ARDC Research Link Australia Research Link Australia   BETA Research
Link
Australia
  • ARDC Newsletter Subscribe
  • Contact Us
  • Home
  • About
  • Feedback
  • Explore Collaborations
  • Researcher
  • Funded Activity
  • Organisation
  • Researcher
  • Funded Activity
  • Organisation
  • Researcher
  • Funded Activity
  • Organisation

Need help searching? View our Search Guide.

Advanced Search

Current Selection
Field of Research : Numerical Analysis
Field of Research : Finance
Research Topic : Flow Analysis
Clear All
Filter by Field of Research
Finance (3)
Numerical Analysis (3)
Banking, Finance and Investment (2)
Stochastic Analysis And Modelling (2)
Numerical and Computational Mathematics (1)
Filter by Socio-Economic Objective
Finance and investment services (3)
Filter by Funding Provider
Australian Research Council (3)
Filter by Status
Closed (3)
Filter by Scheme
Linkage Projects (2)
Discovery Projects (1)
Filter by Country
Australia (3)
Filter by Australian State/Territory
NSW (2)
SA (1)
  • Researchers (3)
  • Funded Activities (3)
  • Organisations (9)
  • Funded Activity

    Linkage Projects - Grant ID: LP0882947

    Funder
    Australian Research Council
    Funding Amount
    $105,000.00
    Summary
    Developing a robust model for pricing inter-related volatility-based financial derivative contracts. Volatility-based financial contracts were developed in the late 1990s to provide an easy way for investors to gain exposure to the future level of volatility and thus provide a means by which they could speculate on its future levels and also hedge unpredictable volatility risk. This would potentially save them from losing vast quantities of money. However these products can only be efficient pr .... Developing a robust model for pricing inter-related volatility-based financial derivative contracts. Volatility-based financial contracts were developed in the late 1990s to provide an easy way for investors to gain exposure to the future level of volatility and thus provide a means by which they could speculate on its future levels and also hedge unpredictable volatility risk. This would potentially save them from losing vast quantities of money. However these products can only be efficient products for trading and risk management if they are priced correctly. This project will benefit investors by providing empirically viable models that will be able to be easily implemented to provide accurate and fast pricing solutions.
    Read more Read less
    More information
    Funded Activity

    Discovery Projects - Grant ID: DP0556113

    Funder
    Australian Research Council
    Funding Amount
    $147,000.00
    Summary
    Option pricing via path integrals: a new perspective. The risk management of derivative securities is a very exciting challenge for financial market researchers. The knowledge base resulting from this proposal will benefit both large financial institutions and Australia's financial system by creating a more competitive and efficient economic environment, which will inevitably lead to more gross domestic product (GDP) gains.Furthermore a large amount of software and numerical analysis work to be .... Option pricing via path integrals: a new perspective. The risk management of derivative securities is a very exciting challenge for financial market researchers. The knowledge base resulting from this proposal will benefit both large financial institutions and Australia's financial system by creating a more competitive and efficient economic environment, which will inevitably lead to more gross domestic product (GDP) gains.Furthermore a large amount of software and numerical analysis work to be developed during the project can be turned into IP for Australia. This will contribute to catalysing development of internationally competitive financial risk management software industry.
    Read more Read less
    More information
    Funded Activity

    Linkage Projects - Grant ID: LP0669678

    Funder
    Australian Research Council
    Funding Amount
    $222,000.00
    Summary
    Novel Mathematical Technologies for Financial Valuation and Risk. The finance industry is a key industry sector in Australia, with a highly qualified and well-paid work force. The profitability and stability of financial institutions rests in part on their ability to accurately and rapidly value innovative financial products and to quantify risk, yet many contemporary financial products are difficult to value quickly and accurately. This project will bring innovative mathematical technologies .... Novel Mathematical Technologies for Financial Valuation and Risk. The finance industry is a key industry sector in Australia, with a highly qualified and well-paid work force. The profitability and stability of financial institutions rests in part on their ability to accurately and rapidly value innovative financial products and to quantify risk, yet many contemporary financial products are difficult to value quickly and accurately. This project will bring innovative mathematical technologies to bear on complex financial problems. It has the potential to improve both the profitability and stability of Australian financial institutions, and to enhance their role regionally and internationally.
    Read more Read less
    More information

    Showing 1-3 of 3 Funded Activites

    Advanced Search

    Advanced search on the Researcher index.

    Advanced search on the Funded Activity index.

    Advanced search on the Organisation index.

    National Collaborative Research Infrastructure Strategy

    The Australian Research Data Commons is enabled by NCRIS.

    ARDC CONNECT NEWSLETTER

    Subscribe to the ARDC Connect Newsletter to keep up-to-date with the latest digital research news, events, resources, career opportunities and more.

    Subscribe

    Quick Links

    • Home
    • About Research Link Australia
    • Product Roadmap
    • Documentation
    • Disclaimer
    • Contact ARDC

    We acknowledge and celebrate the First Australians on whose traditional lands we live and work, and we pay our respects to Elders past, present and emerging.

    Copyright © ARDC. ACN 633 798 857 Terms and Conditions Privacy Policy Accessibility Statement
    Top
    Quick Feedback