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These are the user uploaded subtitles that are being translated: 1 00:00:00,000 --> 00:00:03,120 Offsets are useful tools for scenario analysis. 2 00:00:03,120 --> 00:00:06,780 We can see how in this example when we change the scenario, 3 00:00:06,780 --> 00:00:08,759 it changes the assumptions here, 4 00:00:08,759 --> 00:00:10,949 and when the assumptions are changed, 5 00:00:10,949 --> 00:00:13,844 it changes the forecasted Sinek metrics here. 6 00:00:13,845 --> 00:00:16,005 Let's build one scenario analysis. 7 00:00:16,004 --> 00:00:18,449 I split up the video into various steps. 8 00:00:18,449 --> 00:00:20,864 So, they're building on each concept. 9 00:00:20,864 --> 00:00:26,009 For starters, lets define the four steps to take to create a financial forecast. 10 00:00:26,010 --> 00:00:28,460 Step 1 is to calculate 11 00:00:28,460 --> 00:00:34,685 the operating statistics that include the gross and operating margin, and revenue growth. 12 00:00:34,685 --> 00:00:36,980 This is all based on the historical data, 13 00:00:36,979 --> 00:00:39,859 which you can find in the income statement over here. 14 00:00:39,859 --> 00:00:41,155 So, this is step 1. 15 00:00:41,155 --> 00:00:42,590 The first box here. 16 00:00:42,590 --> 00:00:45,665 Step 2 is to create the scenarios. 17 00:00:45,664 --> 00:00:48,979 I have them here in this box here. 18 00:00:48,979 --> 00:00:51,559 So, this is the scenario that we are going to be creating. 19 00:00:51,560 --> 00:00:55,135 Typically, we have a strong base and weak case. 20 00:00:55,134 --> 00:00:59,019 Some business analysts choose to have two additional scenarios as well, 21 00:00:59,020 --> 00:01:00,980 we're going to stick with three cases. 22 00:01:00,979 --> 00:01:03,949 Then come the assumptions as part of step 3. 23 00:01:03,950 --> 00:01:09,170 These assumptions change in response to the scenario that is chosen over here. 24 00:01:09,170 --> 00:01:11,210 This is where we're going to use offset. 25 00:01:11,209 --> 00:01:16,339 Finally, step 4 may be develop the forecasted scenarios that 26 00:01:16,340 --> 00:01:18,740 change dynamically based on 27 00:01:18,739 --> 00:01:22,359 the scenarios that are chosen because that affects the assumptions, 28 00:01:22,359 --> 00:01:26,545 and the assumptions go inside the forecasted metrics. 29 00:01:26,545 --> 00:01:28,939 So, for step 1, 30 00:01:28,939 --> 00:01:30,319 we need to calculate 31 00:01:30,319 --> 00:01:34,279 our gross and operating margin here for a based on a historical data. 32 00:01:34,280 --> 00:01:38,015 So, we have this original data that we have seen before, 33 00:01:38,015 --> 00:01:45,390 and the gross margin is basically one minus the cost of revenue or cost of goods sold, 34 00:01:45,390 --> 00:01:49,370 those two terms are interchangeable over the total revenue. 35 00:01:49,370 --> 00:01:51,800 So, you plug in this formula in here, 36 00:01:51,799 --> 00:01:54,974 copy and paste it, and it gives us the gross margin. 37 00:01:54,974 --> 00:02:01,189 For operating margin, this is your operating profit over your total revenue. 38 00:02:01,189 --> 00:02:04,879 So, now we have our historical margin ratios here. 39 00:02:04,879 --> 00:02:10,250 I've plugged them in here using our index and match functions. 40 00:02:10,250 --> 00:02:16,025 So, I've referred to this as the named box for gross margin you can see, 41 00:02:16,025 --> 00:02:20,180 and this is named box for operating margin. 42 00:02:20,180 --> 00:02:24,159 So, I just said okay within the gross margin array, 43 00:02:24,159 --> 00:02:30,530 give me an exact match for where the ticker symbol and your- as you can see, 44 00:02:30,530 --> 00:02:34,550 ticker symbol and your are matched and give me 45 00:02:34,550 --> 00:02:39,105 that particular gross margin or operating margin, 46 00:02:39,104 --> 00:02:43,049 and plug it in for me into these cells. 47 00:02:43,050 --> 00:02:44,670 So, that's what I did here, 48 00:02:44,669 --> 00:02:46,034 and then four operating margin, 49 00:02:46,034 --> 00:02:50,465 I reference the array is referring to the operating margin 50 00:02:50,465 --> 00:02:56,585 saying give me that exact ticker symbol and your match and plug in that value. 51 00:02:56,585 --> 00:02:58,760 Revenue growth, you're just taking 52 00:02:58,759 --> 00:03:05,974 your current year's revenue over your previous year's revenue minus one. 53 00:03:05,974 --> 00:03:09,004 What essentially does is it gives you the difference 54 00:03:09,004 --> 00:03:12,409 between the two years of revenue based on 55 00:03:12,409 --> 00:03:15,109 last year's revenue so you can see how much 56 00:03:15,110 --> 00:03:20,075 the revenue growth has occurred in the current year based on last year's revenue. 57 00:03:20,074 --> 00:03:22,469 I'm using HPE as a ticker symbol, 58 00:03:22,469 --> 00:03:25,129 so you can see all the 3-years historical data. 59 00:03:25,129 --> 00:03:29,990 You can see this looks different for the companies with just two years data, 60 00:03:29,990 --> 00:03:34,165 but I delete the financial forecast would actually be for one company, 61 00:03:34,164 --> 00:03:35,359 for your own company so, 62 00:03:35,360 --> 00:03:37,820 you're going to have this as a dynamic array. 63 00:03:37,819 --> 00:03:43,400 Okay. So, we have the historical upgrading statistics here and step 1 is done. 5349

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