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A Primer for the Mathematics of Financial Engineering, Second Edition | Financial Engineering Press
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Engineering the Financial Crisis, Jeffrey Friedman, Wladimir Kraus, The financial crisis has been blamed on reckless bankers, irrational exuberance, government support of mortgages for the poor, financial deregulation, and expansionary monetary policy. Specialists in banking, however, tell a story with less emotional resonance but a better correspondence to the evidence: the crisis was sparked by the international regulatory accords on bank capital levels, the Basel Accords.In one of the first studies critically to examine the Basel Accords, Engineering the Financial Crisis reveals the crucial role that bank capital requirements and other government regulations played in the recent financial crisis. Jeffrey Friedman and Wladimir Kraus argue that by encouraging banks to invest in highly rated mortgage-backed bonds, the Basel Accords created an overconcentration of risk in the banking industry. In addition, accounting regulations required banks to reduce lending if the temporary market value of these bonds declined, as they did in 2007 and 2008 during the panic over subprime mortgage defaults.The book begins by assessing leading theories about the crisis—deregulation, bank compensation practices, excessive leverage, "too big to fail," and Fannie Mae and Freddie Mac—and, through careful evidentiary scrutiny, debunks much of the conventional wisdom about what went wrong. It then discusses the Basel Accords and how they contributed to systemic risk. Finally, it presents an analysis of social-science expertise and the fallibility of economists and regulators. Engagingly written, theoretically inventive, yet empirically grounded, Engineering the Financial Crisis is a timely examination of the unintended—and sometimes disastrous—effects of regulation on complex economies. , Book2look: The state of the art online marketing tool for publishers and self-publishers: Make the point of discovery the point of sale. The unique look inside solution for your retail partners, authors and influencers. A book discovery tool for books in all Social Networks.
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"Fletcher and Gardner have created a comprehensive resource that will be of interest not only to those working in the field of finance, but also to those using numerical methods in other fields such as engineering, physics, and actuarial mathematics. By showing how to combine the high-level elegance, accessibility, and flexibility of Python, with the low-level computational efficiency of C++, in the context of interesting financial modeling problems, they have provided an implementation template which will be useful to others seeking to jointly optimize the use of computational and human resources. They document all the necessary technical details required in order to make external numerical libraries available from within Python, and they contribute a useful library of their own, which will significantly reduce the start-up costs involved in building financial models. This book is a must read for all those with a need to apply numerical methods in the valuation of financial claims." –David Louton, Professor of Finance, Bryant University This book is directed at both industry practitioners and students interested in designing a pricing and risk management framework for financial derivatives using the Python programming language. It is a practical book complete with working, tested code that guides the reader through the process of building a flexible, extensible pricing framework in Python. The pricing frameworks' loosely coupled fundamental components have been designed to facilitate the quick development of new models. Concrete applications to real-world pricing problems are also provided. Topics are introduced gradually, each building on the last. They include basic mathematical algorithms, common algorithms from numerical analysis, trade, market and event data model representations, lattice and simulation based pricing, and model development. The mathematics presented is kept simple and to the point. The book also provides a host of information on practical technical topics such as C++/Python hybrid development (embedding and extending) and techniques for integrating Python based programs with Microsoft Excel.
A financial analysis comprises the set of tools, frameworks, and methodologies to analyze the primary financial statements of companies to make internal (to make managerial decisions) and external (to determine the firm's value or context) assessments. Financial analysis helps determine the state of a company's valuation based on its main financial statements: balance sheet, income statement, and cash flow statement.
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Statistics for Finance: Texts in Statistical Science : Lindström, Erik, Madsen, Henrik, Nielsen, Jan Nygaard: Amazon.it: Libri
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