scholarly journals Impact of Stock Market-specific and Macro-economic Variables on Stock Return

2019 ◽  
Vol 3 (1) ◽  
pp. 56-66
Author(s):  
Shiba Prasad Sapkota
Keyword(s):  
Regression Analysis ◽  
Stock Market ◽  
Stock Return ◽  
Trade Openness ◽  
Important Variable ◽  
Economic Variables ◽  
Long Run ◽  
Behavioral Aspects ◽  
Short Run ◽  
The Impact

The study was aimed to examine the impact of stock market-specific variables and macro-economic variables on stock return. It has analyzed the data of 25 countries for a period of 22 years from 1995 to 2016. The major three tests; regression analysis, co-integration analysis, and causality have been examined. The results have shown from the evidence of regression analysis and causality that the impact of the stock market-specific and macro-economic variables have been varied as per the different situation and country. Whereas, the impact of stock market-specific and macro-economic variables have been found to be consistent in the long run. Therefore, the conclusion was drawn that in the long run the relationship between stock return and stock market-specific, as well as macro-economic variables can be generalized but in the short run better not to generalize. The findings have shown that stock market-specific variables have better explaining and predicting power than macro-economic variables. In the case of stock market-specific variables, size and stock traded turnover ratio have found equally important to understand the behavior of sock return. In the case of macro-economic variables, GDPGR has found the most important variable followed by money supply, exchange rate, interest rate, trade openness, and inflation rate respectively. Finally, it has been concluded that the behavioral aspects of the investors have been missing. So, the financial theories incorporating the behavioral aspects would explain and predict better rather than economic physiognomy only.

scholarly journals Bank Versus Stock Market Development in Brazil: An ARDL Bounds Testing Approach

2017 ◽  
Vol 12 (1) ◽  
pp. 7-21 ◽  
Author(s):  
Sheilla Nyasha ◽  
Nicholas M. Odhiambo
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Stock Market ◽  
Financial Development ◽  
Banking Sector ◽  
Bounds Testing ◽  
Stock Market Development ◽  
Long Run ◽  
Short Run ◽  
The Impact

AbstractThis paper examines the impact of both bank-based and market-based financial development on economic growth in Brazil during the period from 1980 to 2012. To incorporate all of the aspects of financial development into the regression analysis, the study employs a method of means-removed average to construct both bank-based and market-based financial development indices. Based on the ARDL approach, the empirical results show that there is a positive relationship between market-based financial development and economic growth in Brazil in the long run, but not in the short run. The results also show that bank-based financial development in Brazil does not have a positive effect on economic growth. This applies irrespective of whether the regression analysis is conducted in the short run, or in the long run. The study, therefore, concludes that it is the stock market, rather than banking sector development, that drives long-run economic growth in Brazil.

The Impact of Monetary and Fiscal Policies on the Stock Market in the United States (U.S); Evidence from Linear ARDL Framework

2020 ◽  
Vol 11 (1) ◽  
pp. 132-132
Author(s):  
Aref Emamian
Keyword(s):  
United States ◽  
Stock Market ◽  
The United States ◽  
Real Effective Exchange Rate ◽  
Annual Data ◽  
Fiscal Policies ◽  
Long Run ◽  
The Us ◽  
Short Run ◽  
The Impact

This study examines the impact of monetary and fiscal policies on the stock market in the United States (US), were used. By employing the method of Autoregressive Distributed Lags (ARDL) developed by Pesaran et al. (2001). Annual data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, the results show that both policies play a significant role in the stock market. We find a significant positive effect of real Gross Domestic Product and the interest rate on the US stock market in the long run and significant negative relationship effect of Consumer Price Index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Keywords: ARDL, monetary policy, fiscal policy, stock market, United States

THE IMPACT OF RESEARCH AND DEVELOPMENT INVESTMENT ON AGRICULTURAL SECTOR PERFOMANCE IN KENYA

2017 ◽  
Vol 2 (1) ◽  
pp. 34-57
Author(s):  
John Githii Kimani ◽  
Dr. George Ruigu Ruigu
Keyword(s):  
Research And Development ◽  
Agricultural Sector ◽  
Research Policy ◽  
Trade Openness ◽  
Policy And Practice ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Parsimonious Model ◽  
The Impact

Purpose: The purpose of the study was to assess the impact of research and development investment/expenditure on the agricultural sector performance in Kenya.Methodology: The study took the peoples impact assessment direction. The data for this study was collected from various government agencies such as KARI, ASTI, Kenya Agricultural Sector Data compendium website, FAOSTAT, World Bank among others. Co-integration and error correction modeling methods were used in analyzing the data for this study.Results: Co-integration results for both the parsimonious and non-parsimonious model indicated that that there is a long-run relationship among the variables in the agriculture performance in Kenya. Further, findings in this study indicated that the variables under study were insignificant determinants of the long run Total Factor Productivity of the agricultural sector.  Meanwhile, Trade openness was the only significant determinant of the short run agricultural Total Factor Productivity.Unique Contribution to Policy and Practice: This study recommends the institutionalization of policies aimed at ensuring interaction between the various stakeholders in the agricultural sectors. This interaction will ensure that resources are better allocated to reduce duplication of research and dissemination activities. In addition, greater collaboration among the stakeholders will promote and strengthen the connection between research, policy and the application of research findings. The study further advocates that the government should follow a trade liberazation oriented approach to the agricultural sector as opposed to a trade tightening approach.

scholarly journals Relations and Emotions beyond the Boundaries in the Post Crisis Era – An Analysis of the Impact of Selected Variables on the Indian Stock Market

2018 ◽  
Vol 4 (8) ◽  
pp. 72
Author(s):  
Pooja Yadav ◽  
Nitin Huria
Keyword(s):  
Stock Market ◽  
Global Economy ◽  
Stock Index ◽  
Asia Pacific ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Short Run ◽  
Current Scenario ◽  
Indian Stock Market ◽  
The Impact

From a decade or so Indian continent has become the centre of attraction in the global economies. This changed outlook is due to the fact that India embraces vast availability of resources and opportunities which makes it the most vibrant global economy in the current scenario of worldwide sluggishness. On this path of growth and prosperity India is showing stiff commitments and competitive edges with developed as well as emerging countries. To be more specific, during this voyage in the Asia pacific region recently on one side India has seen stronger bonding with some of its old mates like Japan but on the other part it has faced strain like situation from its stronger competitor contender china on the same time. Hence, in this context the main aim of this paper is to examine the long run and short run equilibrium impacts of Japan and Chinese stock index as well as macroeconomic variables impact on Indian stock market. This paper finds the presence of both long and short run equilibrium impacts from China and Japan to India. In case of Japanese financial market (Nikki 225) has a trivial negative but significant long run impact whereas, the Chinese stock index (SSE composite) is operating at the short run with the same mild negative but significant impact on the Indian stock market. The results of the impact of macroeconomic variables find the existence of long run as well as short run equilibrium from some of the selected variables on Indian stock market.

A Sectoral Analysis of the Role of Stock Market Development on Economic Growth: Empirical Evidence from Indian Economy

2017 ◽  
Vol 18 (4) ◽  
pp. 911-923 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Trade Openness ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Short Run

The present study examines the relationship between Indian stock market and economic growth from a sectoral perspective using quarterly time-series data from 2003:Q4 to 2014:Q4. The results of the autoregressive distributed lag (ARDL) approach bounds test confirm the existence of a cointegrating relationship between sector-specific gross domestic product (GDP) and sector-specific stock indices. The empirical results reveal that sector-specific economic growth are significantly influenced by changes in the respective sector-specific stock price indices in the long run as well as in the short run. Apart from that, the control variables, such as trade openness and inflation, act as the instrument variables in explaining the variations in the sector-specific GDP of the economy. The results of Granger causality test demonstrate unidirectional long-run as well as short-run causality running from sector specific stock prices to respective sector GDP. The findings suggest that economic growth of the country is sensitive to respective sub-sector stock market investments. The findings highlight the reasons for cyclical and counter-cyclical business phase for the overall economy.

scholarly journals TRADE OPENNESS AND ECONOMIC GROWTH: EMPIRICAL EVIDENCE FROM INDIA

2014 ◽  
Vol 16 (1) ◽  
pp. 188-205 ◽  
Author(s):  
Qazi Muhammad Adnan Hye ◽  
Wee-Yeap Lau
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Granger Causality ◽  
Trade Openness ◽  
Granger Causality Test ◽  
Causality Test ◽  
Long Run ◽  
Rolling Window ◽  
Short Run ◽  
The Impact

The main objective of this study is to develop first time trade openness index and use this index to examine the link between trade openness and economic growth in case of India. This study employs a new endogenous growth model for theoretical support, auto-regressive distributive lag model and rolling window regression method in order to determine long run and short run association between trade openness and economic growth. Further granger causality test is used to determine the long run and short run causal direction. The results reveal that human capital and physical capital are positively related to economic growth in the long run. On the other hand, trade openness index negatively impacts on economic growth in the long run. The new evidence is provided by the rolling window regression results i.e. the impact of trade openness index on economic growth is not stable throughout the sample. In the short run trade openness index is positively related to economic growth. The result of granger causality test confirms the validity of trade openness-led growth and human capital-led growth hypothesis in the short run and long run.

scholarly journals Foreign Direct Investment and Trade Components in Context of Pakistan

2016 ◽  
Vol 12 (34) ◽  
pp. 384 ◽  
Author(s):  
Muhammad Akram Gilal ◽  
Khadim Hussain ◽  
Muhammad Ajmair ◽  
Sabahat Akram
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Trade Openness ◽  
Annual Data ◽  
Investment Liberalization ◽  
Long Run ◽  
Short Run ◽  
The Impact

Objective of this paper was to evaluate the impact of foreign direct investment (FDI) on trade components (exports and imports) of Pakistan using annual data from 1975 to 2013. Engle and Granger two step cointegration method was used for conducting the analysis. This method was adopted because all the variables of interest were non stationary in level and stationary at first difference. Results provide evidence of long run cointegrating relationship as well as short run relationship between FDI and trade components. A rise in FDI causes both exports and imports to increase. Based on these empirical findings, we strongly recommend Government of Pakistan to focus on the strategy of investment liberalization as well as trade openness.

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.

scholarly journals Repercussions of COVID-19 on the Indian stock market

2021 ◽  
Vol 5 (S1) ◽  
pp. 1495-1509
Author(s):  
Dhananjay Ashri ◽  
Bibhu Prasad Sahoo ◽  
Ankita Gulati ◽  
Irfan UL Haq
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Banking Sector ◽  
Oil And Gas ◽  
Negative Impact ◽  
Long Run ◽  
Short Run ◽  
Indian Stock Market ◽  
The Impact ◽  
Daily Returns

The present paper determines the repercussions of the coronavirus on the Indian financial markets by taking the eight sectoral indices into account. By taking the sectoral indices into account, the study deduces the impact of virus outbreak on the various sectoral indices of the Indian stock market. Employing Welch's t-test and Non-parametric Mann-Whitney U test, we empirically analysed the daily returns of eight sectoral indices: Nifty Auto, Nifty FMCG, Nifty IT, Nifty Media, Nifty Metal, Nifty Oil and Gas, Nifty Pharma, and Nifty Bank. The results unveiled that pandemic had a negative impact on the automobile, FMCG, pharmaceuticals, and oil and gas sectors in the short run. In the long run, automobile, oil and gas, metals, and the banking sector have suffered enormously. The results further unveiled that no selected indices underperformed the domestic average, except NIFTY Auto. 

scholarly journals An econometric analysis of the impact of democratisation on domestic savings and investment in Nigeria

2014 ◽  
Vol 9 (4) ◽  
pp. 478-497
Author(s):  
G Dinneya
Keyword(s):  
Economic Growth ◽  
Econometric Analysis ◽  
Domestic Investment ◽  
Empirical Relationships ◽  
Economic Variables ◽  
Long Run ◽  
Composite Indices ◽  
Domestic Savings ◽  
Short Run ◽  
The Impact

This study employs four-dimensional and one composite indices of democratization constructed to capture the democratization processes in Nigeria’s transition polity, to investigate the empirical relationships between the levels of democratization in Nigeria and two economic growth variables – domestic savings and domestic investment. As would be expected, the findings do not settle the debate in any direction. However, they could shed some light on the differences between the dimensional and the overall effects of democratization on economic variables.  The results of the analyses show that the short-run responses of growth variables to changes in democratization may differ from their long-run responses.

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