Report NEP-CMP-2020-12-07

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:

• Jorge Gonz'alez C'azares & Aleksandar Mijatovi'c, 2020. "Simulation of the drawdown and its duration in L\'{e}vy models via stick-breaking Gaussian approximation," Papers 2011.06618, arXiv.org, revised Mar 2021.
• Takayuki Sakuma, 2020. "Application of deep quantum neural networks to finance," Papers 2011.07319, arXiv.org, revised May 2022.
• Seyed Mohammad Sina Seyfi & Azin Sharifi & Hamidreza Arian, 2020. "Portfolio Risk Measurement Using a Mixture Simulation Approach," Papers 2011.07994, arXiv.org.
• Gabler, Janos & Raabe, Tobias & Röhrl, Klara, 2020. "People Meet People: A Microlevel Approach to Predicting the Effect of Policies on the Spread of COVID-19," IZA Discussion Papers 13899, Institute of Labor Economics (IZA).
• Doikov, Nikita & Nesterov, Yurii, 2020. "Affine-invariant contracting-point methods for Convex Optimization," LIDAM Discussion Papers CORE 2020029, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
• Alexey Averkin & Sergey Yarushev, 2020. "Deep Neural Networks and Neuro-Fuzzy Networks for Intellectual Analysis of Economic Systems," Papers 2011.05588, arXiv.org.
• Tao Chen & Jiyoun Myung, 2020. "Nonparametric Adaptive Bayesian Stochastic Control Under Model Uncertainty," Papers 2011.04804, arXiv.org, revised Mar 2022.
• Ao Kong & Robert Azencott & Hongliang Zhu & Xindan Li, 2020. "Pattern recognition in micro-trading behaviors before stock price jumps: A framework based on multivariate time series analysis," Papers 2011.04939, arXiv.org, revised Feb 2021.
• Oren Barkan & Jonathan Benchimol & Itamar Caspi & Eliya Cohen & Allon Hammer & Noam Koenigstein, 2020. "Forecasting CPI Inflation Components with Hierarchical Recurrent Neural Networks," Papers 2011.07920, arXiv.org, revised Feb 2022.
• Ben Hambly & Renyuan Xu & Huining Yang, 2020. "Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon," Papers 2011.10300, arXiv.org, revised Jun 2021.
• Máximo Camacho & Matías Pacce & Gabriel Pérez-Quirós, 2020. "Spillover effects in international business cycles," Working Papers 2034, Banco de España.
• Goutham Gopalakrishna, 2020. "Asset Pricing with Realistic Crises Dynamics," Swiss Finance Institute Research Paper Series 20-96, Swiss Finance Institute.
• Marcos Vin'icius dos Santos Ara'ujo, 2020. "Aplica\c{c}\~ao do Movimento Browniano Geom\'etrico para Simula\c{c}\~ao de Pre\c{c}os de A\c{c}\~oes do \'Indice Brasileiro de Small Caps," Papers 2011.08128, arXiv.org.
• Debnath, R. & Bardhan, R. & Darby, S. & Mohaddes, K. & Sunikka-Blank, M. & Coelho, A C V. & Isa, A., 2020. "A deep-narrative analysis of energy cultures in slum rehabilitation housing of Abuja, Mumbai and Rio de Janeiro for just policy design," Cambridge Working Papers in Economics 20101, Faculty of Economics, University of Cambridge.
• Melvyn Weeks & Tobias Gabel Christiansen, 2020. "Understanding the Distributional Aspects of Microcredit Expansions," Papers 2011.10509, arXiv.org.
• Jiang, Zehui & Liu, Chao & Ganapathysubramanian, Baskar & Hayes, Dermot J. & Sarkar, Soumik, 2020. "Predicting county-scale maize yields with publicly available data," ISU General Staff Papers 202009110700001775, Iowa State University, Department of Economics.
• Emanuela Ciapanna & Sauro Mocetti & Alessandro Notarpietro, 2020. "The effects of structural reforms: Evidence from Italy," Temi di discussione (Economic working papers) 1303, Bank of Italy, Economic Research and International Relations Area.
• Gurgone, Andrea & Iori, Giulia, 2020. "Macroprudential capital buffers in heterogeneous banking networks: Insights from an ABM with liquidity crises," BERG Working Paper Series 164, Bamberg University, Bamberg Economic Research Group.
• Jacopo Staccioli & Maria Enrica Virgillito, 2020. "Back to the past: the historical roots of labour-saving automation," LEM Papers Series 2020/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Ge, S., 2020. "Text-Based Linkages and Local Risk Spillovers in the Equity Market," Cambridge Working Papers in Economics 20115, Faculty of Economics, University of Cambridge.
• Ángel Iván Moreno & Teresa Caminero, 2020. "Application of text mining to the analysis of climate-related disclosures," Working Papers 2035, Banco de España.
• David Kohns & Arnab Bhattacharjee, 2019. "Interpreting Big Data in the Macro Economy: A Bayesian Mixed Frequency Estimator," CEERP Working Paper Series 010, Centre for Energy Economics Research and Policy, Heriot-Watt University.
• Jafari Kang, Masood & Zohoori, Sepideh & Abbasi, Elahe & Li, Yueqing & Hamidi, Maryam, 2019. "Predicting the price of second-hand vehicles using data mining techniques," MPRA Paper 103933, University Library of Munich, Germany.
• Michael T. Kiley, 2020. "Financial Conditions and Economic Activity: Insights from Machine Learning," Finance and Economics Discussion Series 2020-095, Board of Governors of the Federal Reserve System (U.S.).
• Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2020. "Nowcasting business cycle turning points with stock networks and machine learning," Working Paper Series 2494, European Central Bank.
• Yoshida, Kazuki & Mathur, Maya B & Glynn, Robert J., 2020. "Conducting Regression-based Causal Mediation Analysis Using the R Package "regmedint"," OSF Preprints 6c79f, Center for Open Science.
• Ferrari Minesso, Massimo & Pagliari, Maria Sole & Kurcz, Frederik, 2020. "Do words hurt more than actions? The impact of trade tensions on financial markets," Working Paper Series 2490, European Central Bank.
• Olga Takács & János Vincze, 2020. "The gender-dependent structure of wages in Hungary: results using machine learning techniques," CERS-IE WORKING PAPERS 2044, Institute of Economics, Centre for Economic and Regional Studies.