Inventory Aging is a rather innocuous looking member of the band of (now) seven metrics that, under the Volcker rule, banking entities with significant trading assets and liabilities are required to calculate daily and report monthly.
As written, the metric description seems straightforward enough:
Inventory Aging generally describes a schedule of the trading desk’s aggregate assets and liabilities and the amount of time that those assets and liabilities have been held. [It] should measure the age profile of the trading desk’s assets and liabilities and must include two schedules, an asset- aging schedule and a liability-aging schedule.
The graphic below broadly outlines the processes of asset/liability tagging, matching, sorting and netting of trades involved in generating an inventory aging schedule.
Today’s Senate Sub-committee hearing on last year’s credit derivatives trading loss at JP Morgan’s CIO office makes, in some segments, for riveting Q&A. The Senate sub-committee report released yesterday (as well as JPM’s own internal report) also makes for very compelling reading.
Both reports, and the sub-committee hearing, highlight some very specific control and reporting issues that are unlikely to be unique to JPM. The hearing also was (somewhat) critical of the Office of the Comptroller of the Currency’s (OCC) oversight. It would seem more likely than less that regulatory oversight of these issues will see increased focus and scrutiny across the industry.
Below, we list nine (9) possible implications. Using our schematic of key post-DFA process and data flows within OTC derivatives infrastructure, we also highlight the functional areas we believe may see such increased regulatory oversight scrutiny as a consequence.
Dealer firms will be well served to consider conducting current state analyses and (more…)
The Volcker Rule mandates that banking entities cease proprietary trading, subject to certain exceptions for “permitted activities” including market making and risk-mitigating hedging.
The 17 quantitative metrics are grouped into 5 metrics groups (as listed to the left)
Each metrics group variously seeks to establish that a bank’s risk taking appetite, revenue profile, trading inventory and origination are all consistent with that of a market maker providing liquidity and hedging any residual risks incurred in the provision of this service.
Risk Management: the 4 metrics in this group try to establish that the bank’s trading units retain risk that is not in excess of the size and type required to provide intermediation/market making services to customers.
Sources of Revenue: the 5 metrics in this group try to establish that the bank’s trading units’ revenues are earned primarily from customer revenues (fees, commissions and bid-offer spreads) and not from price movements of retained principal positions.