Time Series Foundation Models for Multivariate Financial Time Series Forecasting | Paper Citation Record

Observation 8061b41b-9dd5-4323-839f-782ed8951645 · outbound

This paper cites A combination of artificial neural network and random walk models for financial time series forecasting,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting A combination of artificial neural network and random walk models for financial time series forecasting,

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This paper cites Financial time series forecasting: A comprehensive review of signal processing and optimization-driven intelligent models,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Financial time series forecasting: A comprehensive review of signal processing and optimization-driven intelligent models,

Reference 2

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This paper cites Makridakis, “Time series prediction: Forecasting the future and understanding the past andreas s.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Makridakis, “Time series prediction: Forecasting the future and understanding the past andreas s

Reference 3

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Observation bec6637e-4979-4d1b-9069-e6e6522c5eaa · outbound

This paper cites Forecasting economic time series using targeted predictors,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Forecasting economic time series using targeted predictors,

Reference 4

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Time Series Foundation Models for Multivariate Financial Time Series Forecasting Weather forecasting with ensemble methods,

Reference 5

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This paper cites Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders,

Reference 6

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Time Series Foundation Models for Multivariate Financial Time Series Forecasting Forecasting the future: A comprehensive review of time series prediction techniques,

Reference 7

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This paper cites Deep learning-based time series forecasting,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Deep learning-based time series forecasting,

Reference 8

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This paper cites Traffic flow prediction with big data: A deep learning approach,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Traffic flow prediction with big data: A deep learning approach,

Reference 9

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Time Series Foundation Models for Multivariate Financial Time Series Forecasting A deep learning based stock trading model with 2-d cnn trend detection,

Reference 10

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Time Series Foundation Models for Multivariate Financial Time Series Forecasting Convolutional neural networks for forex time series forecasting,

Reference 11

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This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 12

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Time Series Foundation Models for Multivariate Financial Time Series Forecasting Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Reference 13

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This paper cites Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks

Reference 14

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This paper cites Learning long-term dependencies with gradient descent is difficult,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Learning long-term dependencies with gradient descent is difficult,

Reference 15

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This paper cites On the difficulty of training recurrent neural networks,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting On the difficulty of training recurrent neural networks,

Reference 16

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This paper cites Building trend fuzzy granulation-based lstm recurrent neural network for long-term time-series forecasting,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Building trend fuzzy granulation-based lstm recurrent neural network for long-term time-series forecasting,

Reference 17

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This paper cites Assessment of deep recurrent neural network-based strategies for short-term building energy predictions,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Assessment of deep recurrent neural network-based strategies for short-term building energy predictions,

Reference 18

Resolution: verified exact; doi, observed 2026-08-06T18:49:35.549554Z

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Observation 4f5bade8-0cf9-4418-8ae8-2776dd3adb65 · outbound

This paper cites Attention Is All You Need.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Attention Is All You Need

Reference 19

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 20

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Observation e9dba748-ccec-4a99-ab6e-32f943acae96 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 21

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This paper cites Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting

Reference 22

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This paper cites Adversarial sparse transformer for time series forecasting,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Adversarial sparse transformer for time series forecasting,

Reference 23

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This paper cites Anomaly transformer: Time series anomaly detection with association discrepancy,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Anomaly transformer: Time series anomaly detection with association discrepancy,

Reference 24

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Observation 32b8fce9-fdee-44bc-8b2f-9e99cac82484 · outbound

This paper cites Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Reference 25

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This paper cites Are Transformers Effective for Time Series Forecasting?.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Are Transformers Effective for Time Series Forecasting?

Reference 26

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This paper cites A systematic review for transformer-based long-term series forecasting,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting A systematic review for transformer-based long-term series forecasting,

Reference 27

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This paper cites Interpretation of Time-Series Deep Models: A Survey.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Interpretation of Time-Series Deep Models: A Survey

Reference 28

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Time Series Foundation Models for Multivariate Financial Time Series Forecasting Unresolved cited work

Reference 29

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Observation b1f829b6-8f7b-4d19-886d-d59f00429bdf · outbound

This paper cites Does the performance of banking sector promote economic growth? a time series analysis,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Does the performance of banking sector promote economic growth? a time series analysis,

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Observation 01e39ae7-8eb5-475e-8f57-25be9975c60a · outbound

This paper cites Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

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This paper cites Baltruˇsaitis, C.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Baltruˇsaitis, C

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This paper cites Deep unsupervised domain adaptation with time series sensor data: A survey,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Deep unsupervised domain adaptation with time series sensor data: A survey,

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This paper cites Language models are unsuper- vised multitask learners,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Language models are unsuper- vised multitask learners,

Reference 34

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This paper cites All in One: Multi-task Prompting for Graph Neural Networks.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting All in One: Multi-task Prompting for Graph Neural Networks

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This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting LoRA: Low-Rank Adaptation of Large Language Models

Reference 36

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This paper cites The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges

Reference 37

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This paper cites Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 38

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This paper cites Large language models for financial aid in financial time-series forecasting,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Large language models for financial aid in financial time-series forecasting,

Reference 39

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This paper cites A decoder-only foundation model for time-series forecasting.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting A decoder-only foundation model for time-series forecasting

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Time Series Foundation Models for Multivariate Financial Time Series Forecasting Financial Fine-tuning a Large Time Series Model

Reference 41

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Time Series Foundation Models for Multivariate Financial Time Series Forecasting Unified Training of Universal Time Series Forecasting Transformers

Reference 42

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This paper cites Anomaly detection for vietnamese financial market,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Anomaly detection for vietnamese financial market,

Reference 43

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This paper cites Time Series Data Augmentation for Deep Learning: A Survey.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Time Series Data Augmentation for Deep Learning: A Survey

Reference 44

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This paper cites Predicting extreme financial risks on imbalanced dataset: A combined kernel fcm and kernel smote based svm classifier,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Predicting extreme financial risks on imbalanced dataset: A combined kernel fcm and kernel smote based svm classifier,

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Time Series Foundation Models for Multivariate Financial Time Series Forecasting Learning with imbalanced data in smart manufacturing: A comparative study,

Reference 46

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This paper cites A deep learning based expert framework for portfolio prediction and forecasting,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting A deep learning based expert framework for portfolio prediction and forecasting,

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This paper cites Transfer learning for class imbalance problems with inadequate data,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Transfer learning for class imbalance problems with inadequate data,

Reference 48

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This paper cites A survey on transfer learning,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting A survey on transfer learning,

Reference 49

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This paper cites A brief review of domain adaptation,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting A brief review of domain adaptation,

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This paper cites A novel deep transfer learning framework with adversarial domain adaptation: Application to financial time-series forecasting,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting A novel deep transfer learning framework with adversarial domain adaptation: Application to financial time-series forecasting,

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This paper cites TimeGPT-1.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting TimeGPT-1

Reference 52

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This paper cites Toward a Foundation Model for Time Series Data.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Toward a Foundation Model for Time Series Data

Reference 53

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Observation da7b0e0d-2bdd-4036-b1b2-fb96d0deff30 · outbound

This paper cites Long short-term memory,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Long short-term memory,

Reference 54

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This paper cites Deep Residual Learning for Image Recognition.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Deep Residual Learning for Image Recognition

Reference 55

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This paper cites Deep learning for time series classification: A review,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Deep learning for time series classification: A review,

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Observation 9dba3374-9b5e-41c1-ac12-f0d23f7e874e · outbound

This paper cites Temporal fusion transformers for interpretable multi- horizon time series forecasting,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Temporal fusion transformers for interpretable multi- horizon time series forecasting,

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This paper cites FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

Reference 58

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This paper cites Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 59

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This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

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Observation 479a8710-cf98-4e40-a316-a3fb6b439c14 · outbound

This paper cites Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:24.670918Z

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Observation b0d231e5-fce0-4317-a412-7c414355b513 · outbound

This paper cites Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction

Reference 62

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Observation 076fdc1c-b5cb-4ec8-bf94-1468b3e78897 · outbound

This paper cites Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

Reference 63

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Observation d38858ab-7787-4035-9913-1af5e6e675d3 · outbound

This paper cites Chronos: Learning the Language of Time Series.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Chronos: Learning the Language of Time Series

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:25.216351Z

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This paper cites Moment: A family of open time-series foundation models,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Moment: A family of open time-series foundation models,

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Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:25.366725Z

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Observation 10f186c0-80fd-4127-950b-28c95ee1f928 · outbound

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Time Series Foundation Models for Multivariate Financial Time Series Forecasting Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:25.547604Z

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Observation 0372d93c-a3bf-4537-be03-11b1c195e63c · outbound

This paper cites Full Parameter Fine-tuning for Large Language Models with Limited Resources.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:25.726546Z

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Observation b9596d81-af4b-4be6-b67f-4a788950bc15 · outbound

This paper cites How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:25.873848Z

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Observation 3421a396-4e4e-4763-a549-8c5324ffc215 · outbound

This paper cites Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

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Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:26.011700Z

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Observation f60caee2-ee78-4346-88ab-164b5600d80f · outbound

This paper cites Adik, PEFT (Parameter-Efficient Fine-Tuning), https://medium.com/@kanikaadik07 /peft-parameter-efficient-fine-tuning-55e32c60c799 , Accessed: 2025-04-12, 2023.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Adik, PEFT (Parameter-Efficient Fine-Tuning), https://medium.com/@kanikaadik07 /peft-parameter-efficient-fine-tuning-55e32c60c799 , Accessed: 2025-04-12, 2023

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Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:26.083108Z

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Observation 81d8f5f0-9cd1-4499-a20c-5c26e9ab173b · outbound

This paper cites DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

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Observation 8be7a0bd-4b4f-482e-a69f-d4e0b0ac0054 · outbound

This paper cites an unresolved cited work.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:26.374181Z

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Observation 4a33112b-6bd4-4033-a091-ec1427ed36c9 · outbound

This paper cites Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:26.576798Z

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Observation 86b4772f-2bc3-4b18-afe3-b32a6fc8e4b5 · outbound

This paper cites Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:26.708693Z

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Observation cdc065fe-2be7-41ce-96b7-babb0bb4616f · outbound

This paper cites an unresolved cited work.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:26.890209Z

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Observation 37bfc647-31c5-4390-a389-0a0dc140b1ba · outbound

This paper cites Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:27.233404Z

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Observation 7d1d5520-a198-4334-a3bf-38c7ccb9e686 · outbound

This paper cites KronA: Parameter Efficient Tuning with Kronecker Adapter.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting KronA: Parameter Efficient Tuning with Kronecker Adapter

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:27.406346Z

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Observation aa5936f1-1b9a-485c-974b-1e9246d1ef5e · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Parameter-Efficient Transfer Learning for NLP

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:27.558773Z

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Observation 6a61d21b-7fa4-4d0b-827b-1364b58130aa · outbound

This paper cites AdapterFusion: Non-Destructive Task Composition for Transfer Learning.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:27.724947Z

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Observation bbe51cfe-e54f-4c26-a3f8-10b0d426c48e · outbound

This paper cites Measuring the Intrinsic Dimension of Objective Landscapes.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Measuring the Intrinsic Dimension of Objective Landscapes

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:27.061729Z

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This paper cites SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters

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Resolution: verified exact; local_arxiv, observed 2026-08-06T18:49:33.679789Z

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Observation 2c81956c-acca-4250-846e-104b859ba630 · outbound

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Time Series Foundation Models for Multivariate Financial Time Series Forecasting Unresolved cited work

Reference 82

Resolution: verified exact; doi, observed 2026-08-06T18:49:33.501894Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de0fd297-bf2b-4d0e-adf7-0e9228c2c7e6 · outbound

This paper cites A review on transferability estimation in deep transfer learning,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting A review on transferability estimation in deep transfer learning,

Reference 83

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Observation 00e215f6-3ac3-4199-8459-a26d8f526b68 · outbound

This paper cites A cointegration analysis of treasury bill yields,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting A cointegration analysis of treasury bill yields,

Reference 84

Resolution: verified exact; doi, observed 2026-08-06T18:49:33.360521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 647005cc-9d03-4973-a8c6-fce0897bdb38 · outbound

This paper cites Counter-Interference Adapter for Multilingual Machine Translation.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Counter-Interference Adapter for Multilingual Machine Translation

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:27.951946Z

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Observation d20f5e0d-e970-4da2-9046-3d23803caaf6 · outbound

This paper cites A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:28.926330Z

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This paper cites Price forecast of treasury bond market yield: Optimize method based on deep learning model,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Price forecast of treasury bond market yield: Optimize method based on deep learning model,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:29.013607Z

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Observation 5fa119f3-bd7d-47df-b8bd-38490191b742 · outbound

This paper cites GPT Understands, Too.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting GPT Understands, Too

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:28.433587Z

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Observation decec7cf-3bd4-424e-9523-6e6f3f51b2a0 · outbound

This paper cites Department of the Treasury, Daily treasury par yield curve rates, 2025.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Department of the Treasury, Daily treasury par yield curve rates, 2025

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:29.218311Z

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Observation 38d5c0b2-1ea3-4222-8014-7d70e6509ae3 · outbound

This paper cites Louis, Federal reserve economic data (fred), Accessed: 2025-05-22,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Louis, Federal reserve economic data (fred), Accessed: 2025-05-22,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:29.340891Z

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Observation 3f5a1065-8718-4f32-84ac-c566c42a6cda · outbound

This paper cites Forecasting interest rates,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Forecasting interest rates,

Reference 91

Resolution: verified exact; doi, observed 2026-08-06T18:49:33.177994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 49a08524-7bd2-477d-9911-6c4b5e26bc09 · outbound

This paper cites Forecasting volatility in financial markets: A review,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Forecasting volatility in financial markets: A review,

Reference 92

Resolution: malformed identifier; doi_truncated, observed 2026-08-06T18:49:32.983709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites Chapter 49 arch models,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Chapter 49 arch models,

Reference 93

Resolution: verified exact; doi, observed 2026-08-06T18:49:32.814207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:29.132064Z

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This paper cites The volatility of realized volatility,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting The volatility of realized volatility,

Reference 95

Resolution: verified exact; doi, observed 2026-08-06T18:49:32.654404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 50751144-dd47-4b62-b501-c44fae960f49 · outbound

This paper cites Realized volatility forecasting with neural networks,.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Realized volatility forecasting with neural networks,

Reference 96

Resolution: verified exact; doi, observed 2026-08-06T18:49:32.481782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c5d22e78-32b8-4f0e-ad8f-c43f6f16ff12 · outbound

This paper cites A forecast comparison of volatility models: Does anything beat a garch(1, 1)?.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting A forecast comparison of volatility models: Does anything beat a garch(1, 1)?

Reference 97

Resolution: verified exact; doi, observed 2026-08-06T18:49:32.317970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b11aad49-d41e-4589-9d3a-5fd631f429be · outbound

This paper cites Ltd., Quantamental indicators on jpmaqs, Accessed: 2025-05-22, 2025.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Ltd., Quantamental indicators on jpmaqs, Accessed: 2025-05-22, 2025

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:29.570915Z

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Observation 90a90729-5a05-451e-bd4c-872f4add2306 · outbound

This paper cites [Online].

Time Series Foundation Models for Multivariate Financial Time Series Forecasting [Online]

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:30.803632Z

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Observation 9c788ad2-baa3-45da-be26-06290da07e12 · outbound

This paper cites [Online].

Time Series Foundation Models for Multivariate Financial Time Series Forecasting [Online]

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:30.906268Z

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