Blizzard Entertainment - 0 views
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Blizzard Entertainment is looking for an exceptionally skilled lead 3D character artist to work on the award-winning World of Warcraft. The ideal candidate has extensive experience modeling, texturing, and illustrating a diverse visual range of characters and creatures, as well as strong familiarity in related tools -- 3DS Max and Photoshop. A solid grasp of form, structure, color, and light for both 2D and 3D art assets is essential. Take a look at the job postin
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Hot Job - Lead 3D Character Artist Blizzard Entertainment is looking for an exceptionally skilled lead 3D character artist to work on the award-winning World of Warcraft. The ideal candidate has extensive experience modeling, texturing, and illustrating a diverse visual range of characters and creatures, as well as strong familiarity in related tools -- 3DS Max and Photoshop. A solid grasp of form, structure, color, and light for both 2D and 3D art assets is essential. Take a look at the job posting
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assive new continent, the brand-new death knight Hero class, unique dungeons, an open-world PvP zone with siege vehicles and destructible buildings, and h
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Do Social Networks Solve Information Problems for Peer-to-Peer Lending? Evidence from P... - 0 views
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This paper studies peer-to-peer (p2p) lending on the Internet. Prosper.com, the first p2p lending website in the US, matches individual lenders and borrowers for unsecured consumer loans. Using transaction data from June 1, 2006 to July 31, 2008, we examine what information problems exist on Prosper and whether social networks help alleviate the information problems. As we expect, data identifies three information problems on Prosper.com. First, Prosper lenders face extra adverse selection because they observe categories of credit grades rather than the actual credit scores. This selection is partially offset when Prosper posts more detailed credit information on the website. Second, many Prosper lenders have made mistakes in loan selection but they learn vigorously over time. Third, as Stiglitz and Weiss (1981) predict, a higher interest rate can imply lower rate of return because higher interest attracts lower quality borrowers. Micro-finance theories argue that social networks may identify good risks either because friends and colleagues observe the intrinsic type of borrowers ex ante or because the monitoring within social networks provides a stronger incentive to pay off loans ex post.
Bangkok's Independent Newspaper - 0 views
The Synthetic Worlds Initiative - 0 views
An analysis of MMOG subscription growth - 0 views
The Latest Twist in Student Loans - 0 views
The MUD - 0 views
Google Investor Relations - 0 views
SG.hu - A Blizzard bírja a tempót - 0 views
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