Report NEP-CMP-2020-04-20

This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stan 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:

• Mojtaba Nabipour & Pooyan Nayyeri & Hamed Jabani & Amir Mosavi, 2020. "Deep learning for Stock Market Prediction," Papers 2004.01497, arXiv.org.
• Natalia Turdyeva, 2019. "Effects Of Terms Of Trade Shocks On The Russian Economy," Bank of Russia Working Paper Series wps48, Bank of Russia.
• Piergiacomo Sabino, 2020. "Exact Simulation of Variance Gamma related OU processes: Application to the Pricing of Energy Derivatives," Papers 2004.06786, arXiv.org.
• Rui Fan & Oleksandr Talavera & Vu Tran, 2020. "Social media and price discovery: the case of cross-listed firms," Discussion Papers 20-05, Department of Economics, University of Birmingham.
• Thibaut Th'eate & Damien Ernst, 2020. "An Application of Deep Reinforcement Learning to Algorithmic Trading," Papers 2004.06627, arXiv.org, revised Oct 2020.
• Sven Husmann & Antoniya Shivarova & Rick Steinert, 2020. "Company classification using machine learning," Papers 2004.01496, arXiv.org, revised May 2020.
• Philip Ndikum, 2020. "Machine Learning Algorithms for Financial Asset Price Forecasting," Papers 2004.01504, arXiv.org.
• Amir Mosavi & Pedram Ghamisi & Yaser Faghan & Puhong Duan, 2020. "Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics," Papers 2004.01509, arXiv.org.
• Jonathan Sadighian, 2020. "Extending Deep Reinforcement Learning Frameworks in Cryptocurrency Market Making," Papers 2004.06985, arXiv.org.
• Ye-Sheen Lim & Denise Gorse, 2020. "Deep Probabilistic Modelling of Price Movements for High-Frequency Trading," Papers 2004.01498, arXiv.org.
• Jim Samuel, 2020. "Information Token Driven Machine Learning for Electronic Markets: Performance Effects in Behavioral Financial Big Data Analytics," Papers 2004.06642, arXiv.org.
• Hannes Wallimann & David Imhof & Martin Huber, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," Papers 2004.05629, arXiv.org.
• Carol Alexander & Xiaochun Meng & Wei Wei, 2020. "Targetting Kollo Skewness with Random Orthogonal Matrix Simulation," Papers 2004.06586, arXiv.org, revised Sep 2021.
• Jonghyeon Min, 2020. "Financial Market Trend Forecasting and Performance Analysis Using LSTM," Papers 2004.01502, arXiv.org.
• Ioannis Boukas & Damien Ernst & Thibaut Th'eate & Adrien Bolland & Alexandre Huynen & Martin Buchwald & Christelle Wynants & Bertrand Corn'elusse, 2020. "A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding," Papers 2004.05940, arXiv.org.
• Bekkers, Eddy & Schroeter, Sofia, 2020. "An economic analysis of the US-China trade conflict," WTO Staff Working Papers ERSD-2020-04, World Trade Organization (WTO), Economic Research and Statistics Division.
• Fittje, Jens & Wagner, Helmut, 2020. "Networking topography and default contagion in China’s financial system," CEAMeS Discussion Paper Series 17/2020, University of Hagen, Center for East Asia Macro-economic Studies (CEAMeS).
• Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph E. Stiglitz & Tania Treibich, 2020. "Rational Heuristics? Expectations and Behaviors in Evolving Economies with Heterogeneous Interacting Agents," NBER Working Papers 26922, National Bureau of Economic Research, Inc.
• Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2020. "Manipulation-Proof Machine Learning," Papers 2004.03865, arXiv.org.
• Vijay V. Vazirani & Mihalis Yannakakis, 2020. "Computational Complexity of the Hylland-Zeckhauser Scheme for One-Sided Matching Markets," Papers 2004.01348, arXiv.org, revised Apr 2020.
• Shantanu Bagchi & Juergen Jung, 2020. "Health Risk and the Welfare Effects of Social Security," Working Papers 2020-02, Towson University, Department of Economics, revised Jul 2022.
• Ayoubi, Charles & Barbosu, Sandra & Pezzoni, Michele & Visentin, Fabiana, 2020. "What matters in funding: The value of research coherence and alignment in evaluators' decisions," MERIT Working Papers 2020-010, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
• Alessandro Sforza & Marina Steininger, 2020. "Globalization in the Time of Covid-19," CESifo Working Paper Series 8184, CESifo.
• Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harre, 2020. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model," Papers 2004.07571, arXiv.org.
• Antoine Bozio & Simon Rabaté & Audrey Rain & Maxime Tô, 2019. "How should a points pension system be managed?," Post-Print halshs-02516413, HAL.