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Editor for The Biotech Forum (www.biotechforumsa.com), the #2 subscribed to Marketplace investment service offered through SeekingAlpha. Top 5% ranked analyst (TipRanks) 2013 through first half of 2015. Daily contributor for Real Money Pro. Hedge fund manager from 2008 to 2011. Previously technology executive at Fortune 100 firm for a decade. For Free weekly investment reports on small, attractive biotech stocks just register at www.bretjenseninvests.com
Caiman Valores is a Colombian investment consultancy operated by Matt Smith who has over a decade of experience in investment management. He speaks Spanish, has travelled extensively through South America and lives in Colombia.
His approach to investment analysis relies on gaining a fundamental understanding of the company and then applying a macro-economic overlay. Matt has over two decades of experience in investing and working within investment management and high net worth banking.
He earned a Master of Business Law from the University of Sydney, a Master of Arts in International Relations and a Bachelor Degree in Political Science and Economics from the University of New South Wales.
Please feel free to contact him if you have questions regarding investments, writing, or speaking opportunities via email at email@example.com.
I am an active husband, father, lawyer (more than 24 years, how time flies), and investor. I believe in contrarian investing, i.e., going where the crowd isn't. I believe that successful investing, like successful living, requires equal parts listening and evaluating, followed by independent decision making.
I run a model fund at Ken Kam's Marketocracy, where they do capital management using the best member mutual fund track records with extensive tabulations of alpha, beta, R-squared, and many other fund management evaluations. Marketocracy Capital Management offers SMA (Separately Managed Accounts) through FOLIOfn Institutional ($100,000 minimum accounts) set up to track the top 15 or so long-term track records (many 12 years plus) of the 30000 or so active members that run models at their site. My fund is one of those top models available for SMAs. My SMA investment fund now has a first year performance with double digit alpha. You can see the fund's performance chart at marketocracy.com (the Turtle Fund - symbol BPMF) and there is one in my profile over at TalkMarkets.
My fund methodology is high diversification, usually running around 40-60 stocks from many different sectors. I rarely weight any position much over 5%. I began at Marketocracy developing an analysis method I've labeled The Fractal Base Flow Model. I've been experimenting with variations of my basic methodology with 4 other funds and a 5th where I try new things. With my first and main model fund BPMF (Bruce Pile's Mutual Fund) I did my basic method for the first 7 years or so with an alpha over 30, then strayed a little into other analysis methods that did not work as well. For the SMA, I am using the methods proven to work well.
Marketocracy is a new way of investing that solves a lot of the problems in the industry today. When investors nowadays survey their options, they are perplexed by the mish mash of risk and fees. In mutual funds, you have regulated safety where managers must diversify with less than 10% of your money in any one name in the top of your weightings scheme, making for at least around 20 stocks at any one time. The SEC also prohibits the risk of leverage and investing in dangerous derivatives, etc. But this safety is typically viewed as a tradeoff with performance vs hedge funds, where all the dangerous stuff is allowed. But the sad result of all this danger is that most hedge funds fail. The average life of a hedge fund that makes it past the first year is just 5 years. More than two thirds of all hedge funds that ever existed are now dead. There is the fund of funds option, but the high turnover means that even they must select an all new portfolio of funds about every 5 years. This makes selecting proven long-term performers virtually impossible. A fund of hedge funds will typically not only charge the high hedge fund fees of 1%-4% management fee plus 15%-25% of your returns, but will also charge fees for running the fund of funds. They pile complication upon complication and charge you for it. "Oh, and the hedge fund industry as a whole hasn’t produced alpha/added value to simple portfolios for years, since its assets under management ballooned." [FTalphaville] With typical leverage, that has grown over 15 years from around 20% to over 40% now, you get 40%more risk than mutual fund rules with no significant added performance, just more costs. And because that added leverage risk is so often concentrated in the same areas by all the large funds, inducing systemic risk, when those bets go wrong they can go very wrong. With all the above, an investor must live with the risk of having just one fund manager, or picker of rotating funds in a fund of funds. Imagine a place where you could go to sign up for an account where you could review track records and styles and risk levels of not just one guy, but up to 15 or so, and check on your account signup form how you want to spread your money among these guys. And imagine that all these managers have had to compile top ranked hedge fund performance levels for up to 15 years under the safety level of SEC rules for mutual funds. And imagine you could get all this at roughly cost of a mutual fund. It would be like opening an account and checking the names of Peter Lynch, Warren Buffett, and all your favorite hedge fund managers to gang tackle your investment objectives. And as in any team sport, if one guy hits a cold streak, the others will carry him. No dependence on one manager. Well there is such a place - Marketocracy Capital Management. Here, thousands of people from all walks of life, from retired and active fund managers to ordinary individual investors, compete online with virtual funds. If your track record qualifies, you can open a GIPS account for real money tracking of your model fund and have client accounts track your model. My fund is one of those, ticker BPMF. FOLIOfn Institutional can open a client SMA where you can pick and choose from the best of the best long-term performers. To look into this: Phone: 1-877-462-4180 email: firstname.lastname@example.org web: marketocracy.com
Charles Rotblut, CFA is the editor of the AAII Journal, the flagship publication of The American Association of Individual Investors (AAII). Charles provides both insight about individual investor sentiment and market analysis. He is also the author of "Better Good than Lucky: How Savvy Investors Create Fortune with the Risk-Reward Ratio" (W&A Publishing/Trader's Press).
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.
Dr. Ahanotu is a graduate of Stanford University with over twenty years of experience doing analytic modeling, executing pricing strategies through price optimization, and implementing, developing, and selling enterprise software. He adds to this industry experience another five overlapping years of research in knowledge management and organizational learning. Duru Ahanotu, Ph.D. founded Ahan Analytics, LLC to deliver sustainable, data-driven approaches for improving business performance. He recognizes the unique challenges companies face in leveraging their data to increase revenues, become more efficient, and drive profitability.
Before launching Ahan Analytics, LLC, Dr. Ahanotu was last a Sales Consultant in the Advertiser and Publisher Solutions (APS) group within Microsoft Advertising. In this capacity, he provided product knowledge, functional expertise, and technical support to APS account executives who sold APS’s suite of media monetization products. He led product demonstrations and increased the productivity of the sales team by training and certifying employees on the use and demonstration of the software. Dr. Ahanotu took on this role after Microsoft acquired his former employer Rapt, Inc. Rapt provided software solutions for maximizing revenue and yield for online media publishers.
With Rapt, Dr. Ahanotu last served as an Engagement Manager for a software implementation for a $100 million on-line publisher with a rapidly growing business. With his project team, Dr. Ahanotu created and coordinated novel approaches to inventory forecasting, structuring of product hierarchies, and ETL across software systems for order management, advertising delivery, and Rapt’s software. He also generated a step-by-step methodology for interpreting and using the results of price optimization.
As a Solutions Architect, Dr. Ahanotu served as the lead Solutions Consultant on client engagements and provided technical assistance and guidance to Solutions Consultants on other projects. Dr. Ahanotu designed and implemented price optimization solutions, demonstrating expertise in mathematical modeling, pricing, data analysis, SQL, and relational data models. He led discussions with customers and internal teams to improve implementation processes and product design.
Dr. Ahanotu held oversight responsibility for the analytic modeling for two projects using Price Director, Rapt’s price optimization software. Each project supported pricing decisions in Fortune 50 businesses: one business was a leading online media publisher, and the other was a rapidly growing technology company in a low margin business. Dr. Ahanotu helped the latter client integrate Price Director into pricing workflow. As part of this first-ever client implementation of Price Director, he worked closely with Product Management, Analytic Development, and Software Engineering to ensure that early-stage product functionality met client needs.
Dr. Ahanotu contributed several new methodologies for implementing Price Director analytics and conceptual frameworks for training clients on these analytics. He is a contributor on a related Rapt patent: “Method and System for Producing Optimized Prices for Products for Sale.” Dr. Ahanotu presented a white paper on the pricing of New Product Introductions at the 2006 INFORMS Annual Meeting. The Professional Pricing Society published this paper in The Journal of Professional Pricing (Vol. 16, No. 1, First Quarter 2007) as “Pricing New Products: Turning Portfolio Uncertainty Into Profits.”
Prior to Rapt, Dr. Ahanotu was a consultant with Integral, Inc, a small strategic management consulting firm. During his three-year tenure, he consulted on product development and technology strategy focused on high tech and pharmaceutical companies. Prior to Integral, he developed mathematical programming algorithms for managing and optimizing “Y2K” projects as an independent contractor. Prior to this work, he implemented expert systems for diagnosing and troubleshooting automotive and semiconductor manufacturing equipment as a Business Solutions Project Manager and Consultant for Expert Edge, Inc.
Dr. Ahanotu earned a Master’s and Ph.D. in Engineering-Economic Systems (1999), a B.S. in Mechanical Engineering, and Honors in Values, Technology, Science, and Society (1991) - all at Stanford University.