In this book the authors describe their original research on the potential of both standard and high-resolution electroencephalography (EEG) for analyzing brain activity in response to TV advertising. When engineering techniques, neuroscience concepts and marketing stimuli converge in one research field, known as neuromarketing, various theoretical and practical aspects need to be considered. The book introduces and discusses those aspects in detail, while showing several experiments performed by the authors during their attempts to measure both the cognitive activity and emotional involvement of the test subjects. In these experiments, the authors apply simultaneous EEG, galvanic skin response and heart rate monitoring, and show how significant variations of these variables can be associated with attention to, memorization or enjoyment of the presented stimuli. In particular, this book shows the central role of statistical analysis in recovering significant information on the scalp and cortical areas involved, along with variations of activity in the autonomous nervous system. From an economic and marketing perspective, the aim of this work is to promote a better understanding of how mass consumer advertising of (established) brands affects brain systems. From a neuroscience perspective, the broader goal is to provide a better understanding of both the neural mechanisms underlying the impact of affect and cognition on memory, and the neural correlates of choice and decision-making. => Please download the extra material for this book http://extras.springer.com
This concise book for practitioners presents the statistical analysis of operational risk, which is considered the most relevant source of bank risk, after market and credit risk. The book shows that a careful statistical analysis can improve the results of the popular loss distribution approach. The authors identify the risk classes by applying a pooling rule based on statistical tests of goodness-of-fit, use the theory of the mixture of distributions to analyze the loss severities, and apply copula functions for risk class aggregation. Lastly, they assess operational risk data in order to estimate the so-called capital-at-risk that represents the minimum capital requirement that a bank has to hold. The book is primarily intended for quantitative analysts and risk managers, but also appeals to graduate students and researchers interested in bank risks.
Structured Finance: The Object Orientated Approach is aimed at both the finance and IT professionals involved in the structured finance business with the intention of sharing common concepts and language within the industry. The financial community (structurers, pricers and risk managers) view structured products as collections of objects under the so-called replicating portfolio paradigm. The IT community use object oriented programming (OOP) techniques to improve the software updating and maintenance process. For them structured products are collections of objects as well. Despite use of the same object concept, it looks like communication between these different professional functions has been problematic. Recently, construction of standard data structures known as FpML has begun to lay out a common definition of objects, at least for plain vanilla derivatives, both between IT and financial people and across different market players. Along this line, this book builds upon the concept of object to provide frontier treatment of structured finance issues relevant to both communities engaged in building, pricing and hedging products and people engaged in designing and up-dating the corresponding software. Structured Finance: The Object Orientated Approach will enable you to: decompose a structured product in elementary constituent financial objects and risk factors (replicating portfolio) understand the basics of object oriented programming (OOP) applied to the design of structured cash flows objects build your own objects and to understand FpML data structures available for standard products gauge risk exposures of the objects in structured products to: risk factors, their volatilities and the correlation among them (which factor are you long/short? Are you long/short volatility? Are you long/short correlation?) update your risk management system to accommodate structured products with non linear exposures and to design objects to represent, price and hedge, counterparty risk
In this book the authors describe their original research on the potential of both standard and high-resolution electroencephalography (EEG) for analyzing brain activity in response to TV advertising. When engineering techniques, neuroscience concepts and marketing stimuli converge in one research field, known as neuromarketing, various theoretical and practical aspects need to be considered. The book introduces and discusses those aspects in detail, while showing several experiments performed by the authors during their attempts to measure both the cognitive activity and emotional involvement of the test subjects. In these experiments, the authors apply simultaneous EEG, galvanic skin response and heart rate monitoring, and show how significant variations of these variables can be associated with attention to, memorization or enjoyment of the presented stimuli. In particular, this book shows the central role of statistical analysis in recovering significant information on the scalp and cortical areas involved, along with variations of activity in the autonomous nervous system. From an economic and marketing perspective, the aim of this work is to promote a better understanding of how mass consumer advertising of (established) brands affects brain systems. From a neuroscience perspective, the broader goal is to provide a better understanding of both the neural mechanisms underlying the impact of affect and cognition on memory, and the neural correlates of choice and decision-making. => Please download the extra material for this book http://extras.springer.com
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