
Price Risk ◽  
Future Market ◽  
Informational Efficiency ◽  
Futures Trading ◽  
Economic Significance ◽  
Price Risk Management

Commodity future markets in India are experiencing unparalleled growth and have attained critical economic significance in the last one decade. On the other hand, instability in commodity prices is becoming an issue of great concern not only for India, but all over the world impacting income, economic growth and a poor adversely. Ever-increasing demand and supply side constraints are adding to the upsurge in prices of metal and agricultural commodities, affecting manufacturers and consumers at the same time. Moreover, farmer participation in the market has been very poor. So the price risk management in commodity is not a cliché but a necessity for the development of future market. In an agriculture based economy like India, commodity derivatives are expected to play a pivotal role in the process of price discovery and risk management. The price discovery in futures markets would not be effective unless spot markets are regulated and integrated. The present paper aims to analyse the performance of futures trading in improvising commodity price risk management in India. The study employs co-integration technique to study the existence of long-term relationship between the spot and future prices of agricultural and metal commodities traded in Indian commodity exchanges. The study also explores the volatility aspect in spot and future prices to test the informational efficiency of the contracts and comment on their suitability for hedging activities. Based on the results, propositions would be made on the nature of speculative conditions and offer suggestions for improvement futures trading in commodities.

Dynamic price discovery in China’s thermal coal future market

2020 ◽  
pp. 1-5
Author(s):  
Zhipeng Yan ◽  
Shenghong Li ◽  
Gongmin Zhao ◽  
Juanmei Zhou
Keyword(s):  
Price Discovery ◽  
Future Market ◽  
Dynamic Price ◽  
Thermal Coal

The Russian ruble crisis of December 2014

2016 ◽  
pp. 66-86
Author(s):  
A. Obizhaeva
Keyword(s):  
Microstructure Analysis ◽  
Future Market ◽  
Effective Response ◽  
Large Order ◽  
Short Period ◽  
The Face ◽  
Front Running ◽  
Futures And Options

The paper presents a microstructure analysis of the crash of the Russian ruble in mid-December 2014. The author shows that the market break probably happened due to the execution of a large order that converted Russian rubles into U.S. dollars over a short period of a few days. Expirations of futures and options as well as possible front-running could have exacerbated the collapse of the Russian currency. The paper discusses measures taken by the Moscow Exchange and Bank of Russia during the episode and makes several recommendations to prevent a repetition of the similar events and provide an effective response in the face of future market breaks.

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