Search Results - "Thulasiram, Ruppa K."

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  1. 1

    Novel Data-Driven Fuzzy Algorithmic Volatility Forecasting Models with Applications to Algorithmic Trading by Thavaneswaran, A., Liang, You, Zhu, Zimo, Thulasiram, Ruppa K.

    “…The explosion of algorithmic trading has been one of the most prominent trends in the finance industry. In this paper, two strategies for algorithmic trading…”
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    Conference Proceeding
  2. 2

    Trust and scalable blockchain-based message exchanging scheme on VANET by Chukwuocha, Chukwuka, Thulasiraman, Parimala, Thulasiram, Ruppa K.

    Published in Peer-to-peer networking and applications (01-09-2021)
    “…Ephemeral vehicular ad hoc networks (VANETs) are large decentralized, distributed networks that communicate by exchanging information about their surroundings…”
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    Journal Article
  3. 3
  4. 4

    Fuzzy Option Pricing Using a Novel Data-Driven Feed Forward Neural Network Volatility Model by Thavaneswaran, A., Thulasiram, Ruppa K., Frank, Julieta, Zhu, Zimo, Singh, Manmohit

    “…Recently there has been a growing interest in combining randomness and fuzziness to solve option pricing problems in finance using volatility models such as…”
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    Conference Proceeding
  5. 5

    Exploration/exploitation of a hybrid-enhanced MPSO-GA algorithm on a fused CPU-GPU architecture by Franz, Wayne, Thulasiraman, Parimala, Thulasiram, Ruppa K.

    Published in Concurrency and computation (25-03-2015)
    “…SummaryRecent work in metaheuristic algorithms has shown that solution quality may be improved by composing algorithms with orthogonal characteristics. At the…”
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    Journal Article
  6. 6

    Nature-inspired soft computing for financial option pricing using high-performance analytics by Thulasiram, Ruppa K., Thulasiraman, Parimala, Prasain, Hari, Jha, Girish K.

    Published in Concurrency and computation (10-03-2016)
    “…Summary High‐performance computing has witnessed the push towards computer hardware design in the past decade. Many real world problems are both data and…”
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    Journal Article
  7. 7

    Guest Editorial: Special Issue on Green Pervasive and Ubiquitous Systems by Jiang, Hai, Liu, Fangwing, Thulasiram, Ruppa K., Gelenbe, Erol

    Published in IEEE systems journal (01-06-2017)
    “…The papers in this special section focus on green pervasive and ubiquitous computing. These computing systems are a promising paradigm in human’s daily life,…”
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    Journal Article
  8. 8

    A Novel Data Driven Machine Learning Algorithm For Fuzzy Estimates of Optimal Portfolio Weights and Risk Tolerance Coefficient by Thavaneswaran, Aerambamoorthy, Liang, You, Paseka, Alex, Hoque, Md. Erfanul, Thulasiram, Ruppa K.

    “…Recently, there has been a growing interest in portfolio optimization using graphical LASSO (GL) machine learning method, by assuming normality for asset…”
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    Conference Proceeding
  9. 9

    Clabacus: A Risk-Adjusted Cloud Resources Pricing Model Using Financial Option Theory by Sharma, Bhanu, Thulasiram, Ruppa K., Thulasiraman, Parimala, Buyya, Rajkumar

    Published in IEEE transactions on cloud computing (01-07-2015)
    “…In Cloud computing, clients would like to pay fair price for the resources while providers would like to make profit for their services. In this study, we…”
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    Journal Article
  10. 10

    Computing value-at-risk using genetic algorithm by Sharma, Bhanu, Thulasiram, Ruppa K., Thulasiraman, Parimala

    Published in The journal of risk finance (01-01-2015)
    “…Purpose - Value-at-risk (VaR) is a risk measure of potential loss on a specific portfolio. The main uses of VaR are in risk management and financial reporting…”
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    Journal Article
  11. 11

    Deep Learning-Based Credit Score Prediction: Hybrid LSTM-GRU Model by ASL, Golnaz Sababipour, Shamsi, Kiarash, Thulasiram, Ruppa K., Akcora, Cuneyt, Leung, Carson

    “…Credit score prediction is a crucial task in financial industry, as it helps lenders and financial institutions evaluate the creditworthiness of borrowers and…”
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    Conference Proceeding
  12. 12

    A simple parallel algorithm for large-scale portfolio problems by Smimou, Kamal, Thulasiram, Ruppa K

    Published in The journal of risk finance (09-11-2010)
    “…Purpose - Although the mean-variance portfolio selection model has been investigated in the literature, the difficulty associated with the application of the…”
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    Journal Article
  13. 13

    Portfolio Diversification with Clustering Techniques by Das, Joy Dip, Bowala, Sulalitha, Thulasiram, Ruppa K., Thavaneswaran, Aerambamoorthy

    “…Diversifying asset allocation is a crucial aspect of building a profitable portfolio. The resiliency of the portfolio depends on the optimization techniques as…”
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    Conference Proceeding
  14. 14

    Stock Volatility Forecasting with Transformer Network by Asl, Golnaz Sababipour, Thulasiram, Ruppa K., Thavaneswaran, Aerambamoorthy

    “…Financial market is in general volatile with so many uncertainties and volatility is one of the main measures of uncertainty in the market among other…”
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    Conference Proceeding
  15. 15

    A New Era of Blockchain-Powered Decentralized Finance (DeFi) - A Review by Dos Santos, Saulo, Singh, Japjeet, Thulasiram, Ruppa K., Kamali, Shahin, Sirico, Louis, Loud, Lisa

    “…The Bitcoin whitepaper [1] published in 2008 pro-posed a novel decentralized ledger, later called blockchain, which enabled multiple transacting parties to…”
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    Conference Proceeding
  16. 16

    A software architecture framework for on-line option pricing by Kola, Kiran, Thulasiram, Ruppa K., Thulasiraman, Parimala

    Published in The Journal of supercomputing (01-02-2009)
    “…The problem of growing computational complexity in the finance industry demands manageable, high-speed and real-time solutions in solving complex mathematical…”
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    Journal Article
  17. 17

    Comparison of Trading Strategies: Dual Momentum vs Pairs Trading by Singh, Japjeet, Thulasiram, Ruppa K., Thavaneswaran, Aerambamoorthy, Paseka, Alex

    “…There have been several studies in the literature discussing the profitability with various trading strategies. Two common strategies are pairs trading and…”
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    Conference Proceeding
  18. 18

    Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks by Das, Joy Dip, Bowala, Sulalitha, Thulasiram, Ruppa K., Thavaneswaran, Aerambamoorthy

    “…Constructing resilient portfolios is of crucial and utmost importance to investment management. This study compares traditional and data-driven models for…”
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    Conference Proceeding
  19. 19

    Intelligent Probabilistic Forecasts of VIX and its Volatility using Machine Learning Methods by Thavaneswaran, Aerambamoorthy, Liang, You, Das, Sanjiv, Thulasiram, Ruppa K., Bhanushali, Janakumar

    “…The market focuses on the Cboe Volatility Index (VIX) or Fear Index, an option-implied forecast of 30 calendar-day realized volatility of S&P 500 returns…”
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    Conference Proceeding
  20. 20

    Data-Driven Neuro ARCH (DDNA) volatility model for Option Pricing on Cloud Resources by Singh, Manmohit, Thulasiram, Ruppa K., Thavaneswaran, Aerambamoorthy

    “…Due to highly unpredictable nature of financial derivatives market such as options, profiting from these financial products has always been a challenge for…”
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    Conference Proceeding