Gangjin Wang
Economics and Econometrics · 2013–2020
A researcher in the Science corpus: 9 papers; trusts 64 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 182 citations into it; #22,724 of 23,481 by trust here, #7,584 by citations
- Finance — 99 citations into it; #10,349 of 10,518 by trust here, #6,960 by citations
- Information Systems — 55 citations into it
- Statistical and Nonlinear Physics — 39 citations into it
- Accounting — 20 citations into it
- Condensed Matter Physics — 10 citations into it
- Artificial Intelligence — 9 citations into it
- Molecular Biology — 8 citations into it
Whom Gangjin Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Boginski
- Jukka-Pekka Onnela
- Yongmiao Hong
- Boris Podobnik
- Wei‐Xing Zhou
- Joseph B. Kruskal
- Michele Tumminello
- Francis X. Diebold
- H. Eugene Stanley
- L. Laloux
Who trusts Gangjin Wang overall
Papers from Gangjin Wang's perspective
Ordered by how strongly the researchers Gangjin Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized autoregressive conditional heteroskedasticity
- Collective dynamics of ‘small-world’ networks
- Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors
- Investigating causal relations by econometric models and cross-spectral methods
- Statistical analysis of financial networks (Computational Statistics & Data Analysis)
- Dynamics of market correlations: taxonomy and portfolio analysis. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- A tool for filtering information in complex systems. (Proceedings of the National Academy of Sciences of the United States of America)
- Detrended cross-correlation analysis: a new method for analyzing two nonstationary time series. (Physical Review Letters)
- Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation
- Random matrix approach to cross correlations in financial data. (Physical review. E, Statistical, nonlinear, and soft matter physics)
Their papers
- Volatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency? (2018) — 393 citations
- Extreme risk spillover network: application to financial institutions (2017) — 251 citations
- Random matrix theory analysis of cross-correlations in the US stock market: Evidence from Pearson’s correlation coefficient and detrended cross-correlation coefficient (2013) — 127 citations
- Are stablecoins truly diversifiers, hedges, or safe havens against traditional cryptocurrencies as their name suggests? (2020) — 148 citations
- Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach (2019) — 322 citations
- Risk spillovers between oil and stock markets: A VAR for VaR analysis (2019) — 118 citations
- When Bitcoin meets economic policy uncertainty (EPU): Measuring risk spillover effect from EPU to Bitcoin (2019) — 230 citations
- Interconnectedness and systemic risk of China's financial institutions (2017) — 211 citations
- Correlation structure and dynamics of international real estate securities markets: A network perspective (2015) — 70 citations