Finance Code
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Audit and Accounting Guide Depository and Lending Institutions
| Author | : AICPA |
| Publisher | : John Wiley & Sons |
| Total Pages | : 913 |
| Release | : 2019-11-20 |
| Genre | : Business & Economics |
| ISBN | : 1948306735 |
The financial services industry is undergoing significant change. This has added challenges for institutions assessing their operations and internal controls for regulatory considerations. Updated for 2019, this industry standard resource offers comprehensive, reliable accounting implementation guidance for preparers. It offers clear and practical guidance of audit and accounting issues, and in-depth coverage of audit considerations, including controls, fraud, risk assessment, and planning and execution of the audit. Topics covered include: Transfers and servicing; Troubled debt restructurings; Financing receivables and the allowance for loan losses; and, Fair value accounting This guide also provides direction for institutions assessing their operations and internal controls for regulatory considerations as well as discussions on existing regulatory reporting matters. The financial services industry is undergoing significant change. This has added challenges for institutions assessing their operations and internal controls for regulatory considerations. Updated for 2019, this industry standard resource offers comprehensive, reliable accounting implementation guidance for preparers. It offers clear and practical guidance of audit and accounting issues, and in-depth coverage of audit considerations, including controls, fraud, risk assessment, and planning and execution of the audit. Topics covered include: Transfers and servicing; Troubled debt restructurings; Financing receivables and the allowance for loan losses; and, Fair value accounting This guide also provides direction for institutions assessing their operations and internal controls for regulatory considerations as well as discussions on existing regulatory reporting matters.
The Code of Capital
| Author | : Katharina Pistor |
| Publisher | : Princeton University Press |
| Total Pages | : 315 |
| Release | : 2020-11-03 |
| Genre | : Business & Economics |
| ISBN | : 0691208603 |
"Capital is the defining feature of modern economies, yet most people have no idea where it actually comes from. What is it, exactly, that transforms mere wealth into an asset that automatically creates more wealth? The Code of Capital explains how capital is created behind closed doors in the offices of private attorneys, and why this little-known fact is one of the biggest reasons for the widening wealth gap between the holders of capital and everybody else. In this revealing book, Katharina Pistor argues that the law selectively "codes" certain assets, endowing them with the capacity to protect and produce private wealth. With the right legal coding, any object, claim, or idea can be turned into capital - and lawyers are the keepers of the code. Pistor describes how they pick and choose among different legal systems and legal devices for the ones that best serve their clients' needs, and how techniques that were first perfected centuries ago to code landholdings as capital are being used today to code stocks, bonds, ideas, and even expectations--assets that exist only in law. A powerful new way of thinking about one of the most pernicious problems of our time, The Code of Capital explores the different ways that debt, complex financial products, and other assets are coded to give financial advantage to their holders. This provocative book paints a troubling portrait of the pervasive global nature of the code, the people who shape it, and the governments that enforce it."--Provided by publisher.
Machine Learning in Finance
| Author | : Matthew F. Dixon |
| Publisher | : Springer Nature |
| Total Pages | : 565 |
| Release | : 2020-07-01 |
| Genre | : Business & Economics |
| ISBN | : 3030410684 |
This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.
Codes of Finance
| Author | : Vincent Antonin Lépinay |
| Publisher | : Princeton University Press |
| Total Pages | : 305 |
| Release | : 2011-08-08 |
| Genre | : Business & Economics |
| ISBN | : 1400840465 |
A behind-the-scenes account of the derivatives business at a major investment bank The financial industry's invention of complex products such as credit default swaps and other derivatives has been widely blamed for triggering the global financial crisis of 2008. In Codes of Finance, Vincent Antonin Lépinay, a former employee of one of the world’s leading investment banks, takes readers behind the scenes of the equity derivatives business at the bank before the crisis, providing a detailed firsthand account of the creation, marketing, selling, accounting, and management of these financial instruments—and of how they ultimately created havoc inside and outside the bank.
United States Code
| Author | : United States |
| Publisher | : |
| Total Pages | : 1146 |
| Release | : 2013 |
| Genre | : Law |
| ISBN | : |
"The United States Code is the official codification of the general and permanent laws of the United States of America. The Code was first published in 1926, and a new edition of the code has been published every six years since 1934. The 2012 edition of the Code incorporates laws enacted through the One Hundred Twelfth Congress, Second Session, the last of which was signed by the President on January 15, 2013. It does not include laws of the One Hundred Thirteenth Congress, First Session, enacted between January 2, 2013, the date it convened, and January 15, 2013. By statutory authority this edition may be cited "U.S.C. 2012 ed." As adopted in 1926, the Code established prima facie the general and permanent laws of the United States. The underlying statutes reprinted in the Code remained in effect and controlled over the Code in case of any discrepancy. In 1947, Congress began enacting individual titles of the Code into positive law. When a title is enacted into positive law, the underlying statutes are repealed and the title then becomes legal evidence of the law. Currently, 26 of the 51 titles in the Code have been so enacted. These are identified in the table of titles near the beginning of each volume. The Law Revision Counsel of the House of Representatives continues to prepare legislation pursuant to 2 U.S.C. 285b to enact the remainder of the Code, on a title-by-title basis, into positive law. The 2012 edition of the Code was prepared and published under the supervision of Ralph V. Seep, Law Revision Counsel. Grateful acknowledgment is made of the contributions by all who helped in this work, particularly the staffs of the Office of the Law Revision Counsel and the Government Printing Office"--Preface.
Python for Finance
| Author | : Yves Hilpisch |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 720 |
| Release | : 2018-12-05 |
| Genre | : Computers |
| ISBN | : 1492024295 |
The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
Controller's Code
| Author | : Michael Whitmire |
| Publisher | : |
| Total Pages | : |
| Release | : 2020-04-29 |
| Genre | : |
| ISBN | : 9780578653372 |
Controllers in the 21st Century need to master more than the technical accounting skills to become the strategic leaders their companies need. You need to be an effective leader and manager. You need to explain the debits and credits at a high level to the CFO while keeping one hand in the weeds. You have to anticipate the risks your company faces in an increasingly complex, competitive, and regulatory landscape. And you have to be an expert in ever-changing technology.But how do you learn all these parts of your job? These skills aren't taught alongside the debits and credits in school.In Controller's Code, Mike Whitmire gives you the inside scoop on the skills you need to have a stellar career in the controller's seat. You'll get real-world guidance from finance pros at leading companies so you can write your own success story and play a bigger role at your company.
Artificial Intelligence in Finance
| Author | : Yves Hilpisch |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 478 |
| Release | : 2020-10-14 |
| Genre | : Business & Economics |
| ISBN | : 1492055387 |
The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about
Introduction to C++ for Financial Engineers
| Author | : Daniel J. Duffy |
| Publisher | : John Wiley & Sons |
| Total Pages | : 405 |
| Release | : 2013-10-24 |
| Genre | : Business & Economics |
| ISBN | : 1118856465 |
This book introduces the reader to the C++ programming language and how to use it to write applications in quantitative finance (QF) and related areas. No previous knowledge of C or C++ is required -- experience with VBA, Matlab or other programming language is sufficient. The book adopts an incremental approach; starting from basic principles then moving on to advanced complex techniques and then to real-life applications in financial engineering. There are five major parts in the book: C++ fundamentals and object-oriented thinking in QF Advanced object-oriented features such as inheritance and polymorphism Template programming and the Standard Template Library (STL) An introduction to GOF design patterns and their applications in QF Applications The kinds of applications include binomial and trinomial methods, Monte Carlo simulation, advanced trees, partial differential equations and finite difference methods. This book includes a companion website with all source code and many useful C++ classes that you can use in your own applications. Examples, test cases and applications are directly relevant to QF. This book is the perfect companion to Daniel J. Duffy’s book Financial Instrument Pricing using C++ (Wiley 2004, 0470855096 / 9780470021620)
