Investing Research Articles

Below is a weekly summary of our research findings for 1/23/23 through 1/27/23. 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.

Given that finance is ultimately tied to human emotions, does the body of research support belief that abilities of machine learning to handle large amounts of data, non-linearities and variable interactions will revolutionize investing? In their January 2023 paper entitled “How Can Machine Learning Advance Quantitative Asset Management?”, David Blitz, Tobias Hoogteijling, Harald Lohre and… Keep Reading

How would currently popular asset allocation strategies have performed back to the end of 1925? In their January 2023 paper entitled “A Century of Asset Allocation Crash Risk”, Mikhail Samonov and Nonna Sorokina test the following seven widely used asset allocation strategies back to 1926 using a combination of actual and modeled returns for many… Keep Reading

Below is a weekly summary of our research findings for 1/17/23 through 1/20/23. 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.

Are non-fungible tokens (NFT) viable and attractive as an investment class? In their December 2022 paper entitled “Non-Fungible Tokens (NFTs) as an Investment Class”, Mieszko Mazur and Efstathios Polyzos provide an overview of NFT investing. First, they summarize NFT primary and secondary markets, exchanges, aggregators, borrowing and lending,  and staking. Then, they analyze returns for… Keep Reading

Is there an optimal net (incorporating trading frictions) trend-following strategy for broad stock portfolios? In their November 2022 paper entitled “Optimal Trend-Following With Transaction Costs”, Valeriy Zakamulin and Javier Giner develop and test a simple model that incorporates short-term return persistence (trend) and trading frictions (half bid-ask spread, fees and impact of trading). Their trend-following… Keep Reading

Below is a weekly summary of our research findings for 1/9/23 through 1/13/23. 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.

Can investors make the stock return momentum effect stronger/more reliable by isolating stocks for which many similar stocks exhibit very strong or very weak past returns? In his December 2022 paper entitled “Neighbouring Assets”, Sina Seyfi explores this question by sorting stocks based on average past returns of other stocks with the most similar sets… Keep Reading

If a published theory is correct, its empirical results should hold for years after original test samples end. Are peer-reviewed, theory-supported (risk-based) academic studies of stock return predictors thereby superior to other streams of predictor research, and thereby especially useful to investors? In their December 2022 paper entitled “Peer-Reviewed Theory Does Not Help Predict the… Keep Reading

Do stocks with high exposures to new technologies outperform? In her December 2022 paper entitled “New Technologies and Stock Returns”, Jinyoung Kim examines future returns of stocks with relatively high exposures to new technologies as measured via patent analysis. Each June, she applies machine learning to both textual and citation information to detect technology areas… Keep Reading