Practical .NET for Financial Markets

Practical .NET for Financial Markets
Author: Vivek Shetty
Publisher: Apress
Total Pages: 525
Release: 2006-11-17
Genre: Computers
ISBN: 1430201479

* Hardcore .NET solutions for advanced, distributed financial applications. * Fascinating insight into operation of Equity markets and the challenges this poses for technology solutions – you do not have to be an equity market insider to use this book. * Examines next generation trading challenges, and potential solutions using .NET 2.0 and emerging technology, such as Avalon, Indigo and Longhorn.

Practical C# and WPF For Financial Markets

Practical C# and WPF For Financial Markets
Author: Jack Xu
Publisher: UniCAD
Total Pages: 618
Release: 2016-12-05
Genre: Business & Economics
ISBN: 0979372550

Practical C# and WPF for Financial Markets provides a complete explanation of .NET programming in quantitative finance. It demonstrates how to implement quant models and back-test trading strategies. It pays special attention to creating business applications and reusable C# libraries that can be directly used to solve real-world problems in quantitative finance. The book contains: • Overview of C#, WPF programming, data binding, and MVVM pattern, which is necessary to create MVVM compatible .NET financial applications. • Step-by-step approaches to create a variety of MVVM compatible 2D/3D charts, stock charts, and technical indicators using my own chart package and Microsoft chart control. • Introduction to free market data retrieval from online data sources using .NET interfaces. These data include EOD, real-time intraday, interest rate, foreign exchange rate, and option chain data. • Detailed procedures to price equity options and fixed-income instruments, including European/American/Barrier options, bonds, and CDS, as well as discussions on related topics such as cash flows, term structures, yield curves, discount factors, and zero-coupon bonds. • Introduction to linear analysis, time series analysis, and machine learning in finance, which covers linear regression, PCA, SVM, and neural networks. • In-depth descriptions of trading strategy development and back-testing, including strategies for single stock trading, stock pairs trading, and trading for multi-asset portfolios.

C# for Financial Markets

C# for Financial Markets
Author: Daniel J. Duffy
Publisher: John Wiley & Sons
Total Pages: 866
Release: 2013-03-04
Genre: Business & Economics
ISBN: 0470030089

A practice-oriented guide to using C# to design and program pricing and trading models In this step-by-step guide to software development for financial analysts, traders, developers and quants, the authors show both novice and experienced practitioners how to develop robust and accurate pricing models and employ them in real environments. Traders will learn how to design and implement applications for curve and surface modeling, fixed income products, hedging strategies, plain and exotic option modeling, interest rate options, structured bonds, unfunded structured products, and more. A unique mix of modern software technology and quantitative finance, this book is both timely and practical. The approach is thorough and comprehensive and the authors use a combination of C# language features, design patterns, mathematics and finance to produce efficient and maintainable software. Designed for quant developers, traders and MSc/MFE students, each chapter has numerous exercises and the book is accompanied by a dedicated companion website, www.datasimfinancial.com/forum/viewforum.php?f=196&sid=f30022095850dee48c7db5ff62192b34, providing all source code, alongside audio, support and discussion forums for readers to comment on the code and obtain new versions of the software.

Applied C# in Financial Markets

Applied C# in Financial Markets
Author: Martin Worner
Publisher: John Wiley & Sons
Total Pages: 138
Release: 2005-04-08
Genre: Business & Economics
ISBN: 0470870621

Applied C# in Financial Markets covers all the aspects of C# relevant to practitioners working in financial sector. It contains a practical workshop which builds on the material in the book, guiding you through all the stages of building a multiple model options calculator. An accompanying website features examples, illustrations and solutions to the workshops and a downloadable application to complement the book. Features examples and illustrations taken from a sample trading application, making the book relevant to those working in the financial markets. Provides a quick start to C# for financial professionals to hit the ground running in building financial applications. Workshops illustrate building an options calculator, exploring the various elements in C# as they progress.

Toward a New International Financial Architecture

Toward a New International Financial Architecture
Author: Barry J. Eichengreen
Publisher: Peterson Institute for International Economics
Total Pages: 224
Release: 1999
Genre: Business & Economics
ISBN:

Recoge: 1. Introduction-2. Summary of recommendations-3. Standars for crisis prevention-4. Banks and capital flows-5. Bailing in the private sector-6. What won't work-7. What the IMF should do (and what we should do about the IMF).

Practical Quantitative Finance with ASP.NET Core and Angular

Practical Quantitative Finance with ASP.NET Core and Angular
Author: Jack Xu
Publisher: UniCAD
Total Pages: 652
Release: 2019-03
Genre: Business & Economics
ISBN: 0979372569

This book provides comprehensive details of developing ultra-modern, responsive single-page applications (SPA) for quantitative finance using ASP.NET Core and Angular. It pays special attention to create distributed web SPA applications and reusable libraries that can be directly used to solve real-world problems in quantitative finance. The book contains: Overview of ASP.NET Core and Angular, which is necessary to create SPA for quantitative finance. Step-by-step approaches to create a variety of Angular compatible real-time stock charts and technical indicators using ECharts and TA-Lib. Introduction to access market data from online data sources using .NET Web API and Angular service, including EOD, intraday, real-time stock quotes, interest rates. Detailed procedures to price equity options and fixed-income instruments using QuantLib, including European/American/Barrier/Bermudan options, bonds, CDS, as well as related topics such as cash flows, term structures, yield curves, discount factors, and zero-coupon bonds. Detailed explanation to linear analysis and machine learning in finance, which covers linear regression, PCA, KNN, SVM, and neural networks. In-depth descriptions of trading strategy development and back-testing for crossover and z-score based trading signals.

Financial Market History: Reflections on the Past for Investors Today

Financial Market History: Reflections on the Past for Investors Today
Author: David Chambers
Publisher: CFA Institute Research Foundation
Total Pages: 306
Release:
Genre: Business & Economics
ISBN: 1944960163

Since the 2008 financial crisis, a resurgence of interest in economic and financial history has occurred among investment professionals. This book discusses some of the lessons drawn from the past that may help practitioners when thinking about their portfolios. The book’s editors, David Chambers and Elroy Dimson, are the academic leaders of the Newton Centre for Endowment Asset Management at the University of Cambridge in the United Kingdom.

AI and Financial Markets

AI and Financial Markets
Author: Shigeyuki Hamori
Publisher: MDPI
Total Pages: 230
Release: 2020-07-01
Genre: Business & Economics
ISBN: 3039362240

Artificial intelligence (AI) is regarded as the science and technology for producing an intelligent machine, particularly, an intelligent computer program. Machine learning is an approach to realizing AI comprising a collection of statistical algorithms, of which deep learning is one such example. Due to the rapid development of computer technology, AI has been actively explored for a variety of academic and practical purposes in the context of financial markets. This book focuses on the broad topic of “AI and Financial Markets”, and includes novel research associated with this topic. The book includes contributions on the application of machine learning, agent-based artificial market simulation, and other related skills to the analysis of various aspects of financial markets.

An Introduction to Financial Markets

An Introduction to Financial Markets
Author: Paolo Brandimarte
Publisher: John Wiley & Sons
Total Pages: 893
Release: 2018-02-22
Genre: Mathematics
ISBN: 1118594665

COVERS THE FUNDAMENTAL TOPICS IN MATHEMATICS, STATISTICS, AND FINANCIAL MANAGEMENT THAT ARE REQUIRED FOR A THOROUGH STUDY OF FINANCIAL MARKETS This comprehensive yet accessible book introduces students to financial markets and delves into more advanced material at a steady pace while providing motivating examples, poignant remarks, counterexamples, ideological clashes, and intuitive traps throughout. Tempered by real-life cases and actual market structures, An Introduction to Financial Markets: A Quantitative Approach accentuates theory through quantitative modeling whenever and wherever necessary. It focuses on the lessons learned from timely subject matter such as the impact of the recent subprime mortgage storm, the collapse of LTCM, and the harsh criticism on risk management and innovative finance. The book also provides the necessary foundations in stochastic calculus and optimization, alongside financial modeling concepts that are illustrated with relevant and hands-on examples. An Introduction to Financial Markets: A Quantitative Approach starts with a complete overview of the subject matter. It then moves on to sections covering fixed income assets, equity portfolios, derivatives, and advanced optimization models. This book’s balanced and broad view of the state-of-the-art in financial decision-making helps provide readers with all the background and modeling tools needed to make “honest money” and, in the process, to become a sound professional. Stresses that gut feelings are not always sufficient and that “critical thinking” and real world applications are appropriate when dealing with complex social systems involving multiple players with conflicting incentives Features a related website that contains a solution manual for end-of-chapter problems Written in a modular style for tailored classroom use Bridges a gap for business and engineering students who are familiar with the problems involved, but are less familiar with the methodologies needed to make smart decisions An Introduction to Financial Markets: A Quantitative Approach offers a balance between the need to illustrate mathematics in action and the need to understand the real life context. It is an ideal text for a first course in financial markets or investments for business, economic, statistics, engineering, decision science, and management science students.

Practical .NET for Financial Markets

Practical .NET for Financial Markets
Author: Vivek Shetty
Publisher: Apress
Total Pages: 0
Release: 2014-11-05
Genre: Computers
ISBN: 9781430211761

* Hardcore .NET solutions for advanced, distributed financial applications. * Fascinating insight into operation of Equity markets and the challenges this poses for technology solutions – you do not have to be an equity market insider to use this book. * Examines next generation trading challenges, and potential solutions using .NET 2.0 and emerging technology, such as Avalon, Indigo and Longhorn.