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Lead-Lag Relationship and Price Discovery in Indian Commodity Derivatives and Spot Market

Lead-Lag Relationship and Price Discovery in Indian Commodity Derivatives and Spot Market
Author: Vasantha Naik
Publisher:
Total Pages:
Release: 2015
Genre:
ISBN:

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This study examines the lead-lag relationship and price discovery process between spot and futures market of pepper in India by employing Johansen's cointegration test and the bivariate VECM-EGARCH(1, 1) models. Augmented Dickey-Fuller (ADF) and Phillips Perron (PP) tests are used to check the stationarity of the price series. The study finds that spot market absorbs the information faster than futures market, and therefore, the former plays a significant role in the price discovery process.


Lead - Lag Relationship Between Spot and Futures Market of Indian Metal Commodity Market

Lead - Lag Relationship Between Spot and Futures Market of Indian Metal Commodity Market
Author: Velmurugan Palaniappan Shanmugam
Publisher:
Total Pages: 17
Release: 2017
Genre:
ISBN:

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This paper examined the lead-lag relationship between the futures market and spot market for the metal commodity market during the sample period January 2010 through August 2014. The econometric tools like Unit root tests, Johansen co-integration test and Pairwise Granger Causality tests were employed in the study. The Augmented Dickey Fuller tests and Phillips-Perron tests employed in the study proved that both the selected metals markets were stationary series, Johansen co-integration test proved selected metals spot and future markets are co-integrating each other and the Granger Causality test proved uni-causality relationships among these markets between spot and future market return series during the study period.


Effect of Futures Trading on Spot Market Volatility

Effect of Futures Trading on Spot Market Volatility
Author: Brajesh Kumar
Publisher:
Total Pages: 25
Release: 2011
Genre:
ISBN:

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This study investigates the relationship between futures trading activity and spot market volatility for agricultural, metal, precious metals and energy commodities in Indian commodity derivatives market. This article contributes to the debate whether the futures trading in Indian commodity futures market stabilizes or destabilizes spot market. We explore this issue by modeling contemporaneous as well as dynamic relationship between spot volatility and futures trading activity including trading volume (speculative/day trading) and open interest (hedging). Following Bessembinder and Senguin (1992), we examine contemporaneous relationship through augmented GARCH model in which spot volatility is modeled as GARCH (1,1) process and trading activity is used as explanatory variable. We also decompose futures trading volume and open interest series into expected and unexpected component. The lead-lag relationship between spot price volatility and futures trading volume and open interest is investigated through VAR model. Granger causality tests, forecast error variance decompositions and impulse response function are used to understand the dynamic relationship between these variables. We found that both expected and unexpected futures trading volume affects contemporaneous spot volatility positively. However, in case of agricultural commodities only unexpected volume affects the contemporaneous spot volatility. Granger causality tests, forecast error variance decompositions and impulse response function confirm that the lagged unexpected volatility causes spot price volatility for all commodities. The effect of speculative/day trading activity measured by trading volume on spot market volatility is positive. However, hedging activity measured by open interest does not show significant effect on spot market volatility. We do not find any effect of spot volatility on futures trading activity for most of the commodities.


Market Moves

Market Moves
Author: Maude Whitaker
Publisher:
Total Pages: 0
Release: 2023-11-02
Genre: Business & Economics
ISBN: 9787059513712

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Exploring Price Dynamics in Indian Commodity Markets Understanding Long-Term and Short-Term Relationships In this preface, we introduce our present research work, which delves into the examination of the relationship, both long-term and short-term, as well as the dynamics of price discovery and volatility spillover between the spot and futures commodity markets in India. Furthermore, this thesis aims to detect variations in primary outcomes during distinct crisis periods, namely the Global Financial Crisis (GFC) and the European Sovereign Debt Crisis (ESDC). Data and Objectives Our study leverages daily closing price data for 12 commodities spanning various sectors, covering the period from January 1, 2007, to December 31, 2017. The overarching objectives of this investigation encompass the examination of cointegration, the elucidation of the price discovery function, and the analysis of the volatility spillover effect between the Indian spot and futures commodity markets. To ensure a nuanced understanding and time-dependent results, we partitioned the data into four distinct sub-periods: the GFC period from January 1, 2007, to November 12, 2008; the post-GFC period from November 13, 2008, to April 11, 2011; the ESDC period from April 12, 2011, to August 31, 2015; and finally, the post-ESDC period spanning from September 1, 2015, to December 31, 2017. Methodology To achieve these objectives, we employ a range of econometric tools selected based on previous scholarly literature. These tools encompass the Unit Root test, including the Augmented Dickey Fuller and Phillips-Perron tests, Johansen's Cointegration test, Vector Error Correction Model (VECM), Vector Autoregression (VAR), Autoregressive Distributed Lag (ARDL) model, Granger Causality test, and the **Glosten-Jagannathan-Runkle Generalized Autoregressive Conditional Heteroskedasticity (GJR-GARCH) model. Key Findings Our findings reveal that, in the long-term, all commodities exhibit cointegration with their respective spot and futures markets, with the exception of natural gas and soybean during the post-GFC period, gold, aluminium, and lead during the ESDC period, and Jeera during the post-ESDC period. This suggests that these exceptions signify efficiency between their spot and futures markets. In the short-term, all commodities demonstrate cointegration with their spot and futures markets, except Jeera during the GFC and post-GFC periods.


The Price Discovery and Efficiency of Indian Commodity Future Market

The Price Discovery and Efficiency of Indian Commodity Future Market
Author: Rahul Roy
Publisher: LAP Lambert Academic Publishing
Total Pages: 168
Release: 2013
Genre:
ISBN: 9783659474811

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The study investigates the performance of Multi-Commodity Exchange Futures market in terms of market efficiency and price discovery with the Johansen & Juselius (1990) co-integration model. Vector Error Correction Model has been used to expose the short-term relationship between spot and future market. The empirical results revealed that with the evidence, to support the long-run equilibrium relationships in Spot-Futures markets and the dominant role of futures in price discovery. To that extent the price formation is efficient i.e., futures markets are perfect hedge against the variations in spot-prices and the price movements in the futures market lead price formation in the spot-market. The results owes that futures market exerts a stronger influence on the spot-market and, therefore, to that extent the futures prices are able to discover prices efficiently. The empirical results thus, leads to a conclusion that the MCX futures market is matured and efficient.


Indian Commodity Market

Indian Commodity Market
Author:
Publisher: Serials Publications
Total Pages: 806
Release: 2010
Genre: Agricultural industries
ISBN: 9788183873833

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Papers presented at the Workshop cum Seminar on "Indian Commodity Market Derivatives & Risk Management : the Road Ahead", held at Puducherry during 11-12 September 2009.


Price Discovery and Spill-Over Impact in The Indian Commodity Futures Market

Price Discovery and Spill-Over Impact in The Indian Commodity Futures Market
Author: Chinmaya Behera
Publisher:
Total Pages: 16
Release: 2017
Genre:
ISBN:

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Price discovery and risk management are two major important economic functions of futures market. Price discovery gives competitive reference (futures) price from which spot price can be derived. The study examines price discovery and spill-over impact in the Indian futures market using metal and energy futures. Sample data consist of daily futures and spot closing price from 1st June, 2005 to 29th January 2016 for gold, silver and copper. Using cointegration and error correction mechanism, the study finds the fair price discovery in the futures market. The study also finds that price discovery takes place first in the futures market then transgresses to spot market. Ratio of standard deviation is used to check the market efficiency in the futures market and it is found that gold market is not efficient as it fails to incorporate all the information available in the market. Using BEKK model volatility spill-over impact is observed to be statistically significant in all the commodity spot and futures returns. Bidirectional shocks transmission can be observed across the commodities like gold, silver and copper which means shocks in the futures market do have impact on spot market volatility for gold, silver and copper.


Relationship Between Spot and Futures Prices

Relationship Between Spot and Futures Prices
Author: Rajni Kant Rajhans
Publisher:
Total Pages: 8
Release: 2015
Genre:
ISBN:

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In developed financial markets, there is no dearth of literature on relationship between spot and future market. India, in the year 2000 introduced derivative market to provide risk mitigation mechanism to market participants. The present study concluded that there is no short-run relationship between Nifty 50 Index and Nifty 50 Futures Index while there is a long-run relationship between the two. The combined analysis of outputs of Granger Causality and Johansen co-integration provided a more rational justification and can be interpreted that possibly at a time of high volatile market when price discovery is not more on rational basis but rather on other spill-over, a short-run lead-lag relationship could not be observed between spot stock index and futures index. However, in long-run the volatility dies away and market returns back to fundamental factors and hence, there is evidence of long-run relationship between spot stock index and futures index.


Price Discovery and Volatility Spillover in the Agricultural Commodity Futures Market in India

Price Discovery and Volatility Spillover in the Agricultural Commodity Futures Market in India
Author: M Ajoy Kumar
Publisher:
Total Pages:
Release: 2015
Genre:
ISBN:

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In 2002, when the government permitted futures trading on most of the commodities and allowed setting up of national level exchanges, trading in agricultural commodities grew very fast with soy oil, soy bean, mustard seed and chana constituting the major share in 2013. The current study attempts to analyze the price behavior in terms of returns as well as volatility between the spot and futures markets for these four commodities. The study uses a combination of VECM and EGARCH models to analyze the data. The study finds existence of long-term equilibrium relationship between the futures and spot prices, with the futures leading the spot. In the short run, futures returns seem to have a stronger impact on the spot returns in most of the commodities.