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Hughes de nes the lifetime value of the average customer as the net present value of the pro t that you will realize on the average new customer during a given number of years. 18 Hughes illustrates the calculation of customer lifetime value using the example of a chain of children s clothing stores he calls Mary Anne s Closet.19 For purposes of the exercise, Hughes assumes that Mary Anne s Closet has approximately 100,000 customers, with sales of about $12 million per year and pro ts of about $3.6 million per year. For the last two years, the store has offered its customers a loyalty program. Participating customers were given an identi cation card and offered a 5 percent discount on their purchases if they showed the card each time they shopped. Through the loyalty program, Mary Anne s Closet has assembled two years data on the names, addresses, and purchase history of 10,000 customers who started shopping with the store two years ago. Hughes calculates the average lifetime value of Mary Anne s Closet s customers as summarized in Exhibit 4.3 and discussed in detail following.

The emulator programming environment tends to be more forgiving than that for native code running on phone hardware For example, code which uses non-constant static variables will compile for the emulator, but will not compile for the ARM platform (see 10) Some code may run successfully on the emulator but fail on a real phone For example, it is possible for one process to access the memory of another process on the Windows emulator without causing a memory exception On the hardware, where memory protection is enforced by Symbian OS memory management, the same code will generate a memory exception Symbian has tried to ensure that the Windows emulator provides as faithful an emulation as possible of Symbian OS running on target hardware The emulator has processes and thread scheduling that are almost identical to those on real Symbian OS phone hardware.

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However, there are some differences, for example the memory model for a real phone is different to that of the emulator The underlying hardware is also different, so it is not possible to use the same device driver and hardware abstraction layer code on both the emulator and a real phone For this reason, the emulator cannot be used for low-level programming such as that for device drivers Some other differences in the emulation of Symbian OS on Windows compared to a real hardware platform include the following Bootstrap: on real phones, the rst Symbian OS program to run is a bootstrap program, which performs various hardware initialization tasks before starting the kernel The emulator does not need to perform these tasks, and simply starts the kernel The remainder of the boot process is similar on the emulator to the native target.

File system support: the emulator can emulate a range of le system and drive types, but the performance and size of the emulated drives may not be exactly the same as expected for real hardware Floating-point behavior: Symbian OS provides access to IEEE-754 single-precision and double-precision oating-point values through the types TReal32 (C++ float type) and TReal64 (C++ double type) respectively The emulator is implemented on Intel x86 processors which have oating-point hardware, so this support is used..

15 So already Derek Elley, The Epic Film: Myth and History (London: Routledge and Kegan Paul, 1984), 105.

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Discussion: A long synthetic straddle is a delta neutral trade that consists of shares of stock against long options A long synthetic straddle with multiple contracts can be adjusted back to delta neutral as the trade progresses The risk pro le is similar to a straddle but has a U-shaped risk curve instead of a V-shaped one A trader doesn t need to use ATM options, but this is the easiest way to create a long synthetic straddle 24 Calculate the values for the following long synthetic straddle example: Long 100 Shares of DELL @ $3510 Long 2 November DELL 35 Puts @ 220 Answer: Maximum reward = Unlimited Maximum risk = [(2 220) + (3510 35)] 100 = $450 {Net debit of options + [(Price of underlying stock at initiation option strike price) number of shares]} Upside breakeven = (3510 + 4.

p1 = 1000/30,

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