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Cybersecurity refers to three things: measures to protect information technology; the information it contains, processes, and transmits, and associated physical and virtual elements (which together comprise cyberspace); the degree of protection resulting from application of those measures; and the associated field of professional endeavor. Virtually any element of cyberspace can be at risk, and the degree of interconnection of those elements can make it difficult to determine the extent of the cybersecurity framework that is needed. Identifying the major weaknesses in U.S. cybersecurity is an area of some controversy; the defense against attacks on computer systems and associated infrastructure has appeared to be generally fragmented and varying widely in effectiveness.
This book, based on international standards, provides a one-step reference to all aspects of risk management in an electronic banking environment.
Trata de como prevenir a crise nos bancos, estudando vários casos de bancos que quebraram no mundo.
There is no denying the role of empirical research in finance and the remarkable progress of empirical techniques in this research field. This Special Issue focuses on the broad topic of “Empirical Finance” and includes novel empirical research associated with financial data. One example includes the application of novel empirical techniques, such as machine learning, data mining, wavelet transform, copula analysis, and TV-VAR, to financial data. The Special Issue includes contributions on empirical finance, such as algorithmic trading, market efficiency, market microstructure, portfolio theory and asset allocation, asset pricing models, liquidity risk premium, currency crisis, return predictability, and volatility modeling.
This paper analyzes the predictability of currency crises. The paper evaluates three models for predicting currency crises that were proposed before 1997. Two of the models failed to provide useful forecasts. One model provides forecasts that are somewhat informative though still not reliable. Plausible modifications to this model improve its performance, providing some hope that future models may do better. The study suggests, though, that although forecasting models may help indicate vulnerability to crises, the predictive power of even the best of them may be limited.