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In this formula, i is the interest rate that the company pays for money rf is the risk factor (the risk that the money will not materialize at all) The waiting time is the length of time you have to wait before the money arrives. With consumers, this is usually 0 for the rst year, 1 year for the second year, and so on. With business-to-business selling, the picture is different. Most business-to-business customers pay in 30, 60, or 90 days. So the waiting time is determined by adding these periods to the years. Table 5-7 is a simple chart that is used for calculating the discount rate of a business-to-business situation. The net present value of pro ts is the gross pro ts divided by the discount rate. The cumulative NPV of pro ts is calculated by adding the pro ts from previous years to this year s pro ts.

Paprika is a potent antioxidant spice that helps to neutralize free radicals and support proper detoxification function. My grandmother used paprika to flavor vegetables, salads, and meat. So you see, this old family recipe for cabbage rolls has foods rich in essential nutrients and protective plant compounds to help the body s detoxification system reduce the risk of cancer. My parents continued this tradition. As a child, I remember eating a lot of fruits and vegetables. We had apple, cherry, and peach trees on our property and a garden of tomatoes, cucumbers, asparagus, beans, potatoes, peas, corn, peppers, cabbage, broccoli, cauliflower, blueberries, raspberries, strawberries, and rhubarb. And we gathered wild mushrooms as well. Ritually, my mother saved the flavonoid-rich cooking liquid from vegetables as a stock for soup, and she canned fruits and vegetables for the winter. This was a pretty common way for people to live, until the advent of fast foods. Today, my folks still have a pretty good-size garden and, thankfully, a great deal of vitality despite the fact that they are now in their eighties.

There is no need to look back for peaks and valleys in the filtered output, and to measure their amplitude, to determine the strength of a cycle There is also no need to use any other unusual technique, such as obtaining a correlation between the filter output and prices over approximately the length of one cycle of bars, as we did in 1997 Instead, if a strong cycle is detected by one of the filters in the bank, the pair of filter outputs can generate a trading signal at any desired point in the phase of the detected cycle Figure 10-l shows a single filter responding to a cycle of fixed amplitude (origina signal), with a frequency that is being swept from low to high (left to right on graph) The center of the filter was set to a period of 12.

Year 1 Years to wait Interest rate Risk factor Accounts receivable days Discount rate 0 6.80% 1.1 70 1.01 Year 2 1 6.80% 1.1 75 1.09 Year 3 2 6.80% 1.1 80 1.17

The second line down from the top (in-phasefilter output) illustrates the in-phase output from the filter as it responds to the input signal It is evident that as the periodicity of the original signal approaches the center of the filter s pass-band, the amplitude of the in-phase output climbs, reaching a maximum at the center of the pass-band As the periodicity of the original signal becomes longer than the center of the pass-band, the amplitude of the in-phase output declines Near the center of the pass-band, the in-phase output from the filter is almost perfectly aligned with the original input signal Except for the alignment, the in-quadraturefilter output (third line) shows the same kind of amplitude variation in response to the changing periodicity of the driving signal Near the center of the filter pass-band, the in-quadrature output is almost exactly 90 degrees out-of-phase with the in-phase output, Finally, the.

The customer lifetime value is calculated by dividing the cumulative NPV of pro ts in each year by the total number of newly acquired customers in this case, 45,000. In this example, newly acquired customers are worth $11,907 in their third year with WardChem.

fourth line depicts instantaneous power, as estimated from the filter outputs This represents the strength or amplitude of cyclic activity in the signal near the center of the filter pass-band The curve for instantaneous power is exceedingly smooth, reaches a peak when the signal has a periodicity matching the tuning of the filter, and declines thereafter In the chart, the center of the pass-band appears to occur at a period of 13, rather than 12, the period to which the filter was set The reason for the slight distortion is that the periodicity of the original signal was being rapidly swept from low to high Since the filter needs to look back several cycles, the spectral estimate is distorted Nevertheless, it seems apparent that trades based on the filtered output would be highly profitable.