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.

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.

An investigation of price discovery and volatility spillovers in India’s foreign exchange market

2015 ◽  
Vol 42 (2) ◽  
pp. 261-284 ◽  
Author(s):  
Sanjay Sehgal ◽  
Wasim Ahmad ◽  
Florent Deisting
Keyword(s):  
Price Discovery ◽  
Stock Exchange ◽  
Futures Market ◽  
Volatility Spillover ◽  
Futures Prices ◽  
Content Type ◽  
Volatility Spillovers ◽  
Currency Market ◽  
Short Run

Purpose – The purpose of this paper is to examine the price discovery and volatility spillovers in spot and futures prices of four currencies (namely, USD/INR, EURO/INR, GBP/INR and JPY/INR) and between futures prices of both stock exchanges namely, Multi-Commodity Stock Exchange (MCX-SX) and National Stock Exchange (NSE) in India. Design/methodology/approach – The study applies cointegration test of Johansen’s along with VECM to investigate the price discovery. GARCH-BEKK model is used to examine the volatility spillover between spot and futures and between futures prices. The other two models namely, constant conditional correlation and dynamic conditional correlation are used to demonstrate the constant and time-varying correlations. In order to confirm the volatility spillover results, the study also applies test of directional spillovers suggested by Diebold and Yilmaz (2009, 2012). Findings – The results of the study show that there is long-term equilibrium relationship between spot and futures and between futures markets. Between futures and spot prices, futures price appears to lead the spot price in the short-run. Volatility spillover results indicate that the movement of volatility spillover takes place from futures to spot in the short-run while spot to futures found in the long-run. However, the results of between futures markets exhibit the dominance of MCX-SX over NSE in terms of volatility spillovers. By and large, the findings of the study indicate the important role of futures market in price discovery as well as volatility spillovers in India’s currency market. Practical implications – The results highlight the role of futures market in the information transmission process as it appears to assimilate new information quicker than spot market. Hence, policymakers in emerging markets such as India should focus on the development of necessary institutional and fiscal architecture, as well as regulatory reforms, so that the currency market trading platforms can achieve greater liquidity and efficiency. Originality/value – Due to recent development of currency futures market, there is dearth of literature on this subject. With the apparent importance of currency market in recent time, this study attempts to study the efficient behavior of currency market by way of examining the price discovery and volatility spillovers between spot and futures and between futures prices of four currencies traded on two platforms. The study has strong implications for India’s stock market especially at the time when its currency is under great strain owing to the adverse impact of global financial crisis.

An Empirical Analysis of Market Efficiency and Price Discovery in Indian Commodity Market

2018 ◽  
Vol 19 (3) ◽  
pp. 771-789 ◽  
Author(s):  
Shashi Gupta ◽  
Himanshu Choudhary ◽  
D. R. Agarwal
Keyword(s):  
Error Correction ◽  
Market Efficiency ◽  
Price Discovery ◽  
Correction Term ◽  
Futures Market ◽  
Commodity Futures ◽  
Spot Price ◽  
Futures Prices ◽  
Short Term ◽  
Important Indicator

The present article is an attempt to empirically investigate the long-term market efficiency and price discovery in Indian commodity futures market. The study has been conducted with eight commodities which include two agricultural commodities, two industrial commodities, two precious metal and two energy commodities. Sophisticated statistical methods like restricted cointegration and vector error correction model (VECM) are used to analyse the spot and futures prices time series. Restricted cointegration test shows that near-month futures prices for all the commodities are cointegrated with the spot prices but futures prices of all the commodities are inefficient to predict the future spot price. Indian commodity futures market evidenced as the thinly traded market (Kumar & Pandey, 2013, Journal of Indian Business Research, 5(2), 101–121) rejects the null hypothesis of efficiency and unbiasedness for all the eight commodities which reconfirms the result of Fortenbery and Zapata (1997, Journal of Futures Markets, 17(3), 279–301). The presence of short-term biases in the Indian futures market is evidenced in the results of VECM model which indicates the presence of informational efficiency. The statistically significant value of past prices of spot and futures confirm the short-term inefficiency and biasedness. The significant value of error correction term (ECT) of futures prices suggests that commodity futures are the most important indicator of commodity price movements. The important implication of the results is for market traders. They can use the futures prices to discover the new equilibrium and earn profits by transmitting it to the spot market. The better understanding of the interconnectedness of these market would be useful for policymakers who try to establish stability in the financial 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.

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.

Efficiency of Indian Equity Futures Market—An Empirical Analysis with reference to National Stock Exchange

2020 ◽  
pp. 097215092092046
Author(s):  
Partha Sarathi Roy ◽  
Tanupa Chakraborty
Keyword(s):  
Stock Exchange ◽  
Spot Market ◽  
Futures Market ◽  
Primary Objective ◽  
Impulse Response Functions ◽  
Market Capitalization ◽  
Long Run ◽  
Short Run ◽  
Underlying Stocks ◽  
Long Run Equilibrium

At National Stock Exchange (NSE), the largest by market capitalization and the most liquid stocks, which form the majority of free float market capitalization of the exchange, have traded futures contracts. The equity stock futures segment in India has recorded very high growth in trading volume and turnover for more than one decade where majority trade happens on NSE. The primary objective of this study is to investigate the dynamic linkages between equity stock futures and their underlying spot markets. The article examines market efficiency and the causal relationship between single-stock futures and underlying stocks traded at NSE, by employing Johansen cointegration test, a test for autoregressive (AR) order of basis, vector error correction model (VECM) and impulse response functions. The result shows the existence of long-run equilibrium relationship between equity stock futures and their underlying stocks. The spot market is found to play a lead role in correction of any short-run disequilibrium towards long-run equilibrium, for the majority of stocks. Both spot and future markets contribute in price discovery and neither of the markets display considerably higher information efficiency compared to the other. In contrast, the study also reveals possibilities of arbitrage opportunity between the equity stock futures market and the underlying spot market in absence of transaction costs possibly due to faster correction of short-run disequilibrium by spot prices.

scholarly journals Empirical Evidence of the Causative Association between Spot, Futures and Options Market: An ARDL Model Approach

2020 ◽  
Vol 11 (1) ◽  
pp. 202
Author(s):  
Vaishali Jain ◽  
Rahul Dhaigude ◽  
Rajiv Divekar
Keyword(s):  
Causal Relationship ◽  
Price Discovery ◽  
Stock Exchange ◽  
Spot Market ◽  
Options Markets ◽  
Ardl Model ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Futures And Options

Purpose: The purpose of this paper is to explore and provide evidence about the nature of short run causal relationship as well as the speed with which prices adjust towards achieving the long run equilibrium between cash and FAO markets in India as represented by National Stock Exchange. The study uses individual stocks for studying the underlying relationship.Design/Methodology: The paper makes use of the auto regressive distributed lag model to study the causal relationship between spot, futures and options markets. The study makes use of the 15-minute interval trades data for the purpose of analysis.Findings: The ARDL model shows a long run association between spot, futures & options (both call & put) prices but we do not have sufficient statistical evidence to conclude the short run causal association between the variable except for call and put options.Practical Implications: The results indicate that derivative markets are not leading the spot market but spot market contributes towards price discovery in the FAO markets. Potential investors can take their positions and design their portfolio in the cash and FAO segments using the insights provided by this piece of work.Originality/Value: This paper is an original piece of work towards evidencing the causative association between spot, futures and options markets using individual securities. Matters pertaining to price discovery process in Indian financial markets are issues of interest for financial thinkers, traders, investors and financial analysts.

Crude Oil Volatility Transmission Across Food Commodity Markets: A Multivariate BEKK-GARCH Approach

2020 ◽  
pp. 097265272092762
Author(s):  
M. Thenmozhi ◽  
Shipra Maurya
Keyword(s):  
Crude Oil ◽  
Futures Markets ◽  
Spot Market ◽  
Futures Market ◽  
Spot Price ◽  
Volatility Spillover ◽  
Oil Futures ◽  
Long Run ◽  
Short Run ◽  
Crude Oil Futures

This study examines the time-varying price risk transmission in the nexus between crude oil and agricultural commodity prices in the context of non-grain-based biofuel producing country. Analysis of the short- and long-run dynamics of volatility in both spot and futures markets of maize, soybean and wheat and crude oil prices using the multivariate BEKK-GARCH model, indicate volatility spillover from wheat futures to crude oil futures in the short run and from crude oil futures to futures markets of maize, soybean and wheat in the long run. The spot market linkage of selected commodities is weaker compared to futures market, wherein maize spot volatility transmits to crude oil spot market in the longer period and no spillover between crude oil-food spot market is observed in the short run. The hedge ratios indicate that a dynamic hedging strategy is crucial for efficient risk management and the portfolio weights in futures market are more than the spot market. The results reveal that cross-market volatility spillover is more evident in the futures market, while own past conditional volatility is more significant in spot price discovery and risk transmission is evident among food commodities futures markets. JEL Codes: G13, G14, Q11, Q18, Q02

An Econometric Analysis on the Relationship between Globalisation and Inequality in South Africa

2020 ◽  
Vol 11 (1) ◽  
pp. 89-89
Author(s):  
Jacques de Jongh
Keyword(s):  
South Africa ◽  
Well Being ◽  
Causality Analysis ◽  
Global Integration ◽  
Development Indicators ◽  
Long Run ◽  
The World ◽  
Distribution Of Resources ◽  
Short Run ◽  
The Impact

Globalisation has had an unprecedented impact on the development and well-being of societies across the globe. Whilst the process has been lauded for bringing about greater trade specialisation and factor mobility many have also come to raise concerns on its impact in the distribution of resources. For South Africa in particular this has been somewhat of a contentious issue given the country's controversial past and idiosyncratic socio-economic structure. Since 1994 though, considerable progress towards its global integration has been made, however this has largely coincided with the establishment of, arguably, the highest levels of income inequality the world has ever seen. This all has raised several questions as to whether a more financially open and technologically integrated economy has induced greater within-country inequality (WCI). This study therefore has the objective to analyse the impact of the various dimensions of globalisation (economic, social and political) on inequality in South Africa. Secondary annual time series from 1990 to 2018 were used sourced from the World Bank Development indicators database, KOF Swiss Economic Institute and the World Inequality database. By using different measures of inequality (Palma ratios and distribution figures), the study employed two ARDL models to test the long-run relationships with the purpose to ensure the robustness of the results. Likewise, two error correction models (ECM) were used to analyse the short-run dynamics between the variables. As a means of identifying the casual effects between the variables, a Toda-Yamamoto granger causality analysis was utilised. Keywords: ARDL, Inequality, Economic Globalisation; Social Globalisation; South Africa

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