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Many of the vegetables on your corner grocery store s shelves are likely better travelled than you are. With modern storage and transportation techniques, foods that were formerly seldom available in Canada especially when out of season are now available year-round. This availability is wonderful in that it allows for more food choices, more diverse menu planning, and so forth, but it does come at a price. In addition to the higher cost of foods that have been shipped great distances, certain environmental issues must also be considered. For example, many vegetables for sale in Canada especially when local produce is not available come from the southern U.S. and beyond. To get them to Canada requires, of course, transportation (truck, rail, ship, and so forth), which requires fuel, generates carbon, and has other affects on the environment. When you buy food grown locally, you support local farmers, their families, and your community s economy. Purchasing locally means less fossil fuel is used for and less greenhouse gas created from transportation. Also, locally produced foods are usually fresher because they re harvested when ripe and immediately ready to enjoy instead of being shipped from afar and needing to then ripen during transportation or on supermarket shelves. (Having said all this, we wouldn t want to leave the impression that this is a black and white issue. Some contrarians point out the benefits of choosing more remotely grown produce, including the efficiencies of farming in southern climes where a greater number of crops per year can be harvested. In our opinion, however, the many pros of buying locally grown produce outweigh the cons.)

As the patient repeatedly bumps into this restriction or attempts to open beyond it, the retrodiscal tissue is forcibly stretched, releasing in ammatory and pain mediators into the synovial uid.

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Once we have nished de ning each of the strategies, the next section of this chapter will list a series of speci c questions that can be addressed to hedge fund managers during the due diligence process. Exhibit 15.4 highlights each of the major hedge fund strategies and places them within de ned risk categories. Based on a simplistic form of risk, standard deviation, the major hedge fund strategies fall into one of the three risk categories. Lower-risk strategies are represented by strategies that had annualized 10-year standard deviations less than 5%. Of the four strategies that fall into this risk category, equity market neutral had the lowest annualized standard deviation, at 3.1%. The higher-risk strategies are represented by strategies that had annualized 10-year standard deviations in excess of 10%. Of the four strategies that fall into this category, emerging markets exhibited the highest standard deviation, at 23.8%. The middle level is represented by strategies that fall in between the other two (5% to 10%).

Note: All trade summaries include $100 round turn trade deductions for slippage and commissions. Data source: CQG, Inc.

9

Video assets can be found in different media and formats within the head-end environment, and each type will have different specific threats and countermeasures related. Some of the countermeasures required to reduce the chance of unauthorized access to assets are as follows. 6.2.2.1 Satellite Feed Content aggregators and some content owners distribute contents via satellite links. IPTV service providers use satellite receivers to obtain the signal. Most satellite receivers include key management applications that allow senders to encrypt the stream and share the key with the intended recipients of the signal. These signals may be used for a long period of time

Table 7.9 Major mid-infrared bands of common plant carbohydrates [50, 51] Carbohydrate type -D-glucose -D-glucose Methyl -D-glucopyranoside Methyl -D-glucopyranoside -D-fructose -D-sucrose -D-cellulose Cellulose Lignin Hemicellulose Pectin Wavenumber (cm 1 ) 915, 840 915, 900 900, 845 850 873, 869 910, 869, 850 916, 908 1170 1150, 1050, 1030 1590, 1510 1732, 1240 1680 1600, 1260, 955

the historical variations in performance. This book will henceforth refer to returns-based style analysis as Sharpe style analysis and the derived style indexes as Sharpe style indexes. Sharpe s style analysis utilizes quadratic programming techniques to nd the combination of benchmarks that determines the lowest squared error term from the regression of the portfolio (fund) under review against a series of benchmarks. While this sounds pretty dif cult, this book demonstrates that anyone with Microsoft Excel can create a style analysis template relatively easily. Exhibit 10.1 represents an example of the style worksheet that we discuss in this chapter. Use it as a reference point, but understand that it can easily be altered to meet any user s speci c needs. To calculate the style analysis outlined in the style worksheet, you need the data for portfolio and benchmark returns, as well as Microsoft Excel.

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