Loss Given Delay

Mūlārtha — Sun, 09 Aug 2026 06:32:21 GMT

In brief. Distress is rarely sudden. By the time a company defaults, the causes have usually been in plain sight for months, sometimes years, either not noticed or noticed and not acted upon. What a lender finally loses depends on two things, (i) the chance a borrower defaults and (ii) the loss if it does. Both grow with every month the stress goes unacted. Monitoring that once ran on spreadsheets and lagged the truth by at least 2-3 months can now run continuously. This publication is about closing that gap.

Distress is rarely sudden. A collapse is an incident at a point in time. The causes behind it, in the balance sheet and the income statement, have usually been in open visibility for weeks, months, even years. They were either noticed and not acted upon, or acted upon ineffectively.

The sequence runs healthy, then stressed, then distressed. A company moves from one stage to the next when people do not act on the first signs of stress, or notice them and start papering over them.

What a lender loses turns on two numbers. The first is the probability that a borrower defaults. The second is the loss the lender takes if it does. There is a latency between the moment a stress marker appears and the moment anyone acts on it, and in that gap the recoverable value continually drains away. Every month of delay widens both numbers.

Historically, credit monitoring has been, and continues for the most part to be, manual and reactive. It runs on a trinity of excel, email and pdf, all prone to fat finger risk and misinterpretation. It lags real results by 60 to 90 days, if the borrower furnishes the information at all. Today the same monitoring can run continuously across an entire portfolio, rule based rather than emotion based, and it flags the drift far earlier. That is what makes acting early possible, at scale.

This publication is one argument in three parts. Why the real cause of distress is so often not the one on the file, and sometimes stays hidden. How the way a workout is planned and run can preserve or destroy value. And how data, analytics and AI can catch a breach while there is still time to act on it.

Recovery, in a distressed workout, is what you get from a dead or dying asset. It is salvage. Value is preserved, and sometimes enhanced, only when you go to the root cause and fix it. That is what the name is for. Mūlārtha: the root of value.

Disclosure and independence: The author holds board and advisory roles across fintech, RegTech, AI, and alternate-asset firms. The writing covers problems and categories, not products, and endorses no firm, including those he is tied to.

This publication is commentary and general information, not financial, legal, or investment advice. Decisions about a specific situation should be taken with advisers who know its particulars.