Azzahra Nikmatul Ilmi
Sekolah Tinggi Ilmu Ekonomi Enam Enam Kendari

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Retail Investor Social Media Sentiment as a Determinant of Technology Sector Stock Price Movements Burhanuddin; Nasution; Azzahra Nikmatul Ilmi; Wa Ode Irma Sari
Perspectives on Advanced New Generations of Global and Local Economic Horizons Vol. 1 No. 3 (2025): November, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/panggaleh.v1i3.298

Abstract

The Technology sector is increasingly influenced by decentralized, real-time sentiment from retail investors disseminated via social media, fundamentally challenging market efficiency assumptions and raising systemic risk concerns (Guzman et al., 2025). This study performs a quantitative assessment to quantify the determinant influence of retail investor social media sentiment on technology sector stock price movements relative to conventional market indicators (trading volume and momentum). The investigation utilized a six-month dataset from five highly-traded technology stocks (AAPL, MSFT, NVDA, TSLA, AMD). Sentiment was accurately classified using a fine-tuned BERT model (Chen & Liu, 2024). The core analysis applied a novel PCA-Hidden Markov Model (PCA-HMM) framework used to mitigate multicollinearity and identify distinct market regimes (stable vs. volatile) followed by regime-switching multivariate regression (Zhou et al., 2025). The analysis reveals that social media sentiment is a significant predictor of daily stock returns (Novak & Smith, 2024). Crucially, the influence of sentiment was markedly magnified and more potent during the volatile market regime (Kim & Singh, 2024). This conditional effect confirms that sentiment acts as a powerful multiplier of price instability when the market is under stress. These findings necessitate the institutionalization of social media monitoring by investment practitioners for alpha generation (Taylor & Wirth, 2024) and by regulators for behavior-based surveillance to mitigate flash volatility and systemic risk (Rodriguez, 2025). The research advocates for the adoption of dynamic, regime-switching models in asset pricing and risk management.
The Effect Of Education And Income On Household Consumption Patterns In Kelurahan Seberang Padang Burhanuddin; Azzahra Nikmatul Ilmi; Wulandari Pryangan; Nita Hasnita; Wa Ode Irma Sari
Perspectives on Advanced New Generations of Global and Local Economic Horizons Vol. 1 No. 1 (2025): March, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/panggaleh.v1i1.383

Abstract

This study examines the effect of education and income on household consumption patterns in Kelurahan Seberang Padang, motivated by preliminary findings showing that most households still prioritize basic needs over spending on education, health, and savings. Variations in consumption behavior were also observed, largely influenced by the education level of the household head and monthly income. Using a quantitative approach with survey techniques, the research involved 75 purposively selected respondents. Data were analyzed using multiple linear regression to measure the simultaneous and partial effects of education and income on consumption patterns. The results show that education has a positive and significant influence on consumption allocation (β = 0.28, p < 0.05), while income also significantly affects consumption behavior (β = 0.41, p < 0.01). Together, these variables explain 34% of the variation in household consumption patterns (R² = 0.34). The findings indicate that higher education and income levels encourage households to allocate a greater proportion of expenditure toward quality-of-life needs such as health, education, and savings. In conclusion, education and income play important roles in shaping consumption behavior in the community. The study implies the need for strengthening local programs related to education improvement and financial literacy to foster more balanced, productive, and sustainable household consumption patterns.