I am currently a retired Aerospace Engineer. I am married with three children and eight grandchildren. I was born in San Francisco, CA in 1949 and moved to Newport News, VA in 1951 where I lived until I went to college. By God's grace, I received a B.S. degree from Virginia Tech (1972), a M.S. degree from Caltech (1973), and a M.A. - Biblical Studies degree from Birmingham Theological Seminary (2013). I worked at Pratt & Whitney (1973-1986) and CFD Research Corporation (1987-2008).
Now in retirement and trying to preserve my life savings, I currently have a strong interest in tactical asset allocation strategies, and have studied them extensively. I have developed a number of tactical strategies involving the periodic trading of ETFs and, more recently, mutual funds. These strategies have been backtested mainly using Portfolio Visualizer and ETFreplay software. The goal is to earn 10-15% annually with no negative years, and to have maximum drawdowns of less than 10%, preferably less than 5%. The strategies include purchasing a limited number of funds with the highest growth and lowest volatility, and minimizing risk using moving average, dual momentum, and risk parity methods. I have developed strategies for equity as well as bond assets.
Harry Long is the inventor of Hedged Contango Capture and Hedged Convexity Capture and is the Managing Partner of ZOMMA, the world's most innovative strategy index creator.
Mr. Long is a globally recognized expert on the research and development of quantitative investment strategies. The ZOMMA IP portfolio of strategy indices is sought after by asset management firms, investment banks, hedge funds, principal trading organizations, index providers, ETP sponsors, and private equity firms to help them develop and deploy active manager-crushing quantitative investment strategies.
ZOMMA helps investors create long term value by replacing reckless emotional decision making with cutting-edge technology based upon objective evidence.
Mr. Long is a graduate of Rice University with a B.A. in Economics.
Note: Due to the sheer number of requests for bespoke quant strategies, research projects, and quant consulting services, we have instituted the following pricing for the non-exclusive licensing of our algorithms to institutions:
I. Exclusive commercial licenses for unique bespoke algorithms run six figures and up.
II. Non-exclusive AUM licensing fees for our strategy indices run 10 basis points and up for commercial licenses.
Please realize that we often get more than 3,000 e-mails per week. This means that we read everything that comes in, but we cannot respond to any email or message that does not include the sender's full name, phone number, request, and budget. Thank you for your understanding.
This Dubai-like pricing is necessary, because we can't freely give answers to tough problems which we have dedicated massive R&D capital to solving. World-class statistical talent is hugely expensive, valuable, and rare. Our clients recognize that outsourcing quant work to our firm and paying our fees represent a huge cost savings over hiring full time employees, and usually results in a far more profitable, turn-key solution.
Mark Bern (formerly K202) intends to continue writing solo and has shed other work-related relationships that required anonymity.
CPA since 1990 a CFA charter holder since 2000. He has a bachelors degree in Business Admin. with a concentration in Economics. His experience includes both private and public sector and careers in accounting, financial and market analysis, product development, transportation services and investment management.
O. Young Kwon, NYU Ph.D. in Economics had worked in securities industry for ten years as a Registered Investment Adviser. He taught Macroeconomics and Statistics. Prior to his academic career, he was an Economist/Bank Supervisor at the Bank of Korea (the Fed's counterpart). In 2009 he set up the TANER System in order to synthesize performances and relative strengths of 20 ETFs and 40 equities thoroughly. (“Go TANER: The Market Primer”) The System captures dynamics of momentum changes of individual securities on the daily basis. The System also builds successfully their momentum trends over time.
He is a conservative investor, targeting on a reasonable investment goal (inflation plus 3%). His investment preference is a relatively long-term (three to twelve months) long-only strategy. He allocates his assets as an auto-pilot portfolio: 85% in six mutual funds (currently three bond, two equity, and one international) and 15% in two trading accounts. As the title of his portfolio indicates, any short-term frequent portfolio adjustment is not needed. He adjusts his portfolio gradually several times a quarter, based upon TANER Momentums (TMs), inflation expectations, money supply, and various asset valuations.
The significantly increased market volatility induced mainly by more frequent online trading pattern with ETFs in the recent years, however, forces investors towards somewhat aggressive trading to gain more and lose less. It is a very serious challenge to conservative investors like him. He has traded daily, based on TMs, provided by the TANER System. The investment returns turn out to be incredibly high. (“The Tiger Rule:”).
He has been posting TMs on his Instablog daily to share the ins and outs of the TANER System. TMs are a summary of the results of the Sythesized Performance and Relative Strength (SPARS) daily. ("Daily TANER Momentums (DTMs)")
In the1970s, he was a visiting Economist (sent by the Bank of Korea) at the NY Fed and the Bank of NY to research long-range planning. After earning his M.A. in Economics at U-Conn, he studied at NYU under Oskar Morgenstern (Economic History, Game Theory), Wassily Leotief (Input-Output Theory), Fritz Machlup (International Finance and Trade), William J. Baumol (Economic Theory and Operations Analysis), M. Isaq Nadiri (Macroeconomic Theory), and Edward Wolff (Econometric Modelling). He workd on various research projects: The input-Output Framework of the U.S. Economy (Leontief), U.S. Productivity Measurements (Nadiri), Knowledge Distribution (Machlup), Firms, Games, Decisions (Baumol), and U.S. Household Spending and Saving Behavior (Wolff).
His Doctoral Thesis under Machlup (1980): Theory of Foreign Exchange and Economic Policy. In the early 1980s .He, as a Research Associate, researched with Geoffery H. Moore at the Center for International Business Cycle Research (CIBCR) on business cycles, growth cycles, international indicators, composite indexing, and forecast of business conditions and inflation.