Report NEP-CMP-2024-04-01

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:

• Vikranth Lokeshwar Dhandapani & Shashi Jain, 2024. "Neural Networks for Portfolio-Level Risk Management: Portfolio Compression, Static Hedging, Counterparty Credit Risk Exposures and Impact on Capital Requirement," Papers 2402.17941, arXiv.org.
• Victor Chernozhukov & Christian Hansen & Nathan Kallus & Martin Spindler & Vasilis Syrgkanis, 2024. "Applied Causal Inference Powered by ML and AI," Papers 2403.02467, arXiv.org.
• Ruoyu Sun & Angelos Stefanidis & Zhengyong Jiang & Jionglong Su, 2024. "Combining Transformer based Deep Reinforcement Learning with Black-Litterman Model for Portfolio Optimization," Papers 2402.16609, arXiv.org.
• Vikranth Lokeshwar Dhandapani & Shashi Jain, 2024. "Optimizing Neural Networks for Bermudan Option Pricing: Convergence Acceleration, Future Exposure Evaluation and Interpolation in Counterparty Credit Risk," Papers 2402.15936, arXiv.org.
• Ziyuan Ma & Conor Ryan & Jim Buckley & Muslim Chochlov, 2024. "Do Weibo platform experts perform better at predicting stock market?," Papers 2403.00772, arXiv.org.
• Pengfei Zhao & Haoren Zhu & Wilfred Siu Hung NG & Dik Lun Lee, 2024. "From GARCH to Neural Network for Volatility Forecast," Papers 2402.06642, arXiv.org.
• Hanshuang Tong & Jun Li & Ning Wu & Ming Gong & Dongmei Zhang & Qi Zhang, 2024. "Ploutos: Towards interpretable stock movement prediction with financial large language model," Papers 2403.00782, arXiv.org.
• Wentao Zhang & Lingxuan Zhao & Haochong Xia & Shuo Sun & Jiaze Sun & Molei Qin & Xinyi Li & Yuqing Zhao & Yilei Zhao & Xinyu Cai & Longtao Zheng & Xinrun Wang & Bo An, 2024. "A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist," Papers 2402.18485, arXiv.org, revised Jun 2024.
• Daniele Ballinari, 2024. "Calibrating doubly-robust estimators with unbalanced treatment assignment," Papers 2403.01585, arXiv.org, revised Jun 2024.
• Qishuo Cheng & Le Yang & Jiajian Zheng & Miao Tian & Duan Xin, 2024. "Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis," Papers 2402.15994, arXiv.org.
• Sylvain Barthélémy & Virginie Gautier & Fabien Rondeau, 2024. "Early warning system for currency crises using long short‐term memory and gated recurrent unit neural networks," Post-Print hal-04470367, HAL.
• Bryan Kelly & Boris Kuznetsov & Semyon Malamud & Teng Andrea Xu, 2024. "Large (and Deep) Factor Models," Papers 2402.06635, arXiv.org.
• Pierre Brugiere & Gabriel Turinici, 2024. "Transformer for Times Series: an Application to the S&P500," Papers 2403.02523, arXiv.org.
• Andrei Iakovlev & Annie Liang, 2024. "The Value of Context: Human versus Black Box Evaluators," Papers 2402.11157, arXiv.org, revised Jun 2024.
• Richard Schnorrenberger & Aishameriane Schmidt & Guilherme Valle Moura, 2024. "Harnessing Machine Learning for Real-Time Inflation Nowcasting," Working Papers 806, DNB.
• Adele Ravagnani & Fabrizio Lillo & Paola Deriu & Piero Mazzarisi & Francesca Medda & Antonio Russo, 2024. "Dimensionality reduction techniques to support insider trading detection," Papers 2403.00707, arXiv.org, revised May 2024.
• Giraldo, Carlos & Giraldo, Iader & Gomez-Gonzalez, Jose E. & Uribe, Jorge M., 2024. "High Frequency Monitoring of Credit Creation: A New Tool for Central Banks in Emerging Market Economies," Documentos de trabajo 21077, FLAR.
• Jiajian Zheng & Duan Xin & Qishuo Cheng & Miao Tian & Le Yang, 2024. "The Random Forest Model for Analyzing and Forecasting the US Stock Market in the Context of Smart Finance," Papers 2402.17194, arXiv.org.
• John D. Huber & Laura Mayoral, 2024. "Economic Development in Pixels: The Limitations of Nightlights and New Spatially Disaggregated Measures of Consumption and Poverty," Working Papers 1433, Barcelona School of Economics.
• Antonis Papapantoleon & Jasper Rou, 2024. "A time-stepping deep gradient flow method for option pricing in (rough) diffusion models," Papers 2403.00746, arXiv.org.
• Zhuangwei Shi, 2024. "MambaStock: Selective state space model for stock prediction," Papers 2402.18959, arXiv.org.
• Mourelatos, Evangelos & Zervas, Panagiotis & Lagios, Dimitris & Tzimas, Giannis, 2024. "Can AI Bridge the Gender Gap in Competitiveness?," GLO Discussion Paper Series 1404, Global Labor Organization (GLO).
• ZHANG Meilian & YIN Ting & USUI Emiko & OSHIO Takashi & ZHANG Yi, 2024. "Unraveling the Determinants of Overemployment and Underemployment among Older Workers in Japan: A machine learning approach," Discussion papers 24034, Research Institute of Economy, Trade and Industry (RIETI).
• Deepeka Garg & Benjamin Patrick Evans & Leo Ardon & Annapoorani Lakshmi Narayanan & Jared Vann & Udari Madhushani & Makada Henry-Nickie & Sumitra Ganesh, 2024. "A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis," Papers 2402.17932, arXiv.org, revised Feb 2024.
• Reinking, Ernst & Becker, Marco, 2024. "Large language models and proprietary data - More accurate query results thanks to efficient data management and improved technical processes," EconStor Preprints 285307, ZBW - Leibniz Information Centre for Economics.
• Lijia Ma & Xingchen Xu & Yong Tan, 2024. "Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based Search Engines," Papers 2402.19421, arXiv.org.
• Alexander Cuntz & Carsten Fink & Hansueli Stamm, 2024. "Artificial Intelligence and Intellectual Property : An Economic Perspective," WIPO Economic Research Working Papers 77, World Intellectual Property Organization - Economics and Statistics Division.
• Emiliano Alvarez & Volker Grimm, 2024. "The added value of using the ODD Protocol for agent-based modeling in Economics: go for it!," Working Papers 307, Red Nacional de Investigadores en Economía (RedNIE).
• Mi Zhou & Vibhanshu Abhishek & Timothy Derdenger & Jaymo Kim & Kannan Srinivasan, 2024. "Bias in Generative AI," Papers 2403.02726, arXiv.org.
• Nozomu Kobayashi & Yoshiyuki Suimon & Koichi Miyamoto, 2024. "Time series generation for option pricing on quantum computers using tensor network," Papers 2402.17148, arXiv.org.
• S. Alex Yang & Angela Huyue Zhang, 2024. "Generative AI and Copyright: A Dynamic Perspective," Papers 2402.17801, arXiv.org.
• Konark Jain & Nick Firoozye & Jonathan Kochems & Philip Treleaven, 2024. "Limit Order Book Simulations: A Review," Papers 2402.17359, arXiv.org, revised Mar 2024.