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Produkt vom BFSG ausgenommen: Hersteller ist Kleinstunternehmen

George S. Clason

The Richest Man in Babylon

Financial Forecasting

Dynamic Modeling and Econometrics in Economics and Finance

Nonlinear models have become indispensable in modern finance and economics, yet their reliance on numerical root-finding methods introduces layers of complexity that demand rigorous attention. This second volume of the two-part series offers a comprehensive and accessible guide to tackling these challenges and applying advanced econometric techniques to real-world financial and economic time series data.
Designed for students, professionals, and researchers with a solid foundation in statistics, econometrics, and finance, this book bridges the gap between theory and practice. Concepts are introduced progressively, making it suitable for both intermediate and advanced readers. Each chapter is written in clear, approachable language, ensuring that even those with limited prior experience can grasp and apply the material effectively.
Key Topics Include:
<ul>
<li>Fundamentals of Non-Linear Dynamics</li>
<li>Endogeneity in Econometric Models</li>
<li>Asymmetric Pricing</li>
<li>Physics-Inspired Gravity Models in Economics</li>
<li>Artificial Intelligence and Machine Learning for Fraud Analytics</li>
</ul>
With practical examples, source code, and interdisciplinary insights, this volume empowers readers to navigate the complexities of nonlinear econometric modeling and apply cutting-edge techniques to contemporary challenges in finance and trade.

Empirical Applications and Source Code

Non-Linearity in Econometric Modeling, Vol. 2

Your Path for Personal Success - Excellence Beyond Ambitions is a reflective, practical guide and workbook to gather inspirations and reflections for those who want to move beyond conventional definitions of success and develop personal excellence through self-awareness, alignment, and conscious choice. It invites readers to question the status quo, understand themselves more deeply, and grow in a way that is authentic, sustainable, and meaningful.

Excellence Beyond Ambition

YOUR PATH FOR PERSONAL SUCCESS

Advanced Studies in Theoretical and Applied Econometrics

This compendium collects advances and reflections on the teaching of econometrics from internationally well-known econometricians, including a number of accomplished textbook writers. The subjects range from reflections on many decades of teaching econometrics to studies of the instruction of specific examples and methods. It is aimed at teachers and students of econometrics at all levels.

A Tribute to R. Carter Hill

Teaching Econometrics

Essential Knowledge to Tackle Everyday Challenges

They Don’t Teach This at School

Ann-Marie Powell guides you through the seasons and shares the very best plants to bring colour into your garden every month. Choose from a whole host of ready-made planting combinations and ideas.

How to create a bold and bright garden

A Year of Colour

Lecture Notes in Economics and Mathematical Systems

This textbook provides a comprehensive foundation for developing asset-pricing models with heterogeneous investors. Volume I in a two-volume set, this book covers topics such as stochastic calculus, dynamic programming, representative agent models, and a numerical method (finite difference) for solving them. The book takes a step-by-step approach, carefully show the underlying object of the models and the implementation of the finite difference method and Upwind scheme to solve dynamic programming problems in asset pricing. Where appropriate, chapters include MATLAB code for ease of replication. This book will be of interest to advanced undergraduate and graduate students of finance, economics, mathematics, and statistics.

Foundations

Heterogeneous Agents in Asset Pricing, Vol 1

A comprehensive look at causality’s theoretical and practical aspects in economics and finance. In Causal Modeling for Finance and Business, Frank Fabozzi and Sergio Focardi offer a foundation for understanding causal relationships and their importance in complex systems. Topics include the theory of graphs, probabilistic frameworks, structural causal models, algorithms for learning causal structures, and the empirical testing of these models. The book emphasizes applying and deploying causal models in real-world business and investment scenarios. However, it also offers a novel theoretical perspective on causal modeling. Fabozzi and Focardi argue that causation is not a law of nature, but a characteristic of causal systems. If we accept the modern idea of causation as manipulability, causal systems are characterized by causal relationships as well as purely descriptive functional relationships. With these arguments in mind, the book addresses a critical gap in understanding and applying causal reasoning in complex systems. While correlations have often been relied upon in data analysis, decision-making in business and economics demands a deeper understanding of causation and functional relationships to drive actionable outcomes. The book’s objective is to provide a comprehensive resource that bridges foundational theories and practical applications of causal models. By integrating recent advancements in artificial intelligence, probabilistic logic, and graph theory, the authors offer a robust framework for researchers, practitioners, and decision-makers to harness the power of causality in solving intricate problems.

Foundations, Frameworks, and Applications

Causal Modeling for Finance and Business

12 Simple Strategies That Make Dream Clients Say Yes

Storybrand Your Coaching Business

Contributions to Management Science

This book leverages statistical analysis, data mining, and machine learning techniques to address managerial and socioeconomic problems. With the advent of modern technologies, massive amount of data, especially big data, proliferate from business transactions and users. Consequently, there is an ever-increasing demand for analyzing the data and gaining valuable insights. This book comprises 15 chapters: the first ten chapters cover methods from Statistics and Econometrics, while the next five chapters delve into selected Machine Learning techniques. By bringing together the expertise of eminent researchers from reputed universities worldwide, this volume provides a cohesive guide to understanding and applying data science methodologies to real-world problems.

The book assumes basic knowledge of probability and statistics. Each chapter presents a blend of theoretical insights and practical case studies, ensuring that readers not only learn the techniques but also see their relevance and implementation in real-world scenarios. The chapters not only cover the theoretical underpinnings in a student-friendly language but also provide step-by-step guides for implementation using various software tools such as R, Python, Matlab, and SPSS. This is to instill confidence in the reader to apply such techniques to real-life problems. The book is designed for a broad spectrum of readership - empirical economists, business analysts, and post-graduate students aiming to learn and practice data science. Moreover, the book is designed in such a way that it can be used as a practical reference book for one semester-long Data Science course.

Concepts, Techniques, and Applications

Data Science for Modeling Managerial and Socioeconomic Problems

SpringerBriefs in Economics

This book offers a regression-based analysis of corporate profitability in the United States over the period 1950 to 2024. Drawing on detailed analysis of 71 leading corporations across 11 key industries-from petroleum and natural gas to high-tech and government contracting-this book reveals a striking pattern: operating-profit markups have remained both high and remarkably stable over the past seven decades.
Using a clear and accessible regression-based methodology, the author demonstrates how corporations have consistently maintained their ability to pass through costs, challenging common assumptions about volatility in profit margins.
Written by a seasoned expert for professionals in&nbsp;corporate accounting, corporate law, finance, taxation, and&nbsp;economic policy, this book provides:
A robust empirical framework for analyzing long-term profitability

Industry-specific insights into pricing power and cost pass-through

A valuable resource for understanding corporate behavior across economic cycles






Whether you're advising clients, shaping policy, or conducting research, this book offers essential insights into the enduring dynamics of corporate profitability.

Operating Profit Markups in Leading U.S. Firms

U.S. Corporate Profits, 1950–2024

Career Comedown

The Richest Man in Babylon

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