scholarly journals Volatility of Ship Demolition Index Prices

2021 ◽  
Vol 10 (2) ◽  
pp. 488-495
Author(s):  
Bangar Raju Totakura ◽  
Vrinda Sharma ◽  
Vishal Kashav ◽  
Subir Ranjan Das
Keyword(s):  
Time Series ◽  
Indian Subcontinent ◽  
Granger Causality Test ◽  
Final Analysis ◽  
Test Results ◽  
Causality Test ◽  
Asymmetric Effects ◽  
Two Indices ◽  
The Baltic ◽  
The Relationship

Aim: The main objective of this paper is to explore the volatility of ship demolition indices. Ship demolition indices are becoming increasingly important owing to the growing number of norms and rules imposed by the International Maritime Organization. Financial crunch and stricter emission norms are forcing vessel owners to consider ship demolition options. This study examines the volatility of ship demolition rates of the Baltic Demolition Index and the causal relationship between the Chinese and Indian subcontinent indices. Methods: EGARCH models have been used to explore the volatility and asymmetric effects in the time series. The relationship between the two indices was established using the Granger causality test. Results and conclusion: The final analysis confirmed that ship demolition indices are both volatile and asymmetric. This study is unique and useful to ship owners, vessel operators, and banks as it helps them understand the risks involved.

scholarly journals An Econometric Analysis on Remittance and Economic Growth in Bangladesh

2020 ◽  
pp. 214-218
Author(s):  
Md Shafiul Islam
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Granger Causality ◽  
Time Series Data ◽  
Granger Causality Test ◽  
Causal Link ◽  
Series Data ◽  
Causality Test ◽  
External Finance ◽  
The Relationship

In Bangladesh, migrant worker’s remittances constitute one of the most significant sources of external finance. This paper investigates the existence of relation between remittance inflow and GDP and the causal link between them in Bangladesh by employing the Granger causality test under a VECM framework. Using time series data over a 38 year period, we found that growth in remittances does lead to economic growth in Bangladesh. In addition to the relationship, this paper also points out some issues that are working as impediments in getting remittance and give some recommendations to overcome those impediments.

scholarly journals ANALISIS KAUSALITAS INFLASI, KETIMPANGAN PENDAPATAN, DAN PERTUMBUHAN EKONOMI DI INDONESIA

Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 701
Author(s):  
Rifki Ihsan ◽  
Hasdi Aimon ◽  
Alpon Satrianto
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Income Inequality ◽  
Granger Causality ◽  
Vector Autoregression ◽  
Granger Causality Test ◽  
Analysis Model ◽  
Causality Test ◽  
The Relationship

The aim of this study is to analyze the relationship between Inflation, Income Inequality and Economic Growth in Indonesia. The type of this research is associative and analysisdescriptive. The data used in this reseach is secondary of time series from 1986 to 2016 obtained from Word Bank. Analysis model using the Vector Autoregression (VAR). Theanalysis initially used the Vector Autoregression (VAR), because the stationer variabel on first diferent range, then this study continued byVector Error CorrectionModel (VECM) and Granger Causality Test. The result of this study show (1) There is nocausality between Inflation affects to Income Inequality, (2) There is no causality between Inflation affects to Economic Growth, (3) There is causality in the direction in which Income Inequality affects to Economic Growth. In addition, because of the prevalence of income in Indonesia, this will increase economic growth in Indonesia. Keywords:Inflation, Income Inequality, Economic Growth

scholarly journals Predicting Equity VIX Of Technological Companies

2019 ◽  
Vol 8 (2) ◽  
pp. 252-257
Keyword(s):  
Time Series ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Time Series Model ◽  
Causality Test ◽  
Volatility Index ◽  
Relationship Of ◽  
The Relationship

The impulse of the study is to examine volatility index of single options share of five different companies. The study emphasizes on the relationship between various VIX stocks when compared with VIX of Apple. The main objective of this study is to predict relationship of volatility index of single options stock of five different companies – Apple, Amazon, Goldman Sachs, Google, IBM. These equity stocks are considered to be the premier stocks which has its independent VIX. The study uses time series model. The test of its relevance is done Correlation, Covariance, ARCH and Granger Causality test. Any change in the VIX index of Amazon, Goldman sacks, IBM will not affect VIX of Apple. There will not be market affect for stock Amazon, Google, VIX and Goldman Sachs. It is the first study to identify the relationship of the volatility index of single options stock of five different companies.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.

PENGUJIAN WAGNER'S LAW VERSUS KEYNESIAN HYPOTHESIS: PENDEKATAN REGIONAL INDONESIA

2021 ◽  
Vol 2 (2) ◽  
pp. 181-193
Author(s):  
Esti Pasaribu ◽  
Septriani Septriani
Keyword(s):  
Government Expenditure ◽  
Granger Causality Test ◽  
Empirical Theory ◽  
Causality Test ◽  
Wagner’S Law ◽  
Long Run ◽  
Wagner's Law ◽  
The Government ◽  
The Relationship ◽  
Positive Effect

In this paper, we tested the Wagner’s Law against the Keynesian Hypothesis for Indonesia using granger causality test. After conducting theoretical and empirical theory, this paper is analysing the relationship between government expenditure and GDP percapita. The long run parameters and causality test found valid Wagners’ Law in Indonesia not Keynesian Hypothesis. The results reveal a positive and statistically significant long run effect running from economic growth toward the government expenditure refer to Wagner’s Law in Indonesia. Further more, the growth of population is giving a positive effect for government expenditure also.

The Relationship Between Stock Market Indices of the Biggest Six Economies of the European Union and BIST 100

2020 ◽  
pp. 257-275
Author(s):  
Serdar Ögel ◽  
Fatih Temizel
Keyword(s):  
European Union ◽  
Stock Market ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Var Model ◽  
The European Union ◽  
Causality Test ◽  
Integration Test ◽  
Causality Relationship ◽  
The Relationship

This chapter examines the relationship between stock market indices of the biggest six economies of the European Union and BIST 100. In this context, this study used the daily time series regarding indices of DAX for Germany, CAC 40 for France, FTSE MIB for Italy, IBEX 35 for Spain, AEX for Holland, FTSE 100 for United Kingdom, and BIST 100 for Turkey from 2014 to 2018. To test whether there is a co-integration relationship among indices, Johansen co-integration test was used. Since a co-integration relationship was not found between series, causality relationship between the European stock market indices and Turkey was tested with Granger causality test by establishing standard VAR model. As a result, a unidirectional Granger causality relationship was found from DAX, FTSE 100, CAC 40, IBEX 35, and AEX to BIST 100 according to lag length 1 and 2. However, a unidirectional Granger causality relationship was only found from FTSE MIB to BIST 100 for lag length 1. For lag length 1 and 2, no causality relationship was found from BIST 100 to the selected European stock market indices.

scholarly journals Financial Development and Economic Growth: Time Series Analysis of Economy of Pakistan

2018 ◽  
Vol 5 (2) ◽  
pp. 59
Author(s):  
Muhammad Shoukat Malik ◽  
Raisham Hayee ◽  
Raima Adeel
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Analysis ◽  
Causal Relationship ◽  
Financial Development ◽  
Granger Causality Test ◽  
Growth Time ◽  
Annual Data ◽  
Causality Test ◽  
Stationary Level

This study aims in understanding the causal relationship between financial development and economic growth. This research used annual data and applied dickey fuller test and granger causality test in order to understand stationary level and causation in variables. The results of this test give support to first hypothesis that financial development causes economic growth. While no evidence was found on the support of our second hypothesis i.e. economic growth is causing financial development.

scholarly journals The correlation and volatility between bitcoin and the blockchain index

2020 ◽  
Vol 4 (2) ◽  
pp. 103-115
Author(s):  
Tuotuo Qi ◽  
Tianmei Wang ◽  
Jianming Zhu ◽  
Ruyu Bai
Keyword(s):  
Granger Causality ◽  
Design Methodology ◽  
Granger Causality Test ◽  
External Shocks ◽  
Class Model ◽  
Causality Test ◽  
Content Type ◽  
Blockchain Technology ◽  
The World ◽  
The Relationship

Purpose The encrypted money market has attracted the attention of investors all over the world. Among the encrypted currency, bitcoin is undoubtedly the most popular. Because blockchain technology is the crucial support of bitcoin, exploring the relationship between bitcoin and the blockchain index is necessary. Design/methodology/approach This paper uses the Granger causality test to explore the correlation between bitcoin and the blockchain index. Furthermore, their volatility is analyzed by a GARCH-class model. Findings The results show that no significant correlation exists between bitcoin and the blockchain index; external shocks aggravate the volatility of bitcoin and the blockchain index, and the volatility has a certain degree of sustainability; and blockchain index has obvious leverage, namely, its decline has a stronger impact. Originality/value The volatility of bitcoin and the blockchain index is crucial for investors.

The relationship between energy consumption and gross domestic product in Hong Kong (1992–2015): Evidence from sectoral analysis and implications on future energy policy

2019 ◽  
Vol 31 (2) ◽  
pp. 215-236
Author(s):  
Ruixiaoxiao Zhang ◽  
Geoffrey QP Shen ◽  
Meng Ni ◽  
Johnny Wong
Keyword(s):  
Time Series ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Causal Relationship ◽  
Granger Causality ◽  
Value Added ◽  
Granger Causality Test ◽  
Domestic Product ◽  
Causality Test ◽  
Per Capita

The causal relationship between energy consumption and gross domestic product in Hong Kong from 1992 to 2015 is investigated in this study. Different from the previous studies focusing on the causal relationship between total energy consumption and total gross domestic product per capita, this study further investigates the causal relationship from sectoral perspective, including residential, commercial, industrial and transportation sectors. For each sector, the time series data of sectoral energy consumption and sectoral per capita value added are collected. To conduct the Granger causality test, the unit root test is first applied to analyse the stationarity of time series. The cointegration test is then employed to examine whether causal relationship exists in long-term. Finally, based on the aforementioned tests, both vector error correction model and vector autoregression model can be selected to determine the Granger causality between time series. It is interesting to find that the sectoral energy consumption and corresponding sectoral per capita value-added exhibit quite different causal relationships. For both residential sector and commercial sectors, a unidirectional causal relationship is found running from the sectoral per capita value added to sectoral energy consumption. Oppositely, for industrial sector and transportation sector, a unidirectional causal relationship is found running from sectoral energy consumption to sectoral per capita value added. Regarding the Granger causality test results, the indicative suggestions on energy conservation policies, energy efficiency policies and greenhouse gas emission reduction policies are discussed based on the background of Hong Kong’s economic structure and fuel types.

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