Report NEP-CMP-2019-03-11

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:

• Sima Siami-Namini & Akbar Siami Namin, 2018. "Forecasting Economics and Financial Time Series: ARIMA vs. LSTM," Papers 1803.06386, arXiv.org.
• Ludovic Gouden`ege & Andrea Molent & Antonino Zanette, 2019. "Gaussian Process Regression for Pricing Variable Annuities with Stochastic Volatility and Interest Rate," Papers 1903.00369, arXiv.org, revised Jul 2019.
• Rohan Arora & Chen Fan & Guillaume Ouellet Leblanc, 2019. "Liquidity Management of Canadian Corporate Bond Mutual Funds: A Machine Learning Approach," Staff Analytical Notes 2019-7, Bank of Canada.
• Michel Fliess & Cédric Join & Maria Bekcheva & Alireza Moradi & Hugues Mounier, 2019. "Easily implementable time series forecasting techniques for resource provisioning in cloud computing," Post-Print hal-02024835, HAL.
• Jin Sun & Ryle S. Perera & Pavel V. Shevchenko, 2019. "Optimal Investment-Consumption-Insurance with Durable and Perishable Consumption Goods in a Jump Diffusion Market," Papers 1903.00631, arXiv.org.
• Gustavo Fernandes Souza & Ana Flávia Machado & Edson Paulo Domingues, 2019. "Economic impacts of the vale-cultura (culture voucher): a computable general equilibrium model," Textos para Discussão Cedeplar-UFMG 595, Cedeplar, Universidade Federal de Minas Gerais.
• Fazlollah Soleymani & Andrey Itkin, 2019. "Pricing foreign exchange options under stochastic volatility and interest rates using an RBF--FD method," Papers 1903.00937, arXiv.org.
• Sara Moricz, 2019. "Using Artificial Intelligence to Recapture Norms: Did #metoo change gender norms in Sweden?," Papers 1903.00690, arXiv.org.
• Kyei, C. & Hassan, R., 2018. "The economy-wide implications of a tax policy to reduce water pollution: a case of the Olifants river basin, South Africa," 2018 Annual Conference, September 25-27, Cape Town, South Africa 284737, Agricultural Economics Association of South Africa (AEASA).
• Rob J Hyndman, 2019. "A Brief History of Forecasting Competitions," Monash Econometrics and Business Statistics Working Papers 3/19, Monash University, Department of Econometrics and Business Statistics.
• Kenichiro Shiraya & Hiroki Uenishi & Akira Yamazaki, 2019. "A General Control Variate Method for Lévy Models in Finance (Published in European Journal of Operational Research.)," CARF F-Series CARF-F-455, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, revised Jan 2020.
• Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," NBER Working Papers 25619, National Bureau of Economic Research, Inc.
• Elena Gubar & Edgar Javier Sanchez Carrera & Suriya Kumacheva & Ekaterina Zhitkova & Galina Tomilina, 2018. "Games and Network Structures on Corruption, Income Inequality, and Tax Control," Working Papers 1808, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2018.
• Jiun-Hua Su, 2019. "Model Selection in Utility-Maximizing Binary Prediction," Papers 1903.00716, arXiv.org, revised Jul 2020.
• Fos, Vyacheslav & Chinco, Alex, 2019. "The Sound Of Many Funds Rebalancing," CEPR Discussion Papers 13561, C.E.P.R. Discussion Papers.
• Hadi NekoeiQachkanloo & Benyamin Ghojogh & Ali Saheb Pasand & Mark Crowley, 2019. "Artificial Counselor System for Stock Investment," Papers 1903.00955, arXiv.org.
• D. S. Quevedo & C. J. Quimbay, 2019. "Piketty's second fundamental law of capitalism as an emergent property in a kinetic wealth-exchange model of economic growth," Papers 1903.00952, arXiv.org, revised Mar 2019.
• Miriam Steurer & Robert Hill, 2019. "Metrics for Evaluating the Performance of Automated Valuation Models," Graz Economics Papers 2019-02, University of Graz, Department of Economics.
• Dmitry I. Ivanov & Alexander S. Nesterov, 2019. "Stealed-bid Auctions: Detecting Bid Leakage via Semi-Supervised Learning," Papers 1903.00261, arXiv.org, revised Nov 2020.
• Sariev, Eduard & Germano, Guido, 2018. "An innovative feature selection method for support vector machines and its test on the estimation of the credit risk of default," LSE Research Online Documents on Economics 100211, London School of Economics and Political Science, LSE Library.