Printed from https://ideas.repec.org/n/nep-big/2022-07-11.html
Report NEP-BIG-2022-07-11
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:
- Farhat Chowdhury & Albert Link & Martijn van Hasselt, 2022, "The Spatial Distribution of Public Support for AI Research," UNCG Economics Working Papers, University of North Carolina at Greensboro, Department of Economics, number 22-4, Jun.
- Marc Schmitt, 2022, "Deep Learning in Business Analytics: A Clash of Expectations and Reality," Papers, arXiv.org, number 2205.09337, May, revised Jun 2025.
- Tsang, Andrew, 2021, "Uncovering Heterogeneous Regional Impacts of Chinese Monetary Policy," WiSo-HH Working Paper Series, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory, number 62.
- Nicole Koenigstein, 2022, "Dynamic and Context-Dependent Stock Price Prediction Using Attention Modules and News Sentiment," Papers, arXiv.org, number 2205.01639, Mar.
- Ziyu Wang & Yuhao Zhou & Jun Zhu, 2022, "Fast Instrument Learning with Faster Rates," Papers, arXiv.org, number 2205.10772, May, revised Oct 2022.
- Item repec:nsr:escoet:escoe-tr-12 is not listed on IDEAS anymore
- Raphael P. B. Piovezan & Pedro Paulo de Andrade Junior, 2022, "Machine learning method for return direction forecasting of Exchange Traded Funds using classification and regression models," Papers, arXiv.org, number 2205.12746, May, revised Jun 2022.
- Item repec:nsr:escoet:escoe-tr-15 is not listed on IDEAS anymore
- German Rodikov & Nino Antulov-Fantulin, 2022, "Volatility-inspired $\sigma$-LSTM cell," Papers, arXiv.org, number 2205.07022, May.
- Sung Jae Jun & Sokbae Lee, 2022, "Average Adjusted Association: Efficient Estimation with High Dimensional Confounders," Papers, arXiv.org, number 2205.14048, May, revised Apr 2023.
- Syed Abul, Basher & Perry, Sadorsky, 2022, "Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?," MPRA Paper, University Library of Munich, Germany, number 113293, Jun.
- Philipp Ratz, 2022, "Nonparametric Value-at-Risk via Sieve Estimation," Papers, arXiv.org, number 2205.07101, May.
- Farhat Chowdhury & Albert Link & Martijn van Hasselt, 2022, "Public Support for Research in Artificial Intelligence: A Descriptive Study of U.S. Department of Defense SBIR Projects," UNCG Economics Working Papers, University of North Carolina at Greensboro, Department of Economics, number 22-3, Jun.
- Item repec:nsr:escoet:escoe-tr-16 is not listed on IDEAS anymore
- Oksana Bashchenko, 2022, "Bitcoin Price Factors: Natural Language Processing Approach," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 22-48, May.
- Nicolas Boursin & Carl Remlinger & Joseph Mikael & Carol Anne Hargreaves, 2022, "Deep Generators on Commodity Markets; application to Deep Hedging," Papers, arXiv.org, number 2205.13942, May.
- Surbhi Bhatia & Manish K. Singh, 2022, "Fifty years since Altman (1968): Performance of financial distress prediction models," Working Papers, xKDR, number 12, Jun.
- Item repec:nsr:escoet:escoe-tr-19 is not listed on IDEAS anymore
- Item repec:nsr:escoet:escoe-tr-18 is not listed on IDEAS anymore