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Venture N: Options and Derivatives
Mastery

Options and Derivatives Mastery

Crafting Strategies for Market Dominance

Economics and Finance (R0)

Valeriy Zakamulin

Javier Giner

Bringing Science into the Art of Trend Following

The Ultimate Moving Average Handbook

&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

This book explains the US mortgage market in plain language first, then the mathematics, then the AI now taking over the work. It follows eight people through the life of one loan - Jack the borrower, Maya the loan officer, Priya the servicer, Benny the dealer, Elena the investor, Peter the quant, Melissa the examiner, and Simon the retail saver - and every formula arrives attached to whoever uses it.

Nine chapters carry one thirty-year payment stream from a kitchen table to a trading desk. The early chapters build the mortgage: amortization, underwriting and credit, pooling, the prepayment conventions (SMM, CPR, PSA), and why the 2007 loans defaulted together. The middle chapters add the desk's machinery: SOFR discounting, DV01 and key rate durations, Itô's lemma and short-rate models, the prepayment option as a receiver swaption, and option-adjusted spread.

Machine learning runs alongside from the first chapter: each chapter before the last ends its theory with a bridge from the classical method to the learned one, from loan-level feature vectors and survival networks to neural SDEs. The last chapter puts it to work where it pays - hybrid models that keep an explainable baseline and learn only the residual, neural pricing surrogates that compute OAS and DV01 in real time, GPU numerics - and covers the governance a model validator will demand before any of it runs with money behind it.

Every chapter ends with a retail window, because agency MBS is probably already in your bond fund. Key results are measured on Fannie Mae's loan-level data, and every function the book names is in mortgagekit, its open-source Python companion.

Mortgage Markets in the Age of AI

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

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

A First Course in Model Validation and Model Risk Management offers robust coverage for current and future financial engineers. Useful as part of a masters program, for self-study, or as a valuable reference, the textbook explains in step-by-step, practical terms how mathematical models owned by financial institutions are essential to their public activities, including sales, trading, risk management, and internal audits. Like a diverse fleet of cars maintained by a rental car location, a bank must make sure customers can "drive" any of its models for a specific financial product. The book covers both pricing and risk models. Chapters consider modeling basics, marked-to-market and marked-to-model asset classes, market risk, credit risk, portfolio risk, operational risk, capital model risk, and financial crime, along with machine learning/AI. To support course use and practical applications, the text provides examples in Python throughout, as well as an appendix containing homework problems for all chapters, further supported by an ftp site for data and sample code. Additional appendices cover global model risk management, and a refresher in statistics.

A First Course in Model Validation and Model Risk Management

Business and Economics (German Language)

&lt;p&gt;Dieses Buch erforscht umfassend die Bedeutung datenbasierter Finanzierungskonzepte für das Firmenkundengeschäft von Banken. Mithilfe präziser Daten aus dem „Industrial Internet of Things“ (IIoT) bieten mittelständische Unternehmen ihren Kunden bereits derartige zukunftsweisende Finanzierungsoptionen an. Diese auf Miet- oder Abonnementmodellen statt auf klassischen Kaufgeschäften basierenden Geschäftsmodellinnovation haben langfristig weitreichende Auswirkungen auf das Firmenkundengeschäft von Banken, ein Forschungsbereich welcher bis dato noch nicht umfassend betrachtet wird. Vor diesem Hintergrund stellt sich die konkrete Frage, welche Chancen und Risiken für Banken aus solchen Geschäftsmodellen erwachsen. Besonderes Augenmerk liegt auf deutschen Sparkassen und Genossenschaftsbanken, die als direkte Ansprechpartner für mittelständische Unternehmen agieren und besonders von den bevorstehenden Veränderungen betroffen sind. Das Buch untergliedert sich in 5 Kapitel. Kapitel 1 und 2 schaffen zunächst einen definitorischen und konzeptionellen Rahmen für die Problemstellung und geben einen Überblick sowohl über Ausprägungsformen nutzungsdatenbasierter Geschäftsmodelle als auch den (wissenschaftlichen) Stand der Diskussion zu dieser Frage. Kapitel 3 geht dann auf die Durchführung der Experteninterviews mit Vertreter/-innen aus unterschiedlichen Bereichen der Wirtschaft ein und generiert über eine kompakte Auswertung der vielschichtigen Expertenmeinungen Hypothesen, die leitend für die nachfolgenden Kapitel sind. Im Kapitel 4 geht es dann um das Konzept sowie die Befunde der durchgeführten Fragebogenstudie, die mit Blick auf die einbezogenen Kreditinstitute vergleichend angelegt ist. Die Studie schließt mit der Diskussion wichtiger Implikationen sowie einem Fazit und Ausblick.&lt;/p&gt;


Elmar Lukas

Sascha Mölls

Natalie Nowak

Vladlena Prysyazhna

Innovative Finanzdienstleistungen im Kontext von Industrie 4.0

Smart Finance und IIoT

Das Lehrbuch behandelt Anleihen, Aktien, Immobilien sowie Optionen und weitere Produkte für die Geldanlage. Besonderes Vorwissen ist nicht vorausgesetzt. Inhalt und Aufbau entsprechen den Lehrveranstaltungen auf der Bachelor-Stufe unserer Hochschulen.
Die Kapitel 1 bis 12 stellen Grundwissen bereit. Die Themen: Geld, Werte, Liquidität, Rendite, Anleihen, Aktien, Immobilien, Finanztiefe und Finanzkrisen. Die folgenden Kapitel 13 bis 18 behandeln Themen wie Kapitalkosten, Kreditrisiken und Kapitalstruktur. Zins- und Währungsrisiken, Futures und Optionen schließen sich an.
Jedes Kapitel bietet Lernpunkte und Fragen. Das Buch endet mit einem Glossar.

utb+: Online stehen zu diesem Buch ergänzende Materialien für Dozierende sowie ein E-Learning-Kurs mit 200 Fragen und Antworten für die Prüfungsvorbereitung zur Verfügung. Erhältlich über utb.de.

Wertpapiere, Investitionen, Finanzierungen

Finanzmärkte

Wiley Finance

Hands-on quantitative techniques for the FX derivatives markets

Modeling Foreign Exchange Options provides practical instruction on the pricing and implementation of FX structured products for the FX market. Written by an internationally renowned academic and practitioner, this book goes beyond the basic Black Scholes equation to price options using volatility smile and surface construction and consistent stochastic volatility models (SLV), Monte Carlo techniques, and finite difference techniques. Coverage focuses on the most popular and real-life tested FX derivatives models, its implementation issues, describing the mathematical basis of each model and showing you how to calibrate the model to the product for the most accurate result. You learn why SLV is superior to traditional vanna-volga approaches in terms of consistency and firm-wide model governance. From industry standards to the latest techniques out of academic publications, this helpful guide explores the broad range of FX derivatives pricing tools and methods at your disposal.

While the author's previous book, FX Options and Structured Products, delves into the structure and sales side of exotic options, this book turns to the quantitative to provide clear guidance through more complex operations that improve accuracy and provide more nuanced information.
* Move beyond the basic Black Scholes equation with advanced pricing methods
* Model the FX volatility surface, with a critical view on interpolation and extrapolation
* Understand the mathematics behind the models, and how to apply them efficiently

The FX market is the largest in the world, exceeding $1.9 trillion per day. With this much money changing hands in the blink of an eye, advanced quantitative techniques go a long way toward improving your position. Modeling Foreign Exchange Options is the uniquely comprehensive guide to modeling and pricing structured products.

A Quantitative Approach

Modeling Foreign Exchange Options

The Wiley Finance Series

An invaluable guide for fixed income practitioners, fully updated to incorporate the shift from LIBOR to SOFR Since its first edition in 2013, Fixed Income Relative Value Analysis: A Practitioner's Guide to the Theory, Tools, and Trades has become the gold standard for guides linking financial theories with practical analysis tools. The newly revised second edition reflects both the progress in statistical tools over the last decade and the impact of the transition to SOFR on swap spreads. You'll find a set of statistical and financial tools, a multitude of actual trades resulting from the application of these tools, as well as access to a companion website featuring spreadsheets illustrating some of the models contained in the book. This book covers: <ul> <li>Statistical models for quantitative market analysis, in particular mean reversion models and principal component analysis, now including the multivariate Ornstein-Uhlenbeck model.</li> <li>An in-depth approach to understanding swap spreads in theory and practice.</li> <li>A comprehensive discussion of the various basis swaps and their combinations.</li> <li>The incorporation of credit default swaps in yield curve analysis.</li> <li>A classification of option trades into three types and the appropriate analysis tools.</li> <li>Fitted curve techniques for identifying relative value among different bonds.</li> <li>A multi-factor delivery option model for bond future contracts.</li></ul>Fixed Income Relative Value Analysis has proven to be an indispensable desk reference for buy- and sell-side fixed income professionals, including traders, quantitative analysts, portfolio managers, financial engineers, fixed income salespeople with sophisticated clientele and risk managers.

A Practitioner's Guide to the Theory, Tools, and Trades

Fixed Income Relative Value Analysis + Website

Springer Nature Proceedings excluding Computer Science

&lt;p&gt;This book focuses on selected aspects of the current and upcoming trends in transportation, logistics, and decision-making. In detail, the included transportation management, optimization and management of logistics system, big data technology and method, financial engineering and risk management, investment decision and risk management, data-driven process management decision, scheduling optimization and combination decision, theory and method of forecasting and decision-making, data mining and knowledge management, operation and green&amp;nbsp; supply chain management, industrial engineering and operation management, information system and business intelligence, Internet + green manufacturing, strategic emerging industries and industrial finance, big data, and smart city. The variety of the papers delivers added value for both scholars and practitioners. This book is the documentation of the symposium “The Eleventh International Forum on Decision Sciences,” which took place in Qingdao, Shandong Province, China.&amp;nbsp;&lt;br&gt;&lt;/p&gt;

Xiang Li

Xiaofeng Xu

Proceedings of the Eleventh International Forum on Decision Sciences

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

Options and Derivatives Mastery

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