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Momentum Investing Strategy (Strategy Overview)

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Momentum Investing

Do financial market prices reliably exhibit momentum? If so, why, and how can traders best exploit it? These blog entries relate to momentum investing/trading.

International Test of Momentum Strategies

Do momentum trading strategies work consistently across country markets? In his December 2008 paper entitled “Are Anomalies Still Anomalous? An Examination of Momentum Strategies in Four Financial Markets “, Daxue Wang applies various tests to measure the profitability of momentum strategies in the two largest stock markets in each of Europe (UK and Germany) and Asia (Japan and China). He tests overlapping equally weighted portfolios formed on returns over the past 3, 6, 9 or 12 months (no wait month) and held for 3, 6, 9 or 12 months. Using monthly stock price data and firm characteristics for companies comprising more than 95% of market capitalization in each country over the period 1990 (1994 for China) through 2006, he concludes that: Keep Reading

Time for Momentum ETFs?

Why are there no “momentum” exchange-traded funds (ETF)? What would it take to create them? How might they have performed in recent years? In their November 2008 paper entitled “Momentum and Contrarian Stock-Market Indices”, Jon Eggins and Robert Hill propose a new class of diversified momentum (overweighting stocks that have recently outperformed) and contrarian (underweighting these same stocks) ETFs derived from partitions of a benchmark index. Their methodology allows adjustment of the degree to which a partition is momentum or contrarian via a single parameter, with associated turnover increasing as the degree of momentumness or contrarianness increases. ETFs based on such index partitions would allow individual investors practical access to diversified momentum/contrarian strategies and provide performance benchmarks for momentum and contrarian investment managers. Using price data for the components of the Russell 1000 index over the period June 1995-June 2007 to construct baseline momentum and contrarian indexes, they conclude that: Keep Reading

Enhancing Momentum Returns with Style

Do growth and value investing styles have momentum? If so, can investors/traders enhance momentum trading returns by accounting for the stylishness of stocks (the degree to which they fit into either a growth or value style)? In their August 2008 paper entitled “Style Investing, Co-movement and Return Predictability”, Sunil Wahal and Deniz Yavuz measure returns from the combination of stock momentum and stock stylishness. They consider momentum portfolio formation and holding intervals of three, six and 12 months, with an intervening skipped month. They define stock stylishness (but do not use that term) as the degree of stock price co-movement with either growth stocks or value stocks over the past three months. Using monthly returns, book-to-market ratios and market capitalizations for a broad set of stocks over the period 1965-2006, they conclude that: Keep Reading

Combining Momentum and Roll Return Signals for Commodity Futures

Does combining two commodity futures trading signals shown to be effective in prior research, momentum and roll return (term structure), improve on both? In the May 2008 version of their paper entitled “Tactical Allocation in Commodity Futures Markets: Combining Momentum and Term Structure Signals”, Ana-Maria Fuertes, Joelle Miffre and Georgios Rallis measure the combined value of momentum and roll return signals in the design of commodity futures trading strategies. They test combinations that iteratively buy backwardated (positive roll return) winners and short contangoed (negative roll return) losers. Using daily closing prices on the nearby, second nearby and distant contracts for 37 commodities as available over the period January 1979 through January 2007, they find that: Keep Reading

Momentum Returns for Large Caps

Are momentum trading strategies reliable and economically significant after trading frictions for large-capitalization stocks? In his November 2006 paper entitled “Alpha Generating Momentum Strategies”, Gregor Obrecht test 32 momentum trading strategies on large-capitalization U.S. stocks. The strategies encompass all combinations of: formation periods of three, six, nine and 12 months; wait periods of zero months and one month; and, holding periods of three, six, nine and 12 months. Using monthly returns for S&P 100 stocks over the period 12/85-8/06, he concludes that: Keep Reading

Exploiting Industry Momentum Via ETFs?

Industries arguably follow multi-month cycles of outperformance and underperformance. Can investors use industry/sector Exchange Traded Funds (ETF) to capture abnormal returns from industry momentum? In their June 2008 paper entitled “Can Exchange Traded Funds Be Used to Exploit Industry Momentum?”, Laurens Swinkels and Liam Tjong-A-Tjoe analyze the profitability of industry momentum strategies based on two sets of industry/sector ETFs. Using monthly ETF return data for the period July 2000 through November 2007, they conclude that: Keep Reading

Returns of High-Momentum Stocks Around Earnings Announcements

Do the attention-grabbing past returns of high-flying stocks produce pre-earnings announcement buying frenzies? In the April 2008 version of their paper entitled “Limited Attention and the Earnings Announcement Returns of Past Stock Market Winners”, David Aboody, Reuven Lehavy and Brett Trueman examine whether the limited time and resources of small investors explains a striking return pattern around the earnings releases of firms with extremely strong prior year price momentum. Using daily stock return data and earnings release/forecast news from the beginning of 1971 through the third quarter of 2005 for a broad sample of companies, they conclude that: Keep Reading

Classic Paper: Physical Inventories and Commodity Futures Returns

We occasionally select for retrospective review an all-time “best selling” research paper from the past few years from the General Financial Markets category of the Social Science Research Network (SSRN). Here we summarize the June 2007 paper entitled “The Fundamentals of Commodity Futures Returns” (download count over 2,500) by Gary Gorton, Fumio Hayashi and Geert Rouwenhorst. Commodity futures are derivative, short-maturity claims on real assets. In this paper, the authors apply the theory of storage to investigate relationships between the physical inventories of these assets and the returns to traders in the associated commodity futures. Using monthly data for over 30 commodity futures and associated physical inventories as available between 1969 and 2006 and data from the weekly Commodity Futures Trading Commission Commitments of Traders (COT) reports, they conclude that: Keep Reading

Momentum and Contrarian Commodity Futures Returns

Do commodity futures exhibit short-term momentum and long-term reversion, as do stocks? In the August 2006 version of their paper entitled “Momentum Strategies in Commodity Futures Markets”, Joelle Miffre and Georgios Rallis examine the profitability of 32 momentum (short-term continuation) and 24 contrarian (long-term reversal) strategies in commodity futures markets. The momentum strategies buy (sell) recently outperforming (underperforming) commodity futures and hold resulting long-short portfolios up to 12 months. The contrarian strategies buy (sell) the commodity futures that underperformed (outperformed) in the distant past and hold resulting long-short portfolios for periods of two to five years. All strategies trade liquid futures contracts with nearby maturities involving 31 commodities, unimpeded by short-selling restrictions often encountered in equity markets. Using futures contract price data spanning 1/31/79-9/30/04, they conclude that: Keep Reading

Institutional Trading, Returns and Strength of Anomalies

Are there exploitable differences in returns for stocks with heavy versus light institutional trading activity? In his March 2008 paper entitled “Trader Composition and the Cross-Section of Stock Returns”, Tao Shu analyzes the impact of institutional trading activity on the returns of individual stocks and on the strength of the momentum effect, post earnings-announcement drift (PEAD), the value premium and the investment effect. He calculates institutional trading activity at a quarterly frequency by dividing the aggregate absolute change in reported institutional holdings of a stock by the contemporaneous total quarterly trading volume for the stock. Using holdings data as reported via SEC Form 13F and associated stock trading volume and return data for the period 1980-2005, he concludes that: Keep Reading

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