I am the Portfolio Manager for the RETIREE INCOME PORTFOLIO, DIVIDEND OVERDRIVE PORTFOLIO, and the OIL & GAS INCOME PORTFOLIO at PortfolioChannel.com. I am also the creator of the Cash Flow Retirement Replacement Ratio© used in retirement and investment planning. A Chartered Financial Analyst and Certified Financial Planner, I have spent over two decades managing high-net worth individual and institutional accounts, working as a portfolio manager and analyst. I have also had several stints working for a pair of Private Banks managing balanced, fixed income, and equity accounts.
John Kozey is Director of Research at KnowVera, LLC, where he oversees research and trading of algorithmic trading strategies. Prior to that, as a Senior Analyst at Thomson Reuters, he produced reports blending fundamental and technical analysis for actionable ideas. John was also Equity Research Director for Bridge Trading Company, as well as a former institutional equity derivatives salesman, sales-trader and desk strategist/analyst. He holds the Chartered Financial Analyst (CFA) , Chartered Market Technician (CMT) and Accredited Wealth Management Advisor (AWMA) designations. He received his MBA in Finance from Cornell’s Johnson School of Management.
I hold a B.S. in Accounting.
"[T]he function of the margin-of-safety is, in essence, that of rendering unnecessary an accurate estimate of the future. If the margin is a large one, then it is enough to assume that future earnings will not fall far below those of the past in order for an investor to feel sufficiently protected against the vicissitudes of time."
"Needless to say, the analyst must take possible future changes into account, but his primary aim is not so much to profit from them as to guard against them. Broadly speaking, he views the future as a hazard which his conclusions must encounter rather than as the source of his vindication."
"[F]inding the really outstanding companies and staying with them through all fluctuations of a gyrating market proved far more profitable to far more people than did the more colorful practice of trying to buy them cheap and sell them dear…These opportunities did not require purchasing on a particular day at the bottom of a great panic."
Alex Cho is a top contributor on Seeking Alpha in both the long ideas and technology section of the website. Alex Cho's articles have been featured on The Motley Fool, The Street, and Benzinga. Alex Cho has been featured on ValueWalk's throwback Thursday for his analysis on Apple. Furthermore, Alex Cho's financial expertise ranks him in the top 100 on TipRanks, and his recommendations have a 80% success rate according to Tip Ranks.
To reach out to him for business opportunities, to share ideas, guest writing opportunities, consulting opportunities e-mail him at email@example.com
John is a lawyer and accountant with over three decades of corporate finance, due diligence, M&A advisory and related legal services for manufacturers, innovators and investors in the energy storage and renewable energy sectors.
Over the last eight years John has earned a global following for his articles on the energy storage and alternative energy sectors. He has contributed to AltEnergyStocks, Seeking Alpha, The Street, NASDAQ.com and Batteries International Magazine and InvestorIntel.
John is a 1979 graduate of the Notre Dame Law School and a 1976 graduate of the W.P. Carey School of Business at Arizona State University. He was admitted to the bar in 1980 and licensed to practice as a CPA in 1981. John’s diverse experience in corporate finance, natural resource development and energy storage give him a unique and sometimes unsettling perspective on the technical, economic and supply chain challenges of the battery industry.
Shlomi Cohen is a veteran Israeli financial journalist and stock analyst who writes the popular 'Buy, Sell, Hold' column for Israel's leading financial publication, Globes.
Cohen provides in-depth analysis of Israeli and non-Israeli stocks traded on Wall Street, with particular attention to the impact of emerging technologies and executive management strategy. Cohen also manages a virtual portfolio on Globes, which he updates regularly alongside his commentary.
Visit his site: Globes (http://www.globes.co.il/serveen/default.htm)
I am a Portuguese independent trader, analyst and algorithmic trading expert, having worked for both sell side (brokerage) and buy side (fund management) institutions.
I've been trading professionally for about 20 years and also launched www.thinkfn.com in 2004. Thinkfn (Think Finance) carries thousands of educational articles on finance and the markets.
I trade futures, stocks from the long and short side, forex and options. I trade both discretionary and fully automated systems (Metatrader, Quantshare and others).
I can be reached at paulo.santosATthinkfn.com or followed on Twitter at twitter.com/ThinkFinance999
Doug Short is first-wave boomer with a lifelong interest in markets and the economy. His professional career had been a satisfying split between academia (English Professor at North Carolina State University) and Information technology (IBM and GSK).
Doug retired in 2006 to devote himself full-time to his dshort.com financial website. The domain has now been acquired by Advisor Perspectives, and Doug has been appointed the Vice President of Research.
Doug is especially interested in the economy, long-term market trends and behavioral finance.
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.
Ron Sommer was a chief financial officer at an institution of higher education in New York City. He has 40 years of financial management experience in the public, private and not-for-profit sectors. Sommer has also been a private investor for more than 30 years. He uses a ruled-based quantitative model.