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Sulalitha Bowala
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2020 – today
- 2023
- [c11]Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran:
Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks. COMPSAC 2023: 1343-1348 - [c10]Md. Erfanul Hoque, Sulalitha Bowala, Alex Paseka, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram:
Fuzzy Option Pricing for Jump Diffusion Model using Neuro Volatility Models. COMPSAC 2023: 1349-1354 - [c9]You Liang, Aerambamoorthy Thavaneswaran, Alex Paseka, Sulalitha Bowala, Juan Liyau:
A Novel Fading-Memory Filter Multiple Trading Strategy with Data-Driven Innovation Volatility. COMPSAC 2023: 1355-1362 - [c8]Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran:
Portfolio Diversification with Clustering Techniques. SSCI 2023: 97-102 - [c7]Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Md. Erfanul Hoque, Alex Paseka:
Superiority of Neural Networks for Trading Volume Forecasts of Stocks and Cryptocurrencies. SSCI 2023: 146-151 - [c6]Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Thimani Ranathungage, Joy Dip Das:
High Frequency Data-Driven Dynamic Portfolio Optimization for Cryptocurrencies. SSCI 2023: 375-380 - 2022
- [c5]Sulalitha Bowala, Mohammadreza Makhan, You Liang, Aerambamoorthy Thavaneswaran, Srimantoorao Semischetty Appadoo:
Superiority of the Neural Network Dynamic Regression Models for Ontario Electricity Demand Forecasting. CCECE 2022: 182-187 - [c4]Sulalitha Bowala, Japjeet Singh, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Saumen Mandal:
Comparison of Fuzzy Risk Forecast Intervals for Cryptocurrencies. CIFEr 2022: 1-8 - [c3]You Liang, Aerambamoorthy Thavaneswaran, Alex Paseka, Wei Qiao, Melody Ghahramani, Sulalitha Bowala:
A Novel Optimal Profit Resilient Filter Pairs Trading Strategy for Cryptocurrencies. COMPSAC 2022: 1274-1279 - [c2]Aerambamoorthy Thavaneswaran, You Liang, Sulalitha Bowala, Alex Paseka, Melody Ghahramani:
Deep Learning Predictions for Cryptocurrencies. COMPSAC 2022: 1280-1285 - [c1]Japjeet Singh, Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Saumen Mandal:
Data-Driven and Neuro-Volatility Fuzzy Forecasts for Cryptocurrencies. FUZZ-IEEE 2022: 1-8
Coauthor Index
aka: Aerambamoorthy Thavaneswaran
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