Jingyu He

Finance · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Finance — 10 citations into it; #6,201 of 10,518 by trust here, #9,725 by citations
• Economics and Econometrics — 7 citations into it
• Management Science and Operations Research — 6 citations into it; #6,720 of 11,946 by trust here, #10,893 by citations

Whom Jingyu He trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Carlos M. Carvalho
2. Hedibert Freitas Lopes
3. Ken West
4. Nicholas Barberis
5. Campbell R. Harvey
6. John Y. Campbell
7. Francis X. Diebold
8. David E. Rapach
9. S. Kozak
10. Guanhao Feng

Who trusts Jingyu He overall

1. Omer Berat Sezer
2. Luyang Chen

Papers from Jingyu He's perspective

Ordered by how strongly the researchers Jingyu He trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. This PDF file includes: Materials and Methods
3. Large Scale Distributed Deep Networks
4. Human-level concept learning through probabilistic program induction
5. A Comprehensive Look at the Empirical Performance of Equity Premium Prediction
6. Common risk factors in the returns on stocks and bonds
7. Factor stochastic volatility with time varying loadings and Markov switching regimes
8. Investing for the Long Run When Returns are Predictable
9. Supplementary Appendix for"Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"
10. Multilayer feedforward networks are universal approximators

Their papers

• Deep Learning for Predicting Asset Returns (2018) — 61 citations
• Regularization and confounding in linear regression for treatment effect estimation (2016) — 97 citations