Standout Papers

Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 50... 2016 2026 2019 2022 348
  1. Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)
    Christopher Krauß, Nicolas Huck et al. European Journal of Operational Research

Immediate Impact

73 standout
Sub-graph 1 of 21

Citing Papers

Advanced hybrid LSTM-transformer architecture for real-time multi-task prediction in engineering systems
2024 Standout
Blockchain security enhancement: an approach towards hybrid consensus algorithms and machine learning techniques
2024 Standout
2 intermediate papers

Works of Nicolas Huck being referenced

Large data sets and machine learning: Applications to statistical arbitrage
2019
Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500
2016 Standout

Author Peers

Author Last Decade Papers Cites
Nicolas Huck 361 377 414 18 709
Andreas Karathanasopoulos 296 217 337 48 664
Petter N. Kolm 262 457 413 40 760
Panos Xidonas 202 235 438 53 735
Steve Y. Yang 283 335 309 43 587
Ming‐Chien Sung 281 182 219 41 632
Juho Kanniainen 267 273 252 73 660
Robert R. Trippi 270 319 274 40 845
Linda Ponta 547 166 151 43 848
Yulei Rao 195 162 394 24 657
Erick Meira 288 134 207 18 728

All Works

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2026