Yahoo! Blows the Deal

Yahoo! Stock chart for 6/12/2008Well, it’s official. Yahoo! has blown the deal with Microsoft. Yesterday afternoon before the official announcement was made, it was obvious that the cat was already out of the bag. Many stories began to break about the deal falling through, and Yahoo! shares dropped over 10%. The stock value had topped at around $30 in the middle of February. Since then, Jerry Yang and the rest of the Yahoo! leadership have managed to wipe nearly $9 billion in market value, as it became more and more apparent the deal wasn’t going to happen.

I have no doubt that the class action suits will continue and there will most certainly be more to come. Unfortunately, I do not believe anything good can come of them, as the damage has already been done. It may be a very long time before Yahoo! ever reaches $30 again, unless they can actually make good on the promises that were made in March.

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  • Another P2P Student Lender

    TechCrunch has an article about a new p2p student lending site called GreenNote. In addition to facing many of the same challenges that await Fynanz, GreenNote will have additional obstacles to overcome in order to attract investors. Perhaps the biggest challenge is that the interest rate is not set by lender bidding and is fixed across all loans (currently 6.8%, the rate of a Federal Unsubsidized Stafford Loan). Not only will GreenNote have a hard time competing with Fynanz in terms of the potential returns for investors, but Fynanz also provides some protection against defaults by guaranteeing at least 50% of the principal on defaulted loans. GreenNote provides no such guarantee.

    Given that they do offer a very good interest rate for students, they will surely have no problems attracting borrowers. However, I think GreenNote has a long road ahead if they intend to attract enough investors in order to meet the demand. Unless they can eventually insure part of the loan principal as Fynanz does or provide a secondary market for liquidity, I have serious doubts as to whether they will be able to compete with Fynanz and survive the long road to profitability.

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  • Time for Microsoft to Go Hostile

    This weekend Microsoft withdrew their bid to buy out Yahoo! for $31/share. They reportedly look the offer as high as $33/share, but Yahoo! was looking to get $37/share. Now in premarket trading, Yahoo! shares are down over 20% at around $22/share. I think it was a good move on Microsoft’s part. Rather than pay the $31/share that they were offering or the $37/share that Yahoo! wanted, Microsoft can now perform a hostile takeover for nearly 70 cents on the dollar on their original offer (60 cents on the dollar of what Yahoo! was asking). It’s just another twist in the ongoing saga between Yahoo! and Microsoft.

    Microsoft will likely lay low for a while now to see if Yahoo! will come crawling back as they lose billions in market value. It will also allow some time for the share price to fall and stabilize a bit before they begin the hostile takeover. There is also a lot of talk that Yahoo! will take a poison pill by allowing current shareholders to purchase new issues and thus diluting shares (and effectively lowering the stock price). I think this is an extremely poor tactic and undermines the whole purpose of investing in public companies. It is also possible that Microsoft will never pursue a hostile takeover for this reason. Either way, the Yahoo! board of directors needs to be prepared for another barrage of class action lawsuits.

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  • Prosper Greasemonkey Script for Firefox

    I finally downloaded and tried out Greasemonkey for Firefox extension the other day. I had heard of it before, but never installed it until recently. Greasemonkey is a Firefox extension that allows you to manipulate any web page you visit in Firefox. It uses JavaScript code that runs as if it were embedded into the website. It also provides some additional functions that let you do magical things such as cross-site scripting (which can also be dangerous if you install a malicious script). I actually had written a few JavaScript “bookmarks” to do some quick stuff for me on the Prosper website, but Greasemonkey provides a much better interface. It allows me to do what my bookmarks were doing and even more. Here are the features I’ve put into the script so far:

    • Auto-login
    • This is disabled by default. In order to enable it, right-click on the monkey, and click “Disable Automatic Login” under the User Script Commands. When the prompt appears asking if you want to disable the auto-login, click Cancel and it will enable the automatic login. I realize this probably isn’t the most intuitive thing in the world, but I was too lazy to develop my own dialog and I just used the window.confirm() JavaScript method. Your username and password is stored locally within your browser and is not transmitted anywhere other than to the Prosper website.

      I assure you that that the auto-login feature does nothing evil. I have it disabled by default in case you don’t believe me. Your username and password will be stored as configuration values within Firefox. If you navigate to about:config in the browser, you’ll see them under greasemonkey.scriptvals. Please note that the password is not encrypted. If you’re using a public machine or someone else’s computer, you may want to think twice about using the auto-login feature.

    • Total Revolving Credit and Total Available Credit
    • If there is more than 0% utilization, then the calculated total revolving credit and total available credit is displayed. If utilization is 0%, it is displayed as Indeterminate.

    • Estimations on Listing and Search pages
    • The estimated loss, adjustments, fees, and estimated return will be displayed on listing pages. On search pages, I display just the estimated return and estimated loss (to take up a bit less space than displaying all 4 numbers). You will need to be logged in for this feature to work.

    If you’d like to try it out, first install Greasemonkey on Firefox. Then click the button below to install:

    If you have any suggestions for new features to add, please feel free to let me know and I’ll be glad to see what I can do to accomodate.


    Update: I’ve added a user script command called “Set Investment Preferences.” It allows you to specify a minimum desired return, bid amount, and maximum loss amount. When you run searches, as the estimates are loaded in, listings will be removed if they are below the minimum desired return or if they have an estimated loss higher than the max loss.

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  • The WealthBoy Strict ROI for Prosper Lenders

    As I was writing my Rule of 72 on Prosper article for the official Prosper Blog, I began to think about developing my own ROI calculation based on what I had written. I had attempted creating an ROI calculation once before that was based on actual payments received, but I became frustrated with the lack of the detail payment data in the LoanPerformance table of the private export. I took another crack at developing an ROI calculation based on actual payments, and think I’ve come up with something that’s reasonable. If you’re interested in the actual implementation, you may want to check out the technical details and link to the SQL code here:

    http://wealthboy.com/wbsroi-technical-details/

    Once I’ve constructed the tables necessary to calculate the payments that a lender has received, I have all of the information necessary to calculate the WealthBoy Strict ROI. The WBSROI performs two return calculations: TotalROI and AnnualizedROI. The TotalROI calculation is calculated by dividing the total profit (interest less servicing fees) by the total amount invested (which excludes reinvested loans). The calculation does not take into account the declining balances, hence the “strict” designation. If you have been lending successfully for a long time, it is certainly possible to have a TotalROI more than 100%. Here is the formula in a nutshell:

    TotalROI = (Total Interest Received – Fees – Losses on Defaults) / (Total Loan Originations – Reinvested Loans)

    The AnnualizedROI is calculated by dividing the TotalROI by the weighted average loan age and multiplying by 12. The weight for each bid is the amount lent as a percentage of the total originations. This may not be the best way to perform the AnnualizedROI calculation, but it was the best I could come up with. I believe the TotalROI is relatively indisputable, barring the errors in the payment calculations. The AnnualizedROI could probably use some enhancements.

    I like the idea of having a strict ROI calculation that doesn’t account for the declining balances. Many lenders on Prosper may not even be aware of what a declining balance is. Others may know about declining balances, but they just want to know what kind of return they’ve received on the total amount they’ve invested. That is what the WealthBoy Strict ROI attempts to do, and I believe it does it reasonably well. If you are reinvesting loans, your strict ROI should be reasonably close to your average interest rate less fees and your default rate.

    So what about late loans? Why aren’t they part of the calculation? Well, one of the nice things about of my calculation is that it really doesn’t take much more effort to account for the probability of late loans eventually defaulting. With the information provided in the calculation, you know the total investment and you know the total profit. All you need to do to account for late loans is to incorporate the loss estimation into the profit and presto! You have your new ROI including the probability of late loans defaulting.

    I decided to exclude any default projections from the initial announcement of my ROI calculation. Although it probably wouldn’t take much more effort to incorporate it, I think there is something to be said for an ROI calculation that doesn’t make any kind of suppositions. The WealthBoy Strict ROI calculates how much went in and how much came out. It makes no assumptions about the future value of loans. I have left it to others to make whatever assumptions they wish to make about estimating defaults.

    I do realize that not everyone has the expertise and/or resources to put together a Microsoft SQL Server database for analyzing Prosper data. Unfortunately, I don’t have a web application connected to my database so that people can see their WBSROI. If you would like me to provide you with your WBSROI, just post your screen name into a comment here. I’ll post the data in a responding comment. If I become overwhelmed with responses to the post, I may not be able to respond to requests any longer. If it does become a popular metric, perhaps someone with a popular stats site may be willing to add my calculations to their site. Here is what the WBSROI on my account looks like:

    Screen Name:WealthBoy
    Total Bid Count: 45
    Total Reinvested Bids: 3
    Total Originations (total amount loaned): $2,250
    Total Investment (total amount loaned excluding reinvested bids): $2,100
    Total Income (total principal and interest less fees): $209.22
    Total Profit (total interest less fees and defaults): $60.53
    Total ROI: 2.88%
    Average Loan Age: 1.76 months
    Annualized ROI: 19.62%

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