Alexander Deinert

Economics and Econometrics · 2019

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Deinert trusts overall

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

  1. Nicolas Huck
  2. Christopher Krauss
  3. L. Takeuchi
  4. Isaac Madan
  5. Trevor J. Hastie
  6. Devavrat Shah
  7. Thomas G. Fischer

Papers from Alexander Deinert's perspective

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

  1. Random Forests
  2. Bagging Predictors
  3. The use of data mining and neural networks for forecasting stock market returns
  4. Forecasting Stock Indices: A Comparison of Classification and Level Estimation Models
  5. Bayesian regression and Bitcoin
  6. Statistical arbitrage pairs trading strategies: Review and outlook
  7. Pairs selection and outranking: An application to the S&P 100 index
  8. Applying Deep Learning to Enhance Momentum Trading Strategies in Stocks
  9. The elements of statistical learning: data mining, inference, and prediction, 2nd Edition
  10. The Random Subspace Method for Constructing Decision Forests

Their papers