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The number of threats to cloud-based systems increases and likewise does the demand for effective approaches to assess and improve security of such systems. The loss, manipulation, disclosure, or simply the unavailability of information may lead to expenses, missed profits, or even legal...
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Cryptocurrency markets have experienced large growth in recent years, with an increase in the number and diversity of traded assets. Previous work has addressed the economic properties of Bitcoin with regards to its hedging or diversification properties. However, the surge of many alternatives,...
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PART 1. INTRODUCTION AND ANALYTICS MODELS -- Retraining and Reskilling Financial Participators in the Digital Age -- Basics of Financial Data Analytics -- Predictive Analytics Techniques: Theory and Applications in Finance -- Prescriptive Analytics Techniques: Theory and Applications in Finance...
Persistent link: https://www.econbiz.de/10013188202
Purpose: This paper aims to design an evaluation method that enables an organization to assess its current IT landscape and provide readiness assessment prior to Software as a Service (SaaS) adoption.Design/methodology/approach: The research employs a mixed of quantitative and qualitative...
Persistent link: https://www.econbiz.de/10011900538
This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data...
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We employ the expected signature of equity and foreign exchange markets to derive an optimal double-execution trading strategy. The signature of a path of a stochastic process is a sequence of real numbers that provides a full description of the evolution of the process. The double-execution...
Persistent link: https://www.econbiz.de/10012838568
On-line portfolio selection is an important and challenging question in computational finance and attracts increasing attention in the machine learning and data mining fields. Previously an on-line portfolio selection strategy called On-Line Moving Average Reversion (OLMAR) (Li et al., 2012)...
Persistent link: https://www.econbiz.de/10012890807