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Venture N: Options and Derivatives
Mastery

Options and Derivatives Mastery

Crafting Strategies for Market Dominance

Economics and Finance (R0)

Marc Henrard

Foundations, Evolution, Transition, and Implementation

Interest Rate Modelling in the Multi-Curve Framework

Studienarbeit aus dem Jahr 2024 im Fachbereich BWL - Investition und Finanzierung, Note: 2,0, FernUniversität Hagen (Lehrstuhl für Betriebswirtschaftslehre, insbesondere Bank- und Finanzwirtschaft), Veranstaltung: Financial Engineering, Sprache: Deutsch, Abstract: Die Arbeit befasst sich mit Bonus-Zertifikaten, die mit einem Markvolumen von etwa 1,3 Milliarden Euro im Bereich der strukturierten Wertpapiere vertreten sind. Für Bonus-Zertifikate gibt es keine allgemeinen Bewertungsformeln, da diese häufig aus einem Zero-Strike-Call und einer Down-and-out-Put-Option gebildet werden. Demnach reicht es aus, diese einzelnen Elemente zu bewerten, um den Gesamtwert zu erhalten. Aus diesem Grund werden die Barrier-Optionen, welche unabdingbar für die Bewertung von Bonus-Zertifikaten sind, dargestellt, um anschließend  unter anderem anhand des Black-Scholes-Modells und der Monte-Carlo-Simulation die Bewertung eines fiktiven Bonus-Zertifikats vorzunehmen.

Ziel dieser Arbeit ist es demnach, das Finanzprodukt "Bonus-Zertifikat" und dessen Bewertung zu beschreiben und anhand einer Sensitivitätsanalyse zu erklären.

Florian Betz

Bewertung von Bonus-Zertifikaten. Monte-Carlo Simulation und Reiner-Rubinstein-Formeln

The Everyman's Finance Series

Wall Street treats volatility as a mathematical fortress, but it is actually the most honest signal in the market. This book is for the active trader tired of directional guessing and ready to trade fear itself. Whether you want to hedge a portfolio against a crash or harvest premiums in calm waters, this guide bridges the vast gap between basic stock picking and the professional world of volatility arbitrage.

You will discover why the VIX is not just a panic button but a tradable asset class with distinct rules. We strip away the calculus to reveal the Volatility Risk Premium, the structural edge that powers returns for insurance sellers. Learn to decode the futures curve, read the smirk of volatility skew to find cheap hedges, and master the specific strategies that thrive when markets break down.

Forget dense academic theory and unreadable formulas. This series prioritizes mechanics over math, offering a conversational and intuitive approach to complex derivatives. By focusing on practical execution and rigorous risk management, it hands you the playbook needed to trade the volatility surface without needing a PhD in quantitative finance.

Trading the VIX, Skew, and Implied Vol Without a PhD

The Volatility Playbook

Derivatives: Mathematical Foundations for Finance Students is written for students of finance and actuarial science who want to understand derivatives not just as formulas but as ideas that make sense. The goal is to build the mathematical foundations up step by step - starting from the familiar territory of first-year undergraduate probability and statistics and moving all the way to stochastic calculus and the principles of risk-neutral pricing, which form the heart of modern financial mathematics.This text will enable the reader to:¿ understand models of asset price behavior and apply stochastic calculus ¿ use stochastic simulations in R to investigate processes and price options ¿ price options with the binomial model ¿ derive solutions to the Black-Scholes equation using risk-neutral pricing ¿ price interest-rate derivatives using Black's model, short-rate models and the Heath-Jarrow-Morton (HJM) framework ¿ tackle quantitative finance exam questions.It incorporates a range of learning features to aid student understanding, including boxed examples, end-of-chapter summaries, selected questions from Society of Actuaries (US) Quantitative Finance examinations and further reading suggestions. The book is also supported by a suite of digital learning resources, including PowerPoint slides, multiple choice questions, instructor manual/advice document for lecturers and a test bank.This book will appeal to both undergraduate and postgraduate students who wish to understand the principles of stochastic calculus and option pricing.

Mathematical Foundations for Finance Students

Derivatives

Valeriy Zakamulin

Javier Giner

Bringing Science into the Art of Trend Following

The Ultimate Moving Average Handbook

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

The work carried out in many financial institutions has demonstrated that successful trading operations can be built using functional programming. However, there remains an entry barrier due to the lack of practical knowledge required to apply these techniques effectively. This book lowers that barrier by offering accessible insights that are enriched with real-world expertise.
While functional programming has been around for many decades, its benefits have become increasingly apparent in more recent years. This is due to a variety of factors, including advancements in processing speeds, the growth in the use of distributed computing, and the availability of functional programming languages on platforms which are popular in finance - particularly .NET and JVM.
The opening chapters introduce the fundamental concepts in functional programming and illustrate how these concepts are used in solving problems in the fixed income markets. As your understanding deepens, later chapters explore increasingly complex examples in areas such as valuation, risk analysis, hedging, and deal automation. The concluding chapters examine common programming patterns that arise across the solutions, including those influenced by category theory, such as functors, semigroups, monoids, and monads. At each stage, the book presents carefully selected algorithms to reinforce the practical understanding of the solutions.
In the end, this book provides an accessible introduction to the use of functional programming in the financial markets by bridging the gap between the theory of functional programming and its practical application in areas of finance.

What You Will Learn 

Develop functions for performing common financial market operations, such as valuing financial assets, calculating risks, hedging those risks, and automating buy/sell decisions.

Use functional programming to extract business insights from large datasets using numerical and statistical techniques. 

Effectively apply various functional programming features, such as recursion, higher-order functions, and list processing, in creating these solutions




Who This Book Is For
Aspiring professionals entering the financial markets; professional software engineers seeking a deeper understanding of how functional programming is utilized in modern capital markets; and finance professionals (including traders, risk managers, and other business users) who want to grasp the implementation details behind the "black box" tools they rely on in their day to day lives.

A Practical Guide to Solving Analytical Problems

Functional Programming in Financial Markets

&lt;p class="xparagraph" style="margin: 0cm; margin-bottom: .0001pt;"&gt;&lt;span class="xnormaltextrun"&gt;&lt;span lang="EN-GB" style="mso-ansi-language: EN-GB;"&gt;Callable mortgage bonds are utilized by individuals and companies to finance the purchase of real estate, and this asset class therefore plays a crucial role in modern society. Callable mortgage bonds constitute an enormous asset class and often offer long-term stable investments that are very attractive for pension funds.&lt;/span&gt;&lt;/span&gt;&lt;span class="xeop"&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p class="xparagraph" style="margin: 0cm; margin-bottom: .0001pt;"&gt;&amp;nbsp;&lt;/p&gt;
&lt;p class="xparagraph" style="margin: 0cm; margin-bottom: .0001pt; white-space: pre-wrap;"&gt;&lt;span style="font-variant-ligatures: none!important;"&gt;&lt;span class="xnormaltextrun"&gt;&lt;span lang="EN-GB" style="mso-ansi-language: EN-GB;"&gt;This book focuses on the pricing and calculation of risk numbers of callable fixed-rate mortgage bonds. Owing to the, from a financial perspective, irrational behaviour of borrowers, the pricing of these instruments usually requires the use of numerical solutions. Traditionally, it has been either a Monte Carlo simulation or a Finite Difference method. This book covers both methods and, in addition, the relatively new Fourier technique. This latter technique also creates a link between the interest rate derivatives market and the market for callable mortgage bonds. Finally, a chapter presenting a model for the valuation of a mortgage credit institute&amp;rsquo;s loan book is included.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class="xeop"&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;

Niels Rom

Numerical Methods and Valuation Models for Pricing and Risk Analysis

Callable Mortgage Bonds

&lt;p&gt;Cryptocurrencies and digital assets have continued to gain widespread acceptance from both retail and institutional investors. Alongside this rapid growth, the digital ecosystem remains plagued by bad actors who prey on the space. These range from state-sponsored North Korean hacker groups, Russian ransomware gangs, multinational organized criminal enterprises to lower-level Chinese gangsters and run of the mill romance scammers. These criminals indiscriminately target victims across all demographics. Furthermore, cryptocurrency-related scams continue to present increasingly significant threats to institutions and national security.&lt;/p&gt;
&lt;p&gt;Since the publication of &lt;em&gt;The Cryptocurrency and Digital Asset Fraud Casebook&lt;/em&gt; volumes I and II, scammers have only intensified the sophistication and scope of their attacks. This evolving threat landscape, coupled with a rapidly changing regulatory environment, underscores the ongoing need for up-to-date information and analysis. &lt;em&gt;The Cryptocurrency and Digital Asset Fraud Casebook, Volume III: Exchange Hacks, Deepfakes, Social Media, and Artificial Intelligence Scams &lt;/em&gt;is essential reading for anyone seeking the latest insights into fraudulent activity within the cryptocurrency and digital asset space.&lt;/p&gt;

Jason Scharfman

Exchange Hacks, Deepfakes, Social Media, and Artificial Intelligence Scams

The Cryptocurrency and Digital Asset Fraud Casebook, Volume III

Studienarbeit aus dem Jahr 2020 im Fachbereich BWL - Rechnungswesen, Bilanzierung, Steuern, Note: 1,0, Ernst-Moritz-Arndt-Universität Greifswald (Rechts- und Staatswissenschaftlichen Fakultät), Veranstaltung: Seminar zu Portofolio- und Risikomanagement, Sprache: Deutsch, Abstract: Im Rahmen des modernen Risikomanagements ist die Verarbeitung vieler korrelierender Einzelrisiken von Bedeutung. Die Copula-Theorie beschäftigt sich mit diesem Problem und ist Hauptgegenstand der vorliegenden Arbeit. Zunächst werden in Kapitel 2 mathematische Grundannahmen und Definitionen aufgezeigt, die auf den Arbeiten von Sklar und Fréchet-Hoeffding basieren. Im darauffolgenden Kapitel 3 werden die fundamentalen Copulas beschrieben, welche die verschiedenen Abhängigkeitsstrukturen modellieren. Kapitel 4 behandelt die Tail-Abhängigkeiten, bei denen die Verhaltensweisen der Copula-Funktionen an den äußeren Rändern definiert werden. Kapitel 5 betrachtet besonders wichtige Copula-Funktionen und ordnet diese der elliptischen und archimedischen Klasse zu. Dabei werden die in den vorherigen Kapiteln definierten Regeln und Eigenschaften auf spezielle Fälle angewendet. Ab-schließend werden die Erkenntnisse der Arbeit im Fazit zusammengefasst, wobei auch Kritik an Copula-Modellen angeführt wird. Hauptziel dieser Arbeit ist es, ein generelles Verständnis über die Copula-Theorie zu erlangen.

Copula-Theorie und Tail-Dependence im modernen Risikomanagement. Grundlagen, Typen und Anwendungen

This book is a short monograph on using mathematics in a basic financial model: cash flows. With cash flows, this book covers financial literacy topics including time value of money, interest rates, NPV and IRR, calculation of rate of return, and utility theory. The rest of the book covers financial engineering topics, including Asset-Back Securities, Mortgage-Back Securities, NPV and IRR for uncertain cash flows, valuation of financial instruments based on cash flows, hedging strategies for derivatives pricing, and optimization involving cash flows. Primarily suitable for self-learners, especially those with a strong quantitative background, to get into the finance field, this book includes all suggested solutions to problems, mainly arising from the practical area of finance.

Mathematics of Cash Flows

A concise and practical guide to financial modeling in Excel In The Essentials of Financial Modeling in Excel: A Concise Guide to Concepts and Methods, veteran quantitative modeling and business analysis expert Dr. Michael Rees delivers a practical and hands-on introduction to financial modeling in Excel. The author offers readers a well-structured and strategic toolkit to learn modeling from scratch, focusing on the core economic concepts and the structures commonly required within Excel models. Divided into six parts, the book discusses the use of models and the factors to consider when designing and building models so that they can be as powerful as possible, yet simple. . Readers will also find: <ul> <li>The foundational structures and calculations most frequently used in modeling, including growth- and ratio-based methods, corkscrews, and waterfall analysis</li> <li>Walkthroughs of economic modeling, measurement, and evaluation, and the linking of these to the decision criteria. These include breakeven and payback analysis, compounding, discounting, calculation of returns, loan calculations, and others</li> <li>Structured approaches for modeling in corporate finance, including financial statement modeling, cash flow valuation, cost of capital, and ratio analysis</li> <li>Techniques to implement sensitivity and scenario analysis</li> <li>Core aspects of statistical analysis, including data preparation, manipulation, and integration</li> <li>The use of approximately 100 Excel functions within example modeling contexts</li> <li>Further Topics Sections, which introduce advanced aspects of many areas, in order to provide further benefit to more advance readers, whilst presenting the truly essential topics separately. Examples of these include introductions to PowerQuery and PowerPivot, as well as advanced waterfall structures</li></ul>An invaluable, all-in-one blueprint for learning financial modeling in Excel, this book is ideal for beginning and intermediate financial professionals and students seeking to build and reinforce essential topics in financial modeling.

A Concise Guide to Concepts and Methods

The Essentials of Financial Modeling in Excel

Options and Derivatives Mastery

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