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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.

Fundamental Analysis of Australian Stocks

Do Piotroski’s FSCORE for value stocks and Mohanram’s GSCORE for growth stocks predict winners and losers for non-U.S. stocks? In their March 2013 paper entitled “Fundamental Based Market Strategies”, Angelo Aspris, Nigel Finch, Sean Foley and Zachary Meyer apply previously documented fundamental (accounting-based) strategies to identify Australian stocks expected to outperform and underperform. Specifically, they consider FSCORE, GSCORE (sans advertising input due to lack of data) and RM-Index (combining a valuation assessment with measures of financial performance, creditworthiness, liquidity and operational efficiency). The FSCORE (GSCORE) ranking focuses on the fifth of stocks with the highest (lowest) book-to-market ratios, while the RM-Index ranking considers all stocks in the universe. Annual rescoring of stocks occurs at the beginning of the fifth month after financial year-ends to ensure public availability of data at the time of portfolio reformation. Using returns and fundamentals for S&P/ASX 300 firms during 2000 through 2010, they show that: Keep Reading

A Few Notes on Quantitative Value

Wesley Gray (founder and executive managing member of Empiritrage LLC and Turnkey Analyst LLC) and Tobias Carlisle (founder and managing member of Eyquem Investment Management LLC) describe their 2013 book, Quantitative Value: A Practitioner’s Guide to Automating Intelligent Investment and Eliminating Behavioral Errors, as “first and foremost about value investment–treating stock as part ownership of a business valued through analysis of fundamental financial statement data. …There are several quantitative measures that lead to better performance…: enhancing the margin of safety, identifying the highest quality franchises, and finding the cheapest stocks. We canvass the research in each, test it in our own system, and then combine the best ideas in each category into a comprehensive quantitative value strategy.” Using price and fundamental data for a broad sample of U.S. stocks (over about 40 years ending with 2011) to confirm and refine key findings of value investing research streams, they argue and find that: Keep Reading

Predictable Long-run Stock Market Returns?

Are there exploitable long-term cycles in U.S. stock market returns? In the January 2013 update of his paper entitled “Secular Mean Reversion and Long-Run Predictability of the Stock Market”, Valeriy Zakamulin explores mean reversion of the S&P Composite Index over intervals ranging from two to 40 years. He then runs an out-of-sample horse race using inception-to-date data to compare three regression-based models for forecasting long-term stock market returns: (1) mean reversion over the dynamically optimal horizon; (2) the random walk (future mean return equals (evolving) historical mean return); and, (3) valuation based on Robert Shiller’s cyclically adjusted price-to-earnings ratio (P/E10). Using real (Consumer Price Index-adjusted) S&P Composite Index total annual returns and earnings over the period 1871 through 2011 (141 years), he finds that: Keep Reading

ETF Price-NAV Gaps Exploitable?

Does market-driven deviation of the price of an exchange-traded fund (ETF) from its net asset value (NAV) predict an exploitable future return? In the September 2012 draft of their paper entitled “Reading Tomorrow’s Newspaper: Predictability in ETF Returns”, Jon Fulkerson and Bradford Jordan examine the relationship between price-to-NAV ratio and next-day return for ETFs. Using daily opening and closing prices for 762 equity ETFs and their components as available during January 2000 through early February 2011 equity, with the extreme 1% of recorded price-to-NAV values trimmed to exclude data entry errors, they find that: Keep Reading

Exploit VXX Deviation from Indicative Value?

The authors of the study summarized in “Exploit ETN Deviation from Indicative Value?” argue that deviations of prices for exchange-traded notes (ETN) from their indicative (immediate redemption) values may be useful as trading signals. How well does this mispricing concept work for the very liquid iPath S&P 500 VIX Short-term Futures ETN (VXX)? To check, we consider several mispricing thresholds and measure the short-term profitability of both long and short trades based on these thresholds. Using daily split-adjusted opening and closing prices and closing indicative values for VXX from inception at the end of January 2009 through mid-September 2012 (916 trading days), we find that: Keep Reading

Exploit ETN Deviation from Indicative Value?

Issuers of exchange-traded notes (ETN) publish daily indicative (immediate redemption) values for these debt instruments. Does deviation of the market price of an ETN from its indicative value represent an exploitable mispricing? In their September 2012 paper entitled “Mispricing and Trading Profits in ETNs”, Dean Diavatopoulos, Helyette Geman, Lovjit Thukral and Colby Wright investigate the gross profitability of a simple weekly trading strategy that buys (sells) ETNs priced under (over) associated indicative values. Specifically, they identify mispricings at the close each Tuesday (to avoid holiday and weekend effects), enter equally weighted positions at the next open and exit one week later. They test mispricing thresholds ranging from 0.50% to 20%. To assure liquidity, they specify target ETNs based on minimum average daily share volumes of 20,000 (34 ETNs), 50,000 (15 ETNs), 100,000 (12 ETNs) or 250,000 (seven ETNs). They ignore trading frictions, liquidity issues and shorting costs/constraints. Using Tuesday closing prices and indicative values and Wednesday opening prices for the specified ETNs during June 2006 through January 2012 (5.7 years), they find that: Keep Reading

Trading Country Stock Markets Based on Relative P/E10

Is it practical to compare valuations of different stock markets? In his August 2012 paper entitled “Global Value: Building Trading Models with the 10 Year CAPE”, Mebane Faber investigates the usefulness of 10-year cyclically adjusted price-to-earnings ratio (CAPE, or P/E10) in determining relative values for 32 country stock markets. Specifically, he ranks all country markets based on P/E10 each year starting in 1980 and reforms equally weighted portfolios annually of those market indexes with the lowest and the highest relative valuations. He uses an equally weighted, annually rebalanced portfolio of all country indexes as a benchmark. Using annual real total returns (in local currencies) and 10-year average lagged aggregate real earnings for all 32 country stock markets as available through 2011, he finds that: Keep Reading

Growth Investing Success Factors

What is growth investing, and how well does it work? How can investors enhance this investment style? In his July 2012 paper entitled “Growth Investing: Betting on the Future?”, Aswath Damodaran examines different approaches to growth investing: focusing on companies with small market capitalization; playing initial public offerings (IPO); seeking growth at a reasonable price (GARP); and, activist venture capital-like investing. He defines growth investing as pursuit of market undervaluation of future growth, looking for bargains based on overlooked growth potential. Based on the body of growth investing research, he finds that: Keep Reading

Testing P/E10 in Developed Markets

Does P/E10, current real (inflation-adjusted) level of a stock market index divided by associated average real earnings over the last ten years, usefully predict stock market returns for developed stock markets other than the U.S.? In their March 2012 paper entitled “Value Matters: Predictability of Stock Index Returns”, Natascia Angelini, Giacomo Bormetti, Stefano Marmi and Franco Nardini test the ability of P/E10 to predict future returns for 12 developed country stock market indexes: Australia, Belgium, Canada, France, Germany, Japan, the Netherlands, Norway, Sweden, Switzerland, the UK and the U.S. Using monthly stock market index levels, aggregate price-earnings ratios and consumer price indexes during January 1871 through March 2011 for the U.S. and during December 1969 through December 2010 for other markets, they find that: Keep Reading

Predictive Power of P/E10 Worldwide

Does P/E10, current real (inflation-adjusted) level of a stock market index divided by associated average real earnings over the last ten years, usefully predict stock market returns for non-U.S. markets? In the July 2012 revision of his paper entitled “Does the Shiller-PE Work in Emerging Markets?”, Joachim Klement assesses the validity of P/E10 as a long-term stock market return predictor in local currencies for 19 developed and 16 emerging equity markets. He calculates P/E10 in each market monthly using overlapping return and earnings measurement intervals. Using monthly data for country stock market indexes, earnings and inflation as available (with start dates ranging from January 1910 for the U.S. to January 2005 for China and Columbia) through April 2012, he finds that: Keep Reading

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