Equipment Sales history Gas, Mining, Construction, Water, Foundations, and Environmental projects in the Western Hemisphere. Investing to build value, and enjoy challenges and learning from respected members of the community
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.
I'm a computer engineer with a great interest in finance. I'm not a pro, I do it for my family. But I'll share what I know and try to be as helpful as I can. I own about 10% of my assets in precious metals. As for currencies, I keep about 75% CAD vs 25% USD of my assets. I have about 35% in mutual funds; global small cap, global fixed income and global real estate. These allocations are fully managed by me, but I re-balance twice a year or so. That mutual fund core is insuring sufficient diversification and low correlation to the following US and Canada single stocks.
About another 35% is a trusted core of single stocks, both Canada and US. These positions are generally overweight at about 3% of portfolio. Core positions have a few properties in my portfolio: low turn-over, very long term, low debt, often dividend growers with low payouts, good valuations, good growth, low beta. They are safe and feel safe, and I usually build those position over the years. I consider it core after 2 years of reliable service. A stock can gain my trust by presenting profits. Not much mega caps, mostly small to medium caps. Another property of my core: easy to understand businesses. They wash linen, they sell groceries, they make boxes, they produce wine. As I build confidence and understanding, I allow more exotic positions in core. They manage money, they rent retirement houses, they dig for metals, they patent software, etc.
At the other extreme, I keep a few lottery tickets as satellite positions for about 20% of portfolio total, 0.75% to 1.5% of portfolio each position. More risky or difficult to understand business, more volatile and some signs of stink. Could be reversal plays, could be momentum stocks, can display signs of breaking out. Usually, I rely a little more on technicals than fundamentals there. And I trade. I learn. I make mistakes. I churn. Survival of the fittest.
I always look for dips in my core positions, and I wait for clear signals to buy back (volume, a few moving avg). If I have cash, I use it. If I don't I look at core and I trim large gains. If no gains there, I look at satellites for gains. If no gains, I look at satellites for mistakes, stinkers, unreliable bets. With money, I buy dips in core positions or in-the-middle stocks. In middle stocks are first buys aiming core, or rising satellites gaining confidence and improving.
Here's my complete stock portfolio as of mid-March 2016, where each record corresponds to (yes I would like to display as array):
NAME, TICKER, MKT CAP, PE, BETA, % of portfolio
Alimentation Couche-Tard ATD.B 33.71B 21.4 -0.11 5.0%
Richelieu Hardware Ltd. RCH 1.59B 26.74 0.57 4.9%
Winpak Ltd. WPK 2.89B 21.65 0.42 4.7%
Milestone Apartments MST.UN 1.49B 4.44 -0.17 4.7%
Supremex Inc SXP 144.07M 9.43 0.92 4.7%
Savaria Corporation SIS 311.44M 29.33 0.48 4.6%
K-Bro Linen Inc KBL 356.99M 30.42 0.4 4.4%
Intertape Polymer Group ITP 1.25B 17.94 1.05 4.3%
Andrew Peller Ltd. ADW.A 384.42M 20.23 0.22 4.3%
AMERCO UHAL 7.87B 15.9 1.55 3.6%
Saputo Inc. SAP 15.48B 25.96 0.25 3.6%
RDM Corp RC 98.02M 16.8 0.88 3.4%
Acadian Timber Corp ADN 306.91M 20.22 0.48 3.3%
Richards Packaging RPI.UN 280.52M 23.04 0.6 3.2%
Lassonde Industries Inc. LAS.A 649.85M 22.6 0.08 2.9%
Pason Systems Inc. PSI 1.46B 1000 0.37 2.8%
Tricon Capital Group Inc TCN 1.05B 11.43 0.43 2.8%
Metro, Inc. MRU 11.24B 21.33 0.22 2.8%
CCL Industries Inc. CCL.B 8.17B 26.01 0.85 2.8%
Walt Disney Co DIS 155.07B 17.59 1.34 2.8%
First Trust Health Care... FXH 1.18B 20 0.9 2.5%
Photon Control Inc PHO 79.55M 10.22 1 2.3%
Brookfield Asset Management BAM.A 44.31B 19.34 0.52 2.1%
Brinker International EAT 2.64B 14.54 0.4 2.1%
Sylogist Ltd. SYZ 249.35M 52.2 1.34 2.0%
Logistec Corporation LGT.B 442.18M 16.21 0.55 1.6%
Enbridge Income Fund ENF 4.00B 16.83 0.17 1.5%
Ceapro Inc. CZO 129.92M 19.85 2.14 1.3%
ProShares Ultra Nasdaq BIB 493.79M 30 2.18 1.3%
Pivot Tech. Solutions PTG 73.55M 9.55 0.45 1.3%
Biosyent Inc. RX 125.79M 34.13 -0.29 1.2%
XPEL Technologies Corp DAP.U 28.62M 18.28 0.1 1.0%
Pacific Safety Products PSP 10.96M 13.21 1.98 0.9%
Omni-Lite Industries OML 17.38M 22 1.11 0.8%
American Water Works AWK 14.82B 31.17 0.13 0.8%
IWG Technologies Inc IWG 11.88M 13.06 0.77 0.7%
Dr. Kris has two degrees from MIT because one just wasn't enough. Her life goal was to figure out the universe and having done that (at least to her satisfaction), she decided to tackle something even more difficult—the stock market.
Applying the scientific method along with an insatiably curious mind, she began trading stocks, futures, and options in order to find the holy grail to market success. She's discovered to her immense satisfaction that not only is there one way to succeed but many. Combining her love of cooking with the stock market, she's devised recipes for investment success designed to please the palate of most investors. Dr. Kris currently manages a private equity long/short portfolio and writes of her current research projects that appear on her website, StockMarketCookBook.com.
Her most exciting project is applying market timing models to Modern Portfolio Theory to not only give greater returns but at substantially lower levels of risk. (See PortfolioPreserver.com for further information.)
Astute student of value investing with a focus on dividend growth. Doing my homework and learning something new everyday. You can't acquire much more than miniscule knowledge of what this vast investing universe is all about, but you can learn what works for your own situation.