scholarly journals Long Run and Short Run Co movement among Oil Prices and Stock Market Liquidity: Evidence from the Emerging Equity Market of Pakistan

2021 ◽  
Vol 3 (3) ◽  
pp. 231-241
Author(s):  
Sania Sarfraz ◽  
Mumtaz Ahmad ◽  
Muhammad Husnain

Abstract: The objective of this study is to examine the long run and short run relationship between oil prices and stock market liquidity in Pakistan stock exchange. Design/Methodology/Approach: The sample spans 10 years from 2010 to 2019. We use auto-regressive distributed lag (ARDL) to examine long-term and short-term relationships between oil prices, exchange rate, stock market index, market volatility and inflation and stock market liquidity. We use normality checks, serial correlation tests, heteroscedasticity tests, and CUSM models to assess model stability. Findings: Result shows that there exist a long-term negative association between exchange rate and inflation, but a positive relationship is revealed between oil prices, stock returns, and market volatility. These conclusions hold for three sectors i.e. automobile, cement and sugar. Implications/Originality/Value: This study extends the existing debate on the relationship between macroeconomic variables and stock market liquidity to the emerging equity market. For this, it uses three proxies for stock market liquidity: Amihud liquidity, average trading volume, and trading volume average.

2021 ◽  
Vol 7 (3) ◽  
pp. 737-749
Author(s):  
Muhammad Husnain ◽  
Aijaz Mustafa Hashmi ◽  
Mumtaz Ahmad

Purpose: This research examines the impact of oil prices, exchange rate, stock market index, market volatility and inflation on the stock market liquidity. Design/Methodology/Approach: The sample period is 20 years from 2000 to 2019 on monthly basis. We employ the auto-regressive distributed lag (ARDL) approach for analyzing long run and short run nature of relationship among variables. We also apply diagnostics including, normality check, serial correlation test, heteroscedasticity test and CUSM models for the stability of the models.  Findings: We finds that exchange rate and inflation have a long-term negative relationship, but oil prices, stock returns, and stock market volatility have a long-term positive relationship with stock market liquidity. Furthermore, these findings are robust under three different proxies of stock market liquidity for three sectors: text composite, textile weaving, and textile spinning. Implications/Originality/Value: This study extend the existing debate on the relationship between macroeconomic variables and stock market liquidity in developed world to the emerging equity market. It also contributes by examining the impact of macroeconomic variables on the sectorial levels in equity market by using three proxies for stock market liquidity including, Amihud liquidity, average trading and trading volume.


2019 ◽  
Vol 46 (5) ◽  
pp. 1028-1051 ◽  
Author(s):  
Sijia Zhang ◽  
Andros Gregoriou

Purpose The purpose of this paper is to examine stock market reactions and liquidity effects following the first bank loan announcement of zero-leverage firms. Design/methodology/approach The authors use an event studies methodology in both a univariate and multivariate framework. The authors also use regression analysis. Findings Using a sample of 96 zero-leverage firms listed on the FTSE 350 index over the time period of 2000–2015, the authors find evidence of a significant and permanent stock price increase as a result of the initial debt announcement. The loan announcement results in a sustained increase in trading volume and liquidity. This improvement continues to persist once the authors control for stock price and trading volume effects in both the short and long run. Furthermore, the authors examine the spread decomposition around the same period, and discover the adverse selection of the bid–ask spread is significantly related to the initial bank loan announcement. Research limitations/implications The results can be attributed to the information cost/liquidity hypothesis, suggesting that investors demand a lower premium for trading stocks with more available information. Originality/value This is the first paper to look at multiple industries, more than one loan and information asymmetry effects.


2020 ◽  
Vol 11 (6) ◽  
pp. 1
Author(s):  
Salem Alshihab ◽  
Nayef AlShammari

This paper examines the impact of fluctuations in the price of oil on Kuwaiti stock market returns for the month-to-month period of 2000 to 2020. The Augmented Dickey-Fuller (ADF) test for stationarity, the error correction model (ECM), and various cointegration test techniques were used to examine the estimated model. In an oil-based economy like Kuwait, the exposure to oil prices seems to affect the performance of the country’s stock market. Our main findings related to the long run showed that the price of oil is cointegrated with stock market returns. Interestingly, our ECM examination confirmed that changes in Kuwaiti stock market returns are only affected by oil price fluctuations in the short run. Further strategies are needed to better stabilize Kuwait’s capital market. This equilibrium can be achieved by pursuing more stability in other macroeconomic factors and providing a solid legal independence for the country’s financial market.


2020 ◽  
Vol 42 ◽  
pp. 99-117
Author(s):  
Idowu Daniel Onisanwa ◽  
◽  
Mercy Ojochegbe Adaji ◽  
◽  

Aim/purpose – The poor investment climate is one of the reasons advanced for the slow pace of growth in Nigeria; evidenced by the absence or inadequate amount of investible funds in the productive sectors. While the money market in Nigeria provides very limited investment options, the underdevelopment and underutilisation of the Nigerian Stock Market constitute a drawback to the investment climate. However, any economy desiring sustainable development requires a long-term source of fund. Therefore, this study ascertains the perfor-mance of the stock market and investment growth nexus in Nigeria.Design/methodology/approach – The study is based on the neoclassical growth theory with a slight modification in the wake of Levine’s specification (2003), an augmented investment growth relationship was specified. This study utilises the Autoregressive Distributed Lag (ARDL) in establishing the co-integration relation between stock market development and investment growth. Gross capital formation was used as a proxy for investment growth while the stock market indicators are market capitalisation ratio, total value traded ratio and turnover ratio. The study utilises data covering 1981 to 2018, sourced from the Nigerian Stock Exchange annual reports and diverse publication of the Nigerian Bureau of Statistics.Findings – The market capitalisation ratio had a negative impact on gross capital for-mation both in the short run and the long run, but its significance is only evident in the short run. The turnover ratio had a negative and significant impact on investment growth. The total value traded ratio exerted a positive and significant impact on gross capital formation both in the short run and the long run. The coefficient of the error cor-rection term was negative and statistically significant. Research implications/limitations – The total value traded ratio enhanced investment growth in Nigeria. Both market capitalisation and turnover ratio dampen investment growth. The Stock Exchange is not efficient and does not possess the amount of liquidity required to finance long term investment need in Nigeria. Emphasis on measures geared towards increasing efficiency and liquidity should be intensified by the government. Mean-while, the sectorial analysis of the impact of stock exchange movements in Nigeria and the use of other estimation techniques may create room for more robust relationships.Originality/value/contribution – The study directly investigates the capability of the Nigerian stock market in driving investment, both in the short and long run.


2020 ◽  
Vol 11 (2) ◽  
pp. 154
Author(s):  
Amar Singh ◽  
Arvind Mohan

Foreign investment is a major factor to determine volatility in the stock market. To discover the influence on Stock Market volatility of foreign investment we have considered FE, FD, and FDI as proxy variables of foreign investment and Indian stock market volatility is represented by Indian vix. The period for this study is 2009 to 2017 (monthly data).  To address this issue of volatility in the long/short-run we have applied the ARDL. The preference given to the ARDL model over Johansen co-integration is to the difference in the order of integration among the variables. ARDL model allows us to combine the I(0) and I(1) series whereas I(1) required in the case of Johansen approach. Results of unit root confirm the I(0)/I(1) order of integration, which allows us to apply the ADRL bound test. F-statistics is higher than the upper bound critical value at 10%, 5% and providing the evidence of co-integration among variables at a 5% level of significance. Hence, there is a long-run relationship amid the variables. Long-run form results show the negative sign of the coefficient and it is significant. The ECM value is (-0.9671) and it confirms that nearly 96.71 % of the inaccuracy rose in each period and automatically corrected in specified time period.


2014 ◽  
Vol 40 (2) ◽  
pp. 200-215 ◽  
Author(s):  
Tarak Nath Sahu ◽  
Kalpataru Bandopadhyay ◽  
Debasish Mondal

Purpose – This study aims to investigate the dynamic relationships between oil price shocks and Indian stock market. Design/methodology/approach – The study used daily data for the period starting from January 2001 to March 2013. In this study, Johansen's cointegration test, vector error correction model (VECM), Granger causality test, impulse response functions (IRFs) and variance decompositions (VDCs) test have been applied to exhibit the long-run and short-run relationship between them. Findings – The cointegration result indicates the existence of long-term relationship. Further, the error correction term of VECM shows a long-run causality moves from Indian stock market to oil price but not the vice versa. The results of the Granger causality test under the VECM framework confirm that no short-run causality between the variables exists. The VDCs analysis revealed that the Indian stock markets and crude oil prices are strongly exogenous. Finally, from the IRFs, analysis revealed that a positive shock in oil price has a small but persistence and growing positive impact on Indian stock markets in short run. Originality/value – The study would enhance the understandings of the interaction between oil price volatilities and emerging stock market performances. Further, the study would enable foreign investors who are interested in Indian stock market helps in understanding the conditional relationship between the variables.


Author(s):  
Huynh Viet Khai ◽  
Le Minh Sang ◽  
Phan Thi Anh Nguyet

This chapter covers a study that was conducted to find out the impact of crude oil prices on the Vietnam stock market in the period from March 2006 to June 2015 by using the autoregressive-distributed lag (ARDL) model with dummy variables of the economic crisis. The results revealed that the crude oil prices had positive impacts on VN-Index and HNX-Index in short-run, but negatively in long-run. In addition, the study also found that the economic crisis has affected the relationship between the crude oil prices and the stock market index in the short-run. During the crisis period, the crude oil prices related to the VN-Index and HNX-index more closely than the other stages. However, in the long-run the relationship between oil prices and stock market index was not affected by the economic crisis.


2018 ◽  
Vol 10 (12) ◽  
pp. 104
Author(s):  
Sophee Sulong ◽  
Qasim Saleem ◽  
Zeeshan Ahmed

The study aims to examine the role of stock market development in influencing the performance of non financial firms listed on Pakistan Stock Exchange from 2001 to 2017. Stock market development is a foremost issue of debate nowadays in emerging and developing economies. The theories and empirical studies strongly refer that stock market development is a tool to mobilize the savings and investment to promote the industrialization and firms performance. This study is an effort to establish the empirical relationship between stock market development and firm’s performance. Three indicators of stock market development like stock market volatility,stock market liquidity and stock market liquidity are used for assessing the book and market performance of firms. For this purpose two-step system Generalized Method of Moments (GMM) estimator was employed in a dynamic panel model for empirical testing of hypothesis. The findings indicates that stock market volatility is a significant factor which which attempts to decrease the firm performance. On the other hand, stock market capitalization and stock market liquidity significantly causes the increase in firm firm performance.


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