Autonomous driving paper index
Analysis of Political Tweets and Intra-day Market Dynamics
One-line summary
We investigate the relationship between social media activity of presidential candidate Donald J.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
We investigate the relationship between social media activity of presidential candidate Donald J. Trump in 2024 and short-term equity market dynamics. Using one-minute intraday data for SPY and tweets posted by him during the 2024 U.S. presidential campaign, we analyze how tweet sentiment, as measured with VADER algorithm, content, and timing are associated with market volatility and returns over various intraday horizons, ranging from 1 to 30 minutes. We find that tweets are associated with increases in short-term market volatility. Post-tweet volatility rises by approximately 33% relative to the pre-tweet levels. This effect is asymmetric, as negative tweets generate larger and more significant volatility responses than positive ones. However, we find no evidence of statistically significant abnormal returns following tweets across various time windows.
Links and sources
Need this topic turned into a technical roadmap?
Full Self Driving can prepare a custom autonomous driving literature review, code map, dataset map, and B2B technology assessment.
Request B2B research
Comments