scholarly journals An Empirical Study of Dividend Payout and Future Earnings in Singapore

2010 ◽  
Vol 13 (02) ◽  
pp. 267-286 ◽  
Author(s):  
King Fuei Lee
Keyword(s):  
Forecast Error ◽  
Error Variance ◽  
Response Analysis ◽  
Causality Test ◽  
Dividend Payout ◽  
Vector Error Correction ◽  
Future Earnings ◽  
Vector Error ◽  
Long Run ◽  
Forecast Error Variance

The main purpose of this paper is to apply Johansen's vector error-correction model (VECM) to investigate the existence of the dividend signalling effect in the Singapore aggregate market through impulse response analysis, forecast error variance decomposition and Granger-causality test. Our findings show that a unit shock increase in dividend payout leads to a permanent increase in future earnings over time. These results imply that there exists informational/signalling content in dividend payout in the Singapore market over the long run. We further find that at least half of the forecast error variance in earnings can be accounted for by innovations in the dividend payout. In addition, the payout ratio is also shown to Granger-cause earnings in the Singapore market.

scholarly journals Public Expenditure and Economic Growth in India: An Empirical Analysis Using Vector Autoregression (VAR) Model

2020 ◽  
Vol 5 (2) ◽  
pp. 45-58
Author(s):  
Rashmi Gupta ◽  
Swati Shastri
Keyword(s):  
Economic Growth ◽  
Public Expenditure ◽  
Forecast Error ◽  
Granger Causality Test ◽  
Error Variance ◽  
Var Model ◽  
Impulse Responses ◽  
Causality Test ◽  
Long Run ◽  
Forecast Error Variance

Objective – The objective of this study is to test direction of causality between components of public expenditure and economic growth in India. Methodology/Technique – The paper uses annual data for the period 1980-2015. To measure public expenditure, plan expenditure and non-plan expenditure are used. The econometric methodology employed is Vector Auto regression (VAR) model. Findings – First, the stationary properties of the data were tested using Augmented Dickey-Fuller (ADF) test, Dickey-Fuller (DF) test, and the Phillip-Perron (PP) test and found that variables were non-stationary in level, but stationary in first differences. Then, Johansen- Jueslius cointegration test was employed to test the long-run association among the variables and results suggest an absence of any long-run association between plan expenditure and non-plan expenditure and economic growth in India. The Granger Causality test suggests there is unidirectional causality running from economic growth and non-plan expenditure and plan expenditure and non-plan expenditure and absence of causality public expenditure and economic growth. Novelty – The results of the Forecast Error Variance Decompositions test indicated that innovations in the variables are mostly explained by their own shocks. The impulse responses of the economic growth, plan expenditure and non-plan expenditure with respect to identified shocks are consistent with the results of Variance Decomposition Analysis. Type of Paper: Empirical. JEL Classification: O4, O49, O53. Keywords: Plan Expenditure; Non-plan Expenditure; Economic Growth; Unit Root; Cointegration Test; Granger Causality Test; Forecast Error Variance Decomposition; Impulse Responses. Reference to this paper should be made as follows: Gupta, R; Shastri, S. 2020. Public Expenditure and Economic Growth in India: An Empirical Analysis Using Vector Autoregression (VAR) Model, J. Bus. Econ. Review 5(2) 45– 58 https://doi.org/10.35609/jber.2020.5.2(1)

scholarly journals Eurozone or national inflation projections: Which has greater impact on consumer expectations?

2020 ◽  
pp. 14-14
Author(s):  
Magdalena Szyszko ◽  
Karolina Tura-Gawron
Keyword(s):  
Central Bank ◽  
Forecast Error ◽  
Probabilistic Method ◽  
Error Variance ◽  
Response Analysis ◽  
Inflation Expectations ◽  
Causality Test ◽  
Consumer Expectations ◽  
Forecast Error Variance ◽  
The Impact

We compare the dependence of consumer inflation expectations on European Central Bank (ECB) inflation projections with that on national central bank (NCB) projections in four economies: Austria, Belgium, Finland, and Germany. We aim to assess whether the information published by central banks affects consumers, and whether inflation projections published by NCBs are more relevant to consumers than those published for the entire Eurozone. Inflation expectations were obtained from the Business and Consumer Surveys conducted by the Directorate General for Economic and Financial Affairs of the European Commission and quantified using the probabilistic method. The methodology covers: (1) forecast encompassing tests, (2) the Granger causality test, and (3) impulse response analysis complemented by (4) forecast error variance decomposition. The results suggest that the ECB outlook constitutes a more important factor in expectation formation. This article adds to the existing literature by comparing the impact of common and national projections on consumer expectations.

scholarly journals Stock Returns, Inflation and the “Reverse Causality” Hypothesis

2015 ◽  
Vol 4 (1) ◽  
pp. 32-50
Author(s):  
Mercy Ada Anyiwe ◽  
Sunday Osahon Igbinedion
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Forecast Error ◽  
Error Variance ◽  
Impulse Response Functions ◽  
Reverse Causality ◽  
Vector Error Correction ◽  
Vector Error ◽  
Forecast Error Variance ◽  
Causality Hypothesis

This paper attempts to empirically examine the Reverse Causality hypothesis within the Nigerian context during the period 1980 – 2011. Employing Vector Error Correction Methodology (VECM), causality was found between inflation and government stocks, with causality running from government stocks to inflation, thus providing evidence in support of the reverse causality hypothesis. The results from the forecast error variance decomposition (FEVD) and impulse response functions tend to further lend credence to this finding. Accordingly, this study suggests, in part, the need for a tight monetary policy which would help to reduce inflation and stock prices, as such measures would leave the individuals with less money to buy stocks. Such efforts should be complemented by augmenting domestic production and encouraging investment through inexpensive bank finance. 

scholarly journals Examining the Relationship between Diffrent Modes of Infrastructure Financing and Economic Growth in India

2019 ◽  
Vol 8 (4) ◽  
pp. 8677-8684
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Forecast Error ◽  
Error Variance ◽  
Public And Private ◽  
Vector Error Correction ◽  
Dynamic Relationship ◽  
Vector Error ◽  
Forecast Error Variance ◽  
The Impact

With an aim to achieve a status of 5 trillion economy, India has to fulfil the criteria of achieving minimum 9%+ growth rate consistently for next five years. But at present, the economic indicators of India reflect a dismal picture to achieve that goal. The economic growth rate of India has gone down to almost five percent in first quarter of financial year 2019-20. Since the opening up of the Indian economy in 1991, the role of private sector in reviving the country’s growth cannot be overstated. Expanding investment in infrastructure is often projected as a weapon which can play a counter cyclical role in the phase of such economic crisis. In an attempt to analyse the impact different modes of investment in infrastructure on economic growth of India, this paper examines the trend of investments by private as well as both public and private (joint) since 1990s. Further, a time series econometric analysis is carried out for a period of twenty-eight years (1990-2018) wherein the nexus between investments (primarily in transportation and energy sector) and economic growth of India (GDP per capita) is examined. To examine the dynamic relationship between the variables, their causality, exogeneity and comparability, the Vector auto regression (VAR) model, along with the Forecast Error Variance Decomposition (FEVD) and Vector Error Correction Model (VECM) is used. The results of VAR and VECM suggests that there is significant impact of investment in infrastructure upon economic growth of India.

scholarly journals Relationship between Financial Liberalization and Economic Growth in Emerging Economies: The Case of Vietnam

2016 ◽  
Vol 23 (01) ◽  
pp. 25-49
Author(s):  
Hoang Tran Huy ◽  
Huan Nguyen Huu ◽  
Linh Nguyen Thi Thuy
Keyword(s):  
Economic Growth ◽  
Financial Services ◽  
Financial Liberalization ◽  
Response Analysis ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Term Relation

This paper examines the process of financial liberalization in Vietnam over the period from 1993 to 2013. On adopting Vector Error Correction Model (VECM), the results suggest that there is a long-term relation between economic growth and financial liberalization, in which the financial market liberalization and financial services liberalization provide better support during the growth of Vietnam’s economy. In addition, using various techniques including Granger causality test, impulse response analysis, and variance decomposition, the paper also clarifies the motives for financial liberalization from the process of short-term financial development and economic growth in the country.

scholarly journals The Infrastructure–Growth Nexus in Nigeria: A Reassessment

2019 ◽  
Vol 11 (1-2) ◽  
pp. 41-58
Author(s):  
Godday Uwawunkonye Ebuh ◽  
Ifeoma Betty Ezike ◽  
Tersoo Shimonkabir Shitile ◽  
Ebow Suleiman Smith ◽  
Timipre Mary Haruna
Keyword(s):  
Policy Formulation ◽  
Jel Classification ◽  
Output Growth ◽  
Infrastructure Development ◽  
Real Economy ◽  
Causality Test ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Financial Infrastructure

This article re-examines the link between infrastructure development and output growth in Nigeria for policy formulation and implementation. The article employed the Granger causality test based on the time series vector error correction model (VECM) to reinvestigate the nexus between infrastructure investment and economic growth in Nigeria, using quarterly data from 1997:Q1 to 2017:Q4. This study, therefore, interrogates and accepts the infrastructure–growth hypothesis that increased financial infrastructure and infrastructure stock stimulates long-run real economy expansion in the Nigerian context. JEL Classification: H54, E23, C23

THE PRICE OF COCAINE AND THE COLOMBIAN PESO: AN EMPIRICAL INVESTIGATION

2019 ◽  
Vol 19 (03) ◽  
pp. 1950015
Author(s):  
ALEXI THOMPSON ◽  
YAYA SISSOKO
Keyword(s):  
Forecast Error ◽  
Control Policy ◽  
Error Variance ◽  
Decomposition Methods ◽  
Nominal Exchange Rate ◽  
Policy Implications ◽  
Vector Error Correction ◽  
National Drug ◽  
Forecast Error Variance ◽  
National Drug Control Policy

While the underground economy is not explicitly included in the measure of (GDP), the cocaine trade has been a major source of revenue for Colombia. Using quarterly cocaine prices from 1982 to 2007 published by the Office of National Drug Control Policy, this paper uses vector error correction and forecast error variance decomposition methods to look at the relationship between cocaine prices and the peso/$ nominal exchange rate. Our results indicate cocaine prices affect the value of the Colombian peso, which leads to some interesting policy implications.

scholarly journals The Relationship between Household Debt and Consumption Spending in South Africa

2017 ◽  
Vol 9 (2) ◽  
pp. 243
Author(s):  
Patience Nkala ◽  
Asrat Tsegaye
Keyword(s):  
South Africa ◽  
Well Being ◽  
Household Debt ◽  
Causality Test ◽  
Policy Makers ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
The Relationship

Consumption has been and remains the main contributor to gross domestic product (GDP) growth in South Africa. Household debt on the other side has remained high over the years. These two economic indicators are a reflection of the well-being of an economy. This study thus examined the relationship between household debt and consumption spending, for the period between 1994 and 2013. The Johansen cointegration technique and the Vector error correction model (VECM) were utilised to test the long run and short run relationships between the variables. The Granger causality test was also employed to test the direction of causality between the variables. Results from this study have revealed that a relationship exists between household debt and consumption spending in South Africa and they have also showed that this relationship flows from household debt to consumption spending. The implications of these results are that consumption spending may be increased through other measures rather than through increasing debt. The study therefore recommends that policy makers avail more investment opportunities for households and to also create employment in a bid to increase the income of households which can then be used to increase household consumption rather than the use of debt.

THE CAUSAL RELATIONSHIP BETWEEN INSURANCE AND ECONOMIC GROWTH IN NIGERIA (1986-2010)

2012 ◽  
Vol 02 (12) ◽  
pp. 49-57
Author(s):  
TAIWO AKINLO
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Causal Relationship ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run

This study examined the causal relationship between insurance and economic growth in Nigeria over the period 1986-2010. The Vector Error Correction model (VECM) was adopted. The cointegration test shows that GDP, premium, inflation and interest rate are cointegrated when GDP is the edogeneous variable. The granger causality test reveals that there is no causality between economic growth and premium in short run while premum, inflation and interest rate Granger cause GDP in the long run which means there is unidirectional causality running from premium, inflation and interest rate to GDP. This means insurance contributes to economic growth in Nigeria as they provide the necessary long-term fund for investment and absolving risks.

Do ‘Shariah’ indices surpass conventional indices? A study on Dhaka Stock Exchange

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Bokhtiar Hasan Aarif ◽  
Muhammad Rafiqul Islam Rafiq ◽  
Abu N.M. Wahid
Keyword(s):  
Stock Exchange ◽  
Forecast Error ◽  
Error Variance ◽  
Impulse Response Functions ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Significant Difference ◽  
Short Run ◽  
Two Indices

Purpose This paper aims to examine whether the Sharīʿah indices outperform the conventional indices as evident from Dhaka Stock Exchange (DSE). To achieve the objective, the study, first, assesses the risk adjusted returns of the Sharīʿah and conventional indices and compares the same between the two indices. Second, it examines the short-run and long-run associations between the two indices. Design/methodology/approach The DSEX Sharīʿah index and DSE broad index of the DSE are used as representatives of the Sharīʿah and conventional indices, respectively. The study uses monthly data for the period 2014–2018 and applies a number of techniques such as risk adjusted returns, Johansen’s cointegration test, vector error correction model, Granger causality test, forecast error variance decomposition and impulse response functions techniques. Findings The study reveals that albeit there is no significant difference in simple mean between the two indices, the Sharīʿah index outperforms its conventional counterpart based on the risk adjusted returns. The two indices are associated only in the long-run, while no causal relationship is spotted between them. The overall results show that the Sharīʿah index has dominance over the conventional index in Bangladesh. Research limitations/implications The study could use more pairs of indices, including additional variables such as financial crisis and macroeconomic variables. Practical implications The study has important implications to investors, especially the religious Muslims and ethical ones, who are suggested to invest their funds in the Sharīʿah index without sacrificing returns, rather be monetarily more benefited. Moreover, the other investors can generate diversification benefits by adding both Sharīʿah and conventional indices in their portfolios in the short-run. Originality/value Unlike previous studies, this study endeavors to use a comprehensive methodology to conduct its analysis. Moreover, this is supposedly the first ever effort to conduct such a study in the context of Bangladesh.

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