Xiangdong Long
Finance · 2009
A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Finance — 29 citations into it; #2,507 of 10,518 by trust here, #5,165 by citations
- Economics and Econometrics — 24 citations into it; #5,314 of 23,481 by trust here, #12,781 by citations
- Statistics and Probability — 14 citations into it; #5,705 of 12,932 by trust here, #10,275 by citations
- Management Science and Operations Research — 5 citations into it
Whom Xiangdong Long trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert F. Engle
- Halbert White
- Y. Tse
- Eugene F. Fama
- F. Longin
- Assaf J. Zeevi
- Denis Pelletier
- Q. Vuong
- Luc Bauwens
- Andrew Ang
Who trusts Xiangdong Long overall
- Teresa Serra
- Andrew J. Patton
- Brenda López Cabrera
- C. Gardebroek
- Ladislav Kristoufek
- Drew D. Creal
- Franziska Schulz
- D. Almeida
- M. Hernandez
- Karel Janda
Papers from Xiangdong Long's perspective
Ordered by how strongly the researchers Xiangdong Long trusts endorse each paper. Same corpus, a different order for every researcher.
- Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation
- Extreme Correlation of International Equity Markets
- A Reality Check for Data Snooping
- Asymptotic Inference about Predictive Ability
- Generalized autoregressive conditional heteroskedasticity
- Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH
- An Introduction to Copulas
- Asymmetric Correlations of Equity Portfolios
- A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model With Time-Varying Correlations
- Regime Switching for Dynamic Correlations
Their papers
- Copula-based multivariate GARCH model with uncorrelated dependent errors (2009) — 172 citations
- Estimation and Forecasting of Dynamic Conditional Covariance: A Semiparametric Multivariate Model (2009) — 56 citations