Objective research to aid investing decisions

Value Investing Strategy (Strategy Overview)

Allocations for June 2023 (Final)

Momentum Investing Strategy (Strategy Overview)

Allocations for June 2023 (Final)
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Investing Expertise

Can analysts, experts and gurus really give you an investing/trading edge? Should you track the advice of as many as possible? Are there ways to tell good ones from bad ones? Recent research indicates that the average “expert” has little to offer individual investors/traders. Finding exceptional advisers is no easier than identifying outperforming stocks. Indiscriminately seeking the output of as many experts as possible is a waste of time. Learning what makes a good expert accurate is worthwhile.

A Few Notes on The Bible of Compounding Money

Andrew Abraham, founder of Abraham Investment Management, prefaces his 2013 book, The Bible of Compounding Money: The Complete Guide to Investing with World Class Money Managers, by stating: “I wrote this book because I wanted to separate the snake oil from reality when investing. …By investing with world class money managers I have compounded money and thus been able to live my dreams and enjoy this with my family. I have a complete set of rules for investing in and identifying world class money managers. It is both a quantitative approach as well as qualitative approach full of due diligence. I want to ‘try’ to buy the best managers, diversify among them and make sure they are liquid and transparent. Nothing is held back. Everything is disclosed.” Using examples of successful investors and drawing upon his own experience as a trader and investor, he concludes that: Keep Reading

University Endowment Research Summary

What research is available on investment approaches, allocations and results for U.S. university endowments? In their January 2013 paper entitled “A Survey of University Endowment Management Research”, Georg Cejnek, Richard Franz, Otto Randl and Neal Stoughton summarize available research on university endowment money management and performance. They identify four streams of research: (1) governance structure and investment policy statement; (2) asset allocation; (3) performance; and, (4) spending. Based on this research, they conclude that: Keep Reading

Analyst Stock Ratings and Future Returns

Do analyst stock ratings usefully predict associated returns? In his November 2012 paper entitled “Are Stock Recommendations Useful”, Ireneus Stanislawek examines the relationship between stock ratings offered by sell-side analysts around the globe over the past decade and future stock returns. He defines an overall analyst rating ratio for a stock as the number of positive ratings minus the number of negative ratings, divided by the total number of ratings. He also considers the monthly change in this ratio for a stock, employing a lag to exclude the immediate impact of a rating change on stock price. Using monthly stock ratings and returns for MSCI World Index stocks (an average of 23,000 ratings per month) from the end of 2001 through mid-2012, he finds that: Keep Reading

Exploiting Insider Trading Sequences

Are there certain kinds of insider trades that are more exploitable than others? In their August 2012 paper entitled “Insider Trading Patterns”, David Cicero and Babajide Wintoki define and examine two kinds of insider trading: (1) isolated trades (no trades in prior or subsequent months; and, (2) sequenced trades (occurring in successive months). They hypothesize that when insiders have short-maturity (long-maturity) information, they tend toward isolated (sequenced) trading. They measure insider trading informativeness via post-trade abnormal returns to associated stocks, calculated relative to returns for matched stocks with no insider trading or via adjustment based on a four-factor (market, size, book-to-market, momentum) model of stock returns. Using a broad sample of insider trades in U.S. stocks aggregated monthly by insider, along with associated stock prices and firm characteristics, during January 1986 through December 2011, they find that: Keep Reading

How Advisors Help Individual Investors?

Are investment advisors worth the price? In the August 2012 version of their paper entitled “The Impact of Financial Advisors on the Stock Portfolios of Retail Investors”, Marc Kramer and Robert Lensink investigate the impact of financial advisors on individual investor portfolio returns, risk, trading frequency and diversification. For sampled investors, the sponsoring bank standardizes strategic asset allocation advice, but the advisors made available to investors by the bank have great latitude in recommending specific stocks. While all investors are eligible for advice, each elects either an advisory relationship (randomly selected advisors) or self-directed trading. The study emphasizes controlling for any self-selection bias associated with the type of investors who seek advice, and focuses on common stock holdings to avoid any conflicts associated with mutual fund incentives. Using demographics and complete histories of common stock positions and trades for 5,661 individual advised and self-directed Dutch investors during April 2003 through August 2007 (193,418 monthly returns), they find that: Keep Reading

CFOs Still the Best Inside Traders?

“CFOs vs. CEOs as Inside Traders” describes research finding that, based on data from before the Sarbanes-Oxley Act (SOX), investors should assume that Chief Financial Officers (CFO) are better inside traders than Chief Executive Officers (CEO). Does this finding hold after SOX? In the August 2012 update of their paper entitled “CEOs, CFOs, and COOs: Why Are Certain Insiders’ Trades More Informative?”, Heather Knewtson and John Nofsinger examine insider trading performance of CEOs, CFOs and Chief Operating Officers (COO) spanning SOX implementation. They measure trading performance based on 50-day future returns for overlapping portfolios formed daily to capture executive stock purchases (more informative than sales) unique to category (the other two categories not trading that day) within the past 50 days. They consider both equal and dollar value weightings of qualifying trades. They estimate trading alpha based on a four-factor (market, size, book-to-market, momentum) model of stock returns. They consider subsamples based on pre-SOX versus post-SOX, and CEOs with and without experience as CFO. Using executive trading disclosures, contemporaneous returns for associated stocks and risk factor data during 1992 through 2009, they find that: Keep Reading

Mutual Fund Performance Persistence

Do top-performing mutual funds reliably continue to be top performers. In their June 2012 semiannual report entitled “Does Past Performance Matter? S&P Persistence Scorecard”, Standard and Poor’s summarizes performance persistence statistics for U.S. mutual funds overall and for funds grouped by capitalization focus of holdings. They measure persistence of the top 25% (quartile) and top half of funds across multiple subsequent years and frequency of migration of all performance quartiles from one multi-year interval to the next. Using annual performance data for a broad sample of U.S. mutual funds during March 2002 through March 2012, they find that: Keep Reading

Dueling Consensus Forecasts of Economic Indicators

Which consensus forecast of U.S. economic indicators is best? How does the U.S. equity market react to consensus forecast errors? In their April 2012 paper entitled “Market Reaction to Information Shocks: Does the Bloomberg and Briefing.com Survey Matter?”, Linda Chen, George Jiang and Qin Wang investigate the accuracy of, and equity futures market reactions to, competing Bloomberg and Briefing.com survey-based forecasts for the values of scheduled weekly, biweekly, monthly and quarterly economic announcements. They focus on 14 announcements commonly treated as important: Building Permits, Capacity Utilization, Case-Shiller 20-city Index, Consumer Confidence, Consumer Price Index, Durable Goods Orders, Existing Home Sales, GDP Advance, Leading Indicators, Non-farm Payrolls, Personal Spending, Producer Price Index, Retail Sales and Unemployment Rate. They introduce standardization to compare errors across different indicator scales. Using consensus forecasts and announced values of 59 economic indicators, along with contemporaneous high-frequency price and volume data for the nearest S&P 500 futures contract (as available), over the period January 1998 through August 2010, they find that: Keep Reading

Best Stock Market Forecasters?

Where can investors find the best stock market forecasters: academia, banks, government? In the March 2012 draft of his paper entitled “On the Forecasting Quality of Professionals”, Aron Veress compares the stock market forecasting accuracies of different professional groups (academics, commercial bankers, investment bankers, government employees and non-financial professionals) who participate in the semi-annual Livingston Survey, both to each other and to quantitative predictors. He focuses on forecasts of the S&P Composite Index return at horizons of roughly one month and six months after publication of survey reports (early June/December of each year). He considers also a naive forecasting approach that invests in stocks or cash according to which has the higher preceding return. Using results from 120 semi-annual surveys and contemporaneous data for the S&P Composite Index and commonly used financial/economic U.S. stock market predictors, he finds that: Keep Reading

Verdict on Financial Markets Efficiency?

What do three prominent academic experts conclude when they review the body of evidence for and against the Efficient Markets Hypothesis (EMH), and therefore the potential benefit of speculation? In the April 2011 version of their paper entitled “Review of the Efficient Market Theory and Evidence”, Andrew Ang, William Goetzmann and Stephen Schaefer review the theoretical and empirical literature on EMH, with focus on implications for active investment management. They consider a range of markets and tests of both prices and investment managers, noting that EMH has evolved to consider the costs of collecting, analyzing and exploiting market information (trading frictions, financing costs, manager fees). Based on this literature review, they conclude that: Keep Reading

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