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This book teaches financial engineering in an innovative way: by providing tools and a point of view to quickly and easily solve real front-office problems. Projects and simulations are not just exercises in this book, but its heart and soul. You will not only learn how to do state-of-the-art simulations and build exotic derivatives valuation models, you will also learn how to quickly make reasonable inferences based on incomplete information. This book will give you the expertise to make significant progress in understanding brand new derivatives given only a preliminary term sheet, thus making you extraordinarily valuable to banks, brokerage houses, trading floors, and hedge funds.Financial Hacking is not about long, detailed mathematical proofs or brief summaries of conventional financial theories; it is about engineering specific, useable answers to imprecise but important questions. It is an essential book both for students and for practitioners of financial engineering.MBAs in finance learn case-method and standard finance mainly by talking. Mathematical finance students learn the elegance and beauty of formulas mainly by manipulating symbols. But financial engineers need to learn how to build useful tools, and the best way to do that is to actually build them in a test environment, with only hypothetical profits or losses at stake. That's what this book does. It is like a trading desk sandbox that prepares graduate students or others looking to move closer to trading operations.
The challenges of the current financial environment have revealed the need for a new generation of professionals who combine training in traditional finance disciplines with an understanding of sophisticated quantitative and analytical tools. Risk Management and Simulation shows how simulation modeling and analysis can help you solve risk managemen
Praise for How I Became a Quant "Led by two top-notch quants, Richard R. Lindsey and Barry Schachter, How I Became a Quant details the quirky world of quantitative analysis through stories told by some of today's most successful quants. For anyone who might have thought otherwise, there are engaging personalities behind all that number crunching!" --Ira Kawaller, Kawaller & Co. and the Kawaller Fund "A fun and fascinating read. This book tells the story of how academics, physicists, mathematicians, and other scientists became professional investors managing billions." --David A. Krell, President and CEO, International Securities Exchange "How I Became a Quant should be must reading for all students with a quantitative aptitude. It provides fascinating examples of the dynamic career opportunities potentially open to anyone with the skills and passion for quantitative analysis." --Roy D. Henriksson, Chief Investment Officer, Advanced Portfolio Management "Quants"--those who design and implement mathematical models for the pricing of derivatives, assessment of risk, or prediction of market movements--are the backbone of today's investment industry. As the greater volatility of current financial markets has driven investors to seek shelter from increasing uncertainty, the quant revolution has given people the opportunity to avoid unwanted financial risk by literally trading it away, or more specifically, paying someone else to take on the unwanted risk. How I Became a Quant reveals the faces behind the quant revolution, offering you?the?chance to learn firsthand what it's like to be a?quant today. In this fascinating collection of Wall Street war stories, more than two dozen quants detail their roots, roles, and contributions, explaining what they do and how they do it, as well as outlining the sometimes unexpected paths they have followed from the halls of academia to the front lines of an investment revolution.
This book, written jointly by an engineer and artificial intelligence expert along with a lawyer and banker, is a glimpse on what the future of the financial services will look like and the impact it will have on society. The first half of the book provides a detailed yet easy to understand educational and technical overview of FinTech, artificial intelligence and cryptocurrencies including the existing industry pain points and the new technological enablers. The second half provides a practical, concise and engaging overview of their latest trends and their impact on the future of the financial services industry including numerous use cases and practical examples. The book is a must read for any professional currently working in finance, any student studying the topic or anyone curious on how the future of finance will look like.
Popular anger against bankers and financial speculators has never been greater, yet the practical workings of the system remain opaque to many people. The Heretic's Guide to Global Finance aims to bridge the gap between protest slogans and practical proposals for reform. As a stockbroker turned campaigner, Brett Scott has a unique understanding of life inside and outside the system. The Heretic's Guide to Global Finance is a practical handbook for campaigners, academics and students who wish to deepen their understanding of the inner workings of the financial sector. It shows how financial knowledge can be used to build effective social and environmental campaigns. Scott covers topics frequently overlooked, such as the cultural aspects of the financial sector, and considers major issues such as agricultural speculation, carbon markets and tar sands financing. The book shows how activists can use the internal dynamics of the sector to reform it and showcases the growing alternative finance movement.
In An Engine, Not a Camera, Donald MacKenzie argues that the emergence of modern economic theories of finance affected financial markets in fundamental ways. These new, Nobel Prize-winning theories, based on elegant mathematical models of markets, were not simply external analyses but intrinsic parts of economic processes. Paraphrasing Milton Friedman, MacKenzie says that economic models are an engine of inquiry rather than a camera to reproduce empirical facts. More than that, the emergence of an authoritative theory of financial markets altered those markets fundamentally. For example, in 1970, there was almost no trading in financial derivatives such as "futures." By June of 2004, derivatives contracts totaling $273 trillion were outstanding worldwide. MacKenzie suggests that this growth could never have happened without the development of theories that gave derivatives legitimacy and explained their complexities. MacKenzie examines the role played by finance theory in the two most serious crises to hit the world's financial markets in recent years: the stock market crash of 1987 and the market turmoil that engulfed the hedge fund Long-Term Capital Management in 1998. He also looks at finance theory that is somewhat beyond the mainstream—chaos theorist Benoit Mandelbrot's model of "wild" randomness. MacKenzie's pioneering work in the social studies of finance will interest anyone who wants to understand how America's financial markets have grown into their current form.
Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.
This book analyzes in depth all major derivatives debacles of the last half century including the multi-billion losses and/or bankruptcy of Metallgesellschaft (1994), Barings Bank (1995), Long Term Capital Management (1998), Amaranth (2006), Société Générale (2008) and AIG (2008). It unlocks the secrets of derivatives by telling the stories of institutions which played in the derivative market and lost big. For some of these unfortunate organizations it was daring but flawed financial engineering which brought them havoc. For others it was unbridled speculation perpetrated by rogue traders whose unchecked fraud brought their house down.Should derivatives be feared “as financial weapons of mass destruction” or hailed as financial innovations which through efficient risk transfer are truly adding to the Wealth of Nations? By presenting a factual analysis of how the malpractice of derivatives played havoc with derivative end-user and dealer institutions, a case is made for vigilance not only to market and counter-party risk but also operational risk in their use for risk management and proprietary trading. Clear and recurring lessons across the different stories call not only for a tighter but also “smarter” control system of derivatives trading and should be of immediate interest to financial managers, bankers, traders, auditors and regulators who are directly or indirectly exposed to financial derivatives.The book groups cases by derivative category, starting with the simplest and building up to the most complex — namely, Forwards, Futures, Options and Swaps in that order, with applications in commodities, foreign exchange, stock indices and interest rates. Each chapter deals with one derivative debacle, providing a rigorous and comprehensive but non-technical elucidation of what happened.The book is translated and available in French, Russian, Simplified Chinese and Korean.
This book is a collection of papers for the Special Issue “Quantitative Methods for Economics and Finance” of the journal Mathematics. This Special Issue reflects on the latest developments in different fields of economics and finance where mathematics plays a significant role. The book gathers 19 papers on topics such as volatility clusters and volatility dynamic, forecasting, stocks, indexes, cryptocurrencies and commodities, trade agreements, the relationship between volume and price, trading strategies, efficiency, regression, utility models, fraud prediction, or intertemporal choice.