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Sulalitha Bowala
Sulalitha Bowala
在 myumanitoba.ca 的电子邮件经过验证
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Optimizing Portfolio Risk of Cryptocurrencies Using Data-Driven Risk Measures
S Bowala, J Singh
Journal of Risk and Financial Management 15 (10), 427, 2022
112022
A Novel Optimal Profit Resilient Filter Pairs Trading Strategy for Cryptocurrencies
Y Liang, A Thavaneswaran, A Paseka, W Qiao, M Ghahramani, S Bowala
2022 IEEE 46th Annual Computers, Software, and Applications Conference …, 2022
42022
Comparison of Fuzzy Risk Forecast Intervals for Cryptocurrencies
S Bowala, J Singh, A Thavaneswaran, R Thulasiram, S Mandal
2022 IEEE Symposium on Computational Intelligence for Financial Engineering …, 2022
42022
Superiority of the Neural Network Dynamic Regression Models for Ontario Electricity Demand Forecasting
S Bowala, M Makhan, Y Liang, A Thavaneswaran, SS Appadoo
2022 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE …, 2022
32022
Data-Driven and Neuro-Volatility Fuzzy Forecasts for Cryptocurrencies
J Singh, S Bowala, A Thavaneswaran, R Thulasiram, S Mandal
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2022
32022
Deep Learning Predictions for Cryptocurrencies
A Thavaneswaran, Y Liang, S Bowala, A Paseka, M Ghahramani
2022 IEEE 46th Annual Computers, Software, and Applications Conference …, 2022
32022
Modeling T20I cricket bowling effectiveness: A quantile regression approach with a Bayesian extension
S Bowala, ABW Manage, SM Scariano
Journal of Sports Analytics 7 (3), 197-221, 2021
22021
Application of a Novel Fuzzy Pattern Mining Algorithm for Sequence Data
T Ranathungage, S Bowala, ME Hoque, A Thavaneswaran, R Thulasiram
2024 IEEE 48th Annual Computers, Software, and Applications Conference …, 2024
12024
Novel Resilient Model Risk Forecasts based on Neuro Volatility Models
ME Hoque, S Bowala, A Saumyamala, A Thavaneswaran, R Thulasiram
2024 IEEE 48th Annual Computers, Software, and Applications Conference …, 2024
12024
High Frequency Data-Driven Dynamic Portfolio Optimization for Cryptocurrencies
S Bowala, A Thavaneswaran, R Thulasiram, T Ranathungage, JD Das
2023 IEEE Symposium Series on Computational Intelligence (SSCI), 375-380, 2023
12023
Portfolio Diversification with Clustering Techniques
JD Das, S Bowala, RK Thulasiram, A Thavaneswaran
2023 IEEE Symposium Series on Computational Intelligence (SSCI), 97-102, 2023
12023
Superiority of Neural Networks for Trading Volume Forecasts of Stocks and Cryptocurrencies
S Bowala, A Thavaneswaran, R Thulasiram, ME Hoque, A Paseka
2023 IEEE Symposium Series on Computational Intelligence (SSCI), 146-151, 2023
12023
Fuzzy Option Pricing for Jump Diffusion Model using Neuro Volatility Models
ME Hoque, S Bowala, A Paseka, A Thavaneswaran, R Thulasiram
2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023
12023
Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks
JD Das, S Bowala, RK Thulasiram, A Thavaneswaran
2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023
12023
A Novel Fading-Memory Filter Multiple Trading Strategy with Data-Driven Innovation Volatility
Y Liang, A Thavaneswaran, A Paseka, S Bowala, J Liyau
2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023
12023
Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs
S Bowala, ME Hoque, A Thavaneswaran, R Thulasiram, S Appadoo
2024 IEEE 48th Annual Computers, Software, and Applications Conference …, 2024
2024
Novel Non-linear Adaptive Fuzzy Adjacency Matrices for Financial Volatility Network Models
A Saumyamala, S Bowala, Y Liang, S Basnayake, A Thavaneswaran, ...
2024 IEEE 48th Annual Computers, Software, and Applications Conference …, 2024
2024
Hybrid Data-Driven and Deep Learning Based Portfolio Optimization
JD Das, S Bowala, RK Thulasiram, A Thavaneswaran
Journal of Mathematical Finance 14, 271-310, 2024
2024
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