Sulalitha Bowala

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 11

Top Topics

Demand Forecasting

Regression Model

Top Venues

Publications

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)
Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran
Portfolio Diversification with Clustering Techniques. SSCI (2023)
Joydip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran
Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks. COMPSAC (2023)
Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Thimani Ranathungage, Joy Dip Das
High Frequency Data-Driven Dynamic Portfolio Optimization for Cryptocurrencies. SSCI (2023)
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)
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)
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)
Sulalitha Bowala, Japjeet Singh, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Saumen Mandal
Comparison of Fuzzy Risk Forecast Intervals for Cryptocurrencies. CIFEr (2022)
Aerambamoorthy Thavaneswaran, You Liang, Sulalitha Bowala, Alex Paseka, Melody Ghahramani
Deep Learning Predictions for Cryptocurrencies. COMPSAC (2022)
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)
Japjeet Singh, Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Saumen Mandal
Data-Driven and Neuro-Volatility Fuzzy Forecasts for Cryptocurrencies. FUZZ-IEEE (2022)