Yu Wei
Economics and Econometrics · Finance Research Letters · 2008–2021
A researcher in the Science corpus: 29 papers; trusts 110 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 592 citations into it; #3,175 of 23,481 by trust here, #1,235 by citations
- Finance — 344 citations into it; #2,326 of 10,518 by trust here, #975 by citations
- Renewable Energy, Sustainability and the Environment — 108 citations into it; #4,977 of 5,212 by trust here, #2,599 by citations
- Management Science and Operations Research — 104 citations into it
- Statistical and Nonlinear Physics — 79 citations into it; #7,442 of 10,127 by trust here, #2,928 by citations
- Statistics and Probability — 35 citations into it
- Molecular Biology — 34 citations into it
- Condensed Matter Physics — 25 citations into it; #1,358 of 1,948 by trust here, #863 by citations
Whom Yu Wei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- P. R. Hansen
- Tim Bollerslev
- Torben G. Andersen
- Robert F. Engle
- Halbert White
- Yudong Wang
- Fulvio Corsi
- Lutz Kilian
- Ole E. Barndorff-Nielsen
- Perry Sadorsky
Who trusts Yu Wei overall
- Feng Ma
- Yue‐Jun Zhang
- Chao Liang
- Jing Liu
- Stavros Degiannakis *
- Guangxi Cao
- Erik Haugom
- M. Wahab
- Ladislav Kristoufek
- Jinliang Zhang
Papers from Yu Wei's perspective
Ordered by how strongly the researchers Yu Wei trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized autoregressive conditional heteroskedasticity
- Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility (Review of Economics and Statistics)
- Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation
- Dynamic Conditional Correlation
- Econometric analysis of realized volatility and its use in estimating stochastic volatility models
- A Reality Check for Data Snooping
- Dynamic Conditional Correlation a Simple Class of Multivariate GARCH Models
- A Simple Long Memory Model of Realized Volatility
- The distribution of realized stock return volatility
- Econometric Analysis of Realised Covariation: High Frequency Covariance, Regression and Correlation in Financial Economics
Their papers
- Forecasting crude oil market volatility: Further evidence using GARCH-class models (2010) — 383 citations
- Measuring contagion between energy market and stock market during financial crisis: A copula approach (2012) — 267 citations
- Detrended fluctuation analysis on spot and futures markets of West Texas Intermediate crude oil (2011) — 130 citations
- Cross-correlations between Chinese A-share and B-share markets (2010) — 170 citations
- Some q‐rung orthopair fuzzy Heronian mean operators in multiple attribute decision making (2018) — 416 citations
- Forecasting volatility of SSEC in Chinese stock market using multifractal analysis (2008) — 69 citations
- The dependence and risk spillover between crude oil market and China stock market: New evidence from a variational mode decomposition-based copula method (2018) — 144 citations
- Forecasting realized volatility in a changing world: A dynamic model averaging approach (2016) — 276 citations
- How do the stock prices of new energy and fossil fuel companies correlate? Evidence from China (2014) — 179 citations
- Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty? (2017) — 238 citations
- Analysis of the efficiency and multifractality of gold markets based on multifractal detrended fluctuation analysis (2011) — 137 citations
- Forecasting VaR and ES of stock index portfolio: A Vine copula method (2014) — 56 citations
- Forecasting oil price volatility: Forecast combination versus shrinkage method (2019) — 151 citations
- Oil and the short-term predictability of stock return volatility (2018) — 199 citations
- Uncertainty and crude oil market volatility: new evidence (2020) — 147 citations
- Time-varying effects of global economic policy uncertainty shocks on crude oil price volatility:New evidence (2021) — 119 citations
- Geopolitical risk and renewable energy stock markets: An insight from multiscale dynamic risk spillover (2021) — 148 citations
- Infectious disease pandemic and permanent volatility of international stock markets: A long-term perspective (2020) — 212 citations
- Which sentiment index is more informative to forecast stock market volatility? Evidence from China (2020) — 145 citations
- Is implied volatility more informative for forecasting realized volatility: An international perspective (2020) — 110 citations