March 27, 2023 - Strategic Allocation, Volatility Effects
Can investors use leveraged exchange-traded funds (ETF) to construct attractive versions of simple 60%/40% (60/40) and 40%/60% (40/60) stocks-bonds portfolios? In their March 2020 presentation package entitled “Robust Leveraged ETF Portfolios Extending Classic 40/60 Portfolios and Portfolio Insurance”, flagged by a subscriber, Mikhail Smirnov and Alexander Smirnov consider several variations of classic stocks/bonds portfolios implemented… Keep Reading
March 24, 2023 - Miscellaneous
Below is a weekly summary of our research findings for 3/20/23 through 3/24/23. 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.
March 24, 2023 - Equity Options, Strategic Allocation
Does the difference in individual stock/market return relationships between good times (relatively low correlations) and bad times (relatively high correlations) present an easy and efficient way to hedge against stock market crashes (tail risk)? In their March 2023 paper entitled “Tail Risk Hedging: The Search for Cheap Options”, Poh Ling Neo and Chyng Wen Tee… Keep Reading
March 23, 2023 - Fundamental Valuation, Momentum Investing, Strategic Allocation, Technical Trading, Volatility Effects
A subscriber asked about boosting the performance of the Simple Asset Class ETF Value Strategy (SACEVS) and the Simple Asset Class ETF Momentum Strategy (SACEMS), and thereby the Combined Value-Momentum Strategy (SACEVS-SACEMS), by substituting ProShares Ultra S&P500 (SSO) for SPDR S&P 500 ETF Trust (SPY) in these strategies whenever: SPY is above its 200-day simple… Keep Reading
March 22, 2023 - Technical Trading
A subscriber proposed using Minervini Trend Template criteria to time broad U.S. stock market proxies such as SPDR S&P 500 ETF Trust (SPY). Specifically, use leveraged versions of SPY when SPY meets the following seven criteria: SPY is above both its 150-day and 200-day simple moving averages (SMA150 and SMA200). SMA150 is above SMA200. SMA200… Keep Reading
March 21, 2023 - Momentum Investing, Strategic Allocation
A subscriber suggested that the Simple Asset Class ETF Value Strategy (SACEVS) and the Simple Asset Class ETF Momentum Strategy (SACEMS) may each exhibit return momentum at the strategy level, such that an investor holding both as in Combined Value-Momentum Strategy (SACEVS-SACEMS) may want to tilt each month toward the one with stronger recent returns…. Keep Reading
March 20, 2023 - Aesthetic Investments, Equity Premium
Do good firm environmental, social and governance (ESG) ratings signal attractive stock returns? If so, what is the best way to exploit the signals? In their February 2023 paper entitled “Quantifying the Returns of ESG Investing: An Empirical Analysis with Six ESG Metrics”, Florian Berg, Andrew Lo, Roberto Rigobon, Manish Singh and Ruixun Zhang test… Keep Reading
March 17, 2023 - Miscellaneous
Below is a weekly summary of our research findings for 3/13/23 through 3/17/23. 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.
March 17, 2023 - Equity Options, Equity Premium
Defined outcome Exchange-Traded Funds (ETF) use complex options strategies that buffer against loss but cap gain to generate a defined outcome for investors over a predefined period. Are they attractive? In their February 2023 paper entitled “The Dynamics of Defined Outcome Exchange Traded Funds”, Luis García-Feijóo and Brian Silverstein analyze average performance of the Innovator… Keep Reading
March 16, 2023 - Equity Premium, Investing Expertise, Strategic Allocation
Can machine learning perfect equity sector rotation? In the January 2023 version of their paper entitled “Deep Sector Rotation Swing Trading”, flagged by a subscriber, Joel Bock and Akhilesh Maewal present a sector rotation strategy guided by multiple-input, multiple output deep learning model. The strategy chooses weekly from among 11 U.S. sectors using exchange-traded fund… Keep Reading