<div class="raw-html-embed"><a href="https://libratech.ai/ch/?utm_source=partner&amp;utm_medium=website&amp;utm_campaign=wkch_libra_prsp_staempfli_07_2026
">Stämpfli Fachinhalte - jetzt im rechtssicheren Libra All-In-One AI Workspace verfügbar - Jetzt kostenlos testen!</a></div>

Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Aboverträge Kündigen

Résiliation d’abonnement

Vertrag widerrufen

Résiliation de contrat 

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

Libra

Was ist Libra?

C'est quoi Libra ?

Kostenlos testen

Tester gratuitement

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Aktienrecht

Droit des sociétés anonymes

Publikationen

Publications

Literatur

Digitales Angebot

Bücher

Livres

Buchreihen

Collections

Onlinemodule LEXIA

Modules en ligne LEXIA

recht.ch

Studienliteratur

Littérature pour les études

Dienstleistungen

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Quill A: Stochastic Foundations for
Quantitative Finance

Stochastic Foundations for Quantitative Finance

Probability, Statistics, and Practical Modeling

This revised and updated third edition of the bestselling guide to understanding football club finance includes analysis of the most recent club accounts, the latest legal rulings on club affairs, and coverage of recent club sales, bankruptcies and accounting irregularities.

This revised and updated third edition of the bestselling guide to understanding football club finance includes analysis of the most recent club accounts, the latest legal rulings on club affairs, and coverage of recent club sales, bankruptcies and accounting irregularities.

Understanding Football Club Finance

The Price of Football

Renowned economist Josh Ryan-Collins provides the ideal pedagogical resource for anyone concerned with the major role central banks play in shaping all of our economic opportunities and daily lives. This book provides a concise, authoritative overview of the history and stated purpose of central banks. With critiques of principles and actions that have emerged since the 2008 crash, Ryan-Collins's own and others' proposals offer a solution of how to reform them. In a clear, easy-to-follow structure, it offers historical-normative descriptions of the evolution and role of central banks alongside "myth-busting" chapters explaining the salient critiques of, and proposed alternatives to, principles at the heart of central-bank thinking. Along the way, it covers the major issues preoccupying critical central banking studies and political economics today, including housing inequalities, climate change, digital currencies, and the potential impact of artificial intelligence.

Rethinking Central Banking and Macrofinancial Policy for the Age of Polycrisis

The Gods that Failed

Financial Statement Analysis and Security Valuation ISE

This book focuses on the development of an anti-fraud model designed to detect both individual and group fraud in the internet finance sector. It further proposes a comprehensive risk control system tailored for online credit platforms, aiming to enhance the industry's overall risk management capabilities. Centered around two core themes: credit scoring and fraud detection, the book utilizes advanced algorithms including machine learning, deep learning, and graphical models to study patterns of financial fraud online.

Unlike traditional research that mainly depends on financial and operational data, which is often delayed or manipulated, this monograph leverages abundant, real-time user evaluation data from internet finance platforms. By constructing a specialized Internet finance dictionary, it identifies key evaluation themes and emotional trends, laying the foundation for a platform public opinion monitoring and early warning system to enable timely detection of high-risk platforms.

Each internet finance platform is treated as a research node, contributing to the creation of an interconnected internet finance platform network. Through network analysis, complex network theory, and public opinion text mining, the book develops both correlation and measurement models. These models explore how information dissemination influences investment and lending behaviors, investigate the relationship between cross-platform information propagation and platform risk, and analyze the dynamics of risk contagion across platforms.

Finally, the book proposes actionable risk mitigation strategies to address the cumulative risks observed in the industry. It offers practical insights and policy guidance for regulators and stakeholders seeking to prevent and resolve Internet financial risks.

Fraud Detection And Risk Management In Internet Finance

Adaptive Trading Agents

A Comprehensive Guide: Reinforcement Learning Systems for Dynamic Financial Markets with Python

We vow for richer for poorer. We sacrifice for our children, we give back to our parents. Because in true love and family matters, money's irrelevant and it would be terrible to suggest otherwise. Right?

We vow for richer for poorer. We sacrifice for our children, we give back to our parents. Because in true love and family matters, money's irrelevant and it would be terrible to suggest otherwise. Right?

The Modern Money Questions That Could Save Your Relationships

Yours or Mine?

Wiley Finance

The complete and practical guide to one of the hottest topics in quantitative finance Deep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analysts. Deep Learning in Quantitative Finance provides a comprehensive treatment of deep learning and describes a wide range of applications in mainstream quantitative finance. Inside, you'll find over ten chapters which apply deep learning to multiple use cases across quantitative finance. You'll also gain access to a companion site containing a set of Jupyter notebooks, developed by the author, that use Python to illustrate the examples in the text. Readers will be able to work through these examples directly. This book is a complete resource on how deep learning is used in quantitative finance applications. It introduces the basics of neural networks, including feedforward networks, optimization, and training, before proceeding to cover more advanced topics. You'll also learn about the most important software frameworks. The book then proceeds to cover the very latest deep learning research in quantitative finance, including approximating derivative values, volatility models, credit curve mapping, generating realistic market data, and hedging. The book concludes with a look at the potential for quantum deep learning and the broader implications deep learning has for quantitative finance and quantitative analysts. <ul> <li>Covers the basics of deep learning and neural networks, including feedforward networks, optimization and training, and regularization techniques</li> <li>Offers an understanding of more advanced topics like CNNs, RNNs, autoencoders, generative models including GANs and VAEs, and deep reinforcement learning</li> <li>Demonstrates deep learning application in quantitative finance through case studies and hands-on applications via the companion website</li> <li>Introduces the most important software frameworks for applying deep learning within finance</li></ul> This book is perfect for anyone engaged with quantitative finance who wants to get involved in a subject that is clearly going to be hugely influential for the future of finance.

Deep Learning in Quantitative Finance

The Wiley Finance Series

A Practical Guide with Examples Worked in Python and R

Machine Learning and Artificial Intelligence for Credit Risk Analytics

The comprehensively updated new edition of a bestselling textbook that covers fundamental features of bonds, analytical techniques, and portfolio strategies. Now in its 11th edition, this bestselling textbook illuminates the complexities and dynamics of the bond markets, integrating rigorous technical content with real-world case studies to effectively bridge theory and application. Advances in technology and data availability have fundamentally transformed how fixed-income securities are valued, traded, and managed. This fully updated new edition addresses the growing demand for tools and techniques that support sophisticated decision-making in increasingly complex markets by incorporating the latest analytical frameworks and computational methods with a solid grounding in core principles. Designed for a broad audience, it gives students the fundamental knowledge they need to excel in portfolio management, trading, and risk analysis roles while equipping experienced practitioners with more profound insights into advanced strategies and contemporary challenges. New edition highlights: <ul><li>New chapters on analytical tools, bond trading mechanics, strategies, and backtesting</li><li>Cutting-edge topics include machine learning, NLP, and trading mechanics</li><li>Expanded coverage of corporate bond credit models, return attribution models, and the latest models analyzing convertible bonds</li><li>Extensive new appendices feature case studies from diverse practitioners</li><li>Pragmatic modular structuring adapts to diverse course designs</li><li>End-of-chapter internet questions, slides, and solutions</li></ul>

The comprehensively updated new edition of a bestselling textbook that covers fundamental features of bonds, analytical techniques, and portfolio strategies. Now in its 11th edition, this bestselling textbook illuminates the complexities and dynamics of the bond markets, integrating rigorous technical content with real-world case studies to effectively bridge theory and application. Advances in technology and data availability have fundamentally transformed how fixed-income securities are valued, traded, and managed. This fully updated new edition addresses the growing demand for tools and techniques that support sophisticated decision-making in increasingly complex markets by incorporating the latest analytical frameworks and computational methods with a solid grounding in core principles. Designed for a broad audience, it gives students the fundamental knowledge they need to excel in portfolio management, trading, and risk analysis roles while equipping experienced practitioners with more profound insights into advanced strategies and contemporary challenges. New edition highlights: <ul><li>New chapters on analytical tools, bond trading mechanics, strategies, and backtesting</li><li>Cutting-edge topics include machine learning, NLP, and trading mechanics</li><li>Expanded coverage of corporate bond credit models, return attribution models, and the latest models analyzing convertible bonds</li><li>Extensive new appendices feature case studies from diverse practitioners</li><li>Pragmatic modular structuring adapts to diverse course designs</li><li>End-of-chapter internet questions, slides, and solutions</li></ul>

Bond Markets, Analysis, and Strategies, eleventh edition

Wiley Trading

PRAISE FOR Quantitative Trading 2ND EDITION "Ernie's timely update to his classic Quantitative Trading is extraordinary in that, despite the modernization of the content, all the fundamentals remain unchanged and have clearly stood the test of time since the first edition. If you want to be a competitive swimmer, you need to learn the fundamentals of swimming first. Trading is no different; Ernie makes the fundamentals as simple as possible, but no simpler (as Einstein would say) and strikes the perfect balance between intuition and technical depth. Those specifically interested in trading, and anyone generally interested in understanding how modern financial markets work, will benefit from reading the Second Edition of Quantitative Trading." -CRAIG BETTS, mathematician and Founder, Solace "As technology has evolved, so has the ease in developing trading strategies. Ernest Chan does all traders, current and prospective, a real service by succinctly outlining the tremendous benefits, but also some of the pitfalls, in utilizing many of the recently implemented quantitative trading techniques." -PETER BORISH, Chairman and CEO, Computer Trading Corporation; Founding Partner, Tudor Investment Corporation "Out of the many books and articles on quantitative trading that I've read over the years, very few have been of much use at all. In most instances, the authors have no real knowledge of the subject matter or do have something important to say but are unwilling to do so because of fears of having trade secrets stolen. Ernie subscribes to a different credo: Share meaningful information and have meaningful interactions with the quantitative community at large. Ernie successfully distills a large amount of detailed and difficult subject matter down to a very clear and comprehensive resource for novice and pro alike." -STEVE HALPERN, Founder, HCC Capital, LLC "Often the hardest part of getting started is simply knowing what questions to ask. This holds especially true for fields like quantitative trading, which are shrouded in mystery and protected by impenetrable jargon. Readers of this book will not only learn the foundations of research and strategy development, but also gain pragmatic insight into the operational sides of the business. Ernie has written the ideal guide for those looking to go from zero-to-one in their quantitative trading journey." -COREY HOFFSTEIN, Co-founder and CIO, Newfound Research

How to Build Your Own Algorithmic Trading Business, Revised Edition

Quantitative Trading

Neue ökonomische Grundrisse

The second edition of this instructive and thought-provoking guide to the theory and practice of corporate financial decision making has been completely revised and up-dated. In particular, the many and varied changes to financial and capital markets have been worked into the application-orientated chapters together with additional diagrams and tables. The book's chapters on theoretical models have been enhanced with further examples, each ending with a practical exercise the solution to which will be made available online.
 

 Different conditions apply to libraries for this title; please contact the sales department.

Unternehmensfinanzierung und Kapitalmarkt

Stochastic Foundations for Quantitative Finance

Weitere Titel zum Thema