On the Relationship between Bitcoin and Other Assets During the Outbreak of Coronavirus: Evidence from Fractional Cointegration Analysis

2021 ◽  
Author(s):  
Béjaoui Azza ◽  
Nidhal Mgadmi ◽  
Wajdi Moussa
Keyword(s):  
Cointegration Analysis ◽  
Fractional Cointegration ◽  
The Relationship

The Nexus between Financial Development and Human Development: The Case of Developing Countries

2020 ◽  
Vol 8 (2) ◽  
pp. 68
Author(s):  
Bilgehan Tekin
Keyword(s):  
Developing Countries ◽  
Private Sector ◽  
Human Development ◽  
Financial Development ◽  
Cointegration Analysis ◽  
Annual Data ◽  
Causality Analysis ◽  
Development Index ◽  
Development Levels ◽  
The Relationship

The purpose of this study to examine the relationship between financial development and human development in the health and welfare dimensions of developing countries. This study aims to determine whether the financial developments of the countries have an effect on the basic human development of the individuals and whether human development indicators have an impact on financial development. In this study, the relationship between financial development and human development has been tried to be revealed by using data obtained from developing countries. Financial development levels of the countries were measured with the developed financial development index. The index is calculated by using M3 / GDP, private sector loans / GDP and loans to banks from private sector / GDP ratios. The human development index is calculated by considering various health indicators and GNP per capita. The data includes annual data for the period 1970-2016. Pedroni and Kao cointegration analysis and Dumitrescu & Hurlin panel causality analysis were performed in the study. According to the results of the study, the cointegration relationship was determined between the two variables. There is also a two-way causality between the variables.

scholarly journals Arbitrage hedging in markets for the US lean hogs and the EU live pigs

2013 ◽  
Vol 59 (No. 11) ◽  
pp. 505-511
Author(s):  
M. Ziegelbäck ◽  
G. Kastner
Keyword(s):  
Cointegration Analysis ◽  
Monetary Benefit ◽  
Price Adjustments ◽  
Long Run ◽  
Economic Interpretation ◽  
The Us ◽  
Price Differences ◽  
The Relationship ◽  
Insight Into ◽  
The Eu

  The paper describes an attempt to gain insight into the relationship between cash and futures markets for US lean hogs and EU live pigs, and the opportunity of arbitrage hedging. In doing so, the authors use newer methods of threshold cointegration analysis for time series from 1999 until 2008. Besides the existence of a long-run equilibrium, asymmetric price adjustments can be demonstrated. This is especially the case for the EU live pigs, where price variations of the basis are higher and exhibit lower standard deviation. The results also perfectly show that cash prices follow the futures market more than the other way round. Furthermore, a grid search has revealed that the residual-based threshold in either market is near zero and therefore coherent with economic interpretation. Thus, at least theoretically, arbitrageurs in those markets are able to exploit the price differences between the two markets and reap no-risk monetary benefit. Hence, the results are in line with the statement that “speculating the basis” generates a better return.

New Evidence on the Relationship Between Economic Freedom and Growth: A Panel Cointegration Analysis for The Case of OECD

2012 ◽  
Vol 12 (3) ◽  
pp. 1850263 ◽  
Author(s):  
Ekrem Erdem ◽  
Can Tansel Tugcu
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Total Factor Productivity ◽  
Economic Freedom ◽  
Global Financial Crisis ◽  
Oecd Countries ◽  
Cointegration Analysis ◽  
Factor Productivity ◽  
The Impact ◽  
The Relationship

The aim of this paper is to find a new answer to an old question “Is economic freedom good or not for economies?” which was refreshed after the Global Financial Crisis of 2008. For this purpose, the relationship between economic freedom and economic growth, and the relationship between economic freedom and total factor productivity in OECD countries were investigated by using panel data for the period of 1995-2009. Study employed the recently developed cointegration test by Westerlund (2007) and the estimation technique by Bai and Kao (2006) which account for cross-sectional dependence that is an important problem in the panel data studies. Although no significant relationship found between economic freedom and total factor productivity, cointegration analysis revealed that economic freedom matters for economic growth in OECD countries in the long-run, and estimation results showed that direction of the impact is negative.

Cointegration-causality analysis between terrorism and key macroeconomic indicators

2014 ◽  
Vol 41 (8) ◽  
pp. 664-682 ◽  
Author(s):  
Aisha Ismail ◽  
Shehla Amjad
Keyword(s):  
Research Work ◽  
Cointegration Analysis ◽  
Gdp Per Capita ◽  
Gdp Growth ◽  
Data Set ◽  
Content Type ◽  
Long Run ◽  
Macroeconomic Indicators ◽  
Per Capita ◽  
The Relationship

Purpose – The purpose of this paper is two folds: first, to analyze the long-run relationship between terrorism and key macroeconomic indicators (GDP growth, GDP per capita, inflation and unemployment) and second, to determine the direction of causality between these variables in Pakistan. Design/methodology/approach – The relationship between terrorism and various macroeconomic indicators is analyzed by applying Johansen cointegration analysis. Furthermore, the causality between terrorism and macroeconomic indicators is tested by applying Toda Yamamoto Granger causality test. Findings – The results show that there exists a long-run relationship between terrorism and key macroeconomic indicators. Furthermore, the results suggest that there exists a bi-directional causality between terrorism and inflation. The causality between GDP per capita, unemployment, GDP growth and terrorism is unidirectional. Originality/value – There is a lack of research work conducted to analyze the long-run relationship and direction of causation between terrorism and various macroeconomic indicators specifically for Pakistan. The current paper fills the gap in the literature by using sophisticated econometric techniques and recent data set to provide the evidence of the relationship between terrorism and various macroeconomic indicators.

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