Martin Heller
Contributing Writer

Financial turmoil: the elephant in the room

analysis
Sep 19, 20083 mins

Martin reflects on this week's financial turmoil, its implications, and how little it was covered in the technical press

When the twin towers went down in 2001, I was at a small, geographically distributed Web startup. We all sat stunned in our offices up and down the east coast, emailing and calling each other, wondering what to do; we eventually pulled ourselves together and created a little memorial on our home page. The world seemed to lose interest in the Web after that, at least for a few months, although in fact the dot-com bubble had already burst, and with it our dreams of eventually taking the company public and securing our futures.

Even though this week’s turmoil in the stock market didn’t have the drama of a terrorist attack, it was no less scary. For some reason, though, we in the technical press weren’t saying much about it: outside of a few financially-oriented technical reporters and bloggers, we kept on reporting about things like Microsoft’s advertising campaign and Sarah Palin’s email instead of talking about the elephant in the room. Because that’s our job, nyet? It’s the Wall Street Journal’s and the New York Times’ and the Financial Times’ job to talk about the markets.

Still, for retirees, a few months ago it was unthinkable that a life’s savings that was prudently invested in the boring interest-bearing preferred stocks of large, old investment banks such as Lehman Brothers could ever be disrupted. This week, Lehman quickly and quietly faded away, as the snark it was hunting turned out to be a boojum.

For baby boomers contemplating retirement in the next five or ten years (as I am), the prospect was less dire, but still ugly: who wants to have to work into their seventies because of a financial crisis brought on by other people’s greed, a glaring failure of regulation, and broken risk management at major institutions?

As it happened, I came out of this whole, although shaken. By pure chance, my largest investment of the last couple of years had finally worked last month, I had sold it off, and I was sitting on “dry powder”: over 20% of my retirement portfolio was in bank deposits. I was able to buy good stuff cheap on the two days when the market was in the deepest panic: I literally called my broker and asked “Is there blood in the streets?” I had to steel myself not to look at my alarming paper losses and the potential for the entire market to collapse, while I bought quality stocks that I and my broker felt had been oversold.

I felt better about the risk I had taken when I heard that Warren Buffet had essentially done the same thing, albeit on a much larger scale. And it worked, or at least it has so far, for both of us.

Knock on wood for me, will you? I think Warren can probably take care of himself.

Martin Heller

Martin Heller is a contributing writer at InfoWorld. Formerly a web and Windows programming consultant, he developed databases, software, and websites from his office in Andover, Massachusetts, from 1986 to 2010. From 2010 to August of 2012, Martin was vice president of technology and education at Alpha Software. From March 2013 to January 2014, he was chairman of Tubifi, maker of a cloud-based video editor, having previously served as CEO.

Martin is the author or co-author of nearly a dozen PC software packages and half a dozen Web applications. He is also the author of several books on Windows programming. As a consultant, Martin has worked with companies of all sizes to design, develop, improve, and/or debug Windows, web, and database applications, and has performed strategic business consulting for high-tech corporations ranging from tiny to Fortune 100 and from local to multinational.

Martin’s specialties include programming languages C++, Python, C#, JavaScript, and SQL, and databases PostgreSQL, MySQL, Microsoft SQL Server, Oracle Database, Google Cloud Spanner, CockroachDB, MongoDB, Cassandra, and Couchbase. He writes about software development, data management, analytics, AI, and machine learning, contributing technology analyses, explainers, how-to articles, and hands-on reviews of software development tools, data platforms, AI models, machine learning libraries, and much more.

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