scholarly journals An Analysis of the Dynamic Relationship between the Global Macroeconomy and Shipping and Shipbuilding Industries

2021 ◽  
Vol 13 (24) ◽  
pp. 13982
Author(s):  
Sunghwa Park ◽  
Janghan Kwon ◽  
Taeil Kim
Keyword(s):  
Theoretical Model ◽  
Granger Causality ◽  
Impulse Response ◽  
Granger Causality Test ◽  
Response Analysis ◽  
Causality Test ◽  
Vector Autoregressive ◽  
Macroeconomic Variables ◽  
Historical Decomposition ◽  
Structural Vector

Using time-series data from January 2006 to February 2021, this study analyzed the effect of macroeconomic shocks on the shipping and shipbuilding industries. The Granger causality test, recursive structural vector autoregressive models, impulse response analysis, historical decomposition, and local projections model were used to identify the dynamic relationships between the variables and their dynamic effects, based on the results of the theoretical model and previous research. First, the Granger causality test demonstrated that the macroeconomic variables have causal relations with the shipping and shipbuilding industries. Second, the recursive structural vector autoregressive estimation demonstrated that the direction of the shocks from macroeconomic variables is statistically significantly, consistent with the theoretical model. The same results were found in the recursive structural vector autoregressive model and local projection impulse response analysis. Finally, the historical decomposition identified the main causal variables affecting the shipping and shipbuilding industries by period. These findings can help policymakers, operators of shipping and shipbuilding companies, and investors evaluate and make policy-supporting decisions on industry conditions.

scholarly journals INTER-RELATIONSHIP BETWEEN THE HOUSING MARKET AND HOUSING FINANCE SYSTEM: EVIDENCE FROM MALAYSIA

2014 ◽  
Vol 18 (2) ◽  
pp. 138-150 ◽  
Author(s):  
Rosli Said ◽  
Alaistair Adair ◽  
Stanley McGreal ◽  
Rohayu Majid
Keyword(s):  
Housing Market ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Housing Finance ◽  
Causality Test ◽  
Vector Autoregressive ◽  
Finance System

The Malaysian housing market and associated housing finance system have expanded significantly as a result of rapid urbanisation since the late 1980s. The key aspect of this paper is to analyse the inter-relationship between the housing market and housing finance system in Malaysia. The paper employs Vector Autoregressive approach and Granger Causality test to empirically investigate this inter-relationship. In Malaysia, no housing studies has actually looked into or used this approach to identify the inter-relationship between these two elements. The key findings show that there is a strong inter-relationship between the housing market and housing finance system. The direction of causality shows that there is a bi-directional relationship between the housing market and housing finance system. These inter-relationships provide evidence that sound performance of the sub-markets within the housing finance system is a determinant prerequisite of the robustness of the housing finance system, if a healthy performance of the housing market is to be achieved.

scholarly journals Exports as a Determinant of Inflation in Kenya: Disaggregated Econommetric Analysis

2017 ◽  
Vol 13 (10) ◽  
pp. 417
Author(s):  
Evans Ovamba Kiganda ◽  
Scholastica Adhiambo ◽  
Nelson Obange
Keyword(s):  
Time Series ◽  
Central Bank ◽  
Granger Causality ◽  
Impulse Response ◽  
Response Analysis ◽  
Vector Autoregressive ◽  
Impulse Response Analysis ◽  
Long Run ◽  
The Government ◽  
The Relationship

The purpose of this study was to examine exports as a determinant of inflation in Kenya: A disaggregated econometric analysis with specific objectives of establishing the relationship between domestic exports and inflation in Kenya and determining the relationship between re - exports and inflation in Kenya. This was occasioned by inconclusive and incomprehensive analysis on the relationship between exports and inflation given mixed results and failure by scholars to disaggregate total exports into domestic exports and re-exports. Correlation research design was employed using monthly time series obtained from Central Bank of Kenya (CBK) data spanning 132 months from January 2005 to December 2015.Vector Autoregressive (VAR) techniques of cointegration, Granger causality and impulse response analysis were employed. Results indicated a significant positive and negative long run relationship between domestic exports and re- exports with inflation in Kenya respectively that were supported by the impulse response analysis. A unidirectional causality running from domestic exports to inflation and re-exports to inflation was also established. The study concluded that domestic exports and re-exports determine inflation in Kenya with domestic exports having greater influence and therefore recommended that the government of Kenya needs to advocate for a trade policy that aims at reducing exports of domestically produced products and increase re-exports. This will ensure that only surplus is exported to reduce shortage of domestically produced commodities hence a reduction in price for the products.

An Econometric Analysis of Linkages between Macroeconomic Variables and Stock Markets: Evidence from Asian Emerging Markets

GIS Business ◽  
2018 ◽  
Vol 13 (5) ◽  
pp. 21-30
Author(s):  
Risha Khandelwal
Keyword(s):  
Emerging Markets ◽  
Interest Rates ◽  
Stock Returns ◽  
Granger Causality ◽  
Stock Markets ◽  
Unit Root Test ◽  
Granger Causality Test ◽  
Causality Test ◽  
Macroeconomic Variables ◽  
Study Results

The purpose of this paper is to investigate impact of macroeconomic variables on stock markets of India and Indonesia. This paper also attempts to identify linkages between markets and macroeconomic variables. The rationale behind selecting these countries for the present study is MSCI emerging markets index of Asia, which comprises emerging economies with huge return potential for prospective investors. This study will help investors and researchers to understand dynamics of linkages between markets and macroeconomic variables. Augmented Dickey-Fuller (ADF) unit root test is used to assess the stationary of time series, Johansen test co-integration is applied to examine long-term integration among variables, Granger causality test is used to examine the causality relationship between macroeconomic variables and stock returns. The monthly data are taken for the study which ranges from July 1997 to July 2017. Currency exchange rates, interest rates, money supply, and inflation are the macroeconomic variables for the current study. Results revealed that there is one co-integrating equation of long-run equilibrium between the variables for both countries. Granger causality test reveals that there exists unidirectional and bidirectional relationship between the variables.

ANALISIS KETERKAITAN ANTAR KELOMPOK PENGELUARAN INFLASI MENGGUNAKAN VECTOR AUTOREGRESSIVE MODEL

2021 ◽  
Vol 2 (1) ◽  
pp. 14-27
Author(s):  
I GUSTI BAGUS NGURAH DIKSA
Keyword(s):  
Granger Causality ◽  
Financial Services ◽  
Granger Causality Test ◽  
Processed Food ◽  
Vector Autoregressive Model ◽  
Causality Test ◽  
Vector Autoregressive ◽  
Endogenous Variables ◽  
Stationarity Test ◽  
The Relationship

In this study, testing steps were carried out, namely the stationarity test, determining the optimum lag, hypothesis testing and the formation of the VAR model, the Granger causality test and classical assumptions. The data used are month to month inflation data for each inflation expenditure group in Indonesia for the period January 2013 to December 2019. The inflation expenditure group is foodstuffs; processed food, beverages, cigarettes and tobacco; housing, water, electricity, gas and fuel; clothing; health; education, recreation and sports; and transportation, communication, and financial services. However, in this study only five inflation expenditure groups were used, namely foodstuffs; processed food, beverages, cigarettes and tobacco; housing, water, electricity, gas and fuel; clothing; as well as transportation, communication and financial services. The purpose of this study is to analyze the relationship between inflation expenditure groups and to find a forecasting model for inflation expenditure groups in Indonesia. After the Granger causality test was carried out, all probability values between endogenous variables, namely the five groups of inflation expenditures were less than 0,05 or rejected H0. Therefore, it can be concluded that there is a causal relationship between endogenous variables.

scholarly journals The Effect of Foreign Debt on The Exchange Rate and Its Impact on Monetary Policy in Indonesia

Media Trend ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. 128-135
Author(s):  
Diah Wahyuningsih ◽  
Uun Primangesti Ningsih
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rate ◽  
Granger Causality ◽  
Impulse Response ◽  
Foreign Debt ◽  
Granger Causality Test ◽  
Causality Test ◽  
The Exchange Rate ◽  
The Interest Rate

The objectives of this study are to analyze the effect of foreign debt on the exchange rate that seen from the foreign debt and the exchange rate, and add the variable of inflationary monetary policy and the interest rate of BI Rate to test its impact on monetary policy in Indonesia. The approach in this study is quantitative approach. Data that used are Time Series data from Asian Development Bank and Indonesian World Bank in 1986-2013. Variables that used are exchange rate, foreign debt, inflation and the interest rate of BI Rate. Method that used in this study is Vector Auto Regression (VAR) analysis. The stages that used in this study testing are stationary test, optimal lag test, Granger causality test, impulse response test, and variance decomposite test in Eviews 6 program. The results of Granger causality test of all variables in this study are unlikely to have a relationship and there are only two variables that give an effect.Based on the results of Granger causality, it shows that there is bidirectional between foreign debt variable that has an effect on the exchange rate in Indonesia and the exchange rate has an effect on the foreign debt in Indonesia. While the foreign debt has an effect on the interest rate of BI Rate. For the results of impulse response test show that the exchange rate variable gives the biggest respond to the shock of foreign debt variable, compared to inflation and the interest rate of BI Rate variables. The results of Variance decomposite show that the contribution which given by foreign debt variable on the exchange rate is relatively bigger compared to the contribution that given by inflation and the interest rate of BI Rate variables.

scholarly journals DYNAMIC MODELING OF TIME SERIES DATA USING BEKK-GARCH MODEL

2020 ◽  
Vol 17 (36) ◽  
pp. 1186-1198
Author(s):  
Mustofa USMAN ◽  
N INDRYANI ◽  
WARSONO A. ◽  
AMANTO WAMILIANA
Keyword(s):  
Time Series ◽  
Granger Causality ◽  
Impulse Response ◽  
Time Series Data ◽  
Granger Causality Test ◽  
Share Price ◽  
Series Data ◽  
P Value ◽  
Test Statistics ◽  
Causality Test

The Vector Autoregressive Moving Average (VARMA) model is one of the models that is often used in modeling multivariate time series data. In time-series data of economics, especially data return, they usually have high fluctuations in some periods, so the return volatility is unstable. In modeling data return of share prices ADRO and ITMG, the behavior of high volatility will be considered. This study aims to find the best model that fits the data return of share price of the energy companies of PT Adaro Energy Tbk (ADRO) and PT Indo Tambangraya Megah Tbk (ITMG), to analyze the behavior of impulse response of the variables data return ADRO and ITMG, to analyze the granger causality test, and to forecast the next 12 periods. Based on the selection of the best model using the criteria of AICC, HQC, AIC, and SBC, it was found that the VARMA (2.2) -GARCH (1.1) model is the best one for the data in this study. The model VARMA(2,2)-GARCH (1,1) is then written as a univariate model. For the univariate ADRO model, the test statistics F = 4,73 and P-value = 0,0084, which indicates the model is very significant; and for the univariate ITMG model, the test statistics is F = 5,82 and P-value 0,0001, which indicates the model is significant. Based on the best model selected, the impulse response, Granger causality test, and forecasting for the next 12 periods are discussed.

Do Macroeconomic Variables Impact the Indian Stock Market?

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Khalid Ul Islam ◽  
Mohsina Habib
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Stock Returns ◽  
Causal Relationship ◽  
Granger Causality ◽  
Oil Prices ◽  
Granger Causality Test ◽  
Causality Test ◽  
Macroeconomic Variables ◽  
Indian Stock Market

This paper is intended to study the impact of various macroeconomic variables on Indian stock market. Based on the Arbitrage Pricing Theory (APT) propounded by Ross in 1976 and various other studies, a number of macroeconomic variables including, inflation, industrial production, exchange rate, money supply, interest rate, and oil price have been identified to have a significant impact on the stock market. We have applied the multivariate extension of the classical linear regression model computed on Ordinary Least Squares method and Granger Causality test to re-establish the relationship between macroeconomic variables and stock returns over a period of 10 years from 2005 to 2015 using monthly observations. The results of this study show that only exchange rate has a significant negative impact on stock returns. The other macroeconomic variables are not significantly affecting stock returns, however, their impact is in accordance with the economic theory. The Granger Causality test reveals absence of any causal relationship between stock returns and macroeconomic variables, except in case of oil prices, where we find a unidirectional causal relationship running from stock returns to oil prices. However, the Granger Causality results should not be taken in the conventional meaning of causality, but results merely identifying precedence.

scholarly journals Vector autoregressive-based Granger causality test in the presence of instabilities

2019 ◽  
Vol 19 (4) ◽  
pp. 883-899 ◽  
Author(s):  
Barbara Rossi ◽  
Yiru Wang
Keyword(s):  
Granger Causality ◽  
Granger Causality Test ◽  
Causality Test ◽  
Robust Test ◽  
Vector Autoregressive ◽  
Causality Tests ◽  
Granger Causality Tests

In this article, we review Granger causality tests that are robust to the presence of instabilities in a vector autoregressive framework. We also introduce the gcrobustvar command, which illustrates the procedure in Stata. In the presence of instabilities, the Granger causality robust test is more powerful than the traditional Granger causality test.

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