The simultaneous buying and selling of a portfolio of at least 15 different stocks valued at more than $1 million using computer programs to initiate the trades is called O artificial intelligence. O block arbitrage. O program trading. O block trading.
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Program trading is a technique for trading stocks as a group rather than individually, defined as a minimum of at least 15 different stocks with a maximum value of $1 million.
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Which market player is this? Drag the market player to the box below. Portfolio Managers Retail Traders Trade using a style of algorithmic trading that targets arbitrage opportunities Referred to as "Program Traders" due to the significant investment needed in state-of-the-art technology Market Makers Proprietary Traders Drop Here High Frequency Traders Structured Equity Traders
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Day traders typically buy and sell stocks (or other investment instruments) during the trading day and sell all investments by the end of the day. Exercises 57 and 58 are based on the following table, which shows the closing prices on January 9, 2009, of 12 stocks selected by your broker, Prudence Swift, as well as the change that day.$$\begin{array}{|l|c|c|}\hline \text { Tech Stocks } & \text { Close } & \text { Change } \\\hline \text { AAPL (Apple) } & \$ 90.58 & -2.12 \\\hline \text { MSFT (Microsoft) } & \$ 19.52 & -0.60 \\\hline \text { NOK (Nokia) } & \$ 15.21 & -0.16 \\\hline \text { NT (Nortel) } & \$ 0.39 & 0.10 \\\hline \text { RIMM (Research in Motion) } & \$ 47.99 & 1.49 \\\hline \text { S (Sprint Nextel) } & \$ 2.59 & 0.01 \\\hline \text { Non-Tech Stocks } & & \\\hline \text { DIS (Walt Disney) } & \$ 22.31 & -0.59 \\\hline \text { DUK (Duke) } & \$ 15.27 & -0.14 \\\hline \text { ED (Con Ed) } & \$ 39.66 & 0.20 \\\hline \text { FE (First Energy) } & \$ 48.90 & 1.14 \\\hline \text { MO (Altria Group) } & \$ 15.48 & 0.38 \\\hline \text { NVS (Novarnis) } & \$ 48.16 & -1.46 \\\hline\end{array}$$ On the morning of January 9,2009 , Swift advised your friend to purchase a collection of three stocks chosen at random from those listed in the table. Your friend was to sell all the stocks at the end of the trading day. a. How many possible collections are possible? b. How many of the collections in part (a) included exactly two tech stocks that increased in value by the end of the day? c. Using the answers to parts (a) and (b), what would you say the chances were that your friend chose a collection that included exactly two tech stocks that increased in value by the end of the day?
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