Functional Effectiveness of Commodity Futures Market: A Comparative Assessment of Agricultural and Metal Commodities

Paradigm ◽  
2021 ◽  
Vol 25 (1) ◽  
pp. 42-60
Author(s):  
Bhabani Sankar Rout ◽  
Nupur Moni Das ◽  
K. Chandrasekhara Rao
Keyword(s):  
Price Discovery ◽  
Investment Decision ◽  
Futures Market ◽  
Comparative Assessment ◽  
Discovery Process ◽  
Causality Test ◽  
Long Run ◽  
Short Run ◽  
Vecm Granger Causality ◽  
Price Discovery Process

The study focuses on examining the price discovery process, short run disturbances and hedging mechanism of agricultural and metal commodities futures market for the period January 2010 to December 2018. Contango and normal backwardation have also been taken into deliberation for select commodities which are traded in MCX and NCDEX, India which is a valuable addition to the existing body of literature in derivatives market. Johansen’s co-integration, VECM, Granger causality test and OLS are employed for understanding the price discovery and constant hedging for select commodities. Further, existence contango and normal backwardation have been observed by comparing the spot and futures prices. It has been found that spot market is acting as a leader in the longer period and laggard in short run investors can be benefitted to take short run or long run investment decision.

scholarly journals The Price Discovery Mechanism between Sovereign Bond and Sovereign CDS Market: Studies in Selected Countries

2017 ◽  
Vol 9 (2) ◽  
pp. 270 ◽  
Author(s):  
Ngan Bich Nguyen
Keyword(s):  
Price Discovery ◽  
Empirical Test ◽  
Bond Market ◽  
Discovery Process ◽  
Sovereign Bond ◽  
Leading Role ◽  
Long Run ◽  
Pricing Process ◽  
Short Run ◽  
Price Discovery Process

This paper employs the multivariate VAR model to examine the mechanic work of price discovery process between sovereign CDS market and the associated sovereign bond market in contexts of five European and Asian countries, including Vietnam, Korea, Portugal, Italy and France from the beginning of 2008 to the end of April, 2017. The study accentuates on three aspects: the short-term interaction nexus between the sovereign CDS and the associated-sovereign bond market, the long-term co-movement between them and the discovery of which market plays the leading role in the pricing process. The results evidence the short-run and long-run relationship for the two markets. Particularly, the empirical test results support for the predominant role of the sovereign CDS market in the price discovery process in the bulk of sample entities. This might suggests for the governments to use CDS prices as the future indicator for predicting the volatility of debt markets.

scholarly journals THE IMPACT OF PRICE VARIABILITY ON CASH/FUTURES MARKET RELATIONSHIPS: IMPLICATIONS FOR MARKET EFFICIENCY AND PRICE DISCOVERY

2015 ◽  
Vol 47 (4) ◽  
pp. 539-559 ◽  
Author(s):  
CARLOS ARNADE ◽  
LINWOOD HOFFMAN
Keyword(s):  
Market Efficiency ◽  
Price Discovery ◽  
Discovery Process ◽  
Futures Prices ◽  
Price Variability ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run ◽  
The Impact ◽  
Price Discovery Process

AbstractThis study investigates the relationship between cash and futures prices of soybeans and soybean meal from 1992 to 2013. Error correction models are estimated for the prices of both commodities. An exogenous measure of price variability is included in both models to determine if variability increases the speed with which cash and futures prices return to their long-run equilibrium relationship. This is used to measure the impact of price variability on short-run market efficiency and the price discovery process. The findings indicate that the level of price variability influences market adjustment rates and the price discovery process.

Does Ban on Futures trading (de)stabilise spot volatility?

2019 ◽  
Vol 9 (2) ◽  
pp. 145-166 ◽  
Author(s):  
Neharika Sobti
Keyword(s):  
Granger Causality ◽  
Price Discovery ◽  
Futures Trading ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Spot Volatility ◽  
Non Parametric

Purpose The purpose of this paper is to ascertain the possible consequences of ban on futures trading of agriculture commodities in India by examining three critical issues: first, the author explores whether price discovery dominance changes between futures and spot in the pre-ban and post-relaunch phase both in the long run and short run. Second, the author examines the impact of ban and relaunch of futures trading on its underlying spot volatility for five sample cases of agriculture commodities (Wheat, Sugar, Soya Refined Oil, Rubber and Chana) using both parametric and non-parametric tests. Third, the author revisits the destabilization hypothesis in the light of ban on futures trading by examining the impact of unexpected component of liquidity of futures on spot volatility. Design/methodology/approach The author uses widely adopted methodology of co-integration to examine long-run relationship between spot and futures, while the short-run relationship is investigated using vector error correction model (VECM) and Granger causality to test price discovery in the pre-ban and post-relaunch phases. The second objective is explored using a combination of parametric and non-parametric tests such as Welch one-way ANOVA and Kruskal–Wallis test, respectively, to gauge the impact of ban on futures trading on spot volatility along with post hoc tests to investigate pairwise comparison of spot volatility among three phases (pre-ban, ban and post-relaunch) using Dunn Test. In addition, extensive robustness test is undertaken by adopting augmented E-GARCH model to ascertain the impact of ban and relaunch of futures trading on spot volatility. The third objective is investigated using Granger causality test between spot volatility and unexpected component of liquidity of futures estimated using Hodrick and Prescott (HP) filter to re-visit the destabilization hypothesis. Findings The author found extensive evidence for the dominance of futures market in the price discovery of agriculture commodities both in the pre-ban and post-relaunch phases in India. The ban on futures trading is found to have a destabilizing impact on spot volatility as evident from the findings of Wheat, Sugar and Rubber. In addition, it is observed that spot volatility was highest during the ban phase as compared to the pre-ban and post-relaunch phases for all four commodities barring Chana. The author found that destabilisation hypothesis holds true during the pre ban phase, while weakening of destabilization hypothesis is observed in the post-relaunch phase as unexpected futures liquidity has no role in driving the spot volatility. Originality/value This study is a novel attempt to empirically examine the potential impact of ban and relaunch of futures trading of agriculture commodities on two key market quality dimensions – price discovery and spot volatility. In addition, destabilization hypothesis is revisited to investigate the impact of futures trading on spot volatility during the pre-ban and post-relaunch period.

Price Discovery Process and Volatility Spillover in Spot and Futures Markets: Evidences of Individual Stocks

2010 ◽  
Vol 35 (2) ◽  
pp. 49-62 ◽  
Author(s):  
T Mallikarjunappa ◽  
E M Afsal
Keyword(s):  
Futures Markets ◽  
Price Discovery ◽  
Spillover Effect ◽  
Spot Market ◽  
Futures Market ◽  
Discovery Process ◽  
Short Term ◽  
Asymmetric Volatility ◽  
Spot Volatility ◽  
Price Discovery Process

This paper analyses information-based superiority of markets mainly with an objective of exploring arbitrage opportunities. It attempts to determine the lead-lag relationship between spot and futures markets in the Indian context by using high frequency price data of twelve individual stocks, observed at one-minute interval. The study applies the concept of co-integration and establishes the spot-futures relationship using Vector Error Correction Mechanism (VECM) represented by EGARCH framework. To study the price discovery process in the two markets, five lags each of one-minute resolution for nine individual stocks and four lags for the remaining three stocks are chosen. The key results of the study are given below: There is a contemporaneous and bi-directional lead-lag relationship between the spot and futures markets. A feedback mechanism of short life is functional between the two markets. Price discovery occurs in both the markets simultaneously. There exists short-term disequilibrium that could be corrected in the next period. Volatility spillover from spot market to futures market is present in such a way that a decrease in spot volatility leads to a decrease in futures volatility. Volatility shocks are asymmetric and persistent in both the markets. Spillover from futures market to spot market is not significant. Neither spot nor futures assume a considerable leading role and neither of the markets is supreme in price discovery. In the case of 33.33 per cent of spot values and 33.33 per cent of futures values, there exists short-term disequilibrium that could be corrected in the next period by decreasing the prices. Spot market volatility spills over to futures market in most of the cases (66.66 %) and a decrease in spot volatility brings about a decrease in futures volatility in 50 per cent of the cases. Spillover effect from futures to spot market is present and significant in 91.66 per cent of stocks and is more than the spillover effect from spot to futures (50% valid cases). The markets are highly integrated. Asymmetric behaviour of volatility shocks is mixed in both the markets. Asymmetric volatility is detected in 50 per cent of the cases of spot market and 58.33 per cent cases of futures market. Stocks exhibiting asymmetric volatility show more sensitivity to negative shocks. There are no cases of market becoming more volatile in response to good news.

Price Discovery and Market Efficiency of Commodities Futures Market in India- A Cointegration and Causality Analysis

2015 ◽  
Vol 5 (2) ◽  
Author(s):  
Shaik Masood ◽  
T. Satyanarayana Chary
Keyword(s):  
Market Efficiency ◽  
Price Discovery ◽  
Spot Market ◽  
Futures Market ◽  
Commodity Futures ◽  
Causality Analysis ◽  
Long Run ◽  
Integration Test ◽  
Short Run

The paper studies the Indian commodity futures market in order to determine the price discovery, long run market efficiency and short run dynamics in futures market using by time series analysis tools. To test the market efficiency and long run equilibrium, tools like Engle and Granger co-integration test (1987) and Johansen co-integration test (1988) have been applied. The Granger Causality (1969) test is used test the market efficiency to infer cause and affect relationship between spot and futures market in India. To examine efficiency of commodity futures and spot market the MCXs1 four spot and futures commodity indices data are used. The paper observes that the role of commodity futures is very significant in price discovery, and improving efficiency of the market.

Information Spillover in Indian Agricultural Commodities Market

2021 ◽  
pp. 2319510X2199404
Author(s):  
Sanjay Kumar Singh ◽  
Mukesh Kumar Jain ◽  
Shoeba
Keyword(s):  
Agricultural Sector ◽  
Price Discovery ◽  
Discovery Process ◽  
Agricultural Commodities ◽  
Spot Prices ◽  
Agrarian Economy ◽  
Long Run ◽  
Integration Test ◽  
Information Spillover ◽  
Price Discovery Process

Role of agricultural sector in Indian economy is prominent, as being an agrarian economy and having the second highest population in the world. Thus, the efficiency of this sector is the foremost factor for development and growth of the economy. This article attempts to examine the price discovery relationship of future and spot prices of five agricultural commodities, namely cardamom, crude palm oil, cotton, mentha oil and kapas, during the period 2011–2019. Johansen’s co-integration test, vector error correction model (VECM) and Granger causality block exogeneity test were employed for the study. We found that price discovery process is established for agricultural commodities under consideration. Future prices act as a leader in achieving long-run equilibrium for all commodities except cardamom. Causality was significantly reported for all commodities, as bidirectional causality runs between the prices. The study suggests that Forward Market Commission should be empowered more to control and regulate the market, which will ensure the efficient market situations in these commodities’ market. Attempt was made to evaluate price discovery process in agricultural commodities market during post sub-prime crisis period, which was ignored by majority of researchers.

scholarly journals The Lead and Lag Relationship Between Spot Market and Futures Market: Empirical Evidence From Vietnam

2020 ◽  
Vol 11 (5) ◽  
pp. 192
Author(s):  
Nguyen Anh Phong ◽  
Ho Thi Hong Minh ◽  
Ngo Phu Thanh ◽  
Tran Nguyen Thanh Son
Keyword(s):  
Stock Exchange ◽  
Impulse Response Function ◽  
Spot Market ◽  
Futures Market ◽  
Spot Price ◽  
Future Price ◽  
Causality Test ◽  
Long Run ◽  
Integration Test ◽  
Short Run

This study investigates the lead and lag relationship between Spot market and Futures market in Vietnam. In this study, we employ the data collected from stock-related database in Ho Chi Minh Stock Exchange and Ha Noi Stock Exchange. The data of daily closing prices of VN30 index (the spot price) and VN30F1M (the 1-month future price of VN30 index) are then collected. We apply various methods, namely: Granger causality test, Johansen co-integration test, Vector Error Correlation Model, Impulse Response Function and Variance Decomposition. The result of this paper is consistent with previous research. It finds strong evidence that Spot market leads Futures market in Vietnam stock market in both the short-run and long-run. Therefore, Spot market play a discovery role in which investors can obtain useful information from Spot market to improve their portfolio profit and minimize the risk. Besides, regulators can rely on this finding to come up with better policies and further develop Futures market.

EMPIRICAL ANALYSIS OF INDIA’S FOREIGN TRADE AND ECONOMIC GROWTH

2020 ◽  
Vol 8 (10) ◽  
pp. 105-111
Author(s):  
Khujan Singh ◽  
Anil Kumar
Keyword(s):  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Significant Implication ◽  
Causality Test ◽  
First Order ◽  
Long Run ◽  
Directional Relation ◽  
Augmented Dickey Fuller ◽  
Vecm Granger Causality

The present study is an attempt to examine long run relationship among India’s GDP, Exports and Imports for which yearly time series data from 1995 to 2018 has been collected. Data for India’s GDP has been collected from RBI website and India’s export and import data has been collected form Ministry of Commerce and Industry website. The Augmented Dickey-Fuller unit root test for stationarity found that studied variables become stationary at first order of difference. While, Johnson cointegration test revealed long run cointegration between India’s GDP, exports and imports. The results of VECM Granger causality test exhibited bi-directional relationship between India’s GDP and India’s exports, whereas uni-directional relation has been found between India’s GDP and India’s imports. These results have significant implication for India’s export import policy and to achieve a target of $5 trillion economy till 2024-2025.

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