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Long-Run and Short-Run Relationship Between Macroeconomic Factors and Returns on Sectoral Indices in Saudi Arabia

Long-Run and Short-Run Relationship Between Macroeconomic Factors and Returns on Sectoral Indices in Saudi Arabia
Author: Lakshmi Kalyanaraman
Publisher:
Total Pages: 12
Release: 2015
Genre:
ISBN:

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The study analyses the relationship between the select macroeconomic variables, inflation, industrial production, money supply, exchange rate, oil prices and global stock prices on the returns of the 15 sectors listed on Saudi stock market. The study applies cointegration technique and finds that there exists at least one cointegration vector between the chosen macroeconomic variables and the sector indices. Error correction model and Wald test to check the long-run and short-run causality relationship between the macroeconomic variables and sectoral stock indices. Results show that the effect of the macroeconomic variables on the returns of the various sectors is varied. The speed of adjustment of the system in case of short run deviations from the long run equilibrium is also found to be different for the various sectors. This study offers important inputs for investment decision making for the investors in the specific sectors of the Saudi stock market.


Can Macroeconomic Variables Explain Long Term Movements of Stock Market Sector Indices?

Can Macroeconomic Variables Explain Long Term Movements of Stock Market Sector Indices?
Author: Erfan Mahmood Bhuiyan
Publisher:
Total Pages: 0
Release: 2018
Genre:
ISBN:

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While the relationship between stock market returns and macro-economic variables has been amply examined, a gap exists in the literature regarding the relationship between different sector indices and various macroeconomic variables. This study intends to examine how certain macroeconomic variables influence different sectors of the stock market differently in the US and Canada. Using monthly data over the period 2000 – 2018, cointegration analysis is applied to model the relationship between real economic activity, money supply, long-term interest rate and different sector indices. Sectors that have been examined in this study include energy, financials, real estate, industrial, healthcare, consumer discretionary, consumer staples, materials, utilities and technology. Results suggest that there is a stable long-term relationship between the macroeconomic variables used in the study and different sector indices for the US but not for Canada. However, US money supply and interest rate can explain the Canadian Stock Market.


Macroeconomic Forces and Stock Prices

Macroeconomic Forces and Stock Prices
Author: Lakshmi Kalyanaraman
Publisher:
Total Pages: 12
Release: 2014
Genre:
ISBN:

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This paper examines if there exists a long run relationship among five macroeconomic variables, consumer price index, industrial output, money supply, exchange rate, oil prices along with the global stock prices proxy Standard and Poor 500 index and Saudi all share stock index. Time series analysis is applied using monthly data from January 1994 to June 2013. Application of Johansen cointegration test finds the existence of a long run relationship among the chosen variables. All macroeconomic variables are found to impact stock prices. Standard and Poor 500 index does not affect Saudi stock prices. Vector error correction model shows the presence of long run causality from the explanatory variables to the stock prices. Short run causality test finds a two-way causality between stock prices and oil prices. Impulse response function shows that industrial production shocks pushes up stock prices while consumer price index shocks pulls it down. Variance decompositions show that historical stock prices are the major driver of Saudi stock prices. This implies that Saudi stock market follows weak form of market efficiency. The results of this paper have important implications for the investors in Saudi stock market.


Macroeconomic Determinants of the Stock Market Movements

Macroeconomic Determinants of the Stock Market Movements
Author: Mofleh Ali Mofleh Alshogeathri
Publisher:
Total Pages:
Release: 2011
Genre:
ISBN:

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This dissertation investigates the long run and short run relationships between Saudi stock market returns and eight macroeconomic variables. We investigate the ability of these variables to predict the level and volatility of Saudi stock market returns. A wide range of Vector autoregression (VAR) and generalized autoregressive conditional heteroskedasticity (GARCH) models estimated and interpreted. A Johansen-Juselius cointegration test indicates a positive long run relationship between the Saudi stock price index and the M2 money supply, bank credit, and the price of oil, and a negative long run relationship with the M1 money supply, the short term interest rate, inflation, and the U.S. stock market. An estimated vector error correction model (VECM) suggests significant unidirectional short run causal relationships between Saudi stock market returns and the money supply and inflation. The VECM also finds a significant long run causal relationship among the macroeconomic variables in the system. The estimated speed of adjustment indicates that the Saudi stock market converges to the equilibrium within half a year. Granger causality tests show no causal relationship between Saudi stock market returns and the exchange rate. Impulse response function analysis shows no significant relationship between Saudi stock market returns and the macroeconomic variables. Forecast error variance decompositions suggest that 89% of the variation in Saudi stock market returns is attributable to its own shock, which implies that Saudi stock market returns are largely independent of the macroeconomic variables in the system. Finally, a GARCH-X model indicates a significant relationship between volatility of Saudi stock returns and short run movements of macroeconomic variables. Implications of this study include the following. (i) Prediction of stock market returns becomes more difficult as the volatility of the macroeconomic variables increases in the short run. (ii) Investors should look at the systematic risks revealed by these macroeconomic variables when structuring their portfolios and diversification strategies. (iii) Policymakers should seek to minimize macroeconomic fluctuations considering the effect of macroeconomic variables changes on the stock market when formulating economic policy.


Macroeconomic Environment Effects on Demand for Insurance in Saudi Arabia

Macroeconomic Environment Effects on Demand for Insurance in Saudi Arabia
Author: Dr. Jumah Ahmad Alzyadat
Publisher:
Total Pages: 0
Release: 2020
Genre:
ISBN:

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The study aimed to measure and analyze the most important macroeconomic factors determining the demand for insurance in Saudi Arabia. The study used VAR (Vector Autoregression), Impulse Response Function, Granger Causality test, and Variance Decomposition. The results showed that demand for insurance in KSA responds to changes in macroeconomic variables in the long run and short run, Granger Causality test results indicate a unidirectional causal relationship between (GDP, per capita income, and government expenditures on social security) and the demand for insurance in KSA. The results showed that there is a bidirectional causal relationship between financial development and the demand for insurance. Moreover, there is no causal relationship between inflation and the demand for insurance. GDP as an indicator of economic activities has a positive and strong impact on the demand for insurance in KSA. Per capita income as a measure of income, money supply, and government expenditures on social security, all these variables had a positive effect on the demand for insurance. And there is no evidence that inflation rate has a significant effect on demand for insurance in long run.


A Macroeconometric Model for Saudi Arabia

A Macroeconometric Model for Saudi Arabia
Author: Fakhri J. Hasanov
Publisher: Springer Nature
Total Pages: 176
Release: 2023-01-01
Genre: Business & Economics
ISBN: 3031122755

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This Open Access Brief presents the KAPSARC Global Energy Macroeconometric Model (KGEMM). KGEMM is a policy analysis tool for examining the impacts of domestic policy measures and global economic and energy shocks on the Kingdom of Saudi Arabia. The model has eight blocks (real sector, fiscal, monetary, external sector, price, labor and wages, energy, population, and age cohorts) that interact with each other to represent the Kingdom’s macroeconomy and energy linkages. It captures New Keynesian demand-side features anchored to medium-run equilibrium and long-run aggregate supply. It applies a cointegration and equilibrium correction modeling (ECM) methodology to time series data to estimate the model’s behavioral equations in the framework of Autometrics, a general-to-specific econometric modeling strategy. Hence, the model combines ‘theory-driven’ approach with ‘data-driven’ approach. The Brief begins with an introduction to the theoretical framework of the model and the KGEMM methodology and then walks the reader through the structure of the model and its behavioral equations. The book closes with simulations showing the application of the model. Providing a detailed introduction to a cutting-edge, robust predictive model, this Brief will be of great use to researchers and policymakers interested in macroeconomics, energy economics, econometrics, and more specifically, the economy of Saudi Arabia.


The Macroeconomic Variables and Stock Returns

The Macroeconomic Variables and Stock Returns
Author: NADEEM. HUSSAIN SOHAIL (ZAKIR.)
Publisher: LAP Lambert Academic Publishing
Total Pages: 0
Release: 2012-05-08
Genre:
ISBN: 9783659113185

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The study explores long run and short run effects of macroeconomic variables i.e. consumer price index, industrial production, real effective exchange rate, money supply, and three months treasury bills rate on four stock indices i.e. KSE100 index, General index, LSE25 index, and ISE10 index relating three stock exchanges namely Karachi Stock Exchange, Lahore Stock Exchange, and Islamabad Stock Exchange in Pakistan. In order to study the long run and short run relationships Johansen cointegation technique and VECM was applied. The results showed that industrial production has long run positive impact on stock returns in all three markets. Exchange rate was positively affecting all indices except ISE10 index. Inflation was positively related with stock returns at Karachi Stock market, while it was negatively related with rest of the two markets. The money supply affected stock returns negatively, while treasury bills rate had mixed effect. The VECM analysis depicted that it takes more than four months, nine months, five months, and two months for the adjustment of disequilibrium of the previous period in case of KSE100 index, General Index, LSE25 index and ISE10 index respectively.


Explaining the Stock Return Via a Macroeconomic Multi-Factor Model

Explaining the Stock Return Via a Macroeconomic Multi-Factor Model
Author: Hussein Salameh
Publisher:
Total Pages:
Release: 2019
Genre:
ISBN:

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This paper investigated the relationship between economic variables and stock returns in the industrial sector in Jordan. The study is conducted at monthly intervals over the six-and-half years period from July 1997 to 2003 using a value weighted average returns. Four variables were examined; Industrial production, expected inflation, unanticipated inflation and term structure. The evidence suggested that only two variables do really affect the stock return when considering the returns without its dividends, which are the expected inflation and the unanticipated inflation; while only one variable affects the stock returns when taking the dividends into consideration; this is the unanticipated inflation.In addition, this study examined if there is a long-run relationship or a short-run relationship between the unanticipated inflation and stock returns. The results showed that there is a long-run relationship between the two variables but there is no short-run relationship between them.


Impact of Macroeconomic Variables on Stock Market in India

Impact of Macroeconomic Variables on Stock Market in India
Author: Sanjay Kumar Das
Publisher: LAP Lambert Academic Publishing
Total Pages: 160
Release: 2021-01-25
Genre:
ISBN: 9783659534799

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Stock market returns depend on the changes in the stock market index. In India, S&P BSE Sensex is considered as the pulse of the stock market. S&P BSE Sensex is the sensitive index of Bombay Stock Exchange (BSE), which is a value- weighted index, composed of 30 largest and most actively traded stocks. There have been limited studies on the linkage between the macro economy and stock prices in India. The purpose of this study is to investigate this linkage between macroeconomic variables and stock market returns with reference to S&P BSE Sensex as well as the linkage between macroeconomic variables and S&P BSE sectoral indices. The study also investigates the linkage between exchange rate and volatility of S&P BSE Sensex Returns.


Causality Among Stock Market and Macroeconomic Factors

Causality Among Stock Market and Macroeconomic Factors
Author: Muhammad Hanif
Publisher:
Total Pages: 23
Release: 2019
Genre:
ISBN:

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A recent development in financial markets is the creation of Shari'ah compliant stock universes. Shari'ah compliant stock universe is featured as socially responsible investments, less levered, and more reflective of the real sector. This study is conducted to understand and document the short-run equilibrium among important macroeconomic indicators and Equity indexes--Islamic and conventional--in the post-Shari'ah-screening era in Pakistan. Comparative study of linkages among stock indexes and macroeconomic variables is of great interest to i) identify the important macroeconomic factors; and ii) document whether Shari'ah screening of stocks has created any difference (in macro risk factors). We have included eight macroeconomic variables to study integration with stocks for 64 Months' period (07/2011-10/2016). Evidence has been obtained by application of correlation, unit root, OLS-regression and Granger causality tests. Findings suggest that both markets--Islamic & conventional--are integrated with selected macroeconomic indicators. However, evidence lacks the integration of markets themselves. We identify a set of two variables from real economy--exports and workers' remittances--linked with both markets, while the third variable is different for Islamic (industrial production) and conventional (money supply) markets. Important monetary variables--interest rate and inflation--have shown an insignificant association. Movements of Islamic index are in-line with the theory i.e. disassociation from interest and reflection of the real economy. Movements of conventional index cover both real and monetary sectors.KAUJIE Classification: L4.