Report NEP-BIG-2019-01-14

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2018. "An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?," Discussion Papers 48/2018, Deutsche Bundesbank.
• Kim, Moon-Koo & Park, Jong-Hyun & Lee, Duk Hee, 2018. "Antecedents and consequences of individuals' trust formation in artificial intelligence in Korea," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190390, International Telecommunications Society (ITS).
• Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2019. "Racing With or Against the Machine? Evidence from Europe," IZA Discussion Papers 12063, Institute of Labor Economics (IZA).
• Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," Economics Working Paper Series 1901, University of St. Gallen, School of Economics and Political Science.
• Reaz Chowdhury & M. R. C. Mahdy & Tanisha Nourin Alam & Golam Dastegir Al Quaderi, 2018. "Predicting the Stock Price of Frontier Markets Using Modified Black-Scholes Option Pricing Model and Machine Learning," Papers 1812.10619, arXiv.org.
• Achref Bachouch & Côme Huré & Nicolas Langrené & Huyen Pham, 2019. "Deep neural networks algorithms for stochastic control problems on finite horizon: numerical applications," Working Papers hal-01949221, HAL.
• Mubashir Qasim, 2019. "Sustainability and Wellbeing: A Text Analysis of New Zealand Parliamentary Debates, Official Yearbooks and Ministerial Documents," Working Papers in Economics 19/01, University of Waikato.
• Dominik Gutt, 2018. "In the Eye of the Beholder? Empirically Decomposing Different Economic Implications of the Online Rating Variance," Working Papers Dissertations 40, Paderborn University, Faculty of Business Administration and Economics.
• Abu Taher, Sheikh & Uddin, Md. Kama, 2018. "Use of big data in financial sector of Bangladesh – A review," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190348, International Telecommunications Society (ITS).
• Miyazaki, Kumiko & Sato & Ryusuke, 2018. "Adoption of AI in Firms and the Issues to be Overcome - An Empirical Analyses of the Evolutionary Path of Development by Firms," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190377, International Telecommunications Society (ITS).
• Elias Cavalcante-Filho & Flavio Abdenur, Rodrigo De Losso, 2018. "Machine learning applied to accounting variables yields the risk-return metrics of private company portfolios," Working Papers, Department of Economics 2018_23, University of São Paulo (FEA-USP).
• Marcelo Sardelich & Suresh Manandhar, 2018. "Multimodal deep learning for short-term stock volatility prediction," Papers 1812.10479, arXiv.org.
• William Irungu Nganga & Julien Chevallier & Simon Wagura Ndiritu, 2018. "Regime changes and fiscal sustainability in Kenya with comparative nonlinear Granger causalities across East-African countries," Working Papers halshs-01941226, HAL.
• Lael Brainard, 2018. "What Are We Learning about Artificial Intelligence in Financial Services?: a speech at Fintech and the New Financial Landscape, Philadelphia, Pennsylvania," Speech 1021, Board of Governors of the Federal Reserve System (U.S.).
• Neng-Chieh Chang, 2018. "Semiparametric Difference-in-Differences with Potentially Many Control Variables," Papers 1812.10846, arXiv.org, revised Jan 2019.
• Adriano Koshiyama & Nick Firoozye & Philip Treleaven, 2019. "Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination," Papers 1901.01751, arXiv.org, revised Mar 2019.
• Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2018. "A $t$-test for synthetic controls," Papers 1812.10820, arXiv.org, revised Jan 2024.