MEDIA SENTIMENT AND STOCK PRICES: ANALYSING TEMPORAL DYNAMICS AND PREDICTIVE RELATIONSHIPS IN TESLA AND META
The study investigates the relationship between media sentiment and stock price fluctuations. Using quantitative techniques, the research examines data from Tesla and Meta from 2019 to 2024. Headlines and adjusted stock prices were processed into monthly averages to reduce noise, enabling statistic...
Saved in:
| Main Authors: | Laura Čigileičikaitė, Gabrielė Gailiūtė, Jekaterina Kartašova |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Editura Universitatii Agora
2024-12-01
|
| Series: | Agora International Journal of Economical Sciences |
| Online Access: | https://univagora.ro/jour/index.php/aijes/article/view/6942 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Permuted Temporal Kolmogorov-Arnold Networks for Stock Price Forecasting Using Generative Aspect-Based Sentiment Analysis
by: Agus Tri Haryono, et al.
Published: (2024-01-01) -
The Impact of Investor Sentiment on Direction of Stock Price Changes: Evidence from the Polish Stock Market
by: Kamil Polak
Published: (2021-12-01) -
A Novel Hybrid GCN-LSTM Algorithm for Energy Stock Price Prediction: Leveraging Temporal Dynamics and Inter-Stock Relationships
by: Babak Amiri, et al.
Published: (2025-01-01) -
VALUATION MODEL OF CROWDFUNDING CAMPAIGNS APPLYING SIMPLE ADDITIVE WEIGHTING METHOD
by: Santautė Venslavienė, et al.
Published: (2024-12-01) -
Sentiment works in small-cap stocks: Japanese stock’s sentiment with language models
by: Masahiro Suzuki, et al.
Published: (2025-06-01)