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File signatures were examined to evaluate whether the user attempted to hide les in plain sight by changing le extensions. We compared the le extension with its corresponding signature; since they matched, we were assured that no effort was made to obscure the le type. As a part of our routine analysis, Samir and I also searched e-mail les; these leave traces on computers that provide vital information and, in this case, they revealed the modus operandi. We found traces of Gomez accessing his private e-mail service, Gmail. We also saw spreadsheet attachments to e-mails that suggested that signi cant amounts of data had been uploaded and downloaded through Gmail on various dates. We then conducted a series of experiments to determine the names associated with each message in the Gmail account and the result was astonishing. Numerous spreadsheets pertaining to CCL s debtors ledger and other nancial accounts were uploaded and downloaded on various occasions in the last three years. The resulting metadata analysis revealed the author as GMZ, which obviously indicated Alex Gomez. This was further con rmed when we discovered the laptop and its software programs were registered to GMZ. We recovered deleted invoices that were created by the same author. These documents were bookmarked and copied to our evidence folder, as was the metadata analysis. We also bookmarked several Web page entries relating to payments to an account at Bank of Commerce.

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Highlighting common subsets of the data can further identify trends in the data set and is illustrated using the automobile example. In Figure 4.17, the shaded area of the graphs are observations where the number of cylinders is 8 (as shown in the top left graph). The other graphs highlight where cars with 8 cylinders can be found on the other frequency distributions. For example, these cars are associated with poor fuel ef ciency as shown in the graph in the bottom right (MPG). In Figure 4.18, 4-cylinder vehicles are highlighted and it can be seen that the fuel ef ciency is generally higher.

No. of Stream(s)

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Polycarbophosphazenes, 29 31, 74 Polycarboranes, 31 step condensation syntheses, 53 exercise, 92 siloxane copolymer elastomers, 186 structure, 5 Polycarbosilanes exercise, 92 NMR results, 134 pyrolysis to silicon carbide, 54 reductive coupling syntheses, 79 80 ROP syntheses, 76 77 step condensation syntheses, 53 54 XPS, 166 Polycarbosiloxane telechelic, 87 exercise, 92 Polycyclams, metallated electrochemical synthesis, 65 Poly(dichlorophosphazene), 27 Poly(dimethylsilaferrocene), 23 structure, 6 synthesis, 70 72 Polyelectrolytes viscosity measurements, 110 112 Polyferrocenes as bio-sensors, 198 doped conductivity, 216 unsubstituted condensation synthesis, 46 electrochemical synthesis, 65 ROP synthesis, 70 73 reductive coupling synthesis, 79 80 Polygermanes dehydrogenation synthesis, 87 reductive coupling syntheses, 78 exercise, 92 Polyheterophosphazenes, 29 31, 74 Polyoxothiazenes, 30, 56 57 Polyphosphates connectivity, 5 structure, 5 Polyphosphazenes, 25, 27 30 anionic initiation, 69 aqueous acid soluble, 28 aqueous base soluble, 28 applications, general, 28 bio-sensors, 198 block copolymers, 86 87 blood compatible polymers, 198 bonding, 29 cationic initiation, 67 68 elastomers, 179, 183 186 aryloxy (PZ), 185 186

For both types of funds, incorporating the constant ow of new information into an investment process that can capture the premium available on merger arbitrage requires a complete business structure Arbitrageurs must have capabilities in nancial analysis, nancial modeling, legal analysis, and trading For example, a solid understanding of corporate nance and accounting is often necessary to estimate the level at which target and acquirer stocks will trade if the merger fails Financial analysis and modeling skills are required to analyze complex mergers involving collars, warrants, preferred stock, and other forms of payment Trading capabilities, while often viewed as less important than analytical capabilities, can have signi cant effects on merger arbitrage pro ts, because arbitrage spreads are typically so small Minimizing transaction costs and thereby maximizing returns requires an understanding of market microstructure and an ability to monitor order ow.

and k0 2rS rA Ar2 S 0 Equation (8.4-4) is rewritten as jrSj2 n2 l2 r 2 A 0 2p2 A 8:4-5

Finally, because merger agreements are lengthy and complicated legal documents, and because, under antitrust laws, every merger must be reviewed by antitrust authorities, arbitrageurs must be familiar with regulatory and contractual legal issues Although the list of required skills might seem long, the arbitrage community, like most other industries, outsources much of the work Legal and regulatory consultants, industry experts, corporate contacts, Wall Street analysts and traders, and other outside professionals are commonly hired to help the arbitrageur understand the risks and returns of individual deals A primary responsibility of the merger arbitrage portfolio manager is to aggregate the input on individual deals in order to manage overall portfolio risks This requires continuous monitoring of portfolio attributes such as sector concentrations, correlations between individual investments, and expected losses in the event of deal failure.

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As discussed above, merger arbitrage returns are for the most part immune to overall market movements, except when there is a large negative market return If the underlying market shift is great enough to cause deals to be terminated, the resultant loss can be much greater than initially anticipated An example of this occurred in 1994, when the Federal Reserve unexpectedly increased interest rates This caused many deals involving nancial stocks to be terminated, just as stock prices in the nancial sector declined Arbitrageurs suffered losses not only because of the deal terminations, but because the prices of the nancial stocks involved fell below even their predeal levels Arbitrageurs that had not accounted for the correlations between nancial sector deals found out that their seemingly well-diversi ed portfolios were actually highly concentrated Capturing the risk premium in merger arbitrage also requires critical mass.

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