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FREE online courses on Information Technology - Chapter 3 THE IMPACT OF INFORMATION TECHNOLOGY - Technology Transforms the Securities Industry

 

The history of the stock exchanges has been constant increases in volume. Form an information processing standpoint, of course, the value of a transaction does not affect back-office functions. If one share or a million shares change hands, the same processing is required. In the 1960s the New York Stock Exchange was closing early because it could not keep up with the paperwork for processing and clearing trades. Yet the volume then was a fraction of today's volume.

 

As shown in Table above, the securities industry invested in extensive automation of back-office functions, first for handling trades and then to provide information for stockbrokers and traders. Data became available on-line to account representatives, showing them their clients' position so that they could provide better service. These systems eliminated a bottleneck of time in processing by speeding up the flow of transactions. The New York Stock Exchange developed systems to facilitate routing orders faster to the floor without requiring a floor trader. Brokerage firms also streamline their communications with floor brokers so orders get to the broker quickly.

 

A second-order impact of this technology is its ability to make possible new trading strategies; for example, program trading is greatly facilitate by rapid order execution.

 

Program trading involves buying or selling a basket of stocks that mirrors a stock index like the S&P 500. At the same time, the program trader must buy or sell the corresponding future index on the Chicago exchange. The trader sells the more expensive of the two and uses the proceeds to but the less expensive. This kind of arbitrage has generated a great deal of trading volume and controversy.

 

First, program trades are created through computer programs that contain the logic of the program trader. These programs search for an imbalance in the price of the stock index future and the underlying basket of stocks that make up the index then notify the trader who can generate the appropriate buy and sell orders. The orders are probably created by the computer and sent to automated exchange systems for execution. Because the price difference exists for only a short period of time, it is important for execution to be as fast as possible. If an order is too large for an automated exchange system, the trader can generate a large for an automated exchange system, the trader can generate a large number of trading documents for floor brokers using the computer again. Various studies of program trading do not blame it for increased market volatility or reduced liquidity. In terms of third-order impacts of the technology, it seems logical there is an effect on volatility and liquidity as technology facilities large-sized holdings and trades.

 

When the stock market crashed in October 1987, one mutual fund sold more than $1 billion worth of securities. Without information technology, could that firm have managed a multibillion-dollar portfolio? Without technology, could it have generated enough sell orders to liquidate a billion dollars worth of securities? Other firms that day liquidated securities worth hundreds of millions of dollars. The combined impact and demand for liquidity sent prices downward, possibly reinforced by another tool called portfolio insurance. It is possible that program trades and portfolio insurance interacted early during the crash to put pressure on prices. (Later, however, price information was running so far behind that program trading does not seem to have been possible.)

 

 

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