Sökresultat - "volatility prediction"

CryptoQNet: Leveraging Quantum Computing for Enhanced Cryptocurrency Market Analysis

Pervez, Rahat, Nova, Afsana Alam, Nafiul Nagib, Mir, Sultana, Sheikh Razia, Maua, Jannatul, Hasan, Md Nahid

2025 International Conference on Emerging Smart Computing and Informatics (ESCI)

A Hybrid LSTM-GARCH Network for Stock Market Volatility Prediction

Siddiraju, Nithyasai, Hasan, Rashida

2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC)

Innovative Study on Volatility Prediction Model for New Energy Stock Indices

Li, Y., Long, C.

Navigating Uncertainty: Gold Price Forecasting with Kolmogorov-Arnold Networks in Volatile Markets

Le, Dat, Rajasegarar, Sutharshan, Luo, Wei, Nguyen, Thanh Thi, Angelova, Maia

2024 IEEE Conference on Engineering Informatics (ICEI)

Integrating Ensemble Machine Learning with Technical Indicators for Superior FX Volatility Prediction

Patil, Bhaskar V., Pushpesh, Kumar, Amit, Yadav, Neha, Pawar, Bhakti, Joshi, Bhavesh P., Gala, Deepali M.

2024 International Conference on Intelligent Systems and Advanced Applications (ICISAA)

Financial Evaluation Algorithm Based on Enhanced Time Series Prediction

Peng, Xiangyu

2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

Enhancing Financial Market Analysis Bitcoin vs Gold through Machine Learning Algorithms: A Study on Risk Assessment and Portfolio Management

Golash, Richa, Golash, Kushagra

2024 IEEE 5th India Council International Subsections Conference (INDISCON)

How Does Textual Information Selection Influence Time Series Forecasting? A Cross-modal Perspective on Financial Volatility Prediction

Niu, Hao, Xiong, Yun, Wang, Xiaosu, Yang, Biao, Zhang, Yao

2024 IEEE International Conference on Multimedia and Expo (ICME)

Research on Stock Price Volatility Prediction based on Deep Neural Network

Liu, Songqing

2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)

Unmanned Artificial Intelligence-Based Financial Volatility Prediction in International Stock Market

Rani, T., Vijayakumar, L., Chandirasekar, B., Geethanjali, N., Roja, M. Parveen, Salunkhe, Harshal Anil

2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS)

Research on Unmanned Artificial intelligence Based Financial Volatility Prediction in International Stock Market

Boggavarapu, Saikrishna, Ramkumar, Gowtham, Gedamkar, Pallavi Rahul, Kaneria, Abha, Pundir, Sumit, Selvameena, R.

2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST)

Volatility Prediction Algorithm in Enterprise Financial Risk Management Based on Markov Chain Algorithm

Shi, Zhengbin

2023 International Conference on Intelligent Computing, Communication & Convergence (ICI3C)

AgTech: Volatility Prediction for Agricultural Commodity Exchange Trading Applied Deep Learning

Le, N., Seo, Y., Huh, J.

Evaluation of Traditional Finance Models and Machine Learning Approaches in FOREX Volatility Prediction

Cheevirot, Seksin, Smanchat, Sucha, Nuchitprasitchai, Siranee

2023 27th International Computer Science and Engineering Conference (ICSEC)

GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets

Xu, Zeda, Liechty, John, Benthall, Sebastian, Skar-Gislinge, Nicholas, McComb, Christopher

Stock volatility prediction Using TabNet based deep learning method

Lv, Yanlin, Guo, Shuting, Chen, Yiwen, Li, Wenji

2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE)

Research on Stock Price Volatility Prediction Based on Generative Adversarial Network

Wang, Lu, Huang, Zhensheng

2021 International Conference on Networking, Communications and Information Technology (NetCIT)

Predicting stock volatility based on weighted fusion model of XGBoost and LightGBM

Zhu, Dingqianxi

2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA)

Improving Forecasts of the EGARCH Model Using EMD and K-means Clustering

Tian, Wei, Tian, Yixiang

2021 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)

Implementation of deep learning models in predicting ESG index volatility

Bhandari, Hum Nath, Pokhrel, Nawa Raj, Rimal, Ramchandra^{Aff3, IDs40854023006040_cor3}, Dahal, Keshab R., Rimal, Binod