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Investing Research Articles

859 Research Articles

Crowd Surges Predict Negative Returns?

Does relative demand for crowd-sourced information about a stock compared to other information (such as financial statements and analyst estimates) predict its performance? In their March 2017 paper entitled “Investor Reliance on the Crowd”, Alastair Lawrence, James Ryans, Estelle Sun and Akshay Soni investigate interactions between reliance on crowd-sourced information (Yahoo Finance message board page views) versus other information… Keep Reading

Guru Re-grades

What happens to the rankings of Guru Grades after weighting each forecast by forecast horizon and specificity? In their March 2017 paper entitled “Evaluation and Ranking of Market Forecasters”, David Bailey, Jonathan Borwein, Amir Salehipour and Marcos Lopez de Prado re-evaluate and re-rank market forecasters covered in Guru Grades after weighting each forecast by these two parameters. They employ… Keep Reading

Survey of Research on Silver, Platinum and Palladium as Investments

What research is available bearing on silver, platinum and palladium as investments? In their April 2017 paper entitled “The Financial Economics of White Precious Metals – A Survey”, Samuel Vigne, Brian Lucey, Fergal O’Connor and Larisa Yarovaya summarize the body of academic research on the financial economics of silver, platinum and palladium. The survey covers relevant studies of… Keep Reading

Automated Liquidity Extraction Trading System Applied to Currencies

How profitable is automated multi-horizon extraction of liquidity premiums in currency exchange markets? In their April 2017 paper entitled “The Alpha Engine: Designing an Automated Trading Algorithm”, Anton Golub, James Glattfelder and Richard Olsen introduce an adaptive counter-trend algorithmic trading system that seeks liquidity premiums from price series via automated trades at adaptive market events. The… Keep Reading

Smart Life Cycle Investing?

Can investors improve retirement glide paths via judicious use of smart beta funds? In their March 2017 paper entitled “Life Cycle Investing and Smart Beta Strategies”, Bill Carson, Sara Shores and Nicholas Nefouse augment a conventional equities-bonds life cycle investing glide path with smart beta strategies. They use a conventional glide path, which gradually decreases the allocation to… Keep Reading

Improving the Magic Formula

What’s the best way to combine profitability and value in screening stocks? In their April 2017 paper entitled “The Magic Formula: Value, Profitability, and the Cross Section of Global Stock Returns”, Douglas Blackburn and Nusret Cakici compare performances of a portfolio based on the Magic Formula (MF) and a portfolio based on an Improved Magic Formula… Keep Reading

Currency and Cryptocurrency Exchange Rate Momentum Tests

How well do time series (intrinsic) and cross-sectional (relative) momentum work for different types of currency exchange rates? In their April 2017 paper entitled “Momentum in Traditional and Cryptocurrencies Made Simple”, Janick Rohrbach, Silvan Suremann and Joerg Osterrieder compare the effectiveness of time series and cross-sectional momentum as applied to three groups of currency exchange rates: G10 currencies;… Keep Reading

Sources of Trend-following Profitability

What makes trend-following tick? In the April 2017 version of his paper entitled “What Drives Trend-Following Profits?”, Adrian Zoicas-Ienciu investigates sources of trend-following profits in equity indexes and stocks. He focuses on daily trading signals for Dow Jones Industrial Average (DJIA) closing levels, as follows: Each day after the close, he compares the DJIA close to… Keep Reading

Forecasting VIX Spikes

Is there a reliable way to forecast spikes in U.S. stock market expected volatility, as measured by the CBOE Volatility Index (VIX), and thereby avoid or exploit associated market declines? In his April 2017 paper entitled “Forecasting a Volatility Tsunami”, Andrew Thrasher examines several calm-before-the-storm signals for predicting spikes in VIX, which he defines as a 30%… Keep Reading

Predicting Anomaly Premiums Across Asset Classes

Are anomaly premiums (expected winners minus losers among assets within a class, based on some asset characteristic) more or less predictable than broad market returns? In their April 2017 paper entitled “Predicting Relative Returns”, Valentin Haddad, Serhiy Kozak and Shrihari Santosh apply principal component analysis to assess the predictability of premiums for published asset pricing anomalies spanning stocks,… Keep Reading