Song Wu

Economics and Econometrics · with Chen · 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

Whom Song Wu trusts

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

  1. Chih-Sheng Lin (in Management Science and Operations Research)
  2. Michael T. Cliff (in Finance)
  3. Gregory W. Brown (in Finance)
  4. Ping-Feng Pai (in Management Science and Operations Research)
  5. Chih-Fong Tsai (in Artificial Intelligence)
  6. Yu-Chieh Hsiao (in Artificial Intelligence)

Papers from Song Wu's perspective

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

  1. A fusion model of HMM, ANN and GA for stock market forecasting
  2. A hybrid ARIMA and support vector machines model in stock price forecasting
  3. Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (Decision Support Systems)
  4. Subjective Expectations and Asset-Return Puzzles
  5. Investor Sentiment and the Near-Term Stock Market
  6. High-Frequency Trading Strategy Based on Deep Neural Networks
  7. THE STATISTICAL MECHANICS OF FINANCIAL MARKETS
  8. Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (Expert systems with applications)
  9. A novel model by evolving partially connected neural network for stock price trend forecasting
  10. Forecasting seasonals and trends by exponentially weighted moving averages

Their papers