Debt of Honor - Tom Clancy [188]
He announced that he had "five hundred Citi at three," meaning five hundred thousand shares of the stock of First National City Bank of New York at eighty-three dollars, two full points under the posted price, clearly a move to get out in a hurry. It was a good, attractive price, but the market hesitated briefly before snapping them up, and then at "two and a half."
Computers also kept track of trading because the traders didn't entirely trust themselves to stay on top of everything. A person could be on the phone and miss something, after all, and therefore, to a remarkable degree, major institutions were actually managed by computers, or more properly the software that resided on them, which was in turn written by people who established discrete sets of monitoring criteria. The computers didn't understand the market any more than those who programmed them, of course, but they did have instructions: If "A" happens, then do "B." The new generation of programs, generically called "expert systems" (a more attractive term than "artificial intelligence") for their high degree of sophistication, were updated on a daily basis with the status of benchmark issues from which they electronically extrapolated the health of whole segments of the market. Quarterly reports, industry trends, changes in management, were all given numerical values and incorporated in the dynamic databases that the expert systems examined and acted upon, entirely without the judgmental input of human operators.
In this case the large and instant drop in the value of Citibank stock announced to the computers that they should initiate sell orders on other bank stocks. Chemical Bank, which had had a rough time of late, the computers remembered, had also dropped a few points in the last week, and at the three institutions that used the same program, sell orders were issued electronically, dropping that issue an instant point and a half. That move on Chemical Bank stock, linked with the fall of Citibank, attracted the immediate attention of other expert systems with the same operational protocols but different benchmark banks, a fact that guaranteed a rippling effect across the entire industry spectrum. Manufacturers Hanover was the next major bank stock to head down, and now the programs were starting to search their internal protocols for what a fall in bank-stock values indicated as the next defensive move in other key industries.
With the money realized by the Treasury sales, Columbus started buying gold, both in the form of stocks and in gold futures, starting a trend from currency and into precious metals. The sudden jump there went out on the wires as well, and was noted by traders, both human and electronic. In all cases the analysis was pretty much the same: a sell-off of government bonds, plus a sudden jump in the Discount Rate, plus a run on the dollar, plus a building crash in bank stocks, plus a jump in precious metals, all combined to announce a dangerous inflationary predictor. Inflation was always bad for the equities market. You didn't need to have artificial intelligence to grasp that. Neither computer programs nor human traders were panicking yet, but everyone was leaning forward and watching the wires for developing trends, and everyone wanted to be ahead of the trend, the better to protect their own and their clients' investments.
By this time the bond market was seriously rattled. Half a billion dollars, dumped at the right time, had shaken loose another ten. The Eurodollar managers who had been called back to their offices were not really in a fit state to make rational decisions. The days and weeks had been long of late with the international trade situation, and arriving singly back at their offices, each asked the others what the devil was going on, only to learn that a lot of U.S. Treasuries had been sold very short, and that the trend was continuing, now augmented by a large and very astute American institution. But why? they all wanted