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AFS Advanced Research in Financial Planning Conference 2024

du 18 au 20 September 2024

Columbus, Ohio, United States

The Academy of Financial Services (AFS) is excited to be collaborating with FPA to provide an "integrated conference experience" for AFS members this year. The AFS research conference will run for the full 2.5 days of the FPA Conference as part of a dedicated research track bringing the best of AFS and the Journal of Financial Planning (JFP) to you.

  1.  A dedicated Research Room for presentations designed to bring the most relevant research impacting professional financial planners. This includes research sessions sponsored by the JFP and peer-reviewed research papers presented by AFS members. These sessions are CE credit approved.
  2. The winner of the JFP's Montgomery-Warschauer Award for best research from the prior year will present their research.
  3. In the Research Room AFS will coordinate other research content such as a panel discussion with the editors of the 4 major FP research journals explaining to planners and academics the type of research content to be found, how to best consume/digest research and apply it to a FP practice and more.
  4. A new FP Research Shark Tank. Based on the format of the popular TV series a select number of researchers will do 5 minute "pitches" on research that they believe would be significantly impactful for practitioners. Planners and researchers will then vote on the most exciting research proposal.
  5. AFS are co-ordinating 2 additional mini-breakout research rooms where researchers will present additional peer-reviewed, unpublished research selected from the many submissions we received. A timetable of these sessions can be found below.
  6. AFS will manage the research rooms for fully-hybrid attendance with face-to-face or virtual attendance. Although the content will be exceptional, we hope to see many of you in person as the networking, exhibit hall, FPA keynote speakers and other sessions outside of the research cannot be experienced any other way.

The Impact of Sentiment on Dynamic NASDAQ Movement Prediction

mercredi 18 septembre 2024 à 17:30–19:00 ADT
113-115
Short Description

The paper employs the XGBoost algorithm to explore how integrating sentiment indicators affects the prediction accuracy of trading decisions for the NASDAQ index across various prediction window lengths during monthly trading days. The results demonstrate that incorporating sentiment can improve prediction accuracy, particularly within shorter time horizons, such as within a 1-day window. However, this enhancement diminishes or even reverses as the time horizon extends.

Lead & Corresponding Author

Wenguang Lin, Western Connecticut State University

Additional Authors

Chargement en cours …