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"Finance is the study of value and how it is determined. Individuals, small businesses and corporations regularly make use of value determinations for making strategic decisions that affect the future outcomes of their endeavors. The importance of accurate valuations cannot be overestimated;...
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Cover -- Half Title -- Title -- Copyright -- Contents -- List of Figures -- List of Tables -- 1 The Fundamental Principles of Finance -- The Three Fundamental Principles of Finance -- The Three Precepts -- Differentiating Between the Principles and the Precepts -- Making Use of the Principles...
Persistent link: https://www.econbiz.de/10012113160
Many students want an introduction to finance. Those who are quantitatively-oriented learners can benefit in particular from an introduction that puts more emphasis on mathematics and graphical presentations than on verbal descriptions. By illustrating core finance facts and concepts through...
Persistent link: https://www.econbiz.de/10011680426
Introduction to R programming -- Statistics in finance -- Statistical analysis with R -- Time series analysis with R -- Basic theory of finance -- Modern portfolio theory and CAPM -- Interest rate swap and discount factor -- Discrete time model: tree model -- Continuous time model and the...
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" Continuous-Time Models in Corporate Finance synthesizes four decades of research to show how stochastic calculus can be used in corporate finance. Combining mathematical rigor with economic intuition, Santiago Moreno-Bromberg and Jean-Charles Rochet analyze corporate decisions such as dividend...
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This impressive Handbook presents the quantitative techniques that are commonly employed in empirical finance research together with real-world, state-of-the-art research examples. Written by international experts in their field, the unique approach describes a question or issue in finance and...
Persistent link: https://www.econbiz.de/10011851225
Introduction to modelling, core themes and best practices -- Models of models -- Using models in decision support -- Core competencies and best practices : meta-themes -- Model design and planning -- Defining sensitivity and flexibility requirements -- Database versus formulae-driven approaches...
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