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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Feature Investigation For Stock Returns Prediction Using Xgboost And Deep Learning Sentiment Classification, Seungho (Samuel) Lee
Feature Investigation For Stock Returns Prediction Using Xgboost And Deep Learning Sentiment Classification, Seungho (Samuel) Lee
CMC Senior Theses
This paper attempts to quantify predictive power of social media sentiment and financial data in stock prediction by utilizing a comprehensive set of stock-related fundamental and technical variables and social media sentiments. For conducting sentiment analysis, this study employs a pretrained finBERT model that provides three different sentiment classifications and respective softmax scores. Hence, the significance of these variables is evaluated with XGBoost regression and Shapley Additive exPlanations (SHAP) frameworks. Through investigating feature importance, this study finds that statistical properties of sentiment variables provide a stronger predictive power than a weighted sentiment score and that it is possible to quantify …
An Evaluation Of Knot Placement Strategies For Spline Regression, William Klein
An Evaluation Of Knot Placement Strategies For Spline Regression, William Klein
CMC Senior Theses
Regression splines have an established value for producing quality fit at a relatively low-degree polynomial. This paper explores the implications of adopting new methods for knot selection in tandem with established methodology from the current literature. Structural features of generated datasets, as well as residuals collected from sequential iterative models are used to augment the equidistant knot selection process. From analyzing a simulated dataset and an application onto the Racial Animus dataset, I find that a B-spline basis paired with equally-spaced knots remains the best choice when data are evenly distributed, even when structural features of a dataset are known …
Determinants Of Housing Supply Expansion In The Western United States, Nathaniel Tolles
Determinants Of Housing Supply Expansion In The Western United States, Nathaniel Tolles
CMC Senior Theses
New residential construction is an important indicator of economic health. Previous empirical work demonstrates the profound power of housing starts in forecasting recession. Theoretical research, backed by empirical study, suggests that home prices and interest rates are closely related to the amount of residential investment. This paper attempts to better understand the complex relationship between various factors that influence the supply and demand of new housing; what information do suppliers and regulators use to determine how many new units of housing will be constructed? Specifically, we will look at the respective state housing markets of California, Oregon, and Washington by …