Report NEP-BIG-2021-05-31

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé (Tom Coupe) 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:

• Martin Hofer & Tomas Sako & Arturo Martinez, Jr. & Mildred Addawe & Ron Lester Durante, 2020, "Applying Artificial Intelligence on Satellite Imagery to Compile Granular Poverty Statistics," ADB Economics Working Paper Series, Asian Development Bank, number 629, Dec.
• Nattapong Puttanapong & Arturo Martinez, Jr. & Mildred Addawe & Joseph Bulan & Ron Lester Durante & Marymell Martillan, 2020, "Predicting Poverty Using Geospatial Data in Thailand," ADB Economics Working Paper Series, Asian Development Bank, number 630, Dec.
• Zihao Zhang & Stefan Zohren, 2021, "Multi-Horizon Forecasting for Limit Order Books: Novel Deep Learning Approaches and Hardware Acceleration using Intelligent Processing Units," Papers, arXiv.org, number 2105.10430, May, revised Aug 2021.
• Tim Leung & Theodore Zhao, 2021, "Financial Time Series Analysis and Forecasting with HHT Feature Generation and Machine Learning," Papers, arXiv.org, number 2105.10871, May.
• Xin Jin, 2021, "Can we imitate the principal investor's behavior to learn option price?," Papers, arXiv.org, number 2105.11376, May, revised Jan 2022.
• Ozan Aksoy, 2021, "Preaching to Social Media: Turkey’s Friday Khutbas and Their Effects on Twitter," DoQSS Working Papers, Quantitative Social Science - UCL Social Research Institute, University College London, number 21-17, May.
• Item repec:esm:wpaper:esmt-20-01_r2 is not listed on IDEAS anymore

• Zeinab Rouhollahi, 2021, "Towards Artificial Intelligence Enabled Financial Crime Detection," Papers, arXiv.org, number 2105.10866, May.
• Kok Fong See & Shawna Grosskopf & Vivian Valdmanis & Valentin Zelenyuk, 2021, "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series, School of Economics, University of Queensland, Australia, number WP072021, May.
• Yong Shi & Wei Dai & Wen Long & Bo Li, 2021, "Deep Kernel Gaussian Process Based Financial Market Predictions," Papers, arXiv.org, number 2105.12293, May.
• Joan Huang & John Simon, 2021, "Central Bank Communication: One Size Does Not Fit All," RBA Research Discussion Papers, Reserve Bank of Australia, number rdp2021-05, May, DOI: 10.47688/rdp2021-05.
• Laeven, Luc & Boot, Arnoud & Hoffmann, Peter & Ratnovski, Lev, 2020, "Financial Intermediation and Technology: What’s Old, What’s New?," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15004, Jul.
• Sansone, Dario & Zhu, Anna, 2021, "Using Machine Learning to Create an Early Warning System for Welfare Recipients," IZA Discussion Papers, IZA Network @ LISER, number 14377, May.
• Bianchi, Francesco & Ludvigson, Sydney & Ma, Sai, 2020, "Belief Distortions and Macroeconomic Fluctuations," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15003, Jul.
• Longden, Elaine, 2021, "Predicting Nature of Default using Machine Learning Techniques," Other publications TiSEM, Tilburg University, School of Economics and Management, number e1d97882-8cf3-40a4-a82e-8.
• Jiongyan Zhang, 2020, "Research on Regional Urban Economic Development by Nightlight-time Remote Sensing," Papers, arXiv.org, number 2105.10459, Nov.
• Haozhe Su & M. V. Tretyakov & David P. Newton, 2021, "Deep learning of transition probability densities for stochastic asset models with applications in option pricing," Papers, arXiv.org, number 2105.10467, May, revised Jul 2023.
• Aspachs, Oriol & Durante, Ruben & Graziano, Alberto & Mestres, Josep & García-Montalvo, José & Reynal-Querol, Marta, 2022, "Real-Time Inequality and the Welfare State in Motion: Evidence from COVID-19 in Spain," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15118, Jan.
• El Youssefi Ahmed & Abdelahad Chraibi & Julien Taillard & Ahlame Begdouri, 2020, "Extraction of measurements from medical reports," Post-Print, HAL, number hal-03229520, Oct.
• Timothy DeLise, 2021, "Neural Options Pricing," Papers, arXiv.org, number 2105.13320, May.

Report NEP-BIG-2021-05-31

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

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

Other reports in NEP-BIG

The following items were announced in this report: