Objective research to aid investing decisions

Value Investing Strategy (Strategy Overview)

Allocations for January 2022 (Final)

Momentum Investing Strategy (Strategy Overview)

Allocations for January 2022 (Final)
1st ETF 2nd ETF 3rd ETF

Fundamental Valuation

What fundamental measures of business success best indicate the value of individual stocks and the aggregate stock market? How can investors apply these measures to estimate valuations and identify misvaluations? These blog entries address valuation based on accounting fundamentals, including the conventional value premium.

Volatility and Valuation Ratios

Conventional wisdom holds that a low market valuation ratio and a high market volatility both relate positively to future market return. Do valuation ratio and volatility therefore relate negatively to each other with some consistency? If not, why not? In their November 2009 paper entitled “What Ties Return Volatilities to Price Valuations and Fundamentals?”, Alexander David and Pietro Veronesi investigate the relationships between stock and bond valuations and their volatilities in the context of varying investor beliefs about future economic growth and inflation. Using S&P 500 operating earnings from Standard & Poor’s, daily closes of the S&P 500 Index, daily bond yield/return data and monthly values of the Consumer Price Index over the period 1958 through 2008 (51 years), they conclude that: Keep Reading

Better to Meet or Beat Analyst Earnings Forecasts?

Should investors look for consistent predictability, or upside surprises, in quarterly earnings announcements? In his November 2009 paper entitled “Meeting Analyst Forecasts and Stock Returns”, Ioan Mirciov investigates relationships between announced earnings (relative to analyst forecasts) and long-run future stock performance. Using earnings forecasts, actual earnings, stock returns and firm characteristics data for a broad sample of U.S. stocks over the period 1993-2007, he concludes that: Keep Reading

A Few Notes on Fire Your Stock Analyst!

In his 2009 book Fire Your Stock Analyst!: Analyzing Stocks On Your Own (2nd Edition), author Harry Domash “describes practical step-by-step strategies for finding, researching, and evaluating investment candidates…one for growth stocks, and the other for value investors. …The methods described make use of information readily available to anyone connected to the Internet, but in new ways…” The target audience of the book encompasses “investors willing to put in the time and effort it takes to find and research profitable stock investments.” The culminations of the book (Chapter 18) are separate value stock and growth stock “analysis scorecards.” Some notable points from the book are: Keep Reading

Abnormal Returns after Extreme Quarterly Earnings

Do investors efficiently process the information in extreme quarterly earnings? In their November 2009 paper entitled “Post Loss/Profit Announcement Drift”, Karthik Balakrishnan, Eli Bartov and Lucile Faurel examine whether investors fully price the implications of current quarterly losses/profits for future losses/profits. They consider three alternative definitions for profit/loss, all scaled by beginning-of-quarter total assets: (1) earnings before extraordinary items and discontinued operations; (2) earnings before extraordinary items, discontinued operations and special items; and, (3) net income. Using stock return, financial and risk adjustment data for a broad sample of 15,143 distinct firms (458,693 firm-quarters) over the period 1976-2005 (120 quarters), they conclude that: Keep Reading

Fly-off of Eight GARP, Value and Size Strategies

Is the value premium readily accessible for individual investors? Which value strategy works best? In his May 2009 article entitled “Can Individual Investors Capture The Value Premium?”, Patrick Larkin uses a ranking methodology to compare the performances of Joel Greenblatt’s magic formula and seven other one and two-factor growth at a reasonable price (GARP) and value strategies. The portfolios for the eight strategies derive from rankings on: (1) the magic formula, a combination of return on capital (ROC) and the ratio of earnings before interest and taxes to Enterprise Value ((EBIT/EV); (2) a combination of return on assets (ROA) and earnings yield (E/P); (3) a combination of return on equity (ROE) and E/P; (4) EBIT/EV alone; (5) E/P alone; (6) a combination of book-to-market ratio (B/M) and market capitalization (Size); (7) B/M alone; and, (8) Size alone. Each month, the author forms equally weighted portfolios of the 30 highest-ranking stocks for each of these eight strategies. Using monthly stock return and GARP-value metric data for a broad sample of firms with market capitalizations over $50 million during December 1998-2006 (97 months), he finds that: Keep Reading

A Play on ETF NAVs?

A reader asked: “Does buying Exchange-Traded Funds (ETF) currently trading below Net Asset Value (NAV) provide a real advantage in the long run? In other words, are they ‘bound’ to reach NAV at some point? Does buying a fund which is trading at a discount to NAV and shorting a fund within the same sector that is trading at a premium to NAV make sense?” Keep Reading

Tobin’s q as a Stock Return Predictor?

A reader asked: “I was wondering if you can weigh in on Tobin’s q as a predictor of stock returns.” Keep Reading

Haugen’s Closed Case

What fundamental and technical factors are optimum for stock selection, and how well do they work? In the October 2008 draft of their paper entitled “Case Closed”, flagged by a reader, Robert Haugen and Nardin Baker present a model of future stock returns based on multiple regressions of 12 factors they find most significant in predicting monthly returns. Using monthly data for a sample of U.S. stocks over the 45-year period 1963-2007, they conclude that: Keep Reading

Combining Value and Earnings Surprise

Do earnings surprises work differently for value and growth stocks? If so, can investors exploit the difference? In the September 2009 draft of their paper entitled “When Two Anomalies meet: Post-Earnings Announcement Drift and Value-Glamour Anomaly”, Zhipeng Yan and Yan Zhao investigate the combined effects of the value premium and the post-earnings announcement drift anomaly. They first sort stocks into quintiles according to some measure of value (book-to-market ratio, earnings-to-price ratio, cash-flow-to-price ratio or three-year average sales growth) and then allocate firms within these quintiles to six categories according to sign of the most recent quarterly earnings surprise (+/-/0) and the direction of the most recent earnings announcement abnormal return (+/-). Using stock price, earnings estimate and accounting data for a broad sample of firms over the period June 1984 through December 2008, they find that: Keep Reading

A Few Notes on The Dark Side of Valuation

In the 2009 second edition of his book, The Dark Side of Valuation: Valuing Young, Distressed, and Complex Businesses, Professor of Finance Aswath Damodaran, investigates and offers remedies for “dark practices and flawed methods in valuation.” He emphasizes “the importance of first principles in valuation and how they should guide us when we’re faced with estimation questions and issues.” As summarized in the closing chapter, the key enlightening propositions of the book are: Keep Reading

Daily Email Updates
Filter Research
  • Research Categories (select one or more)