Pengfei Wang
Economics and Econometrics · Finance Research Letters · 2018–2021
A researcher in the Science corpus: 7 papers; trusts 39 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 140 citations into it; #22,216 of 23,481 by trust here, #9,863 by citations
- Information Systems — 96 citations into it; #8,236 of 8,771 by trust here, #3,876 by citations
- Finance — 86 citations into it
- Sociology and Political Science — 11 citations into it
- Accounting — 5 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Pengfei Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Urquhart
- Tim Bollerslev
- Elie Bouri
- Torben G. Andersen
- A. H. Dyhrberg
- Ole E. Barndorff-Nielsen
- Aurelio Fernández Bariviera
- Shaen Corbet
- Fulvio Corsi
- Andrew J. Patton
Who trusts Pengfei Wang overall
Papers from Pengfei Wang's perspective
Ordered by how strongly the researchers Pengfei Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized autoregressive conditional heteroskedasticity
- The distribution of realized stock return volatility
- Common risk factors in the returns on stocks and bonds
- Some stylized facts of the Bitcoin market
- Measuring Downside Risk - Realised Semivariance
- A Simple Approximate Long-Memory Model of Realized Volatility
- The inefficiency of Bitcoin
- Intraday periodicity and volatility persistence in financial markets
- Dynamic Conditional Correlation
- Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility (Review of Economics and Statistics)
Their papers
- Some stylized facts of the cryptocurrency market (2018) — 164 citations
- Does twitter predict Bitcoin? (2019) — 329 citations
- Downside risk and the cross-section of cryptocurrency returns (2021) — 113 citations
- A three-factor pricing model for cryptocurrencies (2020) — 118 citations
- Forecasting the volatility of Bitcoin: The importance of jumps and structural breaks (2020) — 80 citations
- MAX Momentum in Cryptocurrency Markets (2020) — 49 citations
- Is cryptocurrency a hedge or a safe haven for international indices? A comprehensive and dynamic perspective (2019) — 151 citations