Yield Curve Forecasting using Machine Learning and Econometrics: A Comparative Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Singh, Aman, Ogunfunmi, Tokunbo, Das, Sanjiv |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Differentially Private Online Distributed Aggregative Games With Time-Varying and Non-Identical Communication and Feedback Delays
by: Odeyomi, Olusola, et al.
Published: (2025)
by: Odeyomi, Olusola, et al.
Published: (2025)
Multivariate Financial Forecasting using the Chronos Time Series Foundation Models
by: Das, Sanjiv R, et al.
Published: (2026)
by: Das, Sanjiv R, et al.
Published: (2026)
Comparative Analysis of Modern Machine Learning Models for Retail Sales Forecasting
by: Hobor, Luka, et al.
Published: (2025)
by: Hobor, Luka, et al.
Published: (2025)
Comparative Analysis on Snowmelt-Driven Streamflow Forecasting Using Machine Learning Techniques
by: Thapa, Ukesh, et al.
Published: (2024)
by: Thapa, Ukesh, et al.
Published: (2024)
A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
by: Ahmed, Forkan Uddin, et al.
Published: (2024)
by: Ahmed, Forkan Uddin, et al.
Published: (2024)
Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks
by: Chen, Qiang, et al.
Published: (2025)
by: Chen, Qiang, et al.
Published: (2025)
Large Language Models: An Applied Econometric Framework
by: Ludwig, Jens, et al.
Published: (2024)
by: Ludwig, Jens, et al.
Published: (2024)
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
by: Singhal, Ronit, et al.
Published: (2024)
by: Singhal, Ronit, et al.
Published: (2024)
PPLqa: An Unsupervised Information-Theoretic Quality Metric for Comparing Generative Large Language Models
by: Friedland, Gerald, et al.
Published: (2024)
by: Friedland, Gerald, et al.
Published: (2024)
MIR: Methodology Inspiration Retrieval for Scientific Research Problems
by: Garikaparthi, Aniketh, et al.
Published: (2025)
by: Garikaparthi, Aniketh, et al.
Published: (2025)
Reasoning or Rhetoric? An Empirical Analysis of Moral Reasoning Explanations in Large Language Models
by: Kasat, Aryan, et al.
Published: (2026)
by: Kasat, Aryan, et al.
Published: (2026)
A Comparative Study of Machine Learning Models for Hourly Forecasting of Air Temperature and Relative Humidity
by: Dong, Jiaqi
Published: (2026)
by: Dong, Jiaqi
Published: (2026)
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality
by: Dudek, Grzegorz
Published: (2025)
by: Dudek, Grzegorz
Published: (2025)
TRACEALIGN -- Tracing the Drift: Attributing Alignment Failures to Training-Time Belief Sources in LLMs
by: Das, Amitava, et al.
Published: (2025)
by: Das, Amitava, et al.
Published: (2025)
Forecasting Energy Consumption using Recurrent Neural Networks: A Comparative Analysis
by: Maity, Abhishek, et al.
Published: (2026)
by: Maity, Abhishek, et al.
Published: (2026)
Optimizing Coverage-Driven Verification Using Machine Learning and PyUVM: A Novel Approach
by: Kumari, Suruchi, et al.
Published: (2025)
by: Kumari, Suruchi, et al.
Published: (2025)
A Three-Phase Analysis of Synergistic Effects During Co-pyrolysis of Algae and Wood for Biochar Yield Using Machine Learning
by: Chakrabarti, Subhadeep, et al.
Published: (2024)
by: Chakrabarti, Subhadeep, et al.
Published: (2024)
Agent-Based Post-Hoc Correction of Agricultural Yield Forecasts
by: Beddows, Matthew, et al.
Published: (2026)
by: Beddows, Matthew, et al.
Published: (2026)
The Battle of LLMs: A Comparative Study in Conversational QA Tasks
by: Rangapur, Aryan, et al.
Published: (2024)
by: Rangapur, Aryan, et al.
Published: (2024)
LAuReL: Learned Augmented Residual Layer
by: Menghani, Gaurav, et al.
Published: (2024)
by: Menghani, Gaurav, et al.
Published: (2024)
Enhancing Project Performance Forecasting using Machine Learning Techniques
by: Sadeghi, Soheila
Published: (2024)
by: Sadeghi, Soheila
Published: (2024)
Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
by: Miranda, Miro, et al.
Published: (2024)
by: Miranda, Miro, et al.
Published: (2024)
Accelerated Online Reinforcement Learning using Auxiliary Start State Distributions
by: Mehra, Aman, et al.
Published: (2025)
by: Mehra, Aman, et al.
Published: (2025)
Bridging Econometrics and AI: VaR Estimation via Reinforcement Learning and GARCH Models
by: Pokou, Fredy, et al.
Published: (2025)
by: Pokou, Fredy, et al.
Published: (2025)
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
by: Gatmiry, Khashayar, et al.
Published: (2024)
by: Gatmiry, Khashayar, et al.
Published: (2024)
Pragmatic Formal Verification of Sequential Error Detection and Correction Codes (ECCs) used in Safety-Critical Design
by: Kumar, Aman
Published: (2024)
by: Kumar, Aman
Published: (2024)
YINYANG-ALIGN: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment
by: Das, Amitava, et al.
Published: (2025)
by: Das, Amitava, et al.
Published: (2025)
Harmonic Machine Learning Models are Robust
by: Kersting, Nicholas S., et al.
Published: (2024)
by: Kersting, Nicholas S., et al.
Published: (2024)
Music Genre Classification: A Comparative Analysis of Classical Machine Learning and Deep Learning Approaches
by: Prajuli, Sachin, et al.
Published: (2026)
by: Prajuli, Sachin, et al.
Published: (2026)
Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational Context
by: Das, Nilanjana, et al.
Published: (2024)
by: Das, Nilanjana, et al.
Published: (2024)
AlignGuard-LoRA: Alignment-Preserving Fine-Tuning via Fisher-Guided Decomposition and Riemannian-Geodesic Collision Regularization
by: Das, Amitava, et al.
Published: (2025)
by: Das, Amitava, et al.
Published: (2025)
Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection
by: Fajar, Abdullah, et al.
Published: (2024)
by: Fajar, Abdullah, et al.
Published: (2024)
AlignMerge - Alignment-Preserving Large Language Model Merging via Fisher-Guided Geometric Constraints
by: Roy, Aniruddha, et al.
Published: (2025)
by: Roy, Aniruddha, et al.
Published: (2025)
Matching Ranks Over Probability Yields Truly Deep Safety Alignment
by: Vega, Jason, et al.
Published: (2025)
by: Vega, Jason, et al.
Published: (2025)
Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data
by: Kammerlander, Calvin, et al.
Published: (2025)
by: Kammerlander, Calvin, et al.
Published: (2025)
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting
by: Koumar, Josef, et al.
Published: (2025)
by: Koumar, Josef, et al.
Published: (2025)
KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators
by: Singh, Ashutosh, et al.
Published: (2024)
by: Singh, Ashutosh, et al.
Published: (2024)
Comparing AI Algorithms for Optimizing Elliptic Curve Cryptography Parameters in e-Commerce Integrations: A Pre-Quantum Analysis
by: Tellez, Felipe, et al.
Published: (2023)
by: Tellez, Felipe, et al.
Published: (2023)
ECLIPTICA -- A Framework for Switchable LLM Alignment via CITA - Contrastive Instruction-Tuned Alignment
by: Wanaskar, Kapil, et al.
Published: (2026)
by: Wanaskar, Kapil, et al.
Published: (2026)
When Agents Disagree With Themselves: Measuring Behavioral Consistency in LLM-Based Agents
by: Mehta, Aman
Published: (2026)
by: Mehta, Aman
Published: (2026)
Similar Items
-
Differentially Private Online Distributed Aggregative Games With Time-Varying and Non-Identical Communication and Feedback Delays
by: Odeyomi, Olusola, et al.
Published: (2025) -
Multivariate Financial Forecasting using the Chronos Time Series Foundation Models
by: Das, Sanjiv R, et al.
Published: (2026) -
Comparative Analysis of Modern Machine Learning Models for Retail Sales Forecasting
by: Hobor, Luka, et al.
Published: (2025) -
Comparative Analysis on Snowmelt-Driven Streamflow Forecasting Using Machine Learning Techniques
by: Thapa, Ukesh, et al.
Published: (2024) -
A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
by: Ahmed, Forkan Uddin, et al.
Published: (2024)