Welcome to QuantMinds.NET
23/05/2009 19:17
About QuantMinds.NET
QuantMinds.NET is maintained to publish all the research collections about Quantitative Finance, Risk Management, Data Mining and Market Research. The goal is to encourage the activities using scientific research and quantitative methods in business decision making, and have fun during this typically 'boring' process. The website was launched in May of 2008 by Kevin Lan, a quantitative analyst and consultant who is experienced in financial institutions, IT company and telecom industry. QuantMinds.NET is currently mixed in resource collection and original research (i.e., please refer to 'Research'). We sometimes reproduce results of previous empirical studies using different data resource or empirical methodologies to grow our knowledge base. QuantMinds.NET is running as an 100% non-profit website. Some resources are password protected, which is available upon request.
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23/05/2009 18:00
About QuantMinds.NET Logo
QuantMinds.NET Logo is a simple, straightforward and meaningful design. The logo consists of two components. The title of QuantMinds.NET with trends line in market stands for the data-driven methodology and scientific research spirits encouraged by the owner; The circle shape of logo embeded with 'Value at Risk', a porpular method to measure market and portfolio risk, is exactly echoed by a well kown poem and calligraphy by Mao Tse-tung, the formal leader of People's Republic of China - Value always appears after taking risks (i.e., "无限风光在险峰" in Chinese) .
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What is QuantMinds.NET doing?
A strong theoretical background is combined with real world practice to solve day-to-day problems (i.e., risk management, quantitative trading strategy, financial modeling, market research, loyalty and retention, and consumer behavior insights)
Data mining in business and finance using modern technologies (i.e., statistical software, database natural languages, and data mining algorithms)
Resource collections and categorization (i.e., ebooks, powerpoint presentation, website, videos and modeling codes)
A strong theoretical background is combined with real world practice to solve day-to-day problems (i.e., risk management, quantitative trading strategy, financial modeling, market research, loyalty and retention, and consumer behavior insights)
Data mining in business and finance using modern technologies (i.e., statistical software, database natural languages, and data mining algorithms)
Resource collections and categorization (i.e., ebooks, powerpoint presentation, website, videos and modeling codes)
Poll
Do you think Quantitative Methods are REALLY valuable to financial industry?
Yes (344)
No (49)
Total votes: 393
Wall ST Quotations
23/05/2009 18:09
Paul Samuelson
Wall Street indices predicted nine out of the last five recessions!
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23/05/2009 18:08
Wall Street (1987)
The richest one percent of this country owns half our country's wealth, five trillion dollars. One third of that comes from hard work, two thirds comes from inheritance, interest on interest accumulating to widows and idiot sons and what I do, stock and real estate speculation. It's bullshit. You...
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23/05/2009 18:07
Paul Samuelson
Economics has never been a science - and it is even less now than a few years ago.
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