High Yield Dividend Portfolio; I target a minimum 10% return on price *and* a minimum 5% for dividend yield. Early retiree, father, and grandfather. Seeking alpha n00b. Opinionated SOB. Radical liberal conservative libertarian (I VOTE FOR NONE OF THE ABOVE!). I'm actually a Marxist - of the Groucho variety!
I am a dividend investor and look for undervalued investments in the stock market. I identify misunderstood and undervalued equity investments and hold those securities until their price approximates my estimate of intrinsic value. I am a long-term investor only.
I am building a $100,000 high-yield income portfolio. I am running this portfolio as an experiment to see if long-term sustainable income can be generated from a diversified pool of high-risk, high-yield securities. I am willing to accept high risk in order to meet my performance goals.
Brad Thomas is a research analyst and he currently writes weekly for Forbes and Seeking Alpha where he maintains research on many publicly-listed REITs. In addition, Thomas is the Senior Analyst at iREIT Forbes and Editor of the Forbes Real Estate Investor, a monthly subscription-based newsletter.
Thomas has also been featured in Forbes Magazine, Kiplinger’s, US News & World Report, Money, NPR, Institutional Investor, GlobeStreet, and Fox Business. He was the #1 contributing analyst on Seeking Alpha in 2014 (as ranked by TipRanks) and he is currently writing a book on the legendary investor Donald Trump.
Thomas has co-authored a book (The Intelligent REIT Investor) that is available on Amazon.
Thomas received a Bachelor of Science degree in Business/Economics from Presbyterian College where he played basketball. He resides in South Carolina with his wife and kids.
Intrepid Leader at Maks Financial Services providing ongoing Financial Planning and Investment Advisory services. My firm and I simplify the lives of busy clients by providing ongoing financial planning and asset management. this is done by providing our clients customized, ongoing comprehensive financial planning, and customized investment advisory services tailored to the clients' needs. As a fiduciary, we have a legal obligation to put the needs and interests of our clients above our own. Specialties: fee based comprehensive financial planning, retirement planning, life insurance and protection planning.
Have been investing for myself and my family for over 50 years. Retired sociology professor who also started and sold 3 retail stores over my career in teaching. Since I am retired, i am looking for stocks that pay dividends and offer some growth to keep up with inflation.
My name is Ted Leach. I'm a 65-year-old investor focused on dividends in a Retirement Income Portfolio. I'm not yet in the distribution phase of retirement. After serving as a pastor for 40 years, I'm in a second career and I have two part-time jobs. As Director of Community & Property Care, I'm part of a management team that oversees 123 residential retirement units in multiple locations for a non-profit organization. I also serve a large congregation as a part-time associate pastor.
I've been a member of the National Association of Investment Clubs (NAIC) since 1982, which now operates as BetterInvesting.org. For many years as a volunteer I helped lead workshops to teach tools developed by NAIC to educate investors about how to do basic fundamental stock analysis. I continue to have a strong interest in investor education.
NAIC's historic "four principles" have been very helpful to me:
1) invest regularly throughout your lifetime;
2) invest in growth companies;
3) reinvest earnings and profits;
4) diversify by industry and size.
Bill Bengen's "4% Rule" concept inspired me to set a goal to create a retirement income portfolio of individual dividend growth stocks as a way to tap only dividend income from the portfolio as long as possible rather than selling assets.
Here is my current 25-stock portfolio:
- 5 stocks each with a 5.2% target allocation: JNJ, XOM, MSFT, PG, MMM
- 5 stocks each with a 4.4% target allocation: WMT, MRK, IBM, CMI, GPC
- 5 stocks each with a 3.6% target allocation: EMR, SO, WEC, CNP, HCP
- 5 stocks each with a 3.0% target allocation: PEP, T, O, EPD, WPC
- 5 stocks each with a 2.4% target allocation: UNP, NNN, STAG, MAIN, EVA.
Helpful mentors and colleagues include:
- Charles Allmon, former columnist for Better Investing, taught me to look for growth stocks
- Ben Graham's The Intelligent Investor taught me the importance of intrinsic value
- Peter Lynch instilled confidence that the average citizen can win in the stock market
- Louis Rukeyser demonstrated how to ask probing questions about market conditions
- Brad Thomas introduced me to a host of real estate investment trusts
- Bob Wells' analytical discipline keeps me focused on dividend growth
- Lowell Miller's The Single Best Investment helped me focus on quality and safety
- David Van Knapp's holistic style of portfolio building helps me see the big picture
- David Fish and Factoids inspire me to keep digging for data
- Chowder reminds me that each buy is the purchase of a business
- BDC Buzz has helped me sift through business development companies
- Tom Konrad opened my mind to alternative energy investments
- George Fisher is a helpful "lookout" scanning the horizon for utility opportunities
- The Seeking Alpha community--both veterans and young contributors.
Building a passive income portfolio that is dividend-focused utilizing a diversified portfolio of Closed-End Funds, Business Development Companies, and REITs. Also, generating secondary income using an active income portfolio via covered calls and secured puts on dividend blue-chip companies.
I began writing articles on Seeking Alpha as a way to share my experiences with investing, as well as to generate some discussion from fellow Alpha Seekers in order to keep learning and growing as an investor.
My website is devoted to biblical financial principals, from saving and spending, to giving and investing and contentment.
I am an aspiring financial advisor turned blogger. I am a data analyst by trade with an education in financial planning from Florida State University. I focus on strategies to reach financial freedom through investing, minimizing taxes and opportunity cost analysis. I post my other work on timetravelmoney.com
I hold a PhD in the field of epidemiology a masters degree in public health. My undergraduate training is in policy, economics and the sciences. I have utilized my training in employment with government, academia, private industry and to further analyze the fundamentals and technicals of all manner of companies in different sectors. Specifically, I like to trade growth companies, REITS, biotechnology/ pharmaceuticals, precious metals, blue chips and small-cap companies.
Each market day I get up at 530 am and begin working/analyzing data before my day job. I focus much on current events, earnings, and developments. I also work after market hours to cover after hours developments or interesting action during the day. I aim to conduct 2 analysis per business day, which helps me stay focused on my own finances.
I have been investing for about 10 years. I also enjoy trading short expiration options, and investing in stocks with 3-20 year horizons. I enjoy writing with Seeking Alpha to share my opinion and analyses. I am a large believer in the crowd source model championed by Seeking Alpha and believe every ounce of analysis and opinion should be considered when you invest your personal finances.
The author is a former hedge fund trader now working as an Independent Trader, Consultant and author of the Panick Value Research Report. The Panick Report is a newsletter and alert service focused on undervalued high yield preferred stock issues and some undervalued micro cap equities. Sign up in the Dividends section of the Seeking Alpha Marketplace to receive exclusive subscriber articles, daily sector updates, advance drafts of public articles and more. Email email@example.com for more information. See also my Panick Value Research Report Facebook site for tips on upcoming articles.
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.
Rubicon Associates is headed by a Chartered Financial Analyst charter holder with over 20 years of experience in the investment management industry focused on the analysis, investment and management of fixed income and preferred stock portfolios. Over the years, he has analyzed and invested in both public and private companies around the world as well as advised institutional clients on fixed income strategies and manager selection. The principal has been responsible for managing nearly seven billion dollars in credit investments across the capital structure and overseeing the research and trading of credit market activities.
Rubicon Associates has written for Seeking Alpha, Learn Bonds, a newsletter and TheStreet.com in addition to advising institutional and private investors.
I suspect that most dividend investors are conservative by nature. I am. I don't believe I have any special talent or gift for trading, a crystal ball, or any access to insider information. Consequently, I have little expectation of prospering by consistently buying low and selling high. In fact, prior to becoming a dividend investor, my trading history boasted the opposite, buying high and selling low. Tis sad but true, over those years, I'd given more to the market than I'd taken from it. However, that's yesterday's news, and of no real interest. Of importance is that I'm patient, analytical, organized, pretty good at math, and always looking for that angle, strategy, or edge to help guarantee my continued market success. My book, The Dividend Investor's Guide, details my history, education and growth as a dividend investor and the lessons I learned along the way. It details an effective and safe overall investing philosophy, along with a discussion of several proven trading strategies designed to enhance one's portfolio's income and dividend yield.
Doug K. Le Du is a preferred stock researcher, author of the book titled Preferred Stock Investing, syndicated writer and publisher of three monthly preferred stock newsletters.
Doug has been studying the preferred stock marketplace since 2002. In 2006 he published the first edition of Preferred Stock Investing which has been updated and re-published regularly since then.
Preferred Stock Investing teaches risk-averse investors how to screen, buy and sell the highest quality preferred stocks. The book lists all qualifying preferred stocks that have been issued since January 2001.
The ten selection criteria from Preferred Stock Investing filtered out the 57 preferred stocks from the big banks that would be claimed by the Global Credit Crisis and let pass the 13 issues from the big banks that were saved by acquisition. In 70 out of 70 cases, a 100% success rate for almost two years running, the preferred stock selection criteria found in Preferred Stock Investing protected preferred stock investors.
As a researcher, Doug researches the market price behavior of the highest quality preferred stocks and writes to you about trends and opportunities. His premium subscription service (described at www.PreferredStockInvesting.com) providers subscribers with email alerts of new preferred stock issues, access to his preferred stock catalogs and HotLists, a monthly newsletter just for premium subscribers and much more.
Doug's academic background is in economics and statistics. Doug retired from his position as Managing Director at one of the world's largest management consulting firms in 2002 to focus on preferred stock research. Doug does not sell preferred stocks nor is he a stock broker or financial adviser.
Five Plus Investor is business owner and an avid follower of the stock market, managing seven different types of portfolios for family and friends. Five Plus Investor invests in multiple types of investments, with the goal of achieving relatively high dividend yield that has a reasonable margin of safety. She enjoys contributing to Seeking Alpha as she has time, with her core audience being new investors and retirees.
Tim McPartland is a private investor with over 45 years of investment experience. Additionally he is the editor, and former owner, of The Yield Hunter, a website devoted to the hunt for income producing securities of all types, but in particular specializing in preferred stocks, exchange traded debt and Master Limited Partnerships.
Wall Street Breakfast, Seeking Alpha's flagship daily business news summary, is a one-page summary that gives you a rapid overview of the day's key financial news. It's designed for easy readability on the site or by email (including on mobile devices), and is published before 7:00 AM ET every market day.
Wall Street Breakfast readership of over 900,000 includes many from the investment-banking and fund-management industries.
Sign up here to receive the Wall Street Breakfast in your inbox every business day: http://seekingalpha.com/account/email_preferences
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.
Self directed individual investor. I surpassed my own goals and expectations. I have been investing in the stock market since 1992. I used to day trade. Then I swing traded. Now I invest in dividend stocks with the focus on having the income exceed our needed expenses. I started investing in dividend stocks exclusively in 5/2011. I am ready to share my 22 years of experience in the stock market with young investors and retirees alike. I will share my mistakes and successes. Hopefully, I can help others avoid common mistakes.
RETIREMENT PORTFOLIO UPDATED As Of 6/3/2016
Current Allocations for my Retirement Portfolio:
1) MO = 100%
I have taken ROTH distributions in 2016 of about $113,000. This is the first year that I have taken distributions, they are non taxable and penalty free.
I currently have 96.5% of my stock market assets in ROTH IRA's. I will convert the rest of my MO (from my SEP IRA) in 2017 and 2018 into my ROTH IRA.
My Retirement Portfolio's return since 1/1/2009 according to Schwab.com's Portfolio performance: Full Disclosure - All of my funds were at Schwab in 2009 and 2010, In 2011 I started a Roth IRA at Fidelity, in 2014 I transferred funds from Schwab to Fidelity and in 2015 I transferred some funds to E-TRADE. Most of my funds are still at Schwab.
2009- + 165.95%
2010- + 28.02%
2011- (-) 1.99%
2012- + 11.59%
2013- (-) 5.31%
2014- + 38.84%
2015- + 6.11%
2016- YTD as of 6/10/2016 close + 19.25%
My Portfolio performance from 1992 - 1/1/2009 was not good. I was starting from a negative return since I had contributed more than my accounts were worth. 2008 had dropped my account about 75%!!!
My performance has been outstanding from 1/1/2009 till the present, my overall Retirement Portfolio performance has been exceptional, beating the S&P 500 substantially. My total value has increased more than 12 fold since my bottom in 2008!!!
Schwab.com's software does not have any data prior to 1/1/2009! They started the Portfolio performance function as of 1/1/2009.
My wife and I are now retired. We live off SS and the income from our portfolio. My investments are all income producers and include dividend growth stocks like T and MO, some higher yielding low growth issues like PNNT. and others in between. About 25% of my income comes from fixed income preferred issues. When I was younger I was more into growth, but my goal was to switch to income and live off that. So that is what I have achieved today. I also work as a tax preparer for the 4 months of tax season.
I was first interested in stocks and investing while in High School. With my first job I saved a significant portion of that and put it into various instruments i.e. Roth IRA and stocks mostly. I started college for Business Administration and continued teaching myself principles of investing and savings and good personal finance. I graduated with an MBA in Financial Planning from California Lutheran University in May of 2011.
I have not worked in any capacity as a financial analyst but have significant experience in stock analysis mainly using fundamental methods but have recently started using technical analysis as well. A significant portion of my free time is spent with this hobby and I have a lot at stake as I have been investing roughly 40% of my salary for the last 16 years. I have a significant nest egg at the moment and hope to be partially retired within 5 years by 2019. I have been building a property rental and investment business and continue to build that and expand that.
What does the future bring for me? I hope to continue building and growing my business as well as publish articles on investing and start a blog in the future as well.
I am a Certified Public Accountant (CPA) and a Certified Financial Planner (CFP) (currently do not have a private practice). I have also been a member of the American Institute of Certified Public Accountants (AICPA) for 17 years (CFF as well). I am currently employed with a global accounting firm in the Northeast area (partner). I have a masters degree in accounting + legal studies. I have audit, tax, and consulting experience with entities in the following sectors: closed-end funds, energy, financials, healthcare, homebuilders, pharmaceuticals, private equity, REITs, and telecoms. I've also have experience with C-corps., estates, high net worth individuals, LLCs, LLPs, S-corps., and trusts. I am a casual individual investor. My investing fundamentals are based on both qualitative and quantitative information. By using my analytical skills, I create specific investing ideas/strategies. I am more of a longer-term investor as opposed to day-trading.
Previous Quarterly Projection Article’s Performance vs. Actual Results:
# of Projections Stated Within All Articles: 167
# of Projections PENDING: 6
# of Projections 100% Accurate or Within Range: 156
# of Projections Inaccurate or Outside of Range: 11
Projection “Within Range” Success Rate: 156 / 167 = 93.4%
Please see the list at the bottom of this profile for the details of my past projections.
Disclaimer: I cannot own and will not give an opinion on any investments my current employer has any direct or indirect professional services with (accounting, audit, tax, consulting, etc.). This mainly consists of various mutual funds and exchange traded funds (ETF's). This includes all stocks held within these particular investment vehicles. This specified list is updated monthly. As such, most large-cap stocks are "off the table" regarding my articles. All accounting insight, analysis, and opinions stated within any articles I write (in regards to a specified stock) are entirely from my own personal research and analysis. I believe my articles are both informative and in some cases educational.
NOTE: A growing number of readers/investors, analysts, and representatives of firms have requested to be provided with my "spreadsheets/models" to help better understand certain companies/sectors. My researched data is several files of 100+ spreadsheets/models containing both stocks I write about on S.A. and stocks I choose to not write about on S.A. To reduce the repeated requests to provide such data, these spreadsheets/models are ALL linked together. As such, all current and future requests to "share" my data/models will be politely declined. Thanks for your understanding regarding this subject.
I appreciate my loyal readers and I’ll continue to try to provide high quality, in-depth articles.
NOTE: Below are the stocks I currently cover as of July 2016:
Stocks Covered In Great Detail (11 mREITs; 11 BDCs; 11 Other Sectors): ACAP (Proposed Spin-Off), ACAS, ACSF, AGNC, AINV, ANH, ARCC, ARR, CMO, CYS, FSAM, FSC, FSFR, GBDC, GOOG, GPRO, HTS, MAIN, MCC, MO, MTGE, NEWT, NLY, NVS, NYMT, ORC, PFAM (Proposed Spin-Off) PSEC, PM, PRIT (Proposed Spin-Off) PYLD (Proposed Spin-Off), SLRC TRP, and WMC.
Stocks Covered In Modest Detail (10 mREITs; 3 Other Sectors): AI, AMTG, BABA, EFC, IVR, JMI, MFA, MITT, NRZ (New), PHM, PMT, SLRC, TOL, TWO
Commonly Asked Questions:
Question 1): If you are only paid per article, why make your articles so long / detailed?
- I like to provide the “nuts and bolts” of a company. As such, I strive for my articles to have some sort of “hard to obtain” facts / figures. From this data, I like to fully discuss / analyze specific topics within a particular stock. This mainly consists of a quarterly projection article and a series of articles on a company’s dividend sustainability. In certain instances, I also write articles in regards to specific, material events that occur during a quarter.
- I believe a company’s quarterly results and upcoming dividend declarations are two of the most important topics readers are requesting information on. My analysis takes the “average” article several steps further to allow readers to have access to information that is rare to public viewership. In doing so, I believe my articles are both beneficial and educational for most readers.
Question 2): How come you only write 1-2 articles a week (would like to see more)?
- As stated in my profile above, I have a full-time professional career. I write / analyze stocks in my “free time”. To provide these types of high quality / in-depth articles, I can’t see writing more than 2 articles a week. I believe “quality” should always be a higher priority versus “quantity”.
- As many readers should know by now (if you’ve followed me for a while), I not here for the monetary rewards. If that was the case, I’d write 5+ weekly articles and provide little to no engagement in each article’s comment section. I believe the comments section is as important as the article themselves b/c readers have a wide range of questions in relation to each article or the sector in general.
Question 3): What do you personally gain from writing these articles?
- I am not here trying to promote a company, book, or website. There’s nothing wrong with that. However, that’s just not what I’m about. I’m here for the “average Joe”.
- When I decided to write these articles, I based it on the notion I am filling a “special niche” per se. Using skills that have been built up over my professional career, my articles usually provide unique information that most writers either a) don’t have the technical expertise to provide or b) don’t bother providing due to the time it takes to compile such data. As such, I believe the S.A. community benefits from my articles. I solely do this b/c it’s a passion of mine and I like helping readers have accurate, reliable data that is not readily available. Yes, I understand this may seem “hard to believe” in this day and age. However, I believe some of my more “seasoned” followers know this aspect of my generosity / personality. Also, in the past there were numerous misstated “facts / notions” in various articles I saw being written by the stocks I currently cover. Since I began to write my articles here, these misstatements / misnomers have decreased which is good for this forum.
Question 4): How come you do not write about more stocks?
- To give readers the level of detail that I provide in my articles, I amass large amounts of data every quarter (or even weekly). As a direct result, a large amount of time is consumed by obtaining / analyzing this data. This would only increase if I expanded my researched portfolio of stocks.
- If I expanded the stocks I research, it would most likely take away the quality of other articles I currently am writing about. Again, this gets back to the “quality vs. quantity” metric.
- There is a fairly large range of stocks / investment vehicles I cannot write about / provide an opinion on due to various conflicts of interests (regarding my professional career). This is a topic I take VERY seriously. As such, I take all necessary precautions to avoid any remote possibility of a conflict of interest occurring.
Detailed Past Projection List:
NAV as of 3/31/2014: $0.01 per share variance; within range ($10.67 projected vs. $10.68 actual)
NAV as of 6/30/2014: $0.00 per share variance; 100% accuracy ($10.56 projected vs. $10.56 actual)
NAV as of 9/30/2014: $0.01 per share variance; within range ($10.48 projected vs. $10.47 actual)
NAV as of 12/31/2014: $0.01 per share variance; within range ($10.34 projected vs. $10.35 actual)
NAV as of 3/31/2015: $0.03 per share variance; within range ($10.27 projected vs. $10.30 actual)
NAV as of 6/30/2015: $0.06 per share variance; within range ($10.25 projected vs. $10.31 actual)
NAV as of 9/30/2015: $0.17 per share variance; within range but at the higher end ($10.00 projected vs. $10.17 actual)
NAV as of 12/31/2015: $0.25 per share variance; slightly outside range; lower end ($9.90 projected vs. $9.65 actual)
NAV as of 3/31/2016: $0.11 per share variance; within range ($9.50 projected vs. $9.61 actual)
Fiscal Q3 2016 NII: $0.00 per share variance; within range ($0.25 projected vs. $0.25 actual)
Dividends for Fiscal Q4 2014: Stated dividend was currently safe (no specific dividend declarations) which turned out to be correct for April 2014 – June 2014 dividends declared
Dividends for Fiscal Q1 2015: 100% accuracy (July. 2014 $0.110475 projected vs. $0.110475 actual) (Aug. 2014 $0.110500 projected vs. $0.110500 actual) (Sept. 2014 $0.110525 projected vs. $0.110525 actual)
Dividends for Fiscal Q2 2015: 100% accuracy (Oct. 2014 $0.110550 projected vs. $0.110550 actual) (Nov. 2014 $0.110575 projected vs. $0.110575 actual) (Dec. 2014 $0.110600 projected vs. $0.110600 actual)
Dividends for Fiscal Q3 2015^: (Jan. 2015 $0.110625 projected vs. $0.110625 actual) (Feb. 2015 $0.110650 projected vs. $0.0833 actual OUTSIDE RANGE) (Mar. 2015 $0.110675 projected vs. $0.0833 actual OUTSIDE RANGE)
^ = Correctly stated dividend would be cut. However, PSEC reduced dividends beginning in February 2015 and I projected the dividend decrease would occur in April 2015 (2 months earlier than projected)
Dividends for Fiscal Q4 2015: (April. 2015 was declared in December 2014 prior to my analysis for this quarter) 100% accuracy (May 2015 - June 2015 $0.0833 projected vs. $0.0833 actual)
Dividends for Fiscal Q1 2016: 100% accuracy (July 2015 - September 2015 $0.0833 projected vs. $0.0833 actual)
Dividends for Fiscal Q2 2016: 100% accuracy (October 2015 - December 2015 $0.0833 projected vs. $0.0833 actual)
Dividends for Fiscal Q3 2016: 100% accuracy (January 2016 - March 2016 $0.0833 projected vs. $0.0833 actual)
Dividends for Fiscal Q4 2016: 100% accuracy (April 2016 - June 2016 $0.0833 projected vs. $0.0833 actual)
Dividends for Fiscal Q1 2017: 100% accuracy (July 2016 - August 2016 $0.0833 projected vs. $0.0833 actual) (September 2016 = PENDING)
BV as of 6/30/2013: $0.11 per share variance; within range ($25.40 projected vs. $25.51 actual)
BV as of 9/30/2013: $1.36 per share variance; MATERIALLY OUTSIDE RANGE ($26.63 projected vs. $25.27 actual)
BV as of 12/31/2013: $0.58 per share variance; within range lower end ($24.51 projected vs. $23.93 actual)
BV as of 3/31/2014: $0.04 per share variance; within range ($24.45 projected vs. $24.49 actual)
BV as of 6/30/2014: $0.66 per share variance; within range higher end ($25.60 projected vs. $26.26 actual)
BV as of 9/30/2014: $0.35 per share variance; within range ($25.19 projected vs. $25.54 actual)
BV as of 12/31/2014: $0.29 per share variance; within range ($25.45 projected vs. $25.74 actual)
Comprehensive Income for Q1 2015: $0.02 per share variance; within range ($0.48 per share projected vs. $0.46 per share actual)
BV as of 3/31/2015: $0.11 per share variance; within range ($25.64 projected vs. $25.53 actual)
BV as of 6/30/2015: $0.24 per share variance; within range ($24.24 projected vs. $24.00 actual)
BV as of 9/30/2015: $0.44 per share variance; within range lower end ($23.44 projected vs. $23.00 actual)
BV as of 10/31/2015: $0.06 per share variance; within my monthly $0.30 per share range ($22.98 projected vs. $23.04 actual)
BV as of 11/30/2015: $0.27 per share variance; within my monthly $0.30 per share range ($22.25 projected vs. $22.52 actual)
BV as of 12/31/2015: $0.01 per share variance; within range ($22.60 projected vs. $22.59 actual)
BV as of 1/31/2016: $0.01 per share variance; within range ($22.39 projected vs. $22.40 actual)
BV as of 2/29/2016: $0.09 per share variance; within range ($22.82 projected vs. $22.73 actual)
BV as of 3/31/2016: $0.16 per share variance; within range ($22.25 projected vs. $22.09 actual)
Dividend for Q1 2013: $0.00 per share variance; 100% accuracy ($1.25 projected vs. $1.25 actual)
Dividend for Q2 2013: Correctly stated dividend cut would occur; $0.15 per share variance; within range higher end ($0.90 projected vs. $1.05 actual)
Dividend for Q3 2013: Correctly stated another dividend cut would occur; $0.10 per share variance; within range ($0.90 projected vs. $0.80 actual)
Dividend for Q4 2013: Correctly stated another dividend cut would occur; $0.05 per share variance; within range ($0.60 projected vs. $0.65 actual)
Dividend for Q1 2014: Correctly stated dividend would be stable; $0.00 per share variance; 100% accuracy ($0.65 projected vs. $0.65 actual)
Dividend for Q2 2014: Correctly stated dividend would be stable; $0.00 per share variance; 100% accuracy ($0.65 projected vs. $0.65 actual)
Dividend for Q3 2014: Correctly stated dividend would be stable; $0.00 per share variance; 100% accuracy ($0.65 projected vs. $0.65 actual)
Dividend for November 2014 - April 2015: Correctly stated dividend would be stable; 100% accuracy ($0.22 projected vs. $0.22 actual)
Dividend for May 2015: Company declared dividend several weeks ahead of schedule; prior to my quarterly dividend sustainability analysis. As such, no dividend projection was provided for May 2015:
Dividend for June 2015 - August 2015: Correctly stated dividend would be stable; 100% accuracy ($0.20 projected vs. $0.20 actual)
Dividend for September 2015*: INCORRECTLY stated dividend would modestly reduced; ($0.18 projected vs. $0.20 actual)
Dividend for October and November 2015: Not provided but stated increased risk to reduction by end of 2015 / early 2016.
Dividend for December 2015**: Stated dividend would be stable; highest probability ($0.20 projected vs. $0.20 actual)
Dividend Declaration for January 2016: Not provided due to time constraints.
Dividend for February 2016 - July 2016: Correctly stated dividend would be stable; 100% accuracy ($0.20 projected vs. $0.20 actual)
BV as of 12/31/2013***: $0.40 per share variance; within range lower end ($21.87 projected vs. $21.47 actual)
BV as of 3/31/2014***: $0.16 per share variance; within range ($21.94 projected vs. $21.78 actual)
BV as of 6/30/2014***: $0.13 per share variance; within range ($22.60 projected vs. $22.73 actual)
BV as of 9/30/2014***: $0.29 per share variance; within range ($21.95 projected vs. $22.24 actual)
BV as of 12/31/2014***: $0.19 per share variance; within range ($22.10 projected vs. $21.91 actual)
BV as of 3/31/2015***: $0.20 per share variance; within range ($21.80 projected vs. $22.00 actual)
BV as of 6/30/2015***: $0.30 per share variance; within range ($22.00 projected vs. $21.70 actual)
BV as of 9/30/2015***: $0.17 per share variance; within range ($20.10 projected vs. $19.93 actual); excluding "one-time" ($0.20) per share impairment charge related to RCS; $0.03 per share variance ($20.10 projected vs. $20.13 actual; excluding impairment charge).
BV as of 12/31/2015***: $0.16 per share variance; within range ($19.50 projected vs. $19.66 actual)
BV as of 3/31/2016***: $0.22 per share variance; within range ($19.25 projected vs. $19.03 actual)
Dividend for Q3 2013***: Correctly stated dividend would be modestly cut; $0.00 per share variance; 100% accuracy ($0.70 projected vs. $0.70 actual)
Dividend for Q4 2013***: Correctly stated dividend would be slightly cut; $0.00 per share variance; 100% accuracy ($0.65 projected vs. $0.65 actual)
Dividend for Q1 2014***: Correctly stated dividend would be stable; $0.00 per share variance; 100% accuracy ($0.65 projected vs. $0.65 actual)
Dividend for Q2 2014 - Q4 2014***: Correctly stated dividend would be stable; $0.00 per share variance; 100% accuracy ($0.65 projected vs. $0.65 actual)
Dividend for Q1 2015***: INCORRECTLY stated dividend would be stable; ($0.15) per share variance; ($0.65 projected vs. $0.50 actual) In my opinion, the severity of this cut was very disappointing.
Dividend for Q2 2015***: Correctly stated dividend would be stable; $0.00 per share variance; 100% accuracy ($0.50 projected vs. $0.50 actual)
Dividend for Q3 2015***: INCORRECTLY stated dividend would be stable; ($0.10) per share variance; ($0.50 projected vs. $0.40 actual) In my opinion, the severity of this cut was very disappointing once again.
Dividend for Q4 2015 - Q2 2016***: Correctly stated dividend would be stable; $0.00 per share variance; 100% accuracy ($0.40 projected vs. $0.40 actual)
BV as of 3/31/2014***: $0.10 per share variance; within range ($12.40 projected vs. $12.30 actual)
BV as of 6/30/2014***: $0.43 per share variance; SLIGHTLY OUTSIDE RANGE higher end ($12.80 projected vs. $13.23 actual)
BV as of 9/30/2014***: $0.07 per share variance; within range ($12.95 projected vs. $12.88 actual)
BV as of 12/31/2014***: $0.15 per share variance; within range ($12.95 projected vs. $13.10 actual)
BV as of 3/31/2015***: $0.32 per share variance; SLIGHTLY OUTSIDE RANGE; lower end ($13.20 projected vs. $12.88 actual)
BV as of 6/30/2015***: $0.17 per share variance; within range ($12.15 projected vs. $12.32 actual)
BV as of 9/30/2015***: $0.16 per share variance; within range ($12.15 projected vs. $11.99 actual)
BV as of 12/31/2015***: $0.13 per share variance; within range ($12.60 projected vs. $12.73 actual) (most of the variance was in relation to the accretive effect of Q4 2015 share repurchases)
BV as of 3/31/2016***: $0.04 per share variance; within range ($11.65 projected vs. $11.61 actual)
Dividend for Q1 2014 - Q1 2015***: Correctly stated dividend would be stable; $0.00 per share variance; 100% accuracy ($0.30 projected vs. $0.30 actual)
Dividend for Q2 2015***: INCORRECTLY stated dividend would be reduced; $0.05 per share variance; ($0.25 projected vs. $0.30 actual)
Dividend for Q3 2015 - Q2 2016***: Correctly stated dividend would be stable; $0.00 per share variance; 100% accuracy ($0.30 projected vs. $0.30 actual)
NAV as of 3/31/2013: $0.03 per share variance; within range ($9.87 projected vs. $9.90 actual)
NAV as of 6/30/2013: $0.04 per share variance; within range ($9.94 projected vs. $9.90 actual)
NAV as of 9/30/2013: $0.01 per share variance; within range ($9.86 projected vs. $9.85 actual)
NAV as of 12/31/2013: $0.00 per share variance; 100% accuracy ($9.85 projected vs. $9.85 actual)
NAV as of 3/31/2014: $0.00 per share variance; 100% accuracy ($9.81 projected vs. $9.81 actual)
NAV as of 6/30/2014: $0.06 per share variance; within range lower end ($9.77 projected vs. $9.71 actual)
NAV as of 9/30/2014: $0.01 per share variance; within range ($9.65 projected vs. $9.64 actual)
NAV as of 12/31/2014: $0.37 per share variance; MATERIALLY OUTSIDE RANGE ($9.54 projected vs. $9.17 actual)
NAV as of 3/31/2015: $0.21 per share variance; OUTSIDE RANGE ($8.97 projected vs. $9.18 actual)
NAV as of 6/30/2015: $0.00 per share variance; 100% accuracy ($9.13 projected vs. $9.13 actual) (projections + article were provided to certain interested parties outside S.A.)
NAV as of 9/30/2015: $0.05 per share variance; within range ($8.95 projected vs. $9.00 actual) (projections + analysis were provided to certain interested parties; did not have enough time to provide an article)
FSC’s Dividend Sustainability Analysis Through Fiscal Q3 2013: Stated moderate to material dividend cut is needed; 100% accurate because company cut dividend beginning in December 2013
Dividend for Fiscal Q3 2015****: Correctly stated very low risk for a dividend reduction; dividend would be stable; $0.00 per share variance; 100% accuracy (April 2015 $0.06 projected vs. $0.06 actual) (May 2015 $0.06 projected vs. $0.06 actual) (June 2015 $0.06 projected vs. $0.06 actual)
Dividend for September - February 2016****: Correctly stated very low risk for a dividend reduction; dividend would be stable; $0.00 per share variance; 100% accuracy (September 2015 $0.06 projected vs. $0.06 actual) (October 2015 $0.06 projected vs. $0.06 actual) (November 2015 $0.06 projected vs. $0.06 actual) (December 2015 $0.06 projected vs. $0.06 actual) (January 2016 $0.06 projected vs. $0.06 actual) (February 2016 $0.06 projected vs. $0.06 actual)
NAV as of 12/31/2013: $0.12 per share variance; within range lower end (wider range b/c first full quarter of operations) ($15.22 projected vs. $15.10 actual)
NAV as of 3/31/2014: $0.03 per share variance; within range ($15.13 projected vs. $15.10 actual)
NAV as of 6/30/2014: $0.01 per share variance; within range ($15.14 projected vs. $15.13 actual)
NAV as of 9/30/2014: $0.02 per share variance; within range ($12.63 projected vs. $12.65 actual)
NAV as of 12/31/2014: $0.10 per share variance; within range (at lowest end) ($12.635 projected vs. $12.534 actual)
NAV as of 3/31/2015: $0.08 per share variance; within range ($12.38 projected vs. $12.46 actual)
NAV as of 6/30/2015: $0.15 per share variance; within range (at lowest end) ($12.38 projected vs. $12.23 actual)
NAV as of 9/30/2015: $0.18 per share variance; within range (at higher end) ($11.93 projected vs. $12.11 actual)
NAV as of 12/31/2015: Not provided to readers due to the fact the company "pre-announced" NAV prior to my quarterly projection analysis (due to a material reduction)
NAV as of 3/31/2016: $0.17 per share variance; within range (at higher end) ($11.01 projected vs. $11.18 actual)
Dividend Declaration for December 2015 - February 2016: Correctly stated very low probability (10%) for a dividend reduction; dividend would be stable; $0.00 per share variance; 100% accuracy (December 2015 $0.075 projected vs. $0.075 actual) (January 2016 $0.075 projected vs. $0.075 actual) (February 2016 $0.075 projected vs. $0.075 actual)
Dividend Sustainability Analysis Through Q4 2013: Stated material dividend cut was needed as soon as the next quarter; 100% accurate because company cut dividend in Q1 2014 from $0.80 per share (regular dividend portion) to $0.67 per share.
Dividend for Q4 2014*****: Stated dividend would be stable; $0.00 per share variance; 100% accuracy ($0.70 projected vs. $0.70 actual)
Dividend for Q1 2015***: Stated dividend would be "relatively" stable; accurate because company only cut its dividend by ($0.03) per share which, when calculated, was only a "minor" (< 5%) reduction
Dividend for Q2 2015***: Stated heightened risk for another minor - modest dividend reduction; accurate because company cut its dividend by ($0.03) per share which, when calculated, was another "minor" (< 5%) reduction
Dividend for Q3 2015: Correctly stated dividend would be modestly cut; $0.00 per share variance; 100% accuracy ($0.60 projected vs. $0.60 actual
Dividend for Q3 2015*****: Stated dividend had a modest to high probability (50% - 75%) of being reduced; 100% accurate because company reduced monthly dividends from $0.18 per share to $0.14 per share beginning in July 2015.
Dividend for August 2015 - July 2016: Correctly stated each month dividend would be stable; 100% accuracy ($0.14 projected vs. $0.14 actual)
BV as of 9/30/2015: $0.06 per share variance; within range ($11.63 projected vs. $11.69 actual)
BV as of 12/31/2015: $0.09 per share variance; within range ($11.74 projected vs. $11.65 actual)
BV as of 3/31/2016: $0.09 per share variance; within range ($11.10 projected vs. $11.01 actual)
BV as of 6/30/2016: $0.01 per share variance; within range ($10.86 projected vs. $10.85 actual)
Dividend Declaration for Calendar Q2 2015****: Correctly stated low risk for a dividend reduction; dividend would be stable; $0.00 per share variance; 100% accuracy (April 2015 $0.175 projected vs. $0.175 actual) (May 2015 $0.175 projected vs. $0.175 actual) (June 2015 $0.175 projected vs. $0.175 actual).
Dividend Declaration for September - November 2015: Correctly stated very low risk for a dividend reduction; dividend would be stable; $0.00 per share variance; 100% accuracy (September 2015 $0.175 - $0.18 projected vs. $0.180 actual) (October 2015 $0.175 - $0.18 projected vs. $0.180 actual) (November 2015 $0.175 - $0.18 projected vs. $0.180 actual).
Special Periodic Dividend Declaration for 2015: Correctly stated high probability of a special periodic dividend paid in December 2015; exactly at my projected mean: ($0.25 - $0.30 projected vs. $0.275 actual).
Dividend Declaration for December 2015 - February 2016: Correctly stated very low risk for a dividend reduction; dividend would be stable; $0.00 per share variance; 100% accuracy (December 2015 $0.18 projected vs. $0.180 actual) (January 2016 $0.18 projected vs. $0.180 actual) (February 2016 $0.18 projected vs. $0.180 actual).
Dividend Declaration for March 2016 - May 2016: Correctly stated very low risk for a dividend reduction; dividend would be stable; $0.00 per share variance; 100% accuracy (March 2016 $0.18 - $0.185 projected vs. $0.180 actual) (April 2016 $0.18 - $0.185 projected vs. $0.180 actual) (May 2016 $0.18 - $0.185 projected vs. $0.180 actual).
Dividend Declaration for June 2016 - August 2016: Correctly stated very low risk for a dividend reduction; dividend would be stable; $0.00 per share variance; 100% accuracy (June 2016 $0.18 - $0.185 projected vs. $0.180 actual) (July 2016 $0.18 - $0.185 projected vs. $0.180 actual) (August 2016 $0.18 - $0.185 projected vs. $0.180 actual).
Special Periodic Dividend Declaration for First-Half 2016: Correctly stated high probability of a special periodic dividend paid in June 2016; exactly at my projected mean: ($0.25 - $0.30 projected vs. $0.275 actual).
Q4 2015 Adjusted Diluted EPS: $0.00 per share variance; 100% accuracy ($0.67 projected vs. $0.67 per share actual)
Q1 2016 Adjusted Diluted EPS: $0.02 per share variance; within range lower end of $0.04 per share range ($0.70 projected vs. $0.72 per share actual)
Q2 2016 Adjusted Diluted EPS: $0.01 per share variance; 100% accuracy ($0.80 projected vs. $0.81 per share actual)
* = Stated there was a 60% probability dividend would be reduced to $0.18 per share; a 30% probability dividend would remain stable at $0.20 per share
** = Stated there was a 45% probability dividend would be reduced to $0.16 - $0.19 per share
*** = Provided within an AGNC article
**** = Provided within a PSEC article
***** = Provided within a NLY article
Tom Dorsey has a BS in Business Administration and a stock analyst for over 20 years.
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Peter F. Way is a veteran Chartered Financial Analyst, having taken and passed the CFA Institute’s required 3 examinations in the first years they were given, 40+ years ago.
Armed with BS in Economics from the Wharton School and an MBA degree from Harvard Business School, he has managed staffs of dozens of Investment Researchers and Quantitative Analysts for the nation’s largest bank, arbitraged index options for NYSE Specialists, and managed portfolios of hundred-million-dollar equity investments for Fortune 100 corporate pension funds and non-profit endowments.
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Upon inventing IBM’s first spread sheet program at age 27 I developed my first stock price forecasting model using this software. I tested my model's performance on a database of over 50 stocks with 15 years of historical daily price and earnings data. The model was statistically significant in picking short-term price bottoms. Since retiring from a career in high-tech product management in 2009 I’ve developed those models further. I now have market direction models for the major North America markets that incorporate public and proprietary metrics that have proven robust in extensive performance back-testing and sensitivity analysis. I am a member of the Canadian Society of Technical Analysts.
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