Effects of Crude Oil and Gold Prices on US Stock Market: Evidence for USA from ARDL Bounds Testing

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
AKM Matiur Rahman ◽  
Muhammad Mustafa
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Bounds Testing ◽  
Negative Effects ◽  
Price Changes ◽  
Stock Market Returns ◽  
Crude Oil Prices ◽  
Long Run ◽  
Ardl Bounds Testing ◽  
Short Run

<p>This paper explores the effects of changes in crude oil and gold prices on US Stock market movement. Daily data are used from the first business day of January, 1986 through December30, 2016. Efficient unit root tests (DF-GLS and Ng-Perron) are applied to examine the time series property of the variables in terms of stationarity or non-stationarity.  ARDL Bounds Testing is applied for co-integration. Both DF-GLS and Ng-Perron tests confirm non-stationarity of each variable and depict I (1) behavior of all the variables in log-levels, included in this study. The ARDL-Bounds testing confirm co-integration among the variables. There is evidence of long-run convergence among all these variables with very tepid adjustment toward the equilibrium. Short-run negative effects of changes in gold and crude oil prices on US stock market returns are observed. The effect is statistically significant from gold price changes, but insignificant from crude oil price changes.</p>

Effects of Crude Oil and Gold Prices on US Stock Market: Evidence for USA from ARDL Bounds Testing

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
AKM Matiur Rahman ◽  
Muhammad Mustafa
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Bounds Testing ◽  
Negative Effects ◽  
Price Changes ◽  
Stock Market Returns ◽  
Crude Oil Prices ◽  
Long Run ◽  
Ardl Bounds Testing ◽  
Short Run

<p>This paper explores the effects of changes in crude oil and gold prices on US Stock market movement. Daily data are used from the first business day of January, 1986 through December30, 2016. Efficient unit root tests (DF-GLS and Ng-Perron) are applied to examine the time series property of the variables in terms of stationarity or non-stationarity.  ARDL Bounds Testing is applied for co-integration. Both DF-GLS and Ng-Perron tests confirm non-stationarity of each variable and depict I (1) behavior of all the variables in log-levels, included in this study. The ARDL-Bounds testing confirm co-integration among the variables. There is evidence of long-run convergence among all these variables with very tepid adjustment toward the equilibrium. Short-run negative effects of changes in gold and crude oil prices on US stock market returns are observed. The effect is statistically significant from gold price changes, but insignificant from crude oil price changes.</p>

Analyzing the Impact of Oil Price Fluctuations on Vietnam Stock Market

2018 ◽  
pp. 229-245
Author(s):  
Huynh Viet Khai ◽  
Le Minh Sang ◽  
Phan Thi Anh Nguyet
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Economic Crisis ◽  
Oil Prices ◽  
Stock Market Index ◽  
Market Index ◽  
Crude Oil Prices ◽  
Long Run ◽  
Short Run ◽  
The Impact

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.

scholarly journals Effects of Exchange Rate and Inflation Rate on Stock Market Returns Volatility in India.

2020 ◽  
Author(s):  
Nenavath Sre ◽  
Suresh Naik
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Error Correction ◽  
Inflation Rate ◽  
Market Returns ◽  
Stock Market Returns ◽  
Positive Effects ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

Abstract The paper investigates the effect of exchange and inflation rate on stock market returns in India. The study uses monthly, quarterly and annual inflation and exchange rate data obtained from the RBI and market returns computed from the Indian share market index from January, 2000 to June, 2020.The paper uses the autoregressive distributed lag (ARDL) co-integration technique and the error correction parametization of the ARDL model for investigating the effect on Indian Stock markets. The GARCH and its corresponding Error Correction Model (ECM) were used to explore the long- and short-run relationship between the India Stock market returns, inflation, and exchange rate. The paper shows that there exists a long term relationship but there is no short-run relationship between Indian market returns and inflation. But, there is periodicity of inflation monthly considerable long run and short-run relationship between them existed. The outcome also illustrates a significant short-run relationship between NSE market returns and exchange rate. The variables were tested for short run and it was significantly shown the positive effects on the stock market returns and making it a desirable attribute of which investors can take advantage of. This is due to the establishment of long-run effect of inflation and exchange rate on stock market returns.

scholarly journals The Dynamic Relationship between Crude Oil Prices and Stock Market Price Volatility in Nigeria: A Cointegrated VAR-GARCH Model

2019 ◽  
pp. 1-12
Author(s):  
David Adugh Kuhe
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Market Price ◽  
Garch Model ◽  
Price Volatility ◽  
Oil Prices ◽  
Market Prices ◽  
Dynamic Relationship ◽  
Crude Oil Prices ◽  
Long Run

This study investigates the dynamic relationship between crude oil prices and stock market price volatility in Nigeria using cointegrated Vector Generalized Autoregressive conditional Heteroskedasticity (VAR-GARCH) model. The study utilizes monthly data on the study variables from January 2006 to April 2017 and employs Dickey-Fuller Generalized least squares unit root test, simple linear regression model, unrestricted vector autoregressive model, Granger causality test and standard GARCH model as methods of analysis. Results shows that the study variables are integrated of order one, no long-run stable relationship was found to exist between crude oil prices and stock market prices in Nigeria. Both crude oil prices and stock market prices were found to have positive and significant impact on each other indicating that an increase in crude oil prices will increase stock market prices and vice versa. Both crude oil prices and stock market prices were found to have predictive information on one another in the long-run. A one-way causality ran from crude oil prices to stock market prices suggesting that crude oil prices determine stock prices and are a driven force in Nigerian stock market. Results of GARCH (1,1) models show high persistence of shocks in the conditional variance of both returns. The conditional volatility of stock market price log return was found to be stable and predictable while that of crude oil price log return was found to be unstable and unpredictable, although a dependable and dynamic relationship between crude oil prices and stock market prices was found to exist. The study provides some policy recommendations.

Stock Market Responses to Monetary and Fiscal Policies

2022 ◽  
pp. 266-282
Author(s):  
Elif Erer ◽  
Deniz Erer
Keyword(s):  
Stock Market ◽  
Fiscal Policies ◽  
Market Returns ◽  
Monetary Policies ◽  
Stock Market Returns ◽  
Long Run ◽  
Stock Market Performance ◽  
Short Run ◽  
Effect Hypothesis ◽  
Positive Effect

This study analyzes the short-run and long-run effects of interaction between fiscal and monetary policies on stock market performance in four emerging Asian economies, which are China, India, Indonesia, and Malaysia, by using ARDL model. The study covers the period of 2003:Q1-2020:Q1. The findings from this study show monetary and fiscal policies play an important role in determining stock market returns. Also, the results theoretically support Richardian neutrality hypothesis for China and Indonesia, Keynesian positive effect hypothesis for India, and classical crowding out effect hypothesis for Malaysia, and interest channel of monetary transmission mechanism only for China.

scholarly journals Effects of Interest Rate on Stock Market Returns in Kenya

2017 ◽  
Vol 9 (8) ◽  
pp. 40
Author(s):  
Donald A. Otieno ◽  
Rose W. Ngugi ◽  
Nelson H. W. Wawire
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Granger Causality ◽  
Moving Average ◽  
Market Returns ◽  
Treasury Bills ◽  
Stock Market Returns ◽  
Long Run ◽  
Lending Rate ◽  
Short Run

Debate on the stochastic behaviour of stock market returns, 3-month Treasury Bills rate, lending rate and their cointegrating residuals remains unsettled. This study examines the stochastic properties of the macroeconomic variables, stock market returns and their cointegrating residuals using an Autoregressive Fractionally Integrated Moving Average (ARFIMA) model. It also investigates Granger causality between the two measures of interest rate and stock market returns. The study uses monthly data from 1st January 1993 to 31st December 2015. The results indicate that the 3-month Treasury Bills rate, lending rate and stock market returns are fractionally integrated which implies that shocks to the variables persist but eventually disappear. The results also reveal that the cointegrating residuals are fractionally integrated which suggests that a new and harmful long-run equilibrium might be established when each of the measures of interest rate is driven away from stock market returns. Additionally, the results indicate that the 3-month Treasury Bills rate and lending rate negatively Granger cause stock market returns in the long run. This suggests that stocks and Treasury Bills are competing investment assets. On the other hand, ARFIMA-based Granger causality reveals that stock market returns lead the 3-month Treasury Bills rate and lending rate with a negative sign in the short run. This implies that a prosperous stock market results into a favorable macroeconomic environment. A key contribution of this study is that it is the first to empirically examine fractional cointegration and ARFIMA-based Granger Causality between interest rate and stock market returns in Kenya.

Research publications and economic growth in South Africa: an empirical investigation

2016 ◽  
Vol 43 (7) ◽  
pp. 662-675
Author(s):  
Nicholas M Odhiambo ◽  
Lydia Ntenga
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Causal Relationship ◽  
Series Data ◽  
Bounds Testing ◽  
Content Type ◽  
Research Publications ◽  
Long Run ◽  
Ardl Bounds Testing ◽  
Short Run

Purpose – The purpose of this paper is to examine the causal relationship between research publications and economic growth – using time-series data from South Africa. The paper attempts to answer two critical questions: is there a long-run relationship between research publications and economic growth in South Africa? Do research publications from South African researchers Granger-cause economic growth? Design/methodology/approach – Unlike some of the previous studies, the current paper uses a trivariate ECM-based Granger-causality model to examine this linkage. Specifically, the study incorporates education as an intermittent variable between research and economic growth. In addition, the paper uses the recently developed autoregressive distributed lag (ARDL)-bounds testing procedure, which has numerous advantages, especially when the sample size is small. Findings – The results of this study show that there is a long-run relationship between research publications and economic growth in South Africa. The results also show that there is a distinct causal flow from research publications to economic growth in South Africa. This applies both in the short-run and in the long-run. Other results also show that: there is a short-run bidirectional causality between research publications and education; and there is a short-run bi-directional causality between education and economic growth, but a long-run unidirectional causal flow from education to economic growth. Practical implications – The findings of this paper underscore the crucial role that research plays in economic growth and development. Overall, the findings of this study show that research in South Africa is pro-growth. This implies that the recent significant increase in government expenditure on research and innovation, which is aimed at increasing the country’s scientific research outputs, is likely to pay off. Originality/value – To the best of the authors’ knowledge, this paper is the first of its kind to examine in detail the dynamic causal relationship between research outputs and economic growth in South Africa – using the recently developed ARDL-bounds testing approach within a trivariate setting.

scholarly journals An Empirical Analysis of Financial Sector Development and Savings Mobilization in Nigeria: ECM Analysis

2019 ◽  
pp. 1-11
Author(s):  
Ikubor Ofili Jude
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Oil Prices ◽  
Financial Sector ◽  
The Other ◽  
Domestic Saving ◽  
Financial Sector Development ◽  
Crude Oil Prices ◽  
Domestic Savings ◽  
Short Run

This study employs Error Correction Model (ECM) and Co-integration analysis to study the relationship between financial sector development and savings mobilization in Nigeria 1986 to 2017. As expected from a developing country like Nigeria, a short-run positive relationship is observed between the Nigerian stock market and crude oil prices and the direction is from crude oil prices to the Nigerian stock market but not the other way round. The short run, interest rate earning has a positive and significant impact on domestic savings while the other variables have no significant impact domestic savings in Nigeria. Government should therefore consolidate on past financial sector reforms to improve domestic saving mobilization to reduce the dependence of Nigeria on foreign savings to finance domestic investment.

scholarly journals Are Kuwaiti Stock Returns Affected by Fluctuations in Oil Prices?

2020 ◽  
Vol 11 (6) ◽  
pp. 1
Author(s):  
Salem Alshihab ◽  
Nayef AlShammari
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Oil Prices ◽  
Market Returns ◽  
Macroeconomic Factors ◽  
Stock Market Returns ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Adf Test

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.

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