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Full-Text Articles in Business
Forecasting Stock Market Prices: A Machine Learning Approach, Abraham Alhomadi
Forecasting Stock Market Prices: A Machine Learning Approach, Abraham Alhomadi
All Graduate Plan B and other Reports, Spring 1920 to Spring 2023
There has been extensive literature written about the efficiency of the stock market. Practitioners and academicians have debated whether investors can exploit publicly available information to generate excess returns. Clearly predicting the stock market’s return with high accuracy has been enormously difficult, but we are interested in contributing to the continuous exploration of the efficiency of the stock market using machine learning techniques. We also want to examine the relationship between our dataset’s macroeconomic indicators and foreign nations’ stock markets with our target feature—the S&P 500. In this paper, we will be using supervised machine learning models, like Linear Regression, …
Short Selling Around Reverse Stock Splits, Ryan Voges
Short Selling Around Reverse Stock Splits, Ryan Voges
All Graduate Plan B and other Reports, Spring 1920 to Spring 2023
I examine whether short selling increases around reverse stock splits using 2019 daily short selling data instead of bimonthly short interest data required by FINRA. In my difference-in-difference analysis, I find that average short selling increases significantly for firms that reverse split their stock, relative to matched control firms that do not, around the split dates. I also find that firms that reverse split their stock experience negative cumulative abnormal returns in the 20-day period after the reverse stock splits, particularly for those firms that are heavily shorted. These results are in agreeance with existent literature and suggest that short …