by Dessa Glasser | Aug 6, 2018 | Data
Data as a Service (DaaS) can be used to provide a single source of authoritative (or golden) data for use in a firm’s critical applications. Here, a logical layer of the data (often in-memory for quick access) can serve up data that has been verified, defined, and...
by Dessa Glasser | Jul 2, 2018 | Data
Does your company suffer the challenges from data silos? Dessa Glasser, Principal with the Financial Risk Group, who assists Virtual Clarity on data solutions as an Associate, discusses the challenges of data management in our second post for our blog series. In our...
by Dr. Jimmie Lenz | Jun 27, 2018 | CECL
The ramifications of CECL on Financial Institutions has in large part focused on Banks, but as we addressed in a recent paper, “Current Expected Credit Loss: Why the Expectations Are Different,” this new accounting treatment extends to a much larger universe. An...
by Dessa Glasser | May 30, 2018 | Data
Data is big. Big news. Big importance. How big, you ask? Consider that all the information we have as the human race has been growing since the beginning of time. At the same time, we are enacting more processes every day that add to this growing data, whether on a...
by Philip Lawton | Nov 2, 2017 | Private Capital Forecasting
Early in his career, one of us was responsible for cash flow forecasting and liquidity management at a large multiline insurance company. We gathered extensive historical data on daily concentration bank deposits, withdrawals, and balances and developed an elementary...
by Philip Lawton | Oct 12, 2017 | Regulations
Determining whether an unimpaired asset’s credit risk has meaningfully increased since the asset was initially recognized is one of the most consequential issues banks encounter in complying with IFRS 9. Recall the stakes: The expected credit loss for Stage 1 assets...
by Dr. Jimmie Lenz | Oct 12, 2017 | Sales Practices
Should you be monitoring your sales activities to detect anomalous behaviors? The use of sales incentives (commissions, bonuses, etc.) to motivate the behavior of salespeople has a long history in the United States. We all hope to assume the initial structuring of...
by Philip Lawton | Sep 5, 2017 | Regulations
Calculating expected credit losses under IFRS 9 is easy. It requires little more than high school algebra to determine the aggregate present value of future cash flows. But it is not easy to ascertain the key components that are used by the basic equation—regardless...
by Philip Lawton | Aug 4, 2017 | Regulations
Under IFRS 9, Financial Instruments, banks will have to estimate the present value of expected credit losses in a way that reflects not only past events but also current and prospective economic conditions. Clearly, complying with the 160-page standard will require...
by Philip Lawton | Apr 27, 2017 | Business Analytics
The Federal Reserve and the OCC define model risk as “the potential for adverse consequences from decisions based on incorrect or misused model outputs and reports.”[1] Statistical models are the core of stress testing and credit analysis, but banks are increasingly...
