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Business and Management (R0)

Takeaki Kariya

Yoshiro Yamamura

Empirically Effective Government and Corporate Bond Pricing Models

Yield Curves and Default Curves

&lt;p&gt;An Overview over the Content of This Book.- GB Models and Yield Curves in Traditional Finance, Mathematical Finance and K System.- Pricing Government Bonds and Yield Curves via K Models.-&amp;nbsp;Empirical Effectiveness of the KGB Model as JGB and USGB Pricing Models.- Empirical Effectiveness of K0-Yield Curve.- KCB Model and Term Structure of Default Probabilities (TSDP).- Credit Risk Analyses on Japanese CBs and Default Curves.- Credit Risk Analyses on CB Prices in the US Energy Sector.- Credit Risk Analysis on Euro Government Bonds.- Extended KCB Model, Credit Portfolio and CDS Pricing.&lt;/p&gt;


Die deutsche Immobilienwirtschaft ist mit etwa 700.000 Unternehmen, fast vier Millionen Erwerbstätigen, einem etwa zwanzigprozentigen Anteil der gesamten Bruttowertschöpfung sowie etwa 60 Prozent (ca. neun Billionen Euro) an Werten der Vermögensbilanz der deutschen Volkswirtschaft eine der größten und wichtigsten Industrien des Landes. Doch trotz dieser immensen Bedeutung verkauft sich die Immobilienwirtschaft aufgrund ihres Schnittstellencharakters und ihrer Atomisierung oft unter Wert. Vor diesem Hintergrund ist die Idee entstanden, das wirtschaftswissenschaftliche Befassen mit der Immobilienwirtschaft als ein spannendes Unterfangen mit den relevanten Bereichen Management, Ökonomie und Recht umfassend aufzuarbeiten. In der Immobilienwirtschaftslehre stellt die Betriebswirtschaftslehre die Leitdisziplin dar, interdisziplinär eingefasst von der Volkswirtschaftslehre und der Rechtswissenschaft.Der vorliegend Band fokussiert auf das Management und gliedert sich in die Teile Immobilienwirtschaftliche Grundlagen, Führung als klassischer betriebswirtschaftlicher Teil, Lebenszyklus, der die Immobilie von Errichtung bis Betrieb in den Kontext von Raum, Stadt und Umwelt setzt, Strategie im Rahmen des Managements von Immobilien auf verschiedenen Ebenen und aus verschiedenen Perspektiven sowie Transaktion, der auf den Veräußerungsprozess mit den Schwerpunkten der Immobilienbewertung, -investition und -finanzierung abzielt.

Die deutsche Immobilienwirtschaft ist mit etwa 700.000 Unternehmen, fast vier Millionen Erwerbstätigen, einem etwa zwanzigprozentigen Anteil der gesamten Bruttowertschöpfung sowie etwa 60 Prozent (ca. neun Billionen Euro) an Werten der Vermögensbilanz der deutschen Volkswirtschaft eine der größten und wichtigsten Industrien des Landes. Doch trotz dieser immensen Bedeutung verkauft sich die Immobilienwirtschaft aufgrund ihres Schnittstellencharakters und ihrer Atomisierung oft unter Wert. Vor diesem Hintergrund ist die Idee entstanden, das wirtschaftswissenschaftliche Befassen mit der Immobilienwirtschaft als ein spannendes Unterfangen mit den relevanten Bereichen Management, Ökonomie und Recht umfassend aufzuarbeiten. In der Immobilienwirtschaftslehre stellt die Betriebswirtschaftslehre die Leitdisziplin dar, interdisziplinär eingefasst von der Volkswirtschaftslehre und der Rechtswissenschaft.Der vorliegend Band fokussiert auf das Management und gliedert sich in die Teile Immobilienwirtschaftliche Grundlagen, Führung als klassischer betriebswirtschaftlicher Teil, Lebenszyklus, der die Immobilie von Errichtung bis Betrieb in den Kontext von Raum, Stadt und Umwelt setzt, Strategie im Rahmen des Managements von Immobilien auf verschiedenen Ebenen und aus verschiedenen Perspektiven sowie Transaktion, der auf den Veräußerungsprozess mit den Schwerpunkten der Immobilienbewertung, -investition und -finanzierung abzielt.

Immobilienwirtschaftslehre - Management

A novel framework for how entrepreneurs can use Bayesian reasoning to make decisions. This edited volume introduces and explores the concept of Bayesian entrepreneurship, a novel framework for understanding entrepreneurial decision-making under uncertainty. It brings together contributions from leading scholars to examine how entrepreneurs form beliefs about opportunities, learn through experimentation, and make strategic decisions. The Bayesian approach emphasizes the critical interaction between an entrepreneur’s prior beliefs and their capacity for learning and experimentation to update those beliefs. This dynamic process allows entrepreneurs to formulate and test theories about value creation and capture, attract resources and capabilities, and implement effective entrepreneurial strategies. The volume is organized around four key themes: <ul><li>the foundations and distinguishing features of Bayesian entrepreneurship </li><li>how entrepreneurs form and update prior beliefs in entrepreneurial decision-making</li><li>the role of experimentation and learning in entrepreneurial strategy</li><li>applications to entrepreneurship education and practice</li></ul> Bayesian Entrepreneurship offers both theoretical contributions advancing our understanding of entrepreneurial decision-making and practical insights for entrepreneurs and educators.

A novel framework for how entrepreneurs can use Bayesian reasoning to make decisions. This edited volume introduces and explores the concept of Bayesian entrepreneurship, a novel framework for understanding entrepreneurial decision-making under uncertainty. It brings together contributions from leading scholars to examine how entrepreneurs form beliefs about opportunities, learn through experimentation, and make strategic decisions. The Bayesian approach emphasizes the critical interaction between an entrepreneur’s prior beliefs and their capacity for learning and experimentation to update those beliefs. This dynamic process allows entrepreneurs to formulate and test theories about value creation and capture, attract resources and capabilities, and implement effective entrepreneurial strategies. The volume is organized around four key themes: <ul><li>the foundations and distinguishing features of Bayesian entrepreneurship </li><li>how entrepreneurs form and update prior beliefs in entrepreneurial decision-making</li><li>the role of experimentation and learning in entrepreneurial strategy</li><li>applications to entrepreneurship education and practice</li></ul> Bayesian Entrepreneurship offers both theoretical contributions advancing our understanding of entrepreneurial decision-making and practical insights for entrepreneurs and educators.

Bayesian Entrepreneurship

Dieses Werk zeigt professionelle Wege auf, wie selbst mit kleinsten Projekten – in traditionellen oder digitalen Welten – viel erreicht werden kann und wie aus ersten Schritten im weiteren Verlauf eine erfolgreiche Gründung bzw. ein wirtschaftlich profitables Start-up hervorgehen kann. Das Buch stellt innovative Möglichkeiten des sozialen Engagements vor und zeigt, wie man Erfolg hat, indem man sich in kluger Weise einbringt. Das Buch bietet vielfältigen Rat, Erfolgsgeschichten und Porträts von Menschen, die durch ihre Initiativen wirklich etwas bewirken konnten.
 
 “Gründet Euch!” knüpft authentisch an den aktuellen Zeitgeist des “Sich-engagieren-Wollens” an und bietet fachkundige Unterstützung, um auf professionellem Wege etwas zu bewirken, durch Blogs, Apps, lokale Initiativen und/oder ein Start-up u.v.m.&nbsp;

Dieses Werk zeigt professionelle Wege auf, wie selbst mit kleinsten Projekten – in traditionellen oder digitalen Welten – viel erreicht werden kann und wie aus ersten Schritten im weiteren Verlauf eine erfolgreiche Gründung bzw. ein wirtschaftlich profitables Start-up hervorgehen kann. Das Buch stellt innovative Möglichkeiten des sozialen Engagements vor und zeigt, wie man Erfolg hat, indem man sich in kluger Weise einbringt. Das Buch bietet vielfältigen Rat, Erfolgsgeschichten und Porträts von Menschen, die durch ihre Initiativen wirklich etwas bewirken konnten.
 
 “Gründet Euch!” knüpft authentisch an den aktuellen Zeitgeist des “Sich-engagieren-Wollens” an und bietet fachkundige Unterstützung, um auf professionellem Wege etwas zu bewirken, durch Blogs, Apps, lokale Initiativen und/oder ein Start-up u.v.m.

Vom ersten Engagement zum erfolgreichen Social Business (AT)

Gründet Euch!

Dieses Lehrbuch stellt die wesentlichen Methoden und Anwendungsgebiete der Künstlichen Intelligenz und der Analyse großer Datenmengen bei Finanzintermediären und Industrieunternehmen im Bereich der Finanzwirtschaft dar. Es&nbsp;vermittelt die Grundlagen und fortgeschrittene Methoden der KI und ihrer Anwendungen in der Finanzwirtschaft und&nbsp;unterstützt bei der Vorbereitung auf das Berufsleben im quantitativen Asset- und Risikomanagement. Das Buch kann begleitend zu universitären Lehrveranstaltungen im Bereich Financial Data Analytics, Risiko- und Investmentmanagement benutzt werden.

Daten, Methoden und Anwendungen

Künstliche Intelligenz in der Finanzwirtschaft

Amazon’s Ruthless Quest to Own the World and Remake Corporate Power

The Everything War

Raised in a Yorkshire coal-mining town, Jeremy Grantham's iconoclastic investment career was launched into the stratosphere by a few simple ideas: buy cheap, watch for bubbles, and stick to your guns when you know you're right. Grantham created one of the first index funds in the 1970s, pioneered quantitative investment in the 1980s, and embraced emerging markets before other firms saw their potential. He became famous when he accurately predicted and sidestepped a series of bubbles, and his firm skyrocketed to a peak of $155 billion in assets under management. But as his wealth grew, so did his concerns about the deficiencies of capitalism and the unfolding climate crisis. He decided - at the top of his game - to donate nearly all his wealth to environmental protection. With wit that's as cutting against himself as his critics, Grantham reveals how hunting for bargains requires understanding the inefficiencies of the market and the human behaviour that drives it. Ultimately, Grantham offers a deeply human, often heretical and quietly profound lens on investing today.

As seen on Steven Bartlett's THE DIARY OF A CEO

The Making of a Permabear

World Scientific Lecture Notes In Economics And Policy

This book attempts to understand the operation and properties of 'market economies'. We do this by carefully examining, refining and in some cases extending the major theorems that Microeconomics has established in response to the Walrasian conjecture. We critically evaluate theorems and results, that assert the existence, uniqueness, stability, optimality and empirical relevance of Walrasian equilibrium states. As a result of our work, we attempt to comment on the wisdom of recommending that socio-economic systems operate as a collection of deregulated competitive markets.

Lectures In General Equilibrium Microeconomics

Landmark Cases

This book presents the landmark cases in company law which have shaped and defined the field and is written by leading experts in the field.

Part of the market-leading Landmark Cases series, this book brings together leading experts in company law to analyse the the landmark cases in company law which have shaped and defined the field. Drawing on a range of diverse methods and a multi-disciplinary orientation, the book explains the past, present, and future of company law as well as its shape, structure, and trajectory. Company law is now understood to be a creature of statute law. The Companies Act of 2006 is a monumental piece of legislative work. Cases, however, played a central role in creating, establishing, and influencing legal ideas that were later enshrined within pieces of legislation. To identify the landmark cases in company law, the book develops an original, democratic, and objective method. It undertakes a citation analysis of cases used by 5 leading English company law textbooks. Highly cited cases are widely understood to be central to the company law curriculum. Once these cases have been identified, they are examined by leading scholars in company law. The analysis that follows sheds some much needed light on how, why, and when historic rules came into being. This contextual analysis is missing from the original law reports as well as the legislation that we see in operation today. It follows that these novel accounts of the roots of company law push beyond a simplistic narration of the case and proffer a new explanation for why legal rules took the shape that they did. Other archaeological studies also provide a fresh account of the case. Such an excavation informs the reader about legal advisors or the parties in the suit to explain why the litigation arose in this particular way, manner, or form.

Landmark Cases in Company Law

Learn to build robust, scalable financial models to position yourself as an expert in computational finance. At a time when the financial industry demands an increasingly complex and accurate mode, this book ensures you stay ahead of the curve by leveraging the latest advancements in programming to develop faster, more reliable, and maintainable financial software.
To begin, you’ll explore key features of C++23, object-oriented programming, and template-based design patterns critical for building reusable financial components. From there, dive into a range of numerical methods, including Monte Carlo simulations, binomial and trinomial trees, and finite difference schemes. Special attention is given to practical implementation details. Every chapter is designed to guide you step by step in transforming mathematical models into efficient, production-level C++ code. You will also learn to handle exotic derivatives, stochastic volatility, and jump-diffusion models, bridging the gap between theory and practice.
In the end, you’ll be equipped with the technical foundation and practical tools needed to design, implement, and analyze complex financial products. You will also be well-prepared to tackle the advanced interest rate and credit derivatives covered in further depth in De La Rosa’s Advanced Quantitative Finance with Modern C++. 
What You:&nbsp;
<ul>
<li>Master modern C++23 syntax and features, including object-oriented and generic programming.</li>
<li>&nbsp;Design flexible option payoff hierarchies for code reuse.</li>
<li>Apply advanced numerical techniques such as Monte Carlo, binomial/trinomial trees, and finite difference methods.</li>
<li>Calculate and interpret option sensitivities (Greeks).</li>
<li>Model and price exotic options, including stochastic volatility and jump-diffusion models.</li>
<li>Integrate mathematical finance concepts into production-quality C++ code.</li>
</ul>

Learn to build robust, scalable financial models to position yourself as an expert in computational finance. At a time when the financial industry demands an increasingly complex and accurate mode, this book ensures you stay ahead of the curve by leveraging the latest advancements in programming to develop faster, more reliable, and maintainable financial software.To begin, you’ll explore key features of C++23, object-oriented programming, and template-based design patterns critical for building reusable financial components. From there, dive into a range of numerical methods, including Monte Carlo simulations, binomial and trinomial trees, and finite difference schemes. Special attention is given to practical implementation details. Every chapter is designed to guide you step by step in transforming mathematical models into efficient, production-level C++ code. You will also learn to handle exotic derivatives, stochastic volatility, and jump-diffusion models, bridging the gap between theory and practice.In the end, you’ll be equipped with the technical foundation and practical tools needed to design, implement, and analyze complex financial products. You will also be well-prepared to tackle the advanced interest rate and credit derivatives covered in further depth in De La Rosa’s Advanced Quantitative Finance with Modern C++.What You Will Learn:&nbsp;<ul><li>Master modern C++23 syntax and features, including object-oriented and generic programming.</li><li>Design flexible option payoff hierarchies for code reuse.</li><li>Apply advanced numerical techniques such as Monte Carlo, binomial/trinomial trees, and finite difference methods.</li><li>Calculate and interpret option sensitivities (Greeks).</li><li>Model and price exotic options, including stochastic volatility and jump-diffusion models.</li><li>Integrate mathematical finance concepts into production-quality C++ code.</li></ul>Who This Book is for:Quantitative analysts, financial engineers, researchers, and advanced developers who seek to deepen their knowledge of derivative pricing and computational finance using modern C++. Also suited for graduate students in quantitative finance or applied mathematics who want to complement their theoretical studies with robust coding skills.

Foundations, Derivatives, and Computational Methods

Mastering Quantitative Finance with Modern C++

How the financialization of healthcare has eroded the quality of care, driven up prices, and worsened health inequalities Financial actors and healthcare leaders increasingly view healthcare organizations as financial assets to be bought, sold, and managed for maximum profit, regardless of the effects on patient care. Healthcare in the Age of Finance Capital reveals how the federal government enables financial opportunism in healthcare and offers bold ideas for overhauling a failed system. Rosemary Batt and Eileen Appelbaum provide a unique analysis of the financialization of healthcare, a process in which a growing proportion of the healthcare economy is owned and controlled by the financial sector. Healthcare organizations increasingly depend on financial machinations and the earnings derived from them rather than revenue generated from patient care. The extent to which financial calculations overshadow the healthcare mission depends importantly on institutional legacies, reimbursement rules, and the failure of regulatory oversight. Batt and Appelbaum show how differences in regulations and financing rules shape whether financial actors can penetrate distinct healthcare segments—from hospitals, nursing homes, and ambulatory care to physician specialties, home health, hospice, and autism services. Nonprofit healthcare is not immune from this financial logic. Evidence based, accessible, and informed by real-world examples, Healthcare in the Age of Finance Capital sheds critical light on how financial deregulation coupled with the relaxation of health, tax, anti-trust, and labor laws have allowed financially driven actors to exploit public funds for private gain at the expense of healthcare organizations, patients, communities, labor, and taxpayers.

Public Funds for Private Gain

Healthcare in the Age of Finance Capital

The Invention and Exploitation of Corporate Bankruptcy

To Protect Their Interests

Routledge International Studies in Money and Banking

As an integral part of the world financial market, the global asset management industry has played a significant role in almost every critical event and change in the world financial market over the past four decades. Its growth has been facilitated from the financial innovations in products and management technologies from various financial institutions. It is definitely a challenge to comprehend the dynamic linkage between the global asset management industry and the world financial market, institutions and products. This book takes the challenge by providing a systematic and analytical review of the dynamic development of global asset management industry in its market structure, product diversities, risk management technologies and performance. The book aims at offering researchers, investors and financial practitioners a comprehensive introduction on how the dynamic development of global asset management industry has been integrated with the fast changing world financial market, institutions and products. As wealth or asset management is becoming a popular and specialized subject offered in university financial courses, this book may serve as a key textbook for financial courses in universities.

As an integral part of the world financial market, the global asset management industry has played a significant role in almost every critical event and change in the world financial market over the past four decades. Its growth has been facilitated from the financial innovations in products and management technologies from various financial institutions. It is definitely a challenge to comprehend the dynamic linkage between the global asset management industry and the world financial market, institutions and products. This book takes the challenge by providing a systematic and analytical review of the dynamic development of global asset management industry in its market structure, product diversities, risk management technologies and performance. The book aims at offering researchers, investors and financial practitioners a comprehensive introduction on how the dynamic development of global asset management industry has been integrated with the fast changing world financial market, institutions and products. As wealth or asset management is becoming a popular and specialized subject offered in university financial courses, this book may serve as a key textbook for financial courses in universities.

The Dynamic Development of Global Asset Management Industry

Empirically Effective Government and Corporate Bond Pricing Models

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