Predicting the Price of Gold in the Financial Markets Using Hybrid Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Rashidi, Mohammadhossein, Modarres, Mohammad |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
The Uncertainty of Machine Learning Predictions in Asset Pricing
par: Liao, Yuan, et autres
Publié: (2025)
par: Liao, Yuan, et autres
Publié: (2025)
Bellwether Trades: Characteristics of Trades influential in Predicting Future Price Movements in Markets
par: Ramdas, Tejas, et autres
Publié: (2024)
par: Ramdas, Tejas, et autres
Publié: (2024)
Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions
par: Hazenberg, Thomas, et autres
Publié: (2025)
par: Hazenberg, Thomas, et autres
Publié: (2025)
Revisiting Day-ahead Electricity Price: Simple Model Save Millions
par: Wang, Linian, et autres
Publié: (2024)
par: Wang, Linian, et autres
Publié: (2024)
Asymmetries in Financial Spillovers
par: Huber, Florian, et autres
Publié: (2024)
par: Huber, Florian, et autres
Publié: (2024)
Predicting NVIDIA's Next-Day Stock Price: A Comparative Analysis of LSTM, MLP, ARIMA, and ARIMA-GARCH Models
par: Xing, Yiluan, et autres
Publié: (2024)
par: Xing, Yiluan, et autres
Publié: (2024)
Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets
par: Singh, Amandeep, et autres
Publié: (2023)
par: Singh, Amandeep, et autres
Publié: (2023)
What is in a Price? Estimating Willingness-to-Pay with Bayesian Hierarchical Models
par: Pillai, Srijesh, et autres
Publié: (2025)
par: Pillai, Srijesh, et autres
Publié: (2025)
Incorporating Cognitive Biases into Reinforcement Learning for Financial Decision-Making
par: He, Liu
Publié: (2026)
par: He, Liu
Publié: (2026)
A Granular Framework for Construction Material Price Forecasting: Econometric and Machine-Learning Approaches
par: Lyu, Boge, et autres
Publié: (2025)
par: Lyu, Boge, et autres
Publié: (2025)
A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles
par: Vallarino, Diego
Publié: (2024)
par: Vallarino, Diego
Publié: (2024)
Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal
par: Athey, Susan, et autres
Publié: (2023)
par: Athey, Susan, et autres
Publié: (2023)
Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries
par: Bursa, Nurbanu
Publié: (2025)
par: Bursa, Nurbanu
Publié: (2025)
Correlated Dynamics in Marketing Sensitivities
par: Dew, Ryan, et autres
Publié: (2021)
par: Dew, Ryan, et autres
Publié: (2021)
A Projection-Based ARIMA Framework for Nonlinear Dynamics in Macroeconomic and Financial Time Series: Closed-Form Estimation and Rolling-Window Inference
par: Liu, Haojie, et autres
Publié: (2025)
par: Liu, Haojie, et autres
Publié: (2025)
The Privacy-Utility Trade-Off of Location Tracking in Ad Personalization
par: Mosaffa, Mohammad, et autres
Publié: (2026)
par: Mosaffa, Mohammad, et autres
Publié: (2026)
Identification and Estimation of Simultaneous Equation Models Using Higher-Order Cumulant Restrictions
par: Jiang, Ziyu
Publié: (2025)
par: Jiang, Ziyu
Publié: (2025)
Prediction-Guided Active Experiments
par: Ao, Ruicheng, et autres
Publié: (2024)
par: Ao, Ruicheng, et autres
Publié: (2024)
On LASSO for High Dimensional Predictive Regression
par: Mei, Ziwei, et autres
Publié: (2022)
par: Mei, Ziwei, et autres
Publié: (2022)
Estimating Wage Disparities Using Foundation Models
par: Vafa, Keyon, et autres
Publié: (2024)
par: Vafa, Keyon, et autres
Publié: (2024)
Stable Time Series Prediction of Enterprise Carbon Emissions Based on Causal Inference
par: Hong, Zitao, et autres
Publié: (2026)
par: Hong, Zitao, et autres
Publié: (2026)
Nowcasting with Mixed Frequency Data Using Gaussian Processes
par: Hauzenberger, Niko, et autres
Publié: (2024)
par: Hauzenberger, Niko, et autres
Publié: (2024)
Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction
par: Zeng, Hao, et autres
Publié: (2024)
par: Zeng, Hao, et autres
Publié: (2024)
An Artificial Trend Index for Private Consumption Using Google Trends
par: Tenorio, Juan, et autres
Publié: (2025)
par: Tenorio, Juan, et autres
Publié: (2025)
Efficient Computation of Confidence Sets Using Classification on Equidistributed Grids
par: Zhou, Lujie
Publié: (2024)
par: Zhou, Lujie
Publié: (2024)
DeXposure-FM: A Time-series, Graph Foundation Model for Credit Exposures and Stability on Decentralized Financial Networks
par: Shu, Aijie, et autres
Publié: (2026)
par: Shu, Aijie, et autres
Publié: (2026)
Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models
par: Chen, Hongyu, et autres
Publié: (2026)
par: Chen, Hongyu, et autres
Publié: (2026)
A Hybrid Framework for Reinsurance Optimization: Integrating Generative Models and Reinforcement Learning
par: Dong, Stella C.
Publié: (2025)
par: Dong, Stella C.
Publié: (2025)
A Job I Like or a Job I Can Get: Designing Job Recommender Systems Using Field Experiments
par: Bied, Guillaume, et autres
Publié: (2026)
par: Bied, Guillaume, et autres
Publié: (2026)
Welfare Analysis in Dynamic Models
par: Chernozhukov, Victor, et autres
Publié: (2019)
par: Chernozhukov, Victor, et autres
Publié: (2019)
Identification of Multivariate Measurement Error Models
par: Hu, Yingyao
Publié: (2025)
par: Hu, Yingyao
Publié: (2025)
Model Averaging and Double Machine Learning
par: Ahrens, Achim, et autres
Publié: (2024)
par: Ahrens, Achim, et autres
Publié: (2024)
LASSO Inference for High Dimensional Predictive Regressions
par: Gao, Zhan, et autres
Publié: (2024)
par: Gao, Zhan, et autres
Publié: (2024)
A Large-Scale Empirical Comparison of Meta-Learners and Causal Forests for Heterogeneous Treatment Effect Estimation in Marketing Uplift Modeling
par: Singh, Aman
Publié: (2026)
par: Singh, Aman
Publié: (2026)
Unemployment Dynamics Forecasting with Machine Learning Regression Models
par: Kim, Kyungsu
Publié: (2025)
par: Kim, Kyungsu
Publié: (2025)
Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances
par: Balzer, Michael
Publié: (2025)
par: Balzer, Michael
Publié: (2025)
Learning Correlated Reward Models: Statistical Barriers and Opportunities
par: Cherapanamjeri, Yeshwanth, et autres
Publié: (2025)
par: Cherapanamjeri, Yeshwanth, et autres
Publié: (2025)
Nuclear Norm Regularized Estimation of Panel Regression Models
par: Moon, Hyungsik Roger, et autres
Publié: (2018)
par: Moon, Hyungsik Roger, et autres
Publié: (2018)
CAREER: A Foundation Model for Labor Sequence Data
par: Vafa, Keyon, et autres
Publié: (2022)
par: Vafa, Keyon, et autres
Publié: (2022)
Optimizing Sales Forecasts through Automated Integration of Market Indicators
par: Döring, Lina, et autres
Publié: (2024)
par: Döring, Lina, et autres
Publié: (2024)
Documents similaires
-
The Uncertainty of Machine Learning Predictions in Asset Pricing
par: Liao, Yuan, et autres
Publié: (2025) -
Bellwether Trades: Characteristics of Trades influential in Predicting Future Price Movements in Markets
par: Ramdas, Tejas, et autres
Publié: (2024) -
Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions
par: Hazenberg, Thomas, et autres
Publié: (2025) -
Revisiting Day-ahead Electricity Price: Simple Model Save Millions
par: Wang, Linian, et autres
Publié: (2024) -
Asymmetries in Financial Spillovers
par: Huber, Florian, et autres
Publié: (2024)