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344 | 42.57% |
| Option C |
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107 | 13.24% |
| Just tell me, I'm too stupid to figure it out. |
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167 | 20.67% |
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#101 (permalink) |
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Junior Member
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Assignment 3
You are in discussions with an advertiser for a special deal on affiliating their product. The advertiser pays you NET30 (30 days after the commission was registered). This means if you sent leads worth of $ 1000 in commissions one day, you are credited that amount 30 days later. Currently you send leads worth $ 40 000 in commissions every month. You offer this deal to the advertiser: "You can decrease my commissions by 1 % if you pay me NET10 from now on." Under what condition does he accept your offer? My Answer: I would assume the advertiser wants the potential to make more money than they're giving up. The 1% is really insignificant here, it's the 20 day difference in payments that affects the outcome. With 40k a month, that comes out to 1,333.33 a day (30 day month). With that daily income, we multiply it by 20 days = 26,667 and take out the 1% commission decrease to get $26,400 dollars you make in 20 days at the current, non-reinvested rate. Beat this and the advertiser should consider. Taking that 20 day total, you need to show the advertiser that you can reinvest your payments every 10 days to offset the risk they take by fronting the cash to you while they wait for their payment on the backend from customers, transaction cycle times, and processing which could be instant or have a "14 day trial" where they get the value back later than the NET10 you want. With that, we need a little bit more information about how each side is making the money, how the advertiser is getting paid and on what terms, and what kind of metrics you're getting on your investment as the affiliate, namely the ROI and how the speedy payments can grow past that 26,400 mark in 20 days. Assuming you get an ROI of say 35%, you're in full swing getting commissions every 10 days on the new terms and you reinvest 100% instead of renting a Lambo for the weekend... 10 x 1,333.33 = 13,333,33 *1.35 = $18,000 (Note: you have two 10 day periods in the difference of payments to grow your return in hopes of surpassing the 30 day value that is already there, this does not count towards it as this is your starting value without the new NET10. In other words, you make this currently and begin to take advantage of NET10 the following week.) 18,000 x 1.35 = $24,300 (day 10 of 30days with NET10...the idea behind this is that you have added some value to the daily investments that, when compared with the previous 30 day total, will be of more value to the advertiser. That and it provides a certain % cushion against the risk the advertiser faces of non-payment and thus in fronting you the money; based on the assumptions here). 24,300 * 1.35 = $32,805 at day 30 vs the $26,400. With these calculations and assumptions, the benefit to the advertiser would be that when you reinvest your earnings, you create an additional 6,405 in revenues on top of the $26,400 or 24.5% return. If the advertiser has a greater risk than 24.5% of providing a faster payment (ie chargebacks and cancellations or just non-payments), it may not be a good idea based on the numbers. however, if their risk is that bad already they probably have a poor product. I hope that made sense.
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#102 (permalink) |
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Junior Member
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Assignment 4
You have a website that is budgeted to generate $ 27 000 in revenues pr year the next 4 years. Webhost costs are $ 1 000 pr year. Advertising costs are $ 2 000 pr year. You outsource the article writing for the website. You will put on 40 articles pr month, 25 of which are 600 words (per article). The rest are 1000 words per article. You will pay the article writer $4/100 words. It is expected that you can sell it for $ 25 000 in 4 years. Someone is offering you $ 50 000 for the website now. The rate of return is 10 %. What do you do - sell it now or keep it running and then sell it after 4 years? Answer: Fun little problem, good thing I have my financial calculator from college handy...I may be rusty so this could be off, but here it goes. The key to this problem is to get the NPV of your website when taking into consideration the cash flows of each year and the cash flow in year 4 + sale price. If it's more than 50,000 you hold it and sell. If it isn't, take the money and run. Assumptions here are that there are no other investments that the 50,000 now can be put into and that we just use the data here. This can definitely be done in Excel, but I had my calculator handy so bear with me. $27,000 RevenueYr - (3,000) Upkeep - (14,400) Content -(25x600)+(15x1000)= 30,000 Words/100 x $4 =$1200/month ______________ $9,600 profit a year. note: Multiplying $9,600 by 4 and adding the $25,000 doesn't give you the real value. The rate of return is going to be used to calculate the time value of money and take into account inflation, buying power, and the actual return. I: 10% CF1: 9600 CF2: 9600 CF3: 9600 CF4: 9600 + 25000 NPV: $57,106.04 So with my calculations, hoping they're right, you're better off holding it. Personally, I'd take the $50,000 and find a better investment like PPC, however the numbers as they are setup say holding is more profitable. If this is right, I guess I can almost justify spending over 100k for college
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#103 (permalink) |
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Junior Member
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Assignment 5
You are an email marketer. You have observed the following: Total emails sent pr week for 10 weeks: 49872, 52034, 47322, 56999, 48932, 43456, 53104, 50888, 45032, 49999 Total costs pr week for 10 weeks (the same weeks as above): 1500, 1743, 1388, 1844, 1599, 1333, 1900, 1011, 1803, 1800 You want to estimate a function for your total costs for a week as a function of sent emails that week. What is it? Answer: This can be done simply by finding the average of each week's cost per email and then average the 10 weeks for an overall average. I used Excel to get an average cost/email of $0.0320. # of Emails * $.0320 = Cost/Week |
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#104 (permalink) | |
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Mоderatоr
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bigsherm:
Assignment 3: God, you make it complicated rofl ![]()
Assignment 4: VERY good! Everything is correct except for the NPV (and thus the end-answer). Maybe you pressed something wrong on your financial calculator. In pure mathematics: NPV = 9600/1.10 + 9600/1.10^2 + 9600/1.10^3 + (9600 + 25000)/1.10^4 ~= 47 506 NPV < 50 000 --> thus, sell now! Despite of that, very good and explaining answer. Assignment 5: Good Alternatively, you can use regression and you will find: C = 262,79 + 0,02671 * x Where C = total costs, x = no. of sent emails.
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#105 (permalink) |
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Junior Member
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Yeah, haven't used this calculator for a while now, looks like the interest was compounded 12 times a year as opposed to the 1 in the calculator. Oops.
As for #3, I'm going to have to look at that one, the answer didn't come right to mind like the others. Obviously. Regression, I remember that from my stats classes...teacher was batshit crazy, maybe that's why I don't like it. Thanks for the input. |
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#106 (permalink) |
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Senior Member
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That regression is funky, to say the least.
The regression coefficient (r) is .3699606367, so we have a weak correlation. The coefficient of determination (r^2) is .1368708727, so 13.687% of the variation in y is accounted for by the regression of x on y, y being costs per week, and x being emails sent per week. Needless to say, stats is only 10% running the numbers, the other 90% lies just below the surface. |
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#110 (permalink) |
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Junior Member
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Knukk,
Can you give the breakdown of question 3? I'm curious as to what you're searching for here as I have no ideas other than calculating interest over extra 20 days in holding vs. increase in revenue with faster payment turnaround....if that is the case, I'll give it hell again. |
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#112 (permalink) |
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Junior Member
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Yeah, haven't used this calculator for a while now, looks like the interest was compounded 12 times a year as opposed to the 1 in the calculator. Oops.
As for #3, I'm going to have to look at that one, the answer didn't come right to mind like the others. Obviously. Regression, I remember that from my stats classes...teacher was batshit crazy, maybe that's why I don't like it. Thanks for the input. |
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#113 (permalink) |
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Mucho Macho Muchacho
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Just thought I'd share a very simple script. You set your estimated cpc, budget, payout and then the script calculates how many conversions you need to break even. You need to have PHP installed on your server, if you do, just upload it and the rest is pretty self explanatory.
PHP Code:
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#114 (permalink) | ||
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Mоderatоr
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The idea is that by you offering the advertiser a 1 % decrease on their payouts to you by paying you in 10 days instead of 30 days, they can measure an effective interest rate. The formula for the effective interest rate is: (1 + per cent factor)^(days pr year / (previous payment time - new payment time)) - 1 Effective interest rate: (1+0,01)^(365 / (30 - 10)) - 1 = 0,1991 = 19,91 %. If the advertiser can finance himself at a cheaper rate, he will accept it.
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#116 (permalink) |
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Extreme Newbie
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Oh, before I go, here's the spreadsheet I have open 24/7 for quick calculations. If you're not using something like this, take mine, or build your own. If you don't understand it at first, just look at the calculations I'm using. The colored cells are the only ones you need to change.
Attachment 675[/QUOTE] Thanks for the spreadsheet it will be a great help!!! Also good to find a link where I do not get DICK ROLLED. |
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#118 (permalink) |
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Pheasant Heavy Breathing
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Fuck yeah! Was about to whip one of these together...this saved me hours. Thanks +rep
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Best Article I've ever read online |
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#119 (permalink) |
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Senior Member
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Again another thing that makes me feel like a total dumbass..
Thanks for sharing the info and the questions guys. No PPC course or gurus teach this kind of practical/complicated/much needed stuff. Mike, thanks for the spread sheet. Can we get some more scenarios?? The cost valuation question for the website was really cool. With a small biz background, i would have jumped on the $50k offer. Thanks again |
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#130 (permalink) |
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Since I posted that original XLS spreadsheet, I've made a slight change to the CPM column by adding "Country".
"Country" on my spreadsheet is the percentage of traffic that comes from countries that I can theoretically convert. So, if I've got an offer that is US only, then I need to know what percent of their traffic is US. Obviously, if you are targeting US only then the percent is 100% (duh), but a lot of sites you'll find can't geotarget traffic for you, so then you'll need to enter the percent of traffic you can actually convert. Also, I added "Off Page CTR" and changed the conversion rate so that it's based on the clicks off page, and not total clicks. Just play around with it, you'll figure it out. cpc-calculator.zip |
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#132 (permalink) |
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Senior Member
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I'll answer from just reading the 1st post, cos I know the rest of the thread will be filled with the answers...
You make 80 cents per click, so: A: $1000 B: $2000 C: Take it if the CTR for the banner is > then 0.25 I'll leave this here with no edits. If I screwed it up, I figure who gives a shit. At least I had a go. My poor calculator, hehe |
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#134 (permalink) | |
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Mоderatоr
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Okai folks! It has been a long time now since there has been some work here; time for a new batch of assignments. I will add more soon, hopefully
If you haven't done the previous assignments I posted, you should go back and practice on them. Solution proposals have been posted in this thread.As for the new assignments, assignment 6 is very easy while assignment 7 requires some more work. Assignment 6 You buy a computer for $1500 and do not use it for a year. Assume that you can and do sell it for $1500 after that year. Question 1: What did the computer cost you? Now, forget the computer. Question 2: Generally, in your decision making, should you care about absolute or relative prices? Assignment 7 You are interested in a new niche you are wondering about Internet marketing a product in. Assume that the product's a priori probability for high demand (H) is 0.4. There is only high (H) and low (L) demand. You want to test the niche by PPC. The testing will give you an indication 'g' if the signal is good, and 'b' if the signal is bad. From your previous experience in testing new products in similar niches, the probability of a good indication is 60% given high demand, while the probability of a bad signal given low demand is 90%. Assume these measures are representable here too. If you decide to market the product you will have a 35 000 profits if there is high demand, and 5 000 profits if there is low demand. If you do not proceed in marketing the product your profits are 15 000 from other marketing activites, independent of the demand state for the product in question. Assume that you are risk neutral, i.e. you only care about expected profits. How much should you spend on testing the product in the niche?
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#138 (permalink) | |||
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Monkey Business
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I tend to go with absolute price. And if it matters I weigh it by projected ROI % - 30 (because I always tend to overestimate) Quote:
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http://ppcplusplus.com Affiliate Marketing for Newbies http://twitter.com/PPCPlusPlus |
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#139 (permalink) | |||
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Mоderatоr
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Good. I understand it so that you by inflation refer to a general price increase. I don't define inflation as such, but that's what you meant, so it's good. But such a general price increase is only part of the actual costs during that year. The general idea is to consider relevant alternative costs, one of which you mentioned.
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Basically what matters are the relative prices. It is not interesting in itself if a computer costs $1000 or $2000, but what the price ratios to prices of other commodities are. A cell phone for $10 000 may sound pretty expensive, but that is assuming that you are facing prices of other goods similar to those today. If the prices of all other goods were given a large shift upwards, then those $10 000 would start to look like a better offer. Quote:
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#141 (permalink) | |
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Mоderatоr
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Solution proposal assignment 7:
A quick intro to probability notation: Pr(x|i) means the probability of x given i. Pr(x & i) means the probability of x and i occuring together. Pr(x) means the unconditional probability of x occuring. Now let's solve the problem at hand: Apriori: Pr(g|H) = 0.6 Pr(b|H) = 0.4 Pr(g|L) = 0.1 Pr(b|L) = 0.9 Needed for later: Pr(H & g) = Pr(H) * Pr(g|H) = 0.4 * 0.6 = 0.24 Pr(H & b) = Pr(H) * Pr(b|H) = 0.4 * 0.4 = 0.16 Pr(L & g) = Pr(L) * Pr(g|L) = 0.6 * 0.1 = 0.06 Pr(L & b) = Pr(L) * Pr(b|L) = 0.6 * 0.9 = 0.54 Pr(g) = Pr(H & g) + Pr(L & g) = 0.30 Pr(b) = Pr(H & b) + Pr(L & b) = 0.70 Aposteriori probabilities: Pr(H|g) = Pr(H & g)/Pr(g) = 0.24/0.30 = 0.8 Pr(H|b) = Pr(H & b)/Pr(b) = 0.16/0.70 ~= 0.229 Pr(L|g) = Pr(L & g)/Pr(g) = 0.06/0.30 = 0.2 Pr(L|b) = Pr(L & b)/Pr(b) = 0.54/0.70 ~= 0.771 Optimal choices based on expected profits: Apriori: Marketing the product yields expected profits: 0.4 * 35 000 + 0.6 * 5 000 = 17 000 Not marketing yields: 15 000 Thus you choose to market apriori. Aposteriori: Expected profits if indication is g: If marketing: Pr(H|g) * 35 000 + Pr(L|g) * 10 000 = 29 000 If not marketing: 15 000 You choose marketing. Expected profits if indication is b: If marketing: Pr(H|b) * 35 000 + Pr(L|b) * 15 000 = 11 870 If not marketing: 15 000 You choose not marketing. Value of testing = Pr(g) * 29 000 + Pr(b) * 15 000 - 17 000 = 2 200
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#143 (permalink) | |
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#144 (permalink) | |
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Mоderatоr
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I added som explanatory notes:
Solution proposal assignment 7: A quick intro to probability notation: Pr(x|i) means the probability of x given i. Pr(x & i) means the probability of x and i occuring together. Pr(x) means the unconditional probability of x occuring. Now let's solve the problem at hand: Apriori: A priori probabilities are the probabilities we have at hand before we conduct the PPC testing (from which we get a indication/response/signal/message): Pr(g|H) = 0.6 Pr(b|H) = 0.4 Pr(g|L) = 0.1 Pr(b|L) = 0.9 So, e.g. Pr(g|H) is the probability of a good signal, given that the demand is high. Needed for later: Pr(H & g) = Pr(H) * Pr(g|H) = 0.4 * 0.6 = 0.24 Pr(H & b) = Pr(H) * Pr(b|H) = 0.4 * 0.4 = 0.16 Pr(L & g) = Pr(L) * Pr(g|L) = 0.6 * 0.1 = 0.06 Pr(L & b) = Pr(L) * Pr(b|L) = 0.6 * 0.9 = 0.54 Pr(g) = Pr(H & g) + Pr(L & g) = 0.30 Pr(b) = Pr(H & b) + Pr(L & b) = 0.70 Aposteriori probabilities: These are the probabilities for a state of demand, given a signal response from the PPC testing. E.g., Pr(H|g) is the probability of high demand, given a good signal (g). Pr(H|g) = Pr(H & g)/Pr(g) = 0.24/0.30 = 0.8 Pr(H|b) = Pr(H & b)/Pr(b) = 0.16/0.70 ~= 0.229 Pr(L|g) = Pr(L & g)/Pr(g) = 0.06/0.30 = 0.2 Pr(L|b) = Pr(L & b)/Pr(b) = 0.54/0.70 ~= 0.771 Optimal choices based on expected profits: In this stage we figure out what our optimal choices are (to market or not to market), under our different possible situations. First we find out what our optimal responses are before we have a signal from testing, i.e. a priori. Apriori: Marketing the product yields expected profits: 0.4 * 35 000 + 0.6 * 5 000 = 17 000 Not marketing yields: 15 000 Thus you choose to market apriori, because it has higher expected profits. Aposteriori: This is where we check what actions are the most profitable if we conduct PPC testing and receive the different signals (good or bad indication). Expected profits if indication is g: If we choose marketing after a good signal from testing: Pr(H|g) * 35 000 + Pr(L|g) * 10 000 = 29 000 If not marketing: 15 000 You choose marketing. Expected profits if indication is b: If marketing after a bad indication: Pr(H|b) * 35 000 + Pr(L|b) * 15 000 = 11 870 If not marketing: 15 000 You choose not marketing. Value of testing = What you are willing to spend to get the result = Difference in expected profits a posteriori and a priori = Probability of a good signal * Expected profits from our optimal choice given that signal + Probability of a bad signal * Expected profits from our optimal choice given that signal - expected profits from optimal choice a priori = Pr(g) * 29 000 + Pr(b) * 15 000 - 17 000 = 2 200
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#148 (permalink) |
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Internet Marketer
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#7 is pretty slick, but you seem to be pulling a couple numbers our of the air in your equations like PPC spend, revenue and profitability.
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great affiliate offer = www.GoFreeCredit.com |
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#149 (permalink) | |
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Mоderatоr
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Whether I pull them out of the air or not is not important. In fact it doesn't change anything. The whole point of such an assignment is to understand the tools you have your disposal to solve for a solution suggestion. The idea is to provide a set of information and assumptions that can be applied to solving the problem at hand. In real life investment decisions projects are also evaluated beforehand and predictions are made to calculate the projects' values. You can think of #7 as what you do after you have predicted what the relevant variables' values will be.
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#150 (permalink) | |
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Mоderatоr
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Assignment 8
You are about to launch a project that will give $ 100 000 of revenues for sure. To be able to generate revenues you need to invest in a technology. Technology A costs $ 30 000 in present value over the years with a capital cost of 10 %. Technology B costs you $ 20 000 (present value) in total over the years with a capital cost of 15 %. The project lasts 5 years. There are no other costs to consider. There are no taxes. What are the equivalent annual cost for each of the two technologies? Which technology do you choose for your project and why?
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