Revisiting resources curse hypothesis in China: Exploring the asymmetric effect of green investment and green innovation DOI
Xuecheng Wei, HU Wei-hua

Resources Policy, Journal Year: 2023, Volume and Issue: 85, P. 103974 - 103974

Published: Aug. 1, 2023

Language: Английский

A study on carbon dioxide emissions of high-polymer road maintenance technology based on life cycle assessment evaluation DOI
Yanhui Zhong, Shengjie Xu, Bei Zhang

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 426, P. 138944 - 138944

Published: Sept. 22, 2023

Language: Английский

Citations

8

Identifying Cryptocurrencies as Diversifying Assets and Safe Haven in the Indian Stock Market DOI
Susovon Jana, Tarak Nath Sahu

Asia-Pacific Financial Markets, Journal Year: 2023, Volume and Issue: 31(4), P. 925 - 944

Published: Nov. 3, 2023

Language: Английский

Citations

7

Cryptocurrency, Gold, and Stock Exchange Market Performance Correlation: Empirical Evidence DOI Creative Commons
Kanellos Toudas,

Démétrios Pafos,

Paraskevi Boufounou

et al.

FinTech, Journal Year: 2024, Volume and Issue: 3(2), P. 324 - 336

Published: June 18, 2024

This paper examines the correlation between three prospective investing options: Bitcoin cryptocurrency price, gold, and Dow Jones stock index. The main research question is whether there a causal effect of gold DWJ on how this varies time. study begins with background analysis that explains definitions operation cryptocurrencies, followed by brief overview its derivatives. In addition, historical review markets provided, focus Then, literature follows. Daily data from separate periods are used, each spanning four years. first period, running October 2014 to September 2018, provides an introduction official price data. second Oct 2018 Sept 2022, captures more recent trends preceding COVID-19. third January 2020 December 2023, whole COVID-19 period initiation, embedded, terminal phases. Classical inductive statistical methods (descriptive, correlations, multiple linear regression) as well time series (autocorrelation, cross-correlation, Granger causality tests, ARIMA modeling) used analyze Rigorous testing for autocorrelation, multicollinearity, homoskedasticity performed estimated models. results show DWJ. over time, in mainly concerns it gold. By using models, was possible make forecast horizon few days. structure forecasting mechanism seems have changed during crisis. findings suggest future should encompass broader dataset, facilitating comprehensive comparisons enhancing reliability conclusions drawn.

Language: Английский

Citations

2

Dynamic correlation and hedging strategy between Bitcoin prices and stock market during the Russo-Ukrainian war DOI

Mariem Gaies,

Walid Chkili

Eurasian economic review, Journal Year: 2023, Volume and Issue: 13(2), P. 307 - 319

Published: June 1, 2023

Language: Английский

Citations

6

Revisiting resources curse hypothesis in China: Exploring the asymmetric effect of green investment and green innovation DOI
Xuecheng Wei, HU Wei-hua

Resources Policy, Journal Year: 2023, Volume and Issue: 85, P. 103974 - 103974

Published: Aug. 1, 2023

Language: Английский

Citations

4