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Investing Research Articles

3422 Research Articles

Do Aggregate State Tax Revenues Lead the Stock Market

A subscriber asked whether aggregate U.S. state tax revenues, as an indicator of economic activity, lead the U.S. stock market. To investigate, we compare behaviors of total quarterly state tax collections and SPDR S&P 500 ETF Trust (SPY). Because these series are not stationary (generally increasing rather than mean reverting), we relate changes in them…. Keep Reading

Do the “Best Companies To Work For” Outperform?

A subscriber asked for corroboration of a claim that the “Best Companies To Work For” (BCTWF) substantially beat the overall stock market. To investigate, we: Compile the employee survey-based top 10 BCTWF winners for 2014 through 2022 (nine years, so 90 companies). Optimistically assume winner lists are available by the end of March each year… Keep Reading

Online, Real-time Test of AI Stock Picking

Will equity funds “managed” by artificial intelligence (AI) outperform human investors? To investigate, we consider the performance of AI Powered Equity ETF (AIEQ). Per the offeror, the EquBot model supporting AIEQ: “…leverages IBM’s Watson AI to conduct an objective, fundamental analysis of U.S. domiciled common stocks, including Special Purpose Acquisitions Corporations (“SPAC”), and real estate… Keep Reading

Are Equity Multifactor ETFs Working?

Are equity multifactor strategies, as implemented by exchange-traded funds (ETF), attractive? To investigate, we consider seven ETFs, all currently available: iShares Edge MSCI Multifactor USA (LRGF) – holds large and mid-cap U.S. stocks with focus on quality, value, size and momentum, while maintaining a level of risk similar to that of the market. The benchmark… Keep Reading

Asset Class ETF Seasonalities?

Do exchange-traded funds (ETF) that track asset classes, such as those used in the Simple Asset Class ETF Momentum Strategy (SACEMS) and the Simple Asset Class ETF Value Strategy (SACEVS), exhibit reliable seasonalities? To check, we look at average return by calendar month for the following nine ETFs: SPDR S&P 500 ETF Trust (SPY) iShares… Keep Reading

Weekly Summary of Research Findings: 9/11/23 – 9/15/23

Below is a weekly summary of our research findings for 9/11/23 through 9/15/23. These summaries give you a quick snapshot of our content the past week so that you can quickly decide what’s relevant to your investing needs. Subscribers: To receive these weekly digests via email, click here to sign up for our mailing list.

AAPL Returns Around iPhone Series Release Dates

A subscriber asked how Apple Inc. (AAPL) stock behaves around unveiling of new iPhone models. To investigate, we identify 19 distinct iPhone series release dates from 6/29/07 through 9/16/22 and calculate average daily cumulative returns for AAPL from 21 trading days before release date (Day 0) through 63 trading days after release date. Two pairs… Keep Reading

Median Long-term Returns of U.S. Stocks and Portfolio Concentration

Are concentrated stock portfolios inherently disadvantaged by lack of diversification? In his June 2023 paper entitled “Underperformance of Concentrated Stock Positions”, Antti Petajisto analyzes rolling future returns for individual U.S. stocks relative to the broad U.S. stock market (market-adjusted) as a way to assess implications of concentrated stock portfolios. He focuses on median return as… Keep Reading

Home Prices and the Stock Market

…data from the past 41 years indicate little or no contemporaneous relationship between the equity market and the residential real estate market. There may be a weak, inverse, multi-year relationship between home appreciation and stock returns.

Robustness of Machine Learning Return Forecasting

Are new machine learning portfolio strategies practically better than old stock factor ways? In their August 2023 paper entitled “Predicting Returns with Machine Learning Across Horizons, Firms Size, and Time”, Nusret Cakici, Christian Fieberg, Daniel Metko and Adam Zaremba examine the ability of various machine learning models to predict stock returns for: (1) monthly and… Keep Reading