Results 51 to 60 of about 25,351,427 (247)

Covid-19 Pandemisinin Seçilmiş Borsa Endeksleri Üzerine Etkisinin İncelenmesi

open access: yesGaziantep Üniversitesi Sosyal Bilimler Dergisi, 2020
2019 yılının sonlarında Çin’in Wuhan şehrinde görülen ve tüm dünyaya yayılarak küresel bir sorun haline gelen ölümcül ve bulaşıcı özelliğe sahip Covid-19 hastalığının bireyleri, ülkeleri ve dünya ekonomisini olumsuz yönde etkileyeceği tahmin edilmektedir.
Abdulkadir Barut, Ceyda Yerdelen Kaygın
doaj   +1 more source

Did the S.A.R.S. epidemic weaken the integration of Asian stock markets? Evidence from smooth time-varying cointegration analysis

open access: yes, 2018
The purpose of this study is to examine the effect of the Severe Acute Respiratory Syndrome (S.A.R.S.) epidemic on the long-run relationship between China and four Asian stock markets.
Mei-Ping Chen   +3 more
semanticscholar   +1 more source

Energy Demand Forecasting: Combining Cointegration Analysis and Artificial Intelligence Algorithm

open access: yes, 2018
Energy is vital for the sustainable development of China. Accurate forecasts of annual energy demand are essential to schedule energy supply and provide valuable suggestions for developing related industries.
Junbing Huang, Yuee Tang, Shuxing Chen
semanticscholar   +1 more source

Fractional integration and cointegration in US financial time series data [PDF]

open access: yes, 2011
This paper examines several US monthly financial time series data using fractional integration and cointegration techniques. The univariate analysis based on fractional integration aims to determine whether the series are I(1) (in which case markets ...
Caporale, Guglielmo Maria   +1 more
core   +5 more sources

A Cointegration Analysis of Real GDP and CO2 Emissions in Transitional Countries

open access: yes, 2017
This paper analyses the relationship between real GDP and CO2 emissions for 17 transitional economies based on a series of annual data from 1997 to 2014. The analysis was conducted using Dynamic Ordinary Least Squares (OLS) (DOLS) and Fully Modified OLS (
Petar Mitić   +2 more
semanticscholar   +1 more source

LONG-TERM EQUILIBRIUM RELATIONSHIPS BETWEEN THE STOCK AND CRYPTOCURRENCIES MARKETS

open access: yesЕкономіка та суспільство
This study investigates the long-term equilibrium relationships between the stock market, represented by the Dow Jones Industrial Average (DJIA), and a comprehensive range of 401 cryptocurrencies traded on Binance. Employing Johansen cointegration tests
Кирило Троян
doaj   +1 more source

Kırgızistan Ekonomisinde Ekonomik Büyüme ve Enerji Tüketimi İlişkisi Açısından Sürdürebilir Büyüme Analizi

open access: yesEkonomi, Politika & Finans Araştırmaları Dergisi, 2018
Bu çalışmada Kırgızistan ekonomisi enerji tüketimi ve ekonomik büyüme arasındaki ilişki sürdürülebilirlik açısından incelenmiştir. Yani çalışmanın amacı ekonomik büyümenin hem enerji üretimi hem de tüketimi açısından uzun dönem ilişkilerinin ...
Aziz Bostan, Afşin Ravanoğlu
doaj   +1 more source

Software and services export, IT investment and GDP nexus in India [PDF]

open access: yesInternational Trade, Politics and Development, 2019
Purpose – The purpose of this paper is to investigate both long-run and short-run dynamics among the software and services export, investment in information technology (IT) and GDP in India and to investigate the direction of the relationship among the ...
Manzoor Hassan Malik, Nirmala Velan
doaj   +1 more source

Re-evaluating the energy consumption-economic growth nexus for the United States: An asymmetric threshold cointegration analysis

open access: yes, 2018
This paper examines the relationship between energy consumption and economic growth for the United States both at a country and at a sectoral level (Industry, Residential, Electric Power and Transportation) using an asymmetric threshold cointegration ...
Stavros A. Kourtzidis   +2 more
semanticscholar   +1 more source

Autoregressive T-Cell-Receptors Algorithm-Based Interventions for Multivariate Cointegration Estimation and Forecast

open access: yesIEEE Access
Forecasting multivariate time series is difficult because such data often show non-stationarity, autocorrelation, and structural shifts. An added challenge is cointegration, where variables share hidden long-term synchronization trends even if they move ...
Vishwambhar Pathak   +3 more
doaj   +1 more source

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