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Venture N: Options and Derivatives
Mastery

Options and Derivatives Mastery

Crafting Strategies for Market Dominance

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

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

Economics and Finance (R0)

&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 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

&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

Professional and Applied Computing (R0)

Paramjit Parmar

ML Values Autocall Derivatives

Intelligent Technologies and Robotics (R0)

Andrii Semenov

Iryna Yepifanova

Jana Kajanová

Modern Trends in Financial and Innovation Data Processes 2025. Volume 1

Data-Centric Business and Applications

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

Mathematics and Statistics (R0)

Syouji Nakamura

Katsushige Sawaki

Toshio Nakagawa

Including Applications to Reliability Models

Probability and Statistical Models in Operations Research, Computer and Management Sciences

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

Options and Derivatives Mastery

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