Report NEP-CMP-2022-11-07

This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stanley Miles issued this report. It is usually issued weekly.

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Other reports in NEP-CMP

The following items were announced in this report:

• Ivan Letteri & Giuseppe Della Penna & Giovanni De Gasperis & Abeer Dyoub, 2022, "DNN-ForwardTesting: A New Trading Strategy Validation using Statistical Timeseries Analysis and Deep Neural Networks," Papers, arXiv.org, number 2210.11532, Oct.
• Andrew E. Clark & Conchita D'Ambrosio & Niccolo Gentile & Alexandre Tkatchenko, 2022, "What makes a satisfying life? Prediction and interpretation with machine-learning algorithms," CEP Discussion Papers, Centre for Economic Performance, LSE, number dp1853, Jun.
• Naseh Majidi & Mahdi Shamsi & Farokh Marvasti, 2022, "Algorithmic Trading Using Continuous Action Space Deep Reinforcement Learning," Papers, arXiv.org, number 2210.03469, Oct.
• Xinyu Li & Zihan Tang, 2022, "Sentiment Analysis on Inflation after Covid-19," Papers, arXiv.org, number 2209.14737, Sep, revised Dec 2022.
• Jianlong Zhu & Dan Xian & Fengxiao & Yichen Nie, 2022, "Embedding-based neural network for investment return prediction," Papers, arXiv.org, number 2210.00876, Sep.
• Hui Niu & Siyuan Li & Jian Li, 2022, "MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization," Papers, arXiv.org, number 2210.01774, Sep.
• Ekaterina Oparina & Caspar Kaiser & Niccolo Gentile & Alexandre Tkatchenko & Andrew E. Clark & Jan-Emmanuel De Neve & Conchita D'Ambrosio, 2022, "Human wellbeing and machine learning," CEP Discussion Papers, Centre for Economic Performance, LSE, number dp1863, Jul.
• A. N. M. Sajedul Alam & Junaid Bin Kibria & Arnob Kumar Dey & Zawad Alam & Shifat Zaman & Motahar Mahtab & Mohammed Julfikar Ali Mahbub & Annajiat Alim Rasel, 2022, "A Survey: Credit Sentiment Score Prediction," Papers, arXiv.org, number 2209.15293, Sep.
• P. D. Hinds & M. V. Tretyakov, 2022, "Neural variance reduction for stochastic differential equations," Papers, arXiv.org, number 2209.12885, Sep, revised May 2023.
• Barzin,Samira & Avner,Paolo & Maruyama Rentschler,Jun Erik & O’Clery,Neave, 2022, "Where Are All the Jobs ? A Machine Learning Approach for High Resolution Urban Employment Prediction inDeveloping Countries," Policy Research Working Paper Series, The World Bank, number 9979, Mar.
• Emanuel Kohlscheen, 2022, "Quantifying the role of interest rates, the Dollar and Covid in oil prices," BIS Working Papers, Bank for International Settlements, number 1040, Sep.
• Xenxo Vidal-Llana & Carlos Salort Sánchez & Vincenzo Coia & Montserrat Guillen, 2022, ""Non-Crossing Dual Neural Network: Joint Value at Risk and Conditional Tail Expectation estimations with non-crossing conditions"," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 202215, Oct, revised Oct 2022.
• Zakarya Laghzal & Lamya Temnati, 2022, "Using Machine Learning to Promote Proactive Human Resources Management: A Case Study
  [L'utilisation du machine Learning pour favoriser la gestion proactive des ressources humaines : Etude de cas]," Post-Print, HAL, number hal-03787323, May, DOI: 10.5281/zenodo.6582612.
• Filmer,Deon P. & Nahata,Vatsal & Sabarwal,Shwetlena, 2021, "Preparation, Practice, and Beliefs : A Machine Learning Approach to Understanding Teacher Effectiveness," Policy Research Working Paper Series, The World Bank, number 9847, Nov.
• Mizue SHIMOMURA & Alexander Ryota KEELEY & Ken'ichi MATSUMOTO & Kenta TANAKA & Shunsuke MANAGI, 2022, "Impact of the Rapid Expansion of Renewable Energy on Electricity Market Price: Using machine learning and shapley additive explanation," Discussion papers, Research Institute of Economy, Trade and Industry (RIETI), number 22090, Sep.
• Nelson Vadori & Leo Ardon & Sumitra Ganesh & Thomas Spooner & Selim Amrouni & Jared Vann & Mengda Xu & Zeyu Zheng & Tucker Balch & Manuela Veloso, 2022, "Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations," Papers, arXiv.org, number 2210.07184, Oct, revised Aug 2023.
• Chao LI & Shunsuke MANAGI, 2022, "Impact of the Rapid Expansion of Renewable Energy on Electricity Market Price: Using machine learning and shapley additive explanation," Discussion papers, Research Institute of Economy, Trade and Industry (RIETI), number 22093, Sep.
• Michael Adam, 2022, "Potential Applications of Quantum Computing for the Insurance Industry," Papers, arXiv.org, number 2210.06172, Oct.

Report NEP-CMP-2022-11-07

This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stanley Miles issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon, or Bluesky.

Other reports in NEP-CMP

The following items were announced in this report: