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One reason that RE/MAX has continued to grow is that it has a culture that flows. It is flow that creates resuscitating power that fuels further growth. Flow is something that one senses in a company. When it clicks, speed is most apparent in decision making and in education. Flow allows the organization to stay balanced so that innovations are supported and not threatened resulting in new ideas to improve the dream. With flow, the dream happens everyday. Alignment, a word little understood, is what others see when there is flow. Training is the supporting mechanism to flow. In today s world, flow is a key driver in decision making, in recruiting champions, and in spawning good new ideas. All the HG/HI companies we studied have flow. (See Figure 6.3.)

Figure 5.2 shows price/yield relationships implied by modified duration for two of the three Treasury securities. While the slope of Treasury bill s modified duration function is relatively flat, the slope of Treasury STRIPS is relatively steep. An equal change in yield for the Treasury bill and Treasury STRIPS will suggest very different changes in price. The price of a Treasury STRIPS will change by more, because the STRIPS has a greater modified duration. The STRIPS has greater price sensitivity for a given change in yield. If modified duration is of limited value, how can we better approximate a security s price Or, to put it differently, how can we better approximate the price/yield property of a fixed income security as implied by the present value formula With convexity (the curvature of a price/yield relationship for a bond). To solve for convexity, we could go a step further with either the Hicks or the Macaulay methodology. Using the Hicks method, we would solve for the second derivative of the price/yield equation with respect to yield using a Taylor series expansion. This is expressed mathematically as (d2P /dY2)P , where P is the dirty price. To express this in yet another way, we proceed using Macaulay s methodology and solve for

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TABLE 6-1. Drying pools for foraging wading birds and waterfowl. Mean duration (days) and number of times (in parentheses) that inundated topographic depressions (drying pools) adjacent the Fort Kissimmee gauging station were isolated during wet (June September) and dry (November April) seasons of historic (prechannelization) and simulated (restored ood pulse) periods of record. Data are based on daily stages and topography of 13.2 km2 of oodplain adjacent the gauging station. Duration (and Number) of Periods Isolated Number of Depressions 2 1 25 17 2 Mean Area (ha) 0.01 0.26 0.22 0.55 0.43 Historic (1942 60) Wet 9.5(4) 17.0(7) 19.0(7) 22.8(6) 23.3(8) Dry 9.9(7) 16.2(9) 20.3(14) 22.1(19) 37.1(21) Simulated (1970 95) Wet 19.2(5) 25.4(8) 16.1(16) 19.4(19) 34.5(20) Dry 18.5(14) 22.7(17) 16.0(31) 14.1(12) 25.9(23)

Estimates of the prevalence of the symptoms of eating disorders and clinical eating disorders among female athletes range from less than 1% to as high as 75% (Gadpalle et al., 1987; Sundgot-Borgen, 1994; Warren et al., 1990). In a recent Norwegian study the prevalence of anorexia nervosa is 2.2%, bulimia nervosa 7.2% and subclinical eating disorders is 10%. These gures show a higher prevalence than among non-athletes. Furthermore, this study showed that eating disorders are more frequent among female elite athletes competing in aesthetic and weight-class sports than among other sport groups where leanness is considered less important (Figure 24.1). Only two previous studies on male athletes (wrestlers) (Lalim, 1990; Oppliger et al., 1993) have based their results on DSM diagnostic criteria (DSM-III-R). They reported 1.7% and 1.4%, respectively, of male wrestlers with bulimia. A recent Norwegian study reported the prevalence of eating disorders to be as high as 8% among male elite athletes and 0.6% in age-matched controls. As many as 4.0%, 3.5% and 0.4% met the criteria for EDNOS, bulimia nervosa and anorexia nervosa, respectively (Torstveit et al., 1998). The prevalence of clinical eating disorders in male elite athletes is highest among those competing in weight-class sports (i.e. wrestling, rowing) and gravitation sports (ski jumping, high jump) (Figure 24.1).

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