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[1] Structural robustness of the international food supply network under external shocks and its determinants
外部冲击下国际粮食供应网络的结构稳健性及其决定因素
来源:ARXIV_20250415
[2] Integrated GARCH GRU in Financial Volatility Forecasting
金融波动预测中的GARCH GRU集成
来源:ARXIV_20250415
[3] Predicting Children s Travel Modes for School Journeys in Switzerland
瑞士儿童学校旅行的旅行模式预测
来源:ARXIV_20250415
[4] Can Large Language Models Trade Testing Financial Theories with LLM Agents in Market Simulations
大型语言模型能否在市场模拟中与LLM代理交换测试金融理论
来源:ARXIV_20250416
[5] Multi Agent Reinforcement Learning for Greenhouse Gas Offset Credit Markets
温室气体抵消信贷市场的多智能体强化学习
来源:ARXIV_20250416
[6] Discrimination free Insurance Pricing with Privatized Sensitive Attributes
具有私有化敏感属性的无歧视保险定价
来源:ARXIV_20250417
[7] Classification Based Analysis of Price Pattern Differences Between Cryptocurrencies and Stocks
基于分类的加密货币与股票价格模式差异分析
来源:ARXIV_20250418
[1] Structural robustness of the international food supply network under external shocks and its determinants
标题:外部冲击下国际粮食供应网络的结构稳健性及其决定因素
作者:Han-Yu Zhu, Yin-Ting Zhang, Wen-Jie Xie, Wei-Xing Zhou
来源:ARXIV_20250415
Abstract : The stability of the global food supply network is critical for ensuring food security. This study constructs an aggregated international food supply network based on the trade data of four staple crops and evaluates its structural robustness through network integrity under accumulating external shocks. Network integrity is typically quantified in network science by the relative size of the largest connected component,......(摘要翻译及全文见知识星球)
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[2] Integrated GARCH GRU in Financial Volatility Forecasting
标题:金融波动预测中的GARCH GRU集成
作者:Jingyi Wei, Steve Yang, Zhenyu Cui
来源:ARXIV_20250415
Abstract : In this study, we propose a novel integrated Generalized Autoregressive Conditional Heteroskedasticity Gated Recurrent Unit (GARCH GRU) model for financial volatility modeling and forecasting. The model embeds the GARCH(1,1) formulation directly into the GRU cell architecture, yielding a unified recurrent unit that jointly captures both traditional econometric properties and complex temporal dynamics. This hybrid structure leverages the strengths of GARCH in......(摘要翻译及全文见知识星球)
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[3] Predicting Children s Travel Modes for School Journeys in Switzerland
标题:瑞士儿童学校旅行的旅行模式预测
作者:Hannes Wallimann, Noah Balthasar
来源:ARXIV_20250415
Abstract : Children s travel behavior plays a critical role in shaping long term mobility habits and public health outcomes. Despite growing global interest, little is known about the factors influencing travel mode choice of children for school journeys in Switzerland. This study addresses this gap by applying a random forest classifier a machine learning algorithm to data from......(摘要翻译及全文见知识星球)
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[4] Can Large Language Models Trade Testing Financial Theories with LLM Agents in Market Simulations
标题:大型语言模型能否在市场模拟中与LLM代理交换测试金融理论
作者:Alejandro Lopez-Lira
来源:ARXIV_20250416
Abstract : This paper presents a realistic simulated stock market where large language models (LLMs) act as heterogeneous competing trading agents. The open source framework incorporates a persistent order book with market and limit orders, partial fills, dividends, and equilibrium clearing alongside agents with varied strategies, information sets, and endowments. Agents submit standardized decisions using structured outputs and function calls while expressing their......(摘要翻译及全文见知识星球)
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[5] Multi Agent Reinforcement Learning for Greenhouse Gas Offset Credit Markets
标题:温室气体抵消信贷市场的多智能体强化学习
作者:Liam Welsh, Udit Grover, Sebastian Jaimungal
来源:ARXIV_20250416
Abstract : Climate change is a major threat to the future of humanity, and its impacts are being intensified by excess man made greenhouse gas emissions. One method governments can employ to control these emissions is to provide firms with emission limits and penalize any excess emissions above the limit. Excess emissions may also be offset by firms who choose to invest in......(摘要翻译及全文见知识星球)
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[6] Discrimination free Insurance Pricing with Privatized Sensitive Attributes
标题:具有私有化敏感属性的无歧视保险定价
作者:Tianhe Zhang, Suhan Liu, Peng Shi
来源:ARXIV_20250417
Abstract : Fairness has emerged as a critical consideration in the landscape of machine learning algorithms, particularly as AI continues to transform decision making across societal domains. To ensure that these algorithms are free from bias and do not discriminate against individuals based on sensitive attributes such as gender and race, the field of algorithmic bias has introduced various fairness concepts, along with......(摘要翻译及全文见知识星球)
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[7] Classification Based Analysis of Price Pattern Differences Between Cryptocurrencies and Stocks
标题:基于分类的加密货币与股票价格模式差异分析
作者:Yu Zhang, Zelin Wu, Claudio Tessone
来源:ARXIV_20250418
Abstract : Cryptocurrencies are digital tokens built on blockchain technology, with thousands actively traded on centralized exchanges (CEXs). Unlike stocks, which are backed by real businesses, cryptocurrencies are recognized as a distinct class of assets by researchers. How do investors treat this new category of asset in trading Are they similar to stocks as an investment tool for investors We answer......(摘要翻译及全文见知识星球)
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