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When it comes to hedge accounting, firms face common challenges that add unnecessary complexity to their operations. Chief among these are relying on spreadsheets and manual processes for tasks such as hedging interest rate risk or tracking cash flow volatility. But while spreadsheet usage is a typical practice for hedge accounting, it is a time-consuming and massively error-prone one. In today’s

Throughout the finance industry, we’ve seen a surge in Python use for development of data analysis. Many firms are even eliminating reliance on spreadsheets in areas like modeling and risk reporting. They are instead building out new analyses with Python—which are more functional and robust than Excel workbooks ever were. What’s Driving the Move to Python? The volume of information that firms work

The outlook for economic impacts of the coronavirus pandemic remains uncertain. But we are seeing the US Fed and many other central banks taking drastic steps to stem deflation and stimulate lending. US interest-rates are now almost zero, and modern expansionist monetary policy is in full effect with quantitative easing and the use of newly printed money for intervention in the open markets. In

I am pleased to announce that FINCAD has recently been recognized as an outstanding employer in two competitions. FINCAD was named one of BC’s Top Employers for 2020 and a Top Canadian Small to Medium Enterprise (SME) for 2020. BC's Top Employers recognizes the 100 British Columbian employers that lead their industries in offering excellent places to work. Noted as a workplace innovator, FINCAD