Joy Dip Das

According to our database, Joy Dip Das authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Novel Financial Network Models Using Neuro Correlations and Applications.

Avanthi Saumyamala, Aerambamoorthy Thavaneswaran, Sulalitha Bowala, Joy Dip Das, Ruppa K. Thulasiram, Alex Paseka

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2025

Non-Linear Data Representation with Machine Learning for Dynamic Covariance Based Financial Portfolio Optimization.

Joy Dip Das, Avanthi M. Gedara, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2025

The Superiority of Direct Neuro Volatility Forecasts Over GARCH and Machine Learning Forecasts for Financial Assets.

Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Avanthi Saumyamala, Joy Dip Das, Ruppa K. Thulasiram, Alex Paseka

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2025

2023

Portfolio Diversification with Clustering Techniques.

Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

High Frequency Data-Driven Dynamic Portfolio Optimization for Cryptocurrencies.

Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Thimani Ranathungage, Joy Dip Das

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks.

Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023