Investing Research Articles

…monthly returns for mid-term to long-term Treasuries exhibit a seasonality that is roughly the mirror image of that for stock returns, with November standing out as an exception (strong for stocks and Treasuries).

…expect more dynamic strategies [such as 130% long/30% short] to become passive benchmarks as the investor base becomes more sophisticated and demanding.

…this book is a generally accessible challenge to the widespread use of Gaussian statistics as tools of prediction in socioeconomics (encompassing investing). With strong emphasis on intractable uncertainty, it is necessarily parsimonious and vague regarding advice to investors.

…mutual fund timers on average underperform passive buy-and-hold mutual fund investors. Investors who use fund-compensated investment advisors exhibit particularly bad timing.

…an investor who enters (exits) the market when the S&P 500 index crosses above (below) its 200-day moving average may miss most of the extremely high volatility days but will probably not enhance cumulative return by missing them.

…actively managed mutual funds on average generate about half their value by picking the right industries rather than the right stocks. This big-picture skill, not company analysis, accounts for fund performance persistence.

…perceptions move markets. Market beliefs, which may express mistaken forecasts, are at least as important to asset pricing as macroeconomic fundamentals.

…mutual funds with relatively few holdings tend to underperform, refuting the view that focus on a few ideas supports good stock picking.

How do investors respond to the state of the U.S. federal fiscal deficit? In their August 2007 paper entitled “Fiscal Policy and Asset Markets: A Semiparametric Analysis”, Dennis Jansen, Qi Li, Zijun Wang and Jian Yang examine the relationships between U.S. fiscal policy and U.S. asset markets (stocks and bonds). Using monthly data for the… Keep Reading

…big up and down days appear to have some tendency to cluster, with such volatility clusters associated more with market bottoms than with continuing downtrends.