Day trader whose strategy is based on arbitrages in preferred stocks and closed end funds.My group consists of 10 traders.We trade every single preferred stock or closed end fund that provides an arbitrage opportunity. Our research includes stocks that most of the people have not even heard. We have developed our own statistical tools that make most of our arbitrages statistically proven. As a trader I don't just analyse , I trade my analysis and pay the price when I am wrong.That is the main reason I respect opinions only when backed by taking the risk of being wrong.Words or opinions mean nothing in this business and the only person who is right about a certain situation is the one who makes money out of it.
Please note that the article that you are reading here was originally written on my blog and is republished in Seeking Alpha and other forums. Consequently, I neither track nor respond to comments here. I am sorry! ================ Editors' Note: Seeking Alpha monitors Dr. Damodaran blog and posts relevant articles on his behalf.
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Elephant Analytics has an Bachelor of Business Administration degree with a concentration in marketing and finance, and 13 years of experience as an analyst. Elephant Analytics originally focused on marketing and sales analysis due to geographical and lifestyle considerations, but rekindled his interest in finance and investing several years ago and became a contributor to Seeking Alpha in 2013. He has a particular interest in attempting to understand distressed companies and distressed industries.
Elephant Analytics has unique skills in the areas of numerical analysis and applied mathematics. Elephant Analytics achieved a top 50 score on the Bloomberg Aptitude Test (out of nearly 200,000 test takers) which measures financial aptitude. Elephant Analytics also has achieved a score (153) in the 99.98th percentile on the WAIS-III IQ test and has also been involved in multiple teams that have won awards during business and strategy competitions involving numerical analysis. In one such competition, he captained his team to become North American champions, ahead of MBA and undergraduate teams from universities such as Harvard, Yale and Northwestern.
Legal Disclaimer: Elephant Analytics' reports, premium research service and other writings are personal opinions only and should not be considered as investment advice. Only registered investment advisors can provide personalized investment advice. While Elephant Analytics attempts to provide reports that include accurate facts, investors should do their own diligence and fact checking prior to making their own decisions.
Mr. Hui has been involved in the equity markets since 1980, both on the buy side and the sell side. He is a CFA Charterholder, and has presented numerous papers to quantitative discussion groups (Sample topics include: How Global are Resource Sectors).
Having always been a learning machine, I speak five languages, have worked as a sales agent, project manager, translator, computer consultant, software engineer, built a house with my own hands, published books and essays on literature, philosophy and art, have written for magazines of various kinds in different countries.
After retiring early in 2004, little by little, I have become a fund manager for some friends and myself, following the principles of value investing laid out by Benjamin Graham, Phil Fisher, Charlie Munger and Warren Buffett. You can read about my thoughts on a suitable portfolio structure for early retirees here.
My articles should not be considered to be any kind of investment advice. What suits me well is not necessarily good for others, as successful investing is somewhat like a marriage: If only one is perfect, the marriage won’t work. So please do your own research and remember Benjamin Graham's advice: “The investor’s chief problem — and even his worst enemy — is likely to be himself.”
I sincerely hope that my readers will ignore the Performance calculations provided by Seeking Alpha (although only to Pro subscribers, I believe). For reasons unknown to me, some of my European stock picks seem to be tracked inaccurately by Seeking Alpha's system. Spin-offs are not included in total return calculations and many of my correction requests didn't receive any answer at all. Moreover, my time frame almost never is as short as only 1 year (the maximum included in Seeking Alpha's table) and personally I consider the 1 year performance of my stock picks to be close to meaningless.
Doug Young is a China business news veteran, with nearly a decade of experience writing about China's colorful cast of publicly listed companies. He currently lives and works in Shanghai, where he comments on the latest China company news at Young's China Business Blog, a community for people interested in buying and selling China stocks (www.youngchinabiz.com). He also works as an lecturer in the Fudan University Journalism School and is writing a book on the media in China. Before moving to Shanghai, he worked as a reporter and editor for 10 years at Reuters, covering China's dynamic company news scene for most of that time. He was most recently chief correspondent for Reuters' reporting on corporate news in China, leading a team of a dozen reporters covering all of China's major industries.
I specialize in creating opportunities involving options strategies, particularly involving tech stocks. I am also very interested in retirement strategies and I believe everyone is capable of creating their dream retirement, regardless of income level. I have degrees in mathematics and physics from USC, a M.S. in Mathematics, and I currently reside in the florida keys where I teach math.
I am currently in the process of launching a options trading site called " The Options Masters", which will feature a daily newsletter. Please subscribe if you enjoy my articles!
Friedrich is the name given to our algorithm for analyzing companies that trade on the global stock markets. In creating Friedrich we concentrated on analyzing each company’s Main Street operations through various established ratios, along with our own unique ratios that we developed over the last 30 years. What we came up with is a final "Main Street" price per share based on Generally Accepted Accounting Principles (GAAP), which is a framework of accounting standards, rules and procedures defined by the professional accounting industry, which has been adopted by nearly all publicly traded U.S. companies. We feel that our Main Street price result is what each company would need to trade at in order to be attractive to a businessperson on Main Street looking to buy at a bargain.
Since the only constant in the universe is change, the results for each company fluctuate by varying degrees. No company is an island unto itself, but each operates in a world of constant change and at times in areas where Chaos is the norm. By analyzing a company’s Main Street operations over time, Friedrich is able to give the potential investor a decade long analysis (opinion) as well as offering a Trailing Twelve Month (TTM) analysis (opinion), as well. Thus our readers will not only get as close to a real time view of operations on Main Street as is possible, but then can measure the consistency of the company’s operations over time to determine if s/he should invest or not.
Through our Friedrich algorithm we can analyze ten years of Balance Sheet, Income Statement and Cash Flow Statement data for each company all at once and generate one final result in seconds. Friedrich was designed to be ultra-conservative and thus will cut zero slack to any company under analysis and will do so with zero emotion. Companies must be exceptional in order to get an attractive Main Street valuation and the ideal investments according to our backtesting are the ones that have been consistent over time.
By being so ultra conservative Friedrich is designed to identify bargains that Wall Street investors may have overlooked. Companies shares may trade on the stock market but the companies themselves operate on Main Street, so Friedrich is designed to generate a Main Street price per share first and only then does he go to Wall Street and see the price for which Benjamin Graham’s “Mr. Market” is offering the shares.
Analyst and Fund Manager with almost 20 years investment experience. Coverage includes a variety of industries, with a focus on technology.
Particularly focused on value stocks, poorly understood or under-followed situations, and contrarian perspectives.
Primarily invest in special situations with value that is poorly understood or not fully appreciated, or where we believe there is a highly asymetric risk/reward profile. Also look for long/short ideas in mid/larger cap names where we believe we have a variant view, and the market is dramatically mispricing value.
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