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.

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.

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.

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

scholarly journals Relationship Between Spot Prices and Futures Prices: Evidence From Karachi Stock Exchange

2021 ◽  
Vol 5 (2) ◽  
pp. 109-123
Author(s):  
Muhammad Asif Ali ◽  
Muhammad Asif Ali ◽  
Dr. Naveed Hussain Shah
Keyword(s):  
Granger Causality ◽  
Stock Exchange ◽  
Granger Causality Test ◽  
Spot Market ◽  
Futures Market ◽  
Futures Prices ◽  
Causality Test ◽  
Spot Prices ◽  
Unit Root Testing ◽  
Integration Test

This study investigates the relationship between futures prices and their underlying spot prices of the stocks trading on Pakistan stock market. Data on the monthly closing prices of future contracts and their underlying stocks of 30 companies for the period January 2004 to June 2014 have been taken for analysis. Descriptive statistics, Augmented Dicky Fuller test for unit root testing, Johnson Co-integration test, Granger causality test and Vector Error Correction Model are used. The results confirms significant long term relationship between futures prices and the associated Spot prices in case of 26 companies. The report of Granger causality test indicates that a Bi-directional causality lack to exist in case of each security, VECM shows that Spot prices for current month are effected by previous month prices in case of 7 companies, while futures prices of current month are affected by previous month prices in case of 4 companies. VECM illustrates that the volatility shocks in spot market are less effected by futures market, however the volatility shocks in corresponding futures market were strongly and significantly affected by spot market volatility.

scholarly journals The Integration of Conventional Equity Indices with Environmental, Social, and Governance Indices: Evidence from Emerging Economies

2021 ◽  
Vol 13 (2) ◽  
pp. 676
Author(s):  
Ramiz ur Rehman ◽  
Muhammad Zain ul Abidin ◽  
Rizwan Ali ◽  
Safwan Mohd Nor ◽  
Muhammad Akram Naseem ◽  
...  
Keyword(s):  
South Africa ◽  
Function Analysis ◽  
Impulse Response Function ◽  
Decomposition Analysis ◽  
Individual Country ◽  
Brics Countries ◽  
Long Run ◽  
Integration Test ◽  
Short Run ◽  
Equity Indices

This study investigates the integration of environmental, social, and governance (ESG) equity indices with conventional indices in Brazil, Russia, India, China, and South Africa (BRICS) individually and across all BRICS countries to better understand regional economic cooperation. Accordingly, we look at daily returns from 13 July 2013 to 28 February 2018 for the Morgan Stanley Capital International (MSCI) ESG indices and MSCI composite indices of the respective countries. To analyze the integration between the ESG equity indices of the sampled countries with their regional and across regional conventional counterparts, the Johansen Co-integration test is employed in this study. Further, the vector error correction model (VECM) is applied to test the causality between the sampled time-series. The impulse response function analysis further explains the impulse responses of each country’s MSCI ESG returns to one standard deviation of innovations to MSCI composite returns of the same country and across countries. Finally, the extent of the MSCI composite returns’ impact on the MSCI ESG returns in the same country indices, and cross-regional indices is examined with variance decomposition analysis. The results suggest that all ESG equity indices are integrated with conventional indices in all BRICS countries. Furthermore, there is a short-or long-run causality between MSCI ESG and MSCI composite equity indices of China and South Africa. Moreover, the study finds only short-run causality between conventional and non-conventional equity indices of Brazil and Russia, whereas we find only long-run causality between India’s non-conventional and conventional equity indices. Finally, the study finds that the all-individual country MSCI ESG equity indices shows a long-run causality with MSCI composite equity indices of all other BRICS countries. The findings also confirm the economic and financial cooperation between the BRICS countries.

scholarly journals Foreign Direct Investment, Financial Development and Economic Growth Evidence from Saudi Arabia

2017 ◽  
Vol 8 (4) ◽  
pp. 228 ◽  
Author(s):  
Najeeb Muhammad Nasir ◽  
Mohammed Ziaur Rehman ◽  
Nasir Ali
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Financial Development ◽  
Direct Investment ◽  
Impulse Response Function ◽  
Saudi Arabian ◽  
Causality Test ◽  
Long Run ◽  
Oil Resources ◽  
Integration Test

This study is an effort to explain and establish a relationship among foreign direct investment, financial development and economic growth in Saudi Arabian context for the period of 1970 to 2015 by employing Vector Auto Regression (VAR) and modified Granger Casualty Models. The result of Johansen co-integration test illustrates that no long run co-integration can be established among the variables. VAR has established a link between economic growth, financial development and foreign direct investment. The Granger causality test also confirms that economic growth causes foreign direct investment and financial development which is a unidirectional causality running from economic growth towards foreign direct investment and financial development. No significant causality can be observed empirically between foreign direct investment and financial development. This feature can be attributed to the fact that Saudi Arabian economy is still heavily dependent on its oil resources which is the driving force behind growth. Impulse Response Function has been utilized in order to observe the response to the shocks among the variables.

The Linkage between Chittagong Stock Market and Dhaka Stock Market

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Muhammad Shahidullah Tasfiq ◽  
◽  
Nasrin Jahan
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Price ◽  
Impulse Response Function ◽  
Decomposition Analysis ◽  
Variance Decomposition ◽  
Causality Test ◽  
Long Run ◽  
Short Run ◽  
Variance Decomposition Analysis

This paper aims at determining the relationship between the two domestic stock markets of Bangladesh – the Chittagong Stock Market (CSE) and the Dhaka Stock Market (DSE). The daily stock price indices that represent the performance of the two stock markets are collected. In order to find out the interdependent relationship, the Engle-Granger Cointegration test, Granger Causality test, Impulse Response Function, and Variance Decomposition Analysis are employed in this paper. The main finding of this study is that both the stock markets are related in the long run. However, there is a one-way short-run effect from the DSE on the CSE market. The CSE market quickly responds to the shock in the DSE market. But, the DSE market is not responsive to the CSE market. The variance decomposition analysis shows that most of the shocks in the CSE market are explained by its own market. On the other hand, a small number of shocks in the DSE market are explained by the CSE market as well as its own market.

scholarly journals AN ANALYSIS OF STOCK MARKET INTEGRATION IN THE ASIAN DEVELOPED AND EMERGING MARKETS

2021 ◽  
Vol 9 (3) ◽  
pp. 1175-1190
Author(s):  
Sadiq Rehman ◽  
Asif Ali Abro ◽  
Ahmed Raza Ul Mustafa ◽  
Najeeb Ullah ◽  
Sanam Wagma Khattak
Keyword(s):  
Stock Market ◽  
Emerging Markets ◽  
Stock Markets ◽  
Impulse Response Function ◽  
Variance Decomposition ◽  
Short Term ◽  
Emerging Stock Markets ◽  
Long Run ◽  
Integration Test ◽  
Short Run

Purpose of the study: This study investigates Short-run, Long-run, and Casual relationships in the Asian Developed and Emerging stock market indices for the period of 19 years weekly data of stock market indices of Asian Developed and Emerging Markets which are Japan (Nikkei 225), South Korea (KOSPI), Pakistan (KSE 100), China (SSE Composite), Sri Lanka (ASPI), India (BSE 200) and Malaysia (KLSE composite) from January 2001 to December 2019. Methodology: To analyze long-run and short-run relationships among the Asian developed and emerging stock markets, this study practices Descriptive Statistics, Correlation Matrix, Unit Root Test, Johansen Co-Integration Test, Vector Error Correction Model, Granger Causality test, Variance Decomposition and Impulse Response Function (IRF). Main findings: By employing the ADF and P.P. tests, the results specify that the entire variables' data are non-stationary and stationary in exact order, which is 1st difference. The Johnson Co-integration test found one cointegration relationship, where the results are consistent with Granger causality, Variance Decomposition, and Impulse Response Function (IRF). Application of the study: As the current research has focused on finding out the comovements in the Asian developed and emerging markets. So, the applications are that the survey found short-run and long-run relationships in these countries' stock markets. The study's originality: The current study has selected seven Asian developed and emerging stock markets and weekly updated time series data to investigate short-term and long-term linkages. So, this study found long-run comovements in these stock indices, which contributes to the literature. In addition, these stock markets have limited diversification benefits for international investors, while short-term diversification benefits may exist.

scholarly journals An econometric modelling of the savings – investments nexus for Ghana

2021 ◽  
Vol 33 (1) ◽  
pp. 40-56
Author(s):  
Samuel Asuamah Yeboah ◽  
◽  
Boateng Kwadwo Prempeh ◽  
Keyword(s):  
Structural Break ◽  
Impulse Response Function ◽  
Policy Formulation ◽  
Predictive Test ◽  
Bounds Testing ◽  
Short Term ◽  
Causality Test ◽  
Long Run ◽  
Short Run

Introduction. The problem under discussion is whether savings are associated with investments in the long-term and whether savings predict investment with feedback or not. Addressing the problem is important since it informs policy formulation in the financial sector in ensuring efficient financial intermediation. The purpose of the article is looks at the savings-investment relationship for Ghana during the period 1960 to 2016. Methodology. Utilizing ARDL (with bounds testing) approach, the Granger predictive test, the Generalised Impulse Response Function, and Variance decomposition function. Results. The results indicate that a 1% increase in savings, GDP and financial development would result in a 0.069%, 0.266% and 0.125% increase respectively in investment in the short-term. It is discovered that savings do not cause investment in the long-run but rather in the short-run. The Granger causality test establishes a unidirectional causality running from savings to investment in the short-run. Discussion and Conclusion. The ramifications of the finding are that there is capital fixed status globally. Future examinations ought to consider structural break(s) issues as well as panel analysis to determine if the findings of the current study would be reproduced.

Do ‘Shariah’ indices surpass conventional indices? A study on Dhaka Stock Exchange

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Bokhtiar Hasan Aarif ◽  
Muhammad Rafiqul Islam Rafiq ◽  
Abu N.M. Wahid
Keyword(s):  
Stock Exchange ◽  
Forecast Error ◽  
Error Variance ◽  
Impulse Response Functions ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Significant Difference ◽  
Short Run ◽  
Two Indices

Purpose This paper aims to examine whether the Sharīʿah indices outperform the conventional indices as evident from Dhaka Stock Exchange (DSE). To achieve the objective, the study, first, assesses the risk adjusted returns of the Sharīʿah and conventional indices and compares the same between the two indices. Second, it examines the short-run and long-run associations between the two indices. Design/methodology/approach The DSEX Sharīʿah index and DSE broad index of the DSE are used as representatives of the Sharīʿah and conventional indices, respectively. The study uses monthly data for the period 2014–2018 and applies a number of techniques such as risk adjusted returns, Johansen’s cointegration test, vector error correction model, Granger causality test, forecast error variance decomposition and impulse response functions techniques. Findings The study reveals that albeit there is no significant difference in simple mean between the two indices, the Sharīʿah index outperforms its conventional counterpart based on the risk adjusted returns. The two indices are associated only in the long-run, while no causal relationship is spotted between them. The overall results show that the Sharīʿah index has dominance over the conventional index in Bangladesh. Research limitations/implications The study could use more pairs of indices, including additional variables such as financial crisis and macroeconomic variables. Practical implications The study has important implications to investors, especially the religious Muslims and ethical ones, who are suggested to invest their funds in the Sharīʿah index without sacrificing returns, rather be monetarily more benefited. Moreover, the other investors can generate diversification benefits by adding both Sharīʿah and conventional indices in their portfolios in the short-run. Originality/value Unlike previous studies, this study endeavors to use a comprehensive methodology to conduct its analysis. Moreover, this is supposedly the first ever effort to conduct such a study in the context of Bangladesh.

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