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where rMA,t is the monthly return from a portfolio of merger arbitrage investments, rf,t is the Treasury bill rate at time t, rS&P,t is the monthly return to the S&P 500, and t is the error term. Beta in this equation measures the covariance of merger arbitrage returns with market returns. If merger arbitrage is indeed market neutral, then beta should be indistinguishable from zero. The constant term, alpha, provides a measure of excess return generated by merger arbitrage after controlling for systematic risk. Assuming that the CAPM is the appropriate model to estimate the risk in merger arbitrage, and assuming that the market is ef cient, alpha should be indistinguishable from zero. Exhibit 7.5 presents results from estimating equation (7.2). The equation is estimated using monthly returns from Hedge Fund Research (HFR) for 1990 2001 and monthly returns simulated from the Mitchell and Pulvino database of individual mergers for the 1963 1998 period.7 The beta calculated using HFR returns is 0.14, which suggests that merger arbitrage returns have little systematic risk. Similar results are

The inventory system monitors a user's level of consumption and makes orders from a supplier when stocks run low. For specialty parts the inventory system might order directly from the supplier. Look at your local auto parts store, for example. You walk in looking for a specific part, say a new set of pistons. The store does not keep pistons in stock because they are rarely ordered, so the clerk brings up the order page, types in the appropriate part numbers, and tells you it will take four days to get your pistons. In inventory systems, the idea is to replace the old paper shuffling and phone calls with an automated system. The auto parts store is one place where this system is slowly taking over. When the clerk brings up the order screen, he or she can tell you whether parts are in the local warehouse, in the importer's warehouse, or only in the factory in Japan all from a single screen. Here, one interface has interacted with four different systems to find out how long it will take your order to arrive. Architecture The architecture of most B2B inventory applications is relatively simple. Depending on the style, there may or may not be a user interface. However, what the application will feature is a connection to one or more external systems the suppliers. As illustrated in Figure 2 3, these systems may be unidirectional or bi directional. Unidirectional systems will send out requests for information and make orders of the supplier. Bi directional systems may also enable the supplier to request information (stock levels, for example) from the consuming business.

Source: Bruce I. Jacobs and Kenneth N. Levy, Long/Short Equity Investing, Journal of Portfolio Management (Fall 1993).

General MOM API interface Description Send a message to a speci c queue Read a message from a queue. If the queue is empty, the call will block until it is nonempty Read a message from the queue. If the queue is empty, do not block Allows the message service to inform the client of the arrival of a message using a callback function on the client. The callback function is executed when a new message arrives in the queue

Jahanshahi, M., Jenkins, I.H., Brown, R.G., Marsden, C.D., Passingham, R.E., & Brooks, D.J. (1995). Self-initiated versus externally triggered movements. I: An investigation using measurement of regional cerebral blood ow with PET and movement-related potentials in normal and Parkinson s disease subjects. Brain, 118(Pt. 4), 913 933. Jenkins, I.H., Jahanshahi, M., Jueptner, M., Passingham, R.E., & Brooks, D.J. (2000). Self-initiated versus externally triggered movements. II: The effect of movement predictability on regional cerebral blood ow. Brain, 123(Pt. 6), 1216 1228.

The header elements, consisting of the bank name and logo A table to display the tasks that are added to the list Text controls to accept the task details and their corresponding time slots HTML buttons to add and delete tasks from the list

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