Jinwen Sun
Economics and Econometrics · 2017
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 10 citations into it
- Management Science and Operations Research — 10 citations into it
- Finance — 6 citations into it
Whom Jinwen Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jinwen Sun's perspective
Ordered by how strongly the researchers Jinwen Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- A fusion model of HMM, ANN and GA for stock market forecasting
- A hybrid ARIMA and support vector machines model in stock price forecasting
- Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (Decision Support Systems)
- Subjective Expectations and Asset-Return Puzzles
- Investor Sentiment and the Near-Term Stock Market
- High-Frequency Trading Strategy Based on Deep Neural Networks
- THE STATISTICAL MECHANICS OF FINANCIAL MARKETS
- Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (Expert systems with applications)
- A novel model by evolving partially connected neural network for stock price trend forecasting
- Forecasting seasonals and trends by exponentially weighted moving averages
Their papers
- A Double-Layer Neural Network Framework for High-Frequency Forecasting (2017) — 59 citations