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Research paper on financial instruments

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Financial assets classification according to IFSR 9 business model criteria, initial recognition and subsequent measurement 3. Financial liabilities classification according to IFSR 9 business model criteria, initial recognition and subsequent measurement 4. Hedge accounting according to IFRS 9 hedge criteria and types 5. Expected credit loss according to IFRS 9.
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IFRS 9 — Financial Instruments

In this research paper by the Numerix Quantitative Development Team, details a new methodology for calculating Funding Value Adjustment FVA for vanilla and exotic deals at both the trade, and portfolio level. It also allows for an efficient deal-by-deal computation, which is attractive for parallelization. Built on the same foundational analytics and algorithmic approach for calculating Counterparty exposure 2 , American Monte Carlo is employed to determine the distribution of prices under future dates resulting in accurate, real-time FVA computations for both exotics and vanilla instruments. By submitting this form, I understand that I am providing my data to Numerix. Women in Technology and Data Awards Vendor professional of the year trading and risk Download Numerix Research Paper.
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View paper. Viewpoint Paper no. Data describing financial instruments are often complex, incomplete, and incompatible. These weaknesses impede companies and investors in managing their risks and regulators in overseeing financial firms, markets, and the financial system as a whole.
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