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March 16, 2022
Dealers face hedging scramble after 30% plunge sees China’s tech index breach ‘peak vega’ level
March 16, 2022
This paper presents a novel and direct approach to solving boundary- and final-value problems, corresponding to barrier options, using forward pathwise deep
March 4, 2022
Conflict sparks big dislocation between ruble NDF and spot, threatening hedges and clouding valuations
March 2, 2022
Embryonic work on quantum neural networks raises hope of faster, more accurate models
February 24, 2022
Basis between physical and non-deliverable trades hits record high as users shun local currency
February 21, 2022
The United States is unaccustomed to a world of hedging partners.
February 15, 2022
Asset managers diverge in their approach to managing Turkish currency turmoil as FX hedging costs soar
February 9, 2022
Over 93% of the oil giant’s derivatives instruments were designated as current
February 9, 2022
CME Group Inc on Wednesday reported a fourth-quarter profit that topped Wall Street expectations, helped by increased usage of the futures exchange operators interest rate hedging tools as... | February 9, 2022
January 26, 2022
Increasingly, use of artificial intelligence, machine learning and alternative data sets are all helping market participants enhance their crude trading and risk management. If you’re one of the early adopters looking to leverage existing efforts or are concerned that your trading and risk management practices are falling behind, then Argus’ data science solutions can help.