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Measuring contagion between energy market and stock market during financial crisis: A copula approach

Energy economics, 2012-09, Vol.34 (5), p.1435-1446

2012

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Application of artificial neural networks and multiple linear regression on local bond stress equation of UHPC and reinforcing steel bars

Scientific reports, 2021-07, Vol.11 (1), p.15061-15061, Article 15061

2021

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Forecasting crude oil market volatility: Further evidence using GARCH-class models

Energy economics, 2010-11, Vol.32 (6), p.1477-1484

2010

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How do the stock prices of new energy and fossil fuel companies correlate? Evidence from China

Energy economics, 2014-01, Vol.41, p.63-75

2014

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Forecasting the realized volatility of the oil futures market: A regime switching approach

Energy economics, 2017-09, Vol.67, p.136-145

2017

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Forecasting the oil futures price volatility: A new approach

Economic modelling, 2017-08, Vol.64, p.560-566

2017

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Node, place, ridership, and time model for rail-transit stations: a case study

Scientific reports, 2022-09, Vol.12 (1), p.16120-16120, Article 16120

2022

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Forecasting the prices of crude oil: An iterated combination approach

Energy economics, 2018-02, Vol.70, p.472-483

2018

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Forecasting oil futures price volatility: New evidence from realized range-based volatility

Energy economics, 2018-09, Vol.75, p.400-409

2018

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Multifractal detrended cross-correlation analysis between the Chinese stock market and surrounding stock markets

Physica A, 2013-04, Vol.392 (7), p.1659-1670

2013

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Forecasting the Asian stock market volatility: Evidence from WTI and INE oil futures

International journal of finance and economics, 2024-04, Vol.29 (2), p.1496-1512

2024

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Forecasting realized volatility of oil futures market: A new insight

Journal of forecasting, 2018-07, Vol.37 (4), p.419-436

2018

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Macroeconomic attention and stock market return predictability

Journal of international financial markets, institutions & money, 2022-07, Vol.79, p.101603, Article 101603

2022

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Chinese agricultural futures volatility: New insights from potential domestic and global predictors

International review of financial analysis, 2023-10, Vol.89, p.102786, Article 102786

2023

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The impacts of share pledging on firm investment timing and valuation

International review of financial analysis, 2023-05, Vol.87, p.102571, Article 102571

2023

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Macroeconomic attention, economic policy uncertainty, and stock volatility predictability

International review of financial analysis, 2022-11, Vol.84, p.102339, Article 102339

2022

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Chinese crude oil futures volatility and sustainability: An uncertainty indices perspective

Resources policy, 2023-01, Vol.80, p.103227, Article 103227

2023

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Comprehensive equation of local bond stress between UHPC and reinforcing steel bars

Construction & building materials, 2020-11, Vol.262, p.119942, Article 119942

2020

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Corporate Life Cycle and the Accrual Model: An Empirical Study Based on Chinese Listed Companies

Frontiers of business research in China, 2010-12, Vol.4 (4), p.580-607

2010

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A comprehensive investigation on the predictive power of economic policy uncertainty from non-U.S. countries for U.S. stock market returns

International review of financial analysis, 2023-05, Vol.87, p.102656, Article 102656

2023

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Liquidity and realized range-based volatility forecasting: Evidence from China

Physica A, 2019-07, Vol.525, p.1102-1113

2019

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Are categorical EPU indices predictable for carbon futures volatility? Evidence from the machine learning method

International review of economics & finance, 2023-01, Vol.83, p.672-693

2023

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Natural gas volatility predictability in a data-rich world

International review of financial analysis, 2022-10, Vol.83, p.102218, Article 102218

2022

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Oil futures volatility predictability: Evidence based on Twitter-based uncertainty

Finance research letters, 2022-06, Vol.47, p.102536, Article 102536

2022

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Stock market volatility prediction: Evidence from a new bagging model

International review of economics & finance, 2023-09, Vol.87, p.445-456

2023

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Measuring contagion between energy market and stock market during financial crisis: A copula approach

Application of artificial neural networks and multiple linear regression on local bond stress equation of UHPC and reinforcing steel bars

Forecasting crude oil market volatility: Further evidence using GARCH-class models

How do the stock prices of new energy and fossil fuel companies correlate? Evidence from China

Forecasting the realized volatility of the oil futures market: A regime switching approach

Forecasting the oil futures price volatility: A new approach

Node, place, ridership, and time model for rail-transit stations: a case study

Forecasting the prices of crude oil: An iterated combination approach

Forecasting oil futures price volatility: New evidence from realized range-based volatility

Multifractal detrended cross-correlation analysis between the Chinese stock market and surrounding stock markets

Forecasting the Asian stock market volatility: Evidence from WTI and INE oil futures

Forecasting realized volatility of oil futures market: A new insight

Macroeconomic attention and stock market return predictability

Chinese agricultural futures volatility: New insights from potential domestic and global predictors

The impacts of share pledging on firm investment timing and valuation

Macroeconomic attention, economic policy uncertainty, and stock volatility predictability

Chinese crude oil futures volatility and sustainability: An uncertainty indices perspective

Comprehensive equation of local bond stress between UHPC and reinforcing steel bars

Corporate Life Cycle and the Accrual Model: An Empirical Study Based on Chinese Listed Companies

A comprehensive investigation on the predictive power of economic policy uncertainty from non-U.S. countries for U.S. stock market returns

Liquidity and realized range-based volatility forecasting: Evidence from China

Are categorical EPU indices predictable for carbon futures volatility? Evidence from the machine learning method

Natural gas volatility predictability in a data-rich world

Oil futures volatility predictability: Evidence based on Twitter-based uncertainty

Stock market volatility prediction: Evidence from a new bagging model

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