Calendar Effects
The time of year affects human activities and moods, both through natural variations in the environment and through artificial customs and laws. Do such calendar effects systematically and significantly influence investor/trader attention and mood, and thereby equity prices? These blog entries relate to calendar effects in the stock market.
July 24, 2008 - Calendar Effects, Size Effect
Is an adaptive marketplace extinguishing the January effect? In their June 2008 paper entitled “The Persistence of the Small Firm/January Effect: Is it Consistent with Investors’ Learning and Arbitrage Efforts?”, Kathryn Easterday, Pradyot Sen and Jens Stephan investigate whether the stock market has adapted over time to diminish the small firm/January effect. Using returns and firm size data for a very large sample of stocks over three subperiods (1946-1962, 1963-1979, 1980-2007), they conclude that: Keep Reading
April 21, 2008 - Animal Spirits, Calendar Effects
Do northern hemisphere seasonal variations impact stock market volatility and return by affecting aggregate investor/trader mood? In their April 2008 paper entitled “Seasonal Affective Disorder (SAD) and Perceived Market Risk”, Guy Kaplanski and Haim Levy test the effect of seasonal environmental factors (daylight hours, temperature and fall season) on perceived market risk as indicated by the Chicago Board Options Exchange Volatility Index (VIX). VIX, also known as the Fear Index, is a measure of the risk perceived by traders of S&P 500 index options. Using VIX and actual volatility data and environmental measurements (for latitude 41 degrees north, Chicago and New York) over the period 1990-2007, they conclude that: Keep Reading
March 26, 2008 - Calendar Effects
Are there patterns to intraday stock returns and, if so, are they exploitable? In their March 2008 paper entitled “Intraday Patterns in the Cross-Section of Stock Returns”, Steven Heston, Robert Korajczyk and Ronnie Sadka examine the intraday behavior of stock prices. Using return data for 13 half-hour intervals during the trading day for all NYSE-listed stocks over the decimalized period of 2001-2005, they conclude that: Keep Reading
December 20, 2007 - Calendar Effects
Do Treasury instruments exhibit a seasonal return pattern? If so, is the pattern related to that of stock returns? In their September 2007 paper entitled “Opposing Seasonalities in Treasury versus Equity Returns”, Mark Kamstra, Lisa Kramer and Maurice Levi investigate the calendar month dependence of returns for U.S. Treasuries and its relationship to that of U.S. stock returns. Using monthly returns for mid-term to long-term Treasury indexes and for a broad equal-weighted stock index over the period 1952-2004, along with contemporaneous economic data, they find that: Keep Reading
August 9, 2007 - Calendar Effects
What part of the day offers the best stock returns? Does this sweet spot vary by day of the week, time of the month or calendar month? In their July 2007 paper entitled “Return Differences between Trading and Non-trading Hours: Like Night and Day”, Michael Cliff, Michael Cooper and Huseyin Gulen use transaction-level data to decompose returns for individual stocks and exchange-traded funds (ETF) into four time intervals: Night (4:00 PM to 9:30 AM), AM (9:30 AM to 10:30 AM), Mid-day (10:30 AM to 3:00 PM), and PM (3:00 PM – 4:00 PM). Using intraday price data for the period 1993-2006, they conclude that: Keep Reading
March 30, 2007 - Calendar Effects
Do stocks have annual rhythms beyond the January effect? In their March 2007 paper entitled “Common Patterns of Predictability in the Cross-Section of International Stock Returns”, Steven Heston and Ronnie Sadka investigate cyclic patterns of return predictability for stocks in Canada, Japan and twelve European countries (chosen based on the number of firms available for analysis). Using monthly returns over the period January 1985 through June 2006 (258 months), they conclude that: Keep Reading
October 20, 2006 - Calendar Effects
Does an opening stock price above or below the prior session close indicate price movement for the rest of the trading day? If so, is the indication tradable. In their September 2006 paper entitled “The Overnight Return: One More Anomaly”, Ben Branch and Aixin Ma investigate the relationships between overnight and adjacent intraday returns for individual stocks. Using NYSE, AMEX and NASDAQ data over the period 1994-2005, they find that: Keep Reading
September 5, 2006 - Calendar Effects, Mutual/Hedge Funds
Do hedge funds eliminate, or even reverse, seasonal effects in the returns of the stock market? In his September 2006 paper entitled “Seasonality in Hedge Fund Strategies”, Yan Olszewski investigates general seasonal effects for various hedge fund strategies. Using monthly excess return data during 1990-2005 for 30 of the 37 equally-weighted Hedge Fund Research strategy indexes encompassing over 1600 funds, he finds that: Keep Reading
July 20, 2006 - Calendar Effects
Do stock prices move systematically at the turn of calendar months? In the July 2006 draft of their paper entitled “Equity Returns at the Turn of the Month”, Wei Xu and John McConnell examine equity returns from the beginning the last trading day of one month through the first three trading days of the next month. Using daily returns for a broad range of stocks across exchanges over the period 1926-2005 (with focus on the segment 1987-2005), they conclude that: Keep Reading
March 14, 2006 - Calendar Effects
The Halloween effect suggests that investors should be in stocks during November through April and in cash during May through October. Is there a connection between the January effect and the Halloween effect, or are they distinct market anomalies? In their March 2006 paper entitled “Halloween or January? Yet Another Puzzle”, Brian Lucey and Shelly Zhao examine seasonal returns to determine whether the Halloween effect is just an imprecise reflection of the January effect. Using monthly return data for U.S. stocks allocated to capitalization-based size deciles over the period 1926-2002, they conclude that: Keep Reading