scholarly journals THE STUDY OF RELATIONSHIP BETWEEN TOBIN’S Q AND US STOCK PERFORMANCE OF SELECTED FIRMS

2020 ◽  
Vol 1 (2) ◽  
pp. 85-94
Author(s):  
Papiya Ghosh ◽  
Brishti Guha
Keyword(s):  
Stock Prices ◽  
Correction Term ◽  
Unit Roots ◽  
Annual Data ◽  
Upward Movement ◽  
Tobin’S Q ◽  
Tobin's Q ◽  
Long Run ◽  
Cointegration Tests ◽  
Short Run

The objective of study was to test the dynamic effects of changes in Tobin’Q on stock prices of selected 249 US public companies of different industry categories. Panel unit roots tests and cointegration tests are implemented. Next, DOLS and GMM models are estimated. Annual data for the 2004-2012 period are used for the above selected US companies. Panel unit root tests provide somewhat mixed evidence of non-stationarity of both variables. There is clear evidence of cointegration between the above variables. The negative coefficient of the error-correction term shows convergence toward long-run equilibrium, though at slow pace. The estimates also reveal shortrun net positive interactive feedback effects between the variables. Both DOLS and GMM estimates display similar picture of overvaluation of stocks in terms of upward movement in Tobin’s Q beyond 0-to-1 range. For most parts of the sample period, the US stock market was in declining mode due to heightening of economic uncertainties during the Great Recession and several years beyond. Tobin’s Q should be improved to boost stock prices. This is more of a long-run phenomenon. In the short run, both reinforce each other. The topic is unique and the existing literature on this topic is scant. Relatively new econometric techniques have been applied for estimation using panel data. The results are quite insightful, in our view.

scholarly journals Inflation and Economic Growth Paradox: A Co-integration Analysis in Nepal

2021 ◽  
Vol 2 (3) ◽  
pp. 1-12
Author(s):  
Uttam Lal Joshi
Keyword(s):  
Economic Growth ◽  
Error Correction ◽  
Correction Term ◽  
Unit Roots ◽  
Threshold Level ◽  
Long Run ◽  
Augmented Dickey Fuller ◽  
Short Run ◽  
Lag Model ◽  
Monetary And Fiscal Policy

The empirical study investigates the relationship between economic growth, inflation and broad money supply in Nepal. Data since 1965 to 2020 are taken from World Bank and Autoregressive Distributive Lag Model is used to find cointegration between the variables to show long run and short run dynamics. Augmented Dickey- Fuller and Philips- Perron tests are conducted to find the unit roots in the model. Result shows the error correction term is negative (-0.75) and significant (0.0043) where bounds test supports the long run cointegration and error correction model suggest the speed of adjustment. The estimated regression equation is found robust and stable (serial correlation and heteroskedacity tests).  The research shows inflation has short run and long run impact on economic growth so inflation should be kept within its threshold level from sound monetary and fiscal policy mechanism.

scholarly journals Testing the Validity of the Long Run Neutrality of Money in Nigeria

2021 ◽  
Vol 21 (2) ◽  
pp. 148-167
Author(s):  
Ephraim Ugwu ◽  
Christopher Ehinomen ◽  
Philip Nwosa ◽  
Olubunmi Efuntade
Keyword(s):  
Error Correction ◽  
Money Supply ◽  
Phillips Curve ◽  
Correction Term ◽  
Negative Sign ◽  
Fine Tuning ◽  
Annual Data ◽  
Long Run ◽  
Effect Model ◽  
Short Run

Abstract Research background: There is no consensus among scholars on the interaction effect between money supply, price, and wages despite various studies conducted to that effect. Purpose: This study investigates whether the neutrality of money assumption holds in the long run in Nigeria, using annual data from 1970 to 2018. Research methodology: The study utilized the Johansen cointegration test and the Vector Error Correction (VECM) approach for estimation. Results: The results from the Phillips curve model contradict the classical school of economics assumption that money is neutral in the long run. This implies that in the Nigerian economy, money is not neutral in the long run. The long run Fishers’ effect model shows that the coefficient of LOG (CPI) exhibits a negative sign and is statistically significant at a 5% significant level, thus contradicting the hypothesis which states that a one percent increase in consumer prices will lead to an increase in the rate of interest by one percent. The coefficient of nominal money supply indicates a negative sign and insignificant statistically on the interest rate. The Short-run estimated results showed that the coefficient of the error correction term ECM (–1) indicates a negative sign and is significant statistically in the Fishers’ effect model. The result shows the actual and equilibrium values are corrected with adjustment speeds equal to 31% yearly. Novelty: The study recommends that the Central Bank of Nigeria should ensure an effective implementation of monetary targeting measures in fine-tuning the economy and curbing inflationary pressures.

Money Supply and Equity Price Movements During the Liberalized Period in India

2018 ◽  
Vol 21 (1) ◽  
pp. 108-123
Author(s):  
Tarak Nath Sahu ◽  
Krishna Dayal Pandey
Keyword(s):  
Error Correction ◽  
Money Supply ◽  
Stock Prices ◽  
Function Analysis ◽  
Correction Term ◽  
Impulse Response Function ◽  
Decomposition Analysis ◽  
Causality Test ◽  
Long Run ◽  
Short Run

This study attempts to contribute towards the prevalent understanding and the extant literatures on the effect of changes in money supply as an important monetary policy shock on the stock prices of India by using a time-varying parameter models with vector autoregressive specification during the period 1996 to 2016. The result of Johansen’s cointegration test suggests a significantly positive long-run co-movement between the growth of money supply and stock prices in India but the result of vector error correction model (VECM) does not exhibit any significant relationship in short run. Further, the error correction term of the VECM reveals a long-run unidirectional causality from money supply to stock prices. However, the Granger causality test confirms that the growth rate of money supply does not cause the stock market movement in India in short run. Finally, the variance decomposition analysis reveals that both the Indian stock markets are strongly exogenous in the sense that shocks to money supply explain only a small portion of the forecast variance error of the market indices. Again, the impulse response function analysis indicates that a positive shock in money supply has a small but persistently positive effect on stock prices in India.

The Impact of Foreign Aid on Economic Growth in Ethiopia

2020 ◽  
Author(s):  
Belay Asfaw Gebresilassie ◽  
Girma Gezmu Gebre
Keyword(s):  
Economic Growth ◽  
Foreign Aid ◽  
Error Correction ◽  
Negative Impact ◽  
Correction Term ◽  
Annual Data ◽  
Close Monitoring ◽  
Long Run ◽  
Short Run ◽  
The Impact

Abstract This study analyzes the impact of foreign aid on economic growth in Ethiopia based on time series annual data for the period of 1974 to 2017. Autoregressive distributed lag Approach to Co-integration and Error Correction Model was applied in order to investigate the long-run and short-run relationship between dependent and the independent variables. The empirical results from econometrics model reveal that foreign aid has negative impact on economic growth in both long run and short run and statistically significant at 1 percent significant level. The negative and significant error correction term shows that the short run disequilibrium adjusts to its long run equilibrium by 84.6 percent each year. The important policy implication of this study suggests that more effort has to be made to improve the negative impact of foreign aid, mainly because of existence of poor institutional arrangement that contributes the fund to unproductive sectors. The government has to ensure, a close monitoring and consistent management strategies, which is used to avoid misallocation and mismanagement problems and has to ensure that foreign aid is linked to the productive sectors to optimize the benefits.

Carbon Performance, Company Financial Performance, Financial Value And Transmission Channel: An Analysis of South African Listed Companies

2021 ◽  
Author(s):  
Fortune Ganda
Keyword(s):  
Financial Performance ◽  
South African ◽  
Firm Value ◽  
Transmission Channel ◽  
Tobin’S Q ◽  
Return On Assets ◽  
Tobin's Q ◽  
Long Run ◽  
Short Run ◽  
Carbon Performance

Abstract This article examines the influence of carbon performance on corporate financial performance and company financial value among South African listed firms for the period 2014 to 2018 using a two-step GMM panel process. The short-run findings show that carbon performance develops a positive and significant association with return on assets, firm value and Tobin’s Q. In the long run, the relationship between carbon performance and return on assets as well as firm value is significantly negative; however, the link with Tobin’s Q remains positively significant. Where carbon performance is employed as the dependent parameter, a positive, significant relationship is established with return on assets, firm value and Tobin’s Q in both the short and long run. The findings also demonstrate that carbon performance is a transmission channel whereby the debt-to-equity ratio, interest cover ratio, price to cash flow ratio and current ratio improve corporate financial performance and firm value in the long run. In the short run, the regression analysis frameworks produce mixed findings on whether carbon performance is a transmission channel. Policy recommendations are made based on the findings.

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

Determinants of Total Factor Productivity in Mexico, Indonesia, Nigeria, and Turkey (1980–2014)

2018 ◽  
Vol 4 (2) ◽  
pp. 192-217 ◽  
Author(s):  
Phillip Akanni Olomola ◽  
Tolulope Temilola Osinubi
Keyword(s):  
Human Capital ◽  
Total Factor Productivity ◽  
Negative Relationship ◽  
Annual Data ◽  
Factor Productivity ◽  
Distributed Lag ◽  
Long Run ◽  
The World ◽  
Government Stability ◽  
Short Run

This study analyzed the macroeconomic and institutional determinants of total factor productivity (TFP) in the MINT (Mexico, Indonesia, Nigeria, and Turkey) countries during the period 1980–2014. Annual data covering the period between 1980 and 2014 were used. Data on real gross domestic product (real GDP), labor force, gross fixed capital formation, foreign direct investment (FDI), human capital, and inflation were sourced from the World Development Indicators published by the World Bank. Also, data on corruption, government stability, and law and order were obtained from the database of International Country Risk Guide. Panel autoregressive distributed lag (PARDL) regression technique was used to estimate the model. Results showed that TFP growth rate declined on average by 1.4 per cent and 1.8 per cent in Mexico and Turkey, respectively, while Indonesia and Nigeria did not experience productivity growth on the average. Results also showed that in the long run, human capital and government stability had positive and significant effects on TFP, while FDI and corruption had negative but significant effects on TFP. In the short run, there existed a significant negative relationship between TFP and inflation. However, the effects of human capital and corruption on TFP were positive and significant. The study concluded that human capital and corruption were key drivers of TFP in the MINT countries both in the long run and short run.

scholarly journals HIGHER EDUCATION AND ECONOMIC GROWTH A CASE STUDY OF PAKISTAN

2010 ◽  
Vol 27 (1) ◽  
Author(s):  
Tariq Mahmood
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Positive Impact ◽  
Public Expenditures ◽  
Annual Data ◽  
Unequal Distribution ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Education And Economic Growth

This paper highlights the role of higher education for the economic growth inPakistan. We explore the impact of increase in enrolment at tertiary level on thegrowth rate of income per worker. Estimating a growth model developed byMankiv et. al. (1992), using the annual data of Pakistan, we find a robustrelationship between higher education and economic growth in the long run. Themodel has also shown that investment in fixed capital has positive impact oneconomic uplift. Applying Johansen’s cointegration test, we show that the longrun elasticity of income with respect to capital stock is different from its share inGDP, and increase in the enrolment per unit of effective worker helps inbolstering economic growth. But, like earlier literature we also find statisticallyinsignificant relationship between higher education and GDP per worker. Thereare some fundamental reasons concerning to the ambiguous impact of investingin human capital on economic growth, particularly in the short run in case ofPakistan. First, the sharp increase in enrollment, recently, has been damaging thequality of education. Second, the unequal distribution of educational services hasheld back the efficiency of public expenditures, particularly before the reformsundertaken by higher education commission. Third, the low private return ofeducation has limited the demand for higher education in Pakistan for almost fiftyyears.

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.

Money Supply-Economic Growth Nexus: Evidence from a Landlocked Country

2020 ◽  
Vol 2 (1) ◽  
pp. 106-115
Author(s):  
Tilak Singh Mahara
Keyword(s):  
Economic Growth ◽  
Money Supply ◽  
Correction Term ◽  
Policy Instruments ◽  
Special Role ◽  
Real Gdp ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
The Impact

Background: There is special role of money in the economy due to its astonishing importance as change in the amount of it can have a significant effect on the major macroeconomic variables. Money supply is generally considered as policy-determined phenomenon. Like in all the nations, macroeconomic stability of Nepal also depends on the variation in the quantity of money. Objective: The principle objective of the study is to examine the impact of money supply on the economic growth of Nepal. Methodology: This study applies the ARDL approach to cointegration. Bounds test (F-version) has been carried out to determine the existence of long-run relationship between variables. Results: The empirical results pointed out that there is positive and significant long-term relationship between money supply and real economic growth in Nepal. Causality result reveals that there is unidirectional causality from money supply (M2) to Real GDP. The error correction term is found negative and statistically significant suggesting a correction of short-run disequilibrium within two and a half years. Conclusions: The study concludes that increase in the money supply helps to increase the real economic growth in Nepal. So, money supply and real GDP are associated in the long-run.  Implications: The implication of the study is that, real economic growth in Nepal can be achieved if Nepal Rastra Bank emphasized on monetary policy instruments which help to increase the flow of money supply both in the short and long run.

Sign in / Sign up

Export Citation Format

Share Document