About ISIR and its founder Charlie Q. Yang
|
ISIR (Institute for Systematic Investment Research), with its name trademark registered in 1997, was established as a non-profit research and education institute with most of its research developed from 1996 to 2003 and its results being continuously validated. Our mission has always been working with investors to question and challenge the financial industry for improvement.
Establishing ISIR was motivated by the fact that most of the financial product brochures were full of marketing gimmicks and confused fine prints and lack of simplicity and high-quality facts. Even when there were numbers, the assumptions, performance, and fees were often very misleading. The lack of scientific aspects in the investment industry makes investors feel vulnerable to make sound and unbiased financial decisions. Since 1997, ISIR has always been non-commercial, non-business, and non-profit in nature. It sponsors the development of investors' education, research, and information content, and more recently, supports the Certified Financial Planner Board of Standards to protect, educate, and empower individual investors as they face important choices in saving for retirement. "One very serious problem in our financial industry today is lacking a set of scientifically sound measuring standards to uncover many flawed investment strategies. Informed investors must empower themselves and learn how to measure the added value, if any, of their investment advisory in order to prevent losses due to misleading claims and fees." - Charlie Q. Yang (1997)
|
Founder's background information:
My name is Charlie Q. Yang. When pursuing a Master of Applied Science and Ph.D. in Wireless Communication Theory in Canada from 1988 - 1993, I was so fascinated by the capital market's "random" behavior and its similarity to "signal and noise". In order to detect "signal" from "noise" for investors, I studied economics and financial markets at the Canadian Securities Institute from 1992 to 1993. I soon became passionate about investment research and moved to the U.S. in early 1995.
While I was trying to improve statistical modeling for wireless communications from 1993 to 1995 at Bell-Northern Research Laboratories, I discovered a new probability distribution which I named as "Q-Distribution". It is a family of statistical distributions unifying the popular normal and log-normal distributions and many others. I was excited about the discovery and its potential applications in many fields as a goodness-of-fit improvement over the normal distribution (bell-curve). The findings were documented as a working paper titled "Q-Distributions - A Family of Generalized Normal Distributions". This unpublished piece has continuously motivated me to further discover the deeper scientific principles governing the capital market behaviors. Increasingly I realize that the market is driven by investor psychology, very unpredictable and more difficult to quantify than my earlier engineering problems.
Good thoughts and research efforts have always been motivated by passion instead of daily jobs and careers. Luckily, my work experiences have also offered me not only the opportunity to best serve investors with my passion but also the possibility to provide investor education through meeting and interviewing thousands of investors, observing and understanding their real-life behaviors. This allows my thinking being expanded, spare time research results being refined, and educational knowledge being enhanced. The journey to the destination could be still long. Most of our research were proprietary in the past, including the fat-tailed and skewed probability distributions for modeling stock prices and asset return statistics (the new Q-Distributions or Black Swan Model), theory of capturing and measuring crowd emotion (the new Investor Emotion Index or Yin-Yang Index), and the uniformed portfolio evaluation method (the new Calmar-Yang Ratio), among many others. It is my plan to gradually publish these scientific findings on this site to share with all investors.
The core value of investing as science is how to quantify the market and investor behaviors in a meaningful, simple, and scientific proven way. In the stock market, each investor's behavior contributes to the overall market's movements and direction. One person's trade action has little impact, but billions of trade actions combined create the bull and the bear market cycles. We sincerely welcome feedback and critical comments to help improve human understanding of the capital market and ultimately benefit all investors. Together, we are advancing our scientific knowledge on investment.
While I was trying to improve statistical modeling for wireless communications from 1993 to 1995 at Bell-Northern Research Laboratories, I discovered a new probability distribution which I named as "Q-Distribution". It is a family of statistical distributions unifying the popular normal and log-normal distributions and many others. I was excited about the discovery and its potential applications in many fields as a goodness-of-fit improvement over the normal distribution (bell-curve). The findings were documented as a working paper titled "Q-Distributions - A Family of Generalized Normal Distributions". This unpublished piece has continuously motivated me to further discover the deeper scientific principles governing the capital market behaviors. Increasingly I realize that the market is driven by investor psychology, very unpredictable and more difficult to quantify than my earlier engineering problems.
Good thoughts and research efforts have always been motivated by passion instead of daily jobs and careers. Luckily, my work experiences have also offered me not only the opportunity to best serve investors with my passion but also the possibility to provide investor education through meeting and interviewing thousands of investors, observing and understanding their real-life behaviors. This allows my thinking being expanded, spare time research results being refined, and educational knowledge being enhanced. The journey to the destination could be still long. Most of our research were proprietary in the past, including the fat-tailed and skewed probability distributions for modeling stock prices and asset return statistics (the new Q-Distributions or Black Swan Model), theory of capturing and measuring crowd emotion (the new Investor Emotion Index or Yin-Yang Index), and the uniformed portfolio evaluation method (the new Calmar-Yang Ratio), among many others. It is my plan to gradually publish these scientific findings on this site to share with all investors.
The core value of investing as science is how to quantify the market and investor behaviors in a meaningful, simple, and scientific proven way. In the stock market, each investor's behavior contributes to the overall market's movements and direction. One person's trade action has little impact, but billions of trade actions combined create the bull and the bear market cycles. We sincerely welcome feedback and critical comments to help improve human understanding of the capital market and ultimately benefit all investors. Together, we are advancing our scientific knowledge on investment.
Some further reference information:
- Charlie Q. Yang's LinkedIn Profile
- Example of Charlie Q. Yang's research in investment theory - Capital Market Behavior Theory
- Example of Charlie Q. Yang's earlier research in technology - Mobile Payment System
- Examples of Charlie Q. Yang's earlier research in wireless communications - example 1 & example 2 & example 3
- Example of Charlie Q. Yang's earlier research in Artificial Intelligence - Hybrid Architectures for Intelligent Systems
- Examples of Charlie Q. Yang's earlier international business experiences (1997 - 2003) - America-China Investment & Business Association (ACIBA)
Contact Information:
Contact: Dr. Charlie Q. Yang
|
Tel/Text: 310-528-5511 
E-Mail: cqyang@gmail.com |
