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Agent-Based Modeling
This book reconciles the existence of technical trading with the Efficient Market Hypothesis. By analyzing a well-known agent-based model, the Santa Fe Institute Artificial Stock Market (SFI-ASM), it finds that when selective forces are weak, financial evolution cannot guarantee that only the fittest trading rules will survive. Its main contribution lies in the application of standard results from population genetics which have widely been neglected in the agent-based community.
Artificial Economics
An introductory overview of the methods, models and interdisciplinary links of artificial economics. Addresses the differences between the assumptions and methods of artificial economics and those of mainstream economics. This is one of the first books to fully address, in an intuitive and conceptual form, this new way of doing economics.
Disruptive Change and the Capital Markets
The risk-based approach to capital markets regulation is in crisis. Climate change, shifting demographics, geopolitical conflicts and other environmental discontinuities threaten established business models and shorten the life spans of listed companies. The current rules for periodic disclosure in the EU fail to inform market participants adequately. Unlike risks, uncertainties are unquantifiable or may only be quantified at great cost, causing them to be insufficiently reflected in periodic reports. This is unfortunate, given the pivotal role capital markets must play in the economy’s adaptation to environmental discontinuities. It is only with a reformed framework for periodic disclosure, that gradual and orderly adaptation to these discontinuities appears feasible. To ensure orderly market adaptation, a new reporting format is required: scenario analysis should be integrated into the European framework for periodic disclosure.
Asset and Liability Management Handbook
Recent years have shown an increase in development and acceptance of quantitative methods for asset and liability management strategies. This book presents state of the art quantitative decision models for three sectors: pension funds, insurance companies and banks, taking into account new regulations and the industries risks.
Kapitalmarktforschung und Bankmanagement
Der Band zeigt Entwicklungslinien kapitalmarkt- und bankbezogener Forschung auf und präsentiert Einzelbeiträge zu ausgewählten Phänomenen auf Finanzmärkten.
Statistical Analysis of Financial Data
Statistical Analysis of Financial Data covers the use of statistical analysis and the methods of data science to model and analyze financial data. The first chapter is an overview of financial markets, describing the market operations and using exploratory data analysis to illustrate the nature of financial data. The software used to obtain the data for the examples in the first chapter and for all computations and to produce the graphs is R. However discussion of R is deferred to an appendix to the first chapter, where the basics of R, especially those most relevant in financial applications, are presented and illustrated. The appendix also describes how to use R to obtain current financial...
The Paradigm of Social Complexity
With the recent developments in computing technologies and the thriving research scene in Complexity Science, economists and other social scientists have become aware of a more flexible and promising alternative for modelling socioeconomic systems; one that, in contrast with neoclassical economics, advocates for the realism of the assumptions, the importance of context and culture, the heterogeneity of agents (individuals or organizations), and the bounded rationality of individuals who behave and learn in multifaceted ways in uncertain environments. The book synthesizes an extensive body of work in the field of social complexity and constructs a unifying framework that allows developing con...
Benchmarking in der Internen Revision
Vorstand und Aufsichtsorgane stellen hohe Anforderungen an die unternehmensinterne Prüfung. Julia Busch stellt ein Benchmarking-Modell vor, mit dem Sie die Effizienz der Internen Revision individuell für Ihr Unternehmen beurteilen und optimieren können. Ihre Vorteile: - Sie lernen die Rahmenbedingungen für eine erfolgreiche Revision kennen. - Sie können die Arbeit der Revision auf Basis von Leistungsmessung und Kostenkalkulation besser bewerten. - Sie nutzen Synergien zwischen Interner Revision, Risikomanagement und externer Prüfung. Mit zentralen Kennzahlen für das Benchmarking in der Praxis!
