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Narrative Research Study: Market Sentiment As A Trigger For Cryptocurrency Volatility Hidayatullah, Mahdi; Juniar, Asrid
SENTRALISASI Vol. 14 No. 1 (2025): January
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/sl.v14i1.3900

Abstract

This study aims to analyze the impact of market sentiment on cryptocurrency price volatility, focusing on the top 50 cryptocurrencies by market capitalization in 2024. Data was collected from CoinMarketCap for the period 2021-2023, and market sentiment is measured using Natural Language Processing on text data from social media (Twitter, Reddit), forums, and news articles. The analysis employs Structural Equation Modeling - Partial Least Squares to examine the relationship between market sentiment and price volatility. The latent variable "Market Sentiment" is constructed using the NLP indicator, while "Price Volatility" is measured by daily standard deviations and the Average True Range. Additional factors, such as Layer-1, Layer-2, Decentralized Finance, Specialized Computing, Real World Assets, and Decentralized Infrastructure Projects, are also incorporated for a more comprehensive analysis. The results show that positive sentiment significantly increased price volatility, especially for speculative projects like Layer-2 and DeFi, while negative sentiment significantly reduced volatility. Neutral sentiment had no significant effect on price volatility. These findings highlight the important role of social media and news in driving sharp price movements in the cryptocurrency market, providing valuable insights for investors and policymakers in managing and responding to market sentiment.
PENERAPAN TATA KELOLA YANG BAIK DI NEGARA BERKEMBANG STUDI KASUS RWANDA, BRAZIL, DAN BOTSWANA Hidayatullah, Mahdi
Jurnal Inovasi Daerah Vol. 3 No. 2 (2024): JID : Jurnal Inovasi Daerah, Desember 2024
Publisher : Badan Perencanaan Pembangunan Penelitian dan Pengembangan Daerah Kabupaten Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56655/jid.v3i2.297

Abstract

This study aims to evaluate the implementation of good governance in developing countries through the Systematic Literature Review (SLR) approach. Good governance, which includes transparency, accountability, community participation, and political stability, is a key element in creating effective and competitive governance. The results of the review show that the implementation of good governance in developing countries still faces various challenges, such as weak law enforcement, high levels of corruption, and lack of technological infrastructure and community participation. However, several countries, such as Rwanda, Brazil, and Botswana, have shown success in implementing innovative governance reforms through the use of digital technology and e-governance, fiscal decentralization, and the strengthening of anti-corruption institutions. This research also highlights the importance of political stability in supporting the implementation of effective governance. Countries with high political stability tend to be more successful in implementing governance reforms than countries with political instability. This study provides recommendations to strengthen governance in developing countries through increased transparency, accountability, and use of technology, as well as strengthening supervisory institutions and public participation. In addition, a strong political commitment is needed to ensure the sustainability of governance reforms in these countries.