Cyber-Attacks Measurement for Public Companies: An Empirical Analysis

2020 ◽  
Author(s):  
Rongkai Pei ◽  
Zhuo Jin ◽  
Zhixin Yang
2017 ◽  
Vol 70 ◽  
pp. 422-435 ◽  
Author(s):  
Ángel Manuel Guerrero-Higueras ◽  
Noemí DeCastro-García ◽  
Francisco Javier Rodríguez-Lera ◽  
Vicente Matellán

Author(s):  
К. И. Романов

Late 80s and early 90s of the XX-th century showed great interest to the corporate restructuring deals, especially transformation of public companies into private form. This paper is devoted to theoretical concepts describing performance changes after such deals, as well as empirical research testing these theories. Both theoretical and empirical analysis are based on leveraged buyouts which took place in 80s.


2018 ◽  
Vol 64 (1) ◽  
pp. 78
Author(s):  
Flavio Paulino Ramos Júnior ◽  
Isabela dos Santos ◽  
Luiz Eduardo Gaio ◽  
Nelson Oliveira Stefanelli ◽  
Ivan Carlin Passos

<p>This article aims to identify the determinants of the capital structure of Brazilian companies and compare it with financial theories. In addition, the normality periods (2007, 2009–2014) and financial crisis periods (2008 and 2015) will be considered in the analysis. The sample has 114 Brazilian public companies in the periods from 2007 to 2015. The methodology used for data analysis was multiple regression for panel data. The results showed that there are differences between the determinants of the capital structure in periods of crisis and of normality. Some of the hypotheses tested were accepted. These hypotheses relate financial theory to empirical analysis. Finally, the research contributed by demonstrating the main determinants of the capital structure in the analyzed periods, showing changes between such determinants.</p>


SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110299
Author(s):  
Imran Yousaf ◽  
Shoaib Ali ◽  
Elie Bouri ◽  
Anupam Dutta

We provide an empirical analysis of herding behavior in cryptocurrency markets during COVID-19 and periods of cyber-attacks, differentiating between fundamental and nonfundamental herding. The results show that herding behavior is driven by fundamental information during the full sample period and the cyber-attack days. However, herding is not prevalent during the COVID-19 outbreak, either when reacting to fundamental or nonfundamental information. This finding suggests heterogeneity in the behaviors of participants in the cryptocurrency markets during the COVID-19 period.


2007 ◽  
Vol 23 (4) ◽  
pp. 248-257 ◽  
Author(s):  
Matthias R. Mehl ◽  
Shannon E. Holleran

Abstract. In this article, the authors provide an empirical analysis of the obtrusiveness of and participants' compliance with a relatively new psychological ambulatory assessment method, called the electronically activated recorder or EAR. The EAR is a modified portable audio-recorder that periodically records snippets of ambient sounds from participants' daily environments. In tracking moment-to-moment ambient sounds, the EAR yields an acoustic log of a person's day as it unfolds. As a naturalistic observation sampling method, it provides an observer's account of daily life and is optimized for the assessment of audible aspects of participants' naturally-occurring social behaviors and interactions. Measures of self-reported and behaviorally-assessed EAR obtrusiveness and compliance were analyzed in two samples. After an initial 2-h period of relative obtrusiveness, participants habituated to wearing the EAR and perceived it as fairly unobtrusive both in a short-term (2 days, N = 96) and a longer-term (10-11 days, N = 11) monitoring. Compliance with the method was high both during the short-term and longer-term monitoring. Somewhat reduced compliance was identified over the weekend; this effect appears to be specific to student populations. Important privacy and data confidentiality considerations around the EAR method are discussed.


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