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Social and Behavioral Sciences Commons

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Full-Text Articles in Social and Behavioral Sciences

Proactive Biometric-Enabled Forensic Imprinting, Abdulrahman Alruban, Nathan L. Clarke, Fudong Li, Steven M. Furnell Jan 2016

Proactive Biometric-Enabled Forensic Imprinting, Abdulrahman Alruban, Nathan L. Clarke, Fudong Li, Steven M. Furnell

Research outputs 2014 to 2021

Threats to enterprises have become widespread in the last decade. A major source of such threats originates from insiders who have legitimate access to the organization's internal systems and databases. Therefore, preventing or responding to such incidents has become a challenging task. Digital forensics has grown into a de-facto standard in the examination of electronic evidence; however, a key barrier is often being able to associate an individual to the stolen data. Stolen credentials and the Trojan defense are two commonly cited arguments used. This paper proposes a model that can more inextricably links the use of information (e.g. images, …


Malaysian Equities: A Sector Analysis Of Risk And Normality, Robert J. Powell Jan 2015

Malaysian Equities: A Sector Analysis Of Risk And Normality, Robert J. Powell

Research outputs 2014 to 2021

This study uses Value at Risk (VaR) and Conditional Value at Risk (CVaR) metrics to measure the relative riskiness of sectors for Malaysian equities. VaR is a widely used volatility measure, but only measures risk below a specified threshold, whereas CVaR looks at risk beyond that threshold. The study finds that the relative risk of sectors changes with changing economic circumstances as measured by VaR, but remains significantly the same as measured by CVaR. Parametric (normally distributed) measures of VaR are compared to nonparametric measures, and it is found, consistently across all sectors, that parametric measures are not suitable measures …


Examining Ipo Success In The Emerging Growth Enterprise Market Of China, Hai Long, Zhaoyong Zhang Jan 2014

Examining Ipo Success In The Emerging Growth Enterprise Market Of China, Hai Long, Zhaoyong Zhang

Research outputs 2014 to 2021

Adopting a sample of the initial 243 IPOs from the emerging Growth Enterprise Market of China (GEMC) over the 2009 to 2011 period, this study develops a regression model to investigate the relationships between these factors and suggests that the firm’s net profit and its growth rate substantively determine the IPO volume. In addition, this study adopts probit models to test the influence of the four factors on IPO likelihood, and shows that: 1) fundraising amount, as one of the most significant IPO determinants, is positively associated with IPO probability on the new listing market; 2) the net profit, as …


Listing Requirements Lose Ipo-Screening Functions: Evidence From The Emerging Growth Enterprise Market Of China, Hai Long, Zhaoyong Zhang Jan 2014

Listing Requirements Lose Ipo-Screening Functions: Evidence From The Emerging Growth Enterprise Market Of China, Hai Long, Zhaoyong Zhang

Research outputs 2014 to 2021

Using two multivariate regression models based on prior studies, this paper aims to examine whether the listing requirements of the GEMC are able to help the exchange to screen high quality IPO firms. It suggests that the approved IPO companies have better performances than failed ones, but listing requirements of the GEMC are unable to screen high quality issuers to go public, because the majority of listed companies performed poorly rather than better after their IPOs. This result is against previous findings that regard an IPO market as a screening device.