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PENGARUH HARGA, VOLATILITAS RETURN, DAN VOLUME TRANSAKSI SAHAM TERHADAP LIKUIDITAS SAHAM Cici Widowati
JBIMA (Jurnal Bisnis dan Manajemen) Vol 1 No 1 (2013): JBIMA (Jurnal Bisnis dan Manajemen)
Publisher : Universitas Peradaban

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Abstract

The focus of this study is to investigate the relationship between stocks’ trading characteristics (stock price, return volatility, and transaction volume) and stock liquidity. This study uses 5 liquidity proxies: relative bid-ask spread, stock turnover, illiquidity ratio, zero return measure, and turnover-adjusted number of zero daily volume. By using the correlation matrix, this study shows that there is a consistent relationship among the liquidity proxy. It means that liquid stock has high stock turnover, low relative bid-ask spread, low illiquidity ratio, low zero return measure, and low turnover-adjusted number of zero daily volume.The analysis in this paper uses 108 sample of listed company in Indonesia Stock Exchange (IDX), which is carried out at the monthly level from January 2006 to the end of December 2010. The samples in this paper are allocated into three groups: small firms, medium firms, and large firms. The regression analysis is estimated to all sample, small firms’ sample, medium firms’ sample, and large firms’ sample.The results indicate that the influence of stock transaction volume on liquidity is always consistent and significantly positive. However, some proxies do react differently to the stock price and return volatility. According to the results of this paper, the influence of stock price on liquidity is always significantly positive since the liquidity proxy is the illiquidity ratio, zero return measure, or turnover-adjusted number of zero daily volume. But, the influence of return volatility on liquidity is always significantly negative since the liquidity proxy is the relative bid-ask spread, or illiquidity ratio. This result also indicates that illiquidity ratio always reacts consistently to the stock price, return volatility, and transaction volume.
Penyesuaian Penyangga Modal dan Risiko Bank-Bank di Indonesia Sebagai Respon Terhadap Potensi Krisis Keuangan di Tengah Kondisi Ketidakpastian Global Cici Widowati
Journal Of Business, Finance, and Economics (JBFE) Vol 5 No 2 (2024): Journal Of Business, Finance, and Economics (JBFE)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jbfe.v5i2.5708

Abstract

This study aims to analyze the impact of capital buffer adjustment and risk adjustment on systemic risk, using a sample of 18 banks in Indonesia, from 2006 to 2020. The results of this study indicate that risk adjustment has a positive effect on systemic risk, and capital buffer adjustment has a negative effect on systemic risk. The results of this study also show that risk adjustments and capital buffer adjustments, in response to a potential financial crisis in the midst of global uncertainty, have different impacts on systemic risk depending on global conditions.
Inovasi Sensor Wearable untuk Monitoring Kesehatan Mental melalui Variabilitas Denyut Jantung Cici Widowati; Kasih Purwantini
Journal of New Trends in Sciences Vol. 2 No. 2 (2024): Mei : Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v2i2.787

Abstract

Mental health has become a major global issue, particularly after the COVID-19 pandemic, which significantly increased the prevalence of psychological disorders. Early detection of stress and other mental health problems remains a major challenge, as traditional methods are generally subjective and unable to provide real-time results. This study aims to design and test a wearable sensor based on Heart Rate Variability (HRV) as a physiological indicator for detecting stress levels. The research employed an experimental approach through the development of a wearable sensor prototype equipped with a stress detection algorithm based on HRV analysis, including both time-domain and frequency-domain parameters. The prototype was tested on 100 respondents with varying stress levels under controlled conditions. Instruments used in this study included the HRV sensor prototype, psychological questionnaires, and standard validation devices. Data were analyzed by comparing the sensor detection results with respondents’ psychological data and calculating prediction accuracy. The findings showed that the wearable sensor was able to predict stress conditions with an accuracy rate of 80%. The distribution of sensor detection results was generally consistent with psychological data, especially in the low-stress category, although slight deviations were observed in moderate and high-stress categories. These results demonstrate that an HRV-based wearable sensor can serve as a practical and non-invasive tool to monitor mental conditions in real time. The implications of this research highlight the potential of wearable technology as an innovative solution for mental health monitoring, both for individual use and as support for healthcare systems. Therefore, this study contributes to the development of adaptive and responsive health technologies in addressing global mental health challenges.