The new and updated material includes a critical examination of the ‘perfect-replication’ approach to derivatives pricing, with special attention given to exotic options; a thorough analysis of the role of quadratic variation in derivatives pricing and hedging; a discussion of the informational efficiency of markets in commonly-used calibration and hedging practices. Treatment of new models including Variance Gamma, displaced diffusion, stochastic volatility for interest-rate smiles and equity/FX options.
The book is split into four parts. Part I deals with a Black world without smiles, sets out the author’s ‘philosophical’ approach and covers deterministic volatility. Part II looks at smiles in equity and FX worlds. It begins with a review of relevant empirical information about smiles, and provides coverage of local-stochastic-volatility, general-stochastic-volatility, jump-diffusion and Variance-Gamma processes. Part II concludes with an important chapter that discusses if and to what extent one can dispense with an explicit specification of a model, and can directly prescribe the dynamics of the smile surface.
Part III focusses on interest rates when the volatility is deterministic. Part IV extends this setting in order to account for smiles in a financially motivated and computationally tractable manner. In this final part the author deals with CEV processes, with diffusive stochastic volatility and with Markov-chain processes.
Praise for the First Edition:
“In this book, Dr Rebonato brings his penetrating eye to bear on option pricing and hedging.… The book is a must-read for those who already know the basics of options and are looking for an edge in applying the more sophisticated approaches that have recently been developed.”
—Professor Ian Cooper, London Business School
“Volatility and correlation are at the very core of all option pricing and hedging. In this book, Riccardo Rebonato presents the subject in his characteristically elegant and simple fashion…A rare combination of intellectual insight and practical common sense.”
—Anthony Neuberger, London Business School
Based on the author's extensive work, research and presentations in the area, the book fills a gap in quantitative risk management by introducing a new and very intuitively appealing approach to stress testing based on expert judgement and Bayesian networks. It constitutes a radical departure from the traditional statistical methodologies based on Economic Capital or Extreme-Value-Theory approaches.
The book is split into four parts. Part I looks at stress testing and at its role in modern risk management. It discusses the distinctions between risk and uncertainty, the different types of probability that are used in risk management today and for which tasks they are best used. Stress testing is positioned as a bridge between the statistical areas where VaR can be effective and the domain of total Keynesian uncertainty. Part II lays down the quantitative foundations for the concepts described in the rest of the book. Part III takes readers through the application of the tools discussed in part II, and introduces two different systematic approaches to obtaining a coherent stress testing output that can satisfy the needs of industry users and regulators. In part IV the author addresses more practical questions such as embedding the suggestions of the book into a viable governance structure.
The authors take the SABR model as the starting point for their extension of the LMM because it is a good model for European options. The problem, however with SABR is that it treats each European option in isolation and the processes for the various underlyings (forward and swap rates) do not talk to each other so it isn't obvious how to relate these processes into the dynamics of the whole yield curve. With this new model, the authors bring the dynamics of the various forward rates and stochastic volatilities under a single umbrella. To ensure the absence of arbitrage they derive drift adjustments to be applied to both the forward rates and their volatilities. When this is completed, complex derivatives that depend on the joint realisation of all relevant forward rates can now be priced.
THE THEORETICAL SET-UP
The Libor Market model
The SABR Model
The LMM-SABR Model
IMPLEMENTATION AND CALIBRATION
Calibrating the LMM-SABR model to Market Caplet prices
Calibrating the LMM/SABR model to Market Swaption Prices
Calibrating the Correlation Structure
The Empirical problem
Estimating the volatility of the forward rates
Estimating the correlation structure
Estimating the volatility of the volatility
Hedging the Volatility Structure
Hedging the Correlation Structure
Hedging in conditions of market stress
Plight of the Fortune Tellers is a must-read for anyone concerned about how today's financial markets are run. In a new preface, Rebonato explains how the ideas presented in this book fit into the context of the global financial crisis that followed its original publication. He argues that risk managers are still stuck in a probabilistic rut, and need to engage with the structural causes of real events.
Rebonato forcefully argues that we must restore genuine decision making to our financial planning, and he shows us how to do it using probability, experimental psychology, and decision theory. This is the only way to effectively manage financial risk in a manner congruent with how human beings actually react to chance. Rebonato challenges us to rethink the standard wisdom about probability in financial-risk management. Risk managers have become obsessed with measuring risk and believe that these quantitative results by themselves can guide sound financial choices--but they can't. In this book, Rebonato offers a radical yet surprisingly commonsense solution, one that seeks to remind us that managing risk comes down to real people making decisions under uncertainty.
Plight of the Fortune Tellers is not only a book for the decision makers of Wall Street, it's a must-read for anyone concerned about how today's financial markets are run. The stakes have never been higher--can you risk it?
In this second edition of Frequently Asked Questions in Quantitative Finance I continue in my mission to pull quant finance up from the dumbed-down depths, and to drag it back down to earth from the super-sophisticated stratosphere. Readers of my work and blogs will know that I think both extremes are dangerous. Quant finance should inhabit the middle ground, the mathematics sweet spot, where the models are robust and understandable, and easy to mend.
…And that's what this book is about.
This book contains important FAQs and answers that cover both theory and practice. There are sections on how to derive Black-Scholes (a dozen different ways!), the popular models, equations, formulae and probability distributions, critical essays, brainteasers, and the commonest quant mistakes. The quant mistakes section alone is worth trillions of dollars!
I hope you enjoy this book, and that it shows you how interesting this important subject can be. And I hope you'll join me and others in this industry on the discussion forum on wilmott.com. See you there!”
FAQQF2...including key models, important formulae, popular contracts, essays and opinions, a history of quantitative finance, sundry lists, the commonest mistakes in quant finance, brainteasers, plenty of straight-talking, the Modellers' Manifesto and lots more.
In this book, author Daniel J. Duffy brings C++ to the next level by applying it to the design and implementation of classes, libraries and applications for option and derivative pricing models. He employs modern software engineering techniques to produce industrial-strength applications:Using the Standard Template Library (STL) in finance Creating your own template classes and functions Reusable data structures for vectors, matrices and tensors Classes for numerical analysis (numerical linear algebra ?) Solving the Black Scholes equations, exact and approximate solutions Implementing the Finite Difference Method in C++ Integration with the ?Gang of Four? Design Patterns Interfacing with Excel (output and Add-Ins) Financial engineering and XML Cash flow and yield curves
Included with the book is a CD containing the source code in the Datasim Financial Toolkit. You can use this to get up to speed with your C++ applications by reusing existing classes and libraries.
'Unique... Let's all give a warm welcome to modern pricing tools.'
-- Paul Wilmott, mathematician, author and fund manager
The increased interest in dynamic pricing models stems from their applicability to practical situations: with the freeing of exchange, interest rates, and capital controls, the market for derivative products has matured and pricing models have become more accurate. This updated edition has six new chapters and chapter-concluding exercises, plus one thoroughly expanded chapter. The text answers the need for a resource targeting professionals, Ph.D. students, and advanced MBA students who are specifically interested in financial derivatives.
This edition is also designed to become the main text in first year masters and Ph.D. programs for certain courses, and will continue to be an important manual for market professionals and professionals with mathematical, technical, or physics backgrounds.
Michael Lewis creates a fresh, character-driven narrative brimming with indignation and dark humor, a fitting sequel to his #1 bestseller Liar's Poker. Out of a handful of unlikely-really unlikely-heroes, Lewis fashions a story as compelling and unusual as any of his earlier bestsellers, proving yet again that he is the finest and funniest chronicler of our time.
Icelanders wanted to stop fishing and become investment bankers. The Greeks wanted to turn their country into a pinata stuffed with cash and allow as many citizens as possible to take a whack at it. The Germans wanted to be even more German; the Irish wanted to stop being Irish.
Michael Lewis's investigation of bubbles beyond our shores is so brilliantly, sadly hilarious that it leads the American reader to a comfortable complacency: oh, those foolish foreigners. But when he turns a merciless eye on California and Washington, DC, we see that the narrative is a trap baited with humor, and we understand the reckoning that awaits the greatest and greediest of debtor nations.
The Money Book for the Young, Fabulous & Broke is financial expert Suze Orman's answer to a generation's cry for help. They're called "Generation Debt" and "Generation Broke" by the media — people in their twenties and thirties who graduate college with a mountain of student loan debt and are stuck with one of the weakest job markets in recent history. The goals of their parents' generation — buy a house, support a family, send kids to college, retire in style — seem absurdly, depressingly out of reach. They live off their credit cards, may or may not have health insurance, and come up so far short at the end of the month that the idea of saving money is a joke. This generation has it tough, without a doubt, but they're also painfully aware of the urgent need to take matters into their own hands.
The Money Book was written to address the specific financial reality that faces young people today and offers a set of real, not impossible solutions to the problems at hand and the problems ahead. Concisely, pragmatically, and without a whiff of condescension, Suze Orman tells her young, fabulous & broke readers precisely what actions to take and why. Throughout these pages, there are icons that direct readers to a special YF&B domain on Suze's website that offers more specialized information, forms, and interactive tools that further customize the information in the book. Her advice at times bucks conventional wisdom (did she just say use your credit card?) and may even seem counter-intuitive (pay into a retirement fund even though your credit card debt is killing you?), but it's her honesty, understanding, and uncanny ability to anticipate the needs of her readers that has made her the most trusted financial expert of her day.
Over the course of ten chapters that can be consulted methodically, step-by-step or on a strictly need-to-know basis, Suze takes the reader past broke to a secure place where they'll never have to worry about revisiting broke again. And she begins the journey with a bit of overwhelmingly good news (yes, there really is good news): Young people have the greatest asset of all on their side — time.
Anyone can learn to invest wisely with this bestselling investment system!
Through every type of market, William J. O’Neil’s national bestseller, How to Make Money in Stocks, has shown over 2 million investors the secrets to building wealth. O’Neil’s powerful CAN SLIM® Investing System—a proven 7-step process for minimizing risk and maximizing gains—has influenced generations of investors.
Based on a major study of market winners from 1880 to 2009, this expanded edition gives you:Proven techniques for finding winning stocks before they make big price gains Tips on picking the best stocks, mutual funds, and ETFs to maximize your gains 100 new charts to help you spot today’s most profitable trends
PLUS strategies to help you avoid the 21 most common investor mistakes!
“I dedicated the 2004 Stock Trader’s Almanac to Bill O’Neil: ‘His foresight, innovation, and disciplined approach to stock market investing will influence investors and traders for generations to come.’”
—Yale Hirsch, publisher and editor, Stock Trader’s Almanac and author of Let’s Change the World Inc.
“Investor’s Business Daily has provided a quarter-century of great financial journalism and investing strategies.”
—David Callaway, editor-in-chief, MarketWatch
“How to Make Money in Stocks is a classic. Any investor serious about making money in the market ought to read it.”
—Larry Kudlow, host, CNBC’s "The Kudlow Report"
“[Taleb is] Wall Street’s principal dissident. . . . [Fooled By Randomness] is to conventional Wall Street wisdom approximately what Martin Luther’s ninety-nine theses were to the Catholic Church.”
–Malcolm Gladwell, The New Yorker
Finally in paperback, the word-of-mouth sensation that will change the way you think about the markets and the world.This book is about luck: more precisely how we perceive luck in our personal and professional experiences.
Set against the backdrop of the most conspicuous forum in which luck is mistaken for skill–the world of business–Fooled by Randomness is an irreverent, iconoclastic, eye-opening, and endlessly entertaining exploration of one of the least understood forces in all of our lives.
In the 3rd printing of the 2nd edition, the second Chapter on discrete-time markets has been extensively revised. Proofs of several results are simplified and completely new sections on optimal stopping problems and Dynkin games are added. Applications to the valuation and hedging of American-style and game options are presented in some detail.
The theme of stochastic volatility also reappears systematically in the second part of the book, which has been revised fundamentally, presenting much more detailed analyses of the various interest-rate models available: the authors' perspective throughout is that the choice of a model should be based on the reality of how a particular sector of the financial market functions, never neglecting to examine liquid primary and derivative assets and identifying the sources of trading risk associated. This long-awaited new edition of an outstandingly successful, well-established book, concentrating on the most pertinent and widely accepted modelling approaches, provides the reader with a text focused on practical rather than theoretical aspects of financial modelling.
Aimed at people with a solid quantitative background, this book will be of particular interest to risk managers, interest rate derivative traders, quantitative researchers, portfolio and fund managers, and students of mathematics and economics, but it will also prove invaluable to anyone looking for a good overview of interest rate derivative modelling.
Domingo Tavella is President of Octanti Associates, a consulting firm in risk management and financial systems design. He is the founder and chief editor of the Journal of Computational Finance and has pioneered the application of advanced numerical techniques in pricing and risk analysis in the financial and insurance industries. Tavella coauthored Pricing Financial Instruments: The Finite Difference Method. He holds a PhD in aeronautical engineering from Stanford University and an MBA in finance from the University of California at Berkeley.
This book develops the use of Monte Carlo methods in finance and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. It divides roughly into three parts. The first part develops the fundamentals of Monte Carlo methods, the foundations of derivatives pricing, and the implementation of several of the most important models used in financial engineering. The next part describes techniques for improving simulation accuracy and efficiency. The final third of the book addresses special topics: estimating price sensitivities, valuing American options, and measuring market risk and credit risk in financial portfolios.
The most important prerequisite is familiarity with the mathematical tools used to specify and analyze continuous-time models in finance, in particular the key ideas of stochastic calculus. Prior exposure to the basic principles of option pricing is useful but not essential.
The book is aimed at graduate students in financial engineering, researchers in Monte Carlo simulation, and practitioners implementing models in industry.
Mathematical Reviews, 2004: "... this book is very comprehensive, up-to-date and useful tool for those who are interested in implementing Monte Carlo methods in a financial context."
In this book we employ partial differential equations (PDE) to describe a range of one-factor and multi-factor derivatives products such as plain European and American options, multi-asset options, Asian options, interest rate options and real options. PDE techniques allow us to create a framework for modeling complex and interesting derivatives products. Having defined the PDE problem we then approximate it using the Finite Difference Method (FDM). This method has been used for many application areas such as fluid dynamics, heat transfer, semiconductor simulation and astrophysics, to name just a few. In this book we apply the same techniques to pricing real-life derivative products. We use both traditional (or well-known) methods as well as a number of advanced schemes that are making their way into the QF literature:Crank-Nicolson, exponentially fitted and higher-order schemes for one-factor and multi-factor options Early exercise features and approximation using front-fixing, penalty and variational methods Modelling stochastic volatility models using Splitting methods Critique of ADI and Crank-Nicolson schemes; when they work and when they don't work Modelling jumps using Partial Integro Differential Equations (PIDE) Free and moving boundary value problems in QF
Included with the book is a CD containing information on how to set up FDM algorithms, how to map these algorithms to C++ as well as several working programs for one-factor and two-factor models. We also provide source code so that you can customize the applications to suit your own needs.
Dr. Philipp J. Schönbucher is a professor at the Swiss Federal Institute of Technology (ETH), Zurich, and has degrees in mathematics from Oxford University and a PhD in economics from Bonn University. He has taught various training courses organized by ICM and CIFT, and lectured at risk conferences for practitioners on credit derivatives pricing, credit risk modeling, and implementation.
"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.
It is written in a clear, conversational style and requires no prior knowledge of either finance or financial analytics. The book begins by discussing the operation of the financial industry and the business models of different types of Wall Street firms, as well as the job roles those with technical backgrounds can fill in those firms. Then it describes the mechanics of how these firms make money trading the main financial markets (focusing on fixed income, but also covering equity, options and derivatives markets), and highlights the ways in which quantitative professionals can participate in this money-making process. The second half focuses on the main areas of Wall Street technology and explains how financial models and systems are created, implemented, and used in real life. This is one of the few books that offers a review of relevant literature and Internet resources.
Readers will be particularly intrigued by this latest edition's most significant new feature: a chapter on corporate securities that offers alternative approaches to the valuation of corporate debt. Also, while much of the continuous-time portion of the theory is based on Brownian motion, this third edition introduces jumps--for example, those associated with Poisson arrivals--in order to accommodate surprise events such as bond defaults. Applications include term-structure models, derivative valuation, and hedging methods. Numerical methods covered include Monte Carlo simulation and finite-difference solutions for partial differential equations. Each chapter provides extensive problem exercises and notes to the literature. A system of appendixes reviews the necessary mathematical concepts. And references have been updated throughout. With this new edition, Dynamic Asset Pricing Theory remains at the head of the field.
This volume explains ways to create financial tools and how the tools work together to achieve specific goals. Applications are illustrated using real-world examples. It presents three new chapters on financial engineering in topics ranging from commodity markets to financial engineering applications in hedge fund strategies, correlation swaps, structural models of default, capital structure arbitrage, contingent convertibles, and how to incorporate counterparty risk into derivatives pricing. Poised midway between intuition, actual events, and financial mathematics, this book can be used to solve problems in risk management, taxation, regulation, and above all, pricing.
This latest edition of Principles of Financial Engineering is ideal for financial engineers, quantitative analysts in banks and investment houses, and other financial industry professionals. It is also highly recommended to graduate students in financial engineering and financial mathematics programs.* The Second Edition presents 5 new chapters on structured product engineering, credit markets and instruments, and principle protection techniques, among other topics
* Additions, clarifications, and illustrations throughout the volume show these instruments at work instead of explaining how they should act
* The Solutions Manual enhances the text by presenting additional cases and solutions to exercises
An Introduction to Credit Risk Modeling supplies both the bricks and the mortar of risk management. In a gentle and concise lecture-note style, it introduces the fundamentals of credit risk management, provides a broad treatment of the related modeling theory and methods, and explores their application to credit portfolio securitization, credit risk in a trading portfolio, and credit derivatives risk. The presentation is thorough but refreshingly accessible, foregoing unnecessary technical details yet remaining mathematically precise.
Whether you are a risk manager looking for a more quantitative approach to credit risk or you are planning a move from the academic arena to a career in professional credit risk management, An Introduction to Credit Risk Modeling is the book you've been looking for. It will bring you quickly up to speed with information needed to resolve the questions and quandaries encountered in practice.
Puts into book format a series of major results due mostly to the authors of this book.
Embeds highest-level research results into a treatment amenable to graduate students, with introductory, explanatory background.
Awaited in the quantitative finance community.
Multivariate estimation methods are analyzed in depth, including non-parametric, maximum-likelihood under non-normal hypotheses, shrinkage, robust, and very general Bayesian techniques. Evaluation methods such as stochastic dominance, expected utility, value at risk and coherent measures are thoroughly discussed in a unified setting and applied in a variety of contexts, including prospect theory, total return and benchmark allocation.
Portfolio optimization is presented with emphasis on estimation risk, which is tackled by means of Bayesian, resampling and robust optimization techniques.
All the statistical and mathematical tools, such as copulas, location-dispersion ellipsoids, matrix-variate distributions, cone programming, are introduced from the basics. Comprehension is supported by a large number of figures and examples, as well as real trading and asset management case studies.
At symmys.com the reader will find freely downloadable complementary materials: the Exercise Book; a set of thoroughly documented MATLAB® applications; and the Technical Appendices with all the proofs. More materials and complete reviews can also be found at symmys.com.
For courses in business, economics, and financial engineering and mathematics.
The definitive guide to derivatives markets, updated with contemporary examples and discussionsKnown as “the bible” to business and economics professionals and a consistent best-seller, Options, Futures, and Other Derivatives gives readers a modern look at derivatives markets. By incorporating the industry’s hottest topics, such as the securitization and credit crisis, author John C. Hull helps bridge the gap between theory and practice. The 10th Edition covers all of the latest regulations and trends, including the Black-Scholes-Merton formulas, overnight indexed swaps, and the valuation of commodity derivatives.
This book introduces readers to the use of copula functions to represent the dynamics of financial assets and risk factors, integrated temporal and cross-section applications. The first part of the book will briefly introduce the standard the theory of copula functions, before examining the link between copulas and Markov processes. It will then introduce new techniques to design Markov processes that are suited to represent the dynamics of market risk factors and their co-movement, providing techniques to both estimate and simulate such dynamics. The second part of the book will show readers how to apply these methods to the evaluation of pricing of multivariate derivative contracts in the equity and credit markets. It will then move on to explore the applications of joint temporal and cross-section aggregation to the problem of risk integration.
From the author of The Blind Side and Moneyball, The Big Short tells the story of four outsiders in the world of high-finance who predict the credit and housing bubble collapse before anyone else. The film adaptation by Adam McKay (Anchorman I and II, The Other Guys) features Academy Award® winners Christian Bale, Brad Pitt, Melissa Leo and Marisa Tomei; Academy Award® nominees Steve Carell and Ryan Gosling.
When the crash of the U.S. stock market became public knowledge in the fall of 2008, it was already old news. The real crash, the silent crash, had taken place over the previous year, in bizarre feeder markets where the sun doesn’t shine and the SEC doesn’t dare, or bother, to tread. Who understood the risk inherent in the assumption of ever-rising real estate prices, a risk compounded daily by the creation of those arcane, artificial securities loosely based on piles of doubtful mortgages? In this fitting sequel to Liar’s Poker, Michael Lewis answers that question in a narrative brimming with indignation and dark humor.
Since its release in 2006, Financial Intelligence has become a favorite among managers who need a guided tour through the numbers—helping them to understand not only what the numbers really mean, but also why they matter.
This new, completely updated edition brings the numbers up to date and continues to teach the basics of finance to managers who need to use financial data to drive their business. It also addresses issues that have become even more important in recent years—including questions around the financial crisis and those around broader financial and accounting literacy.
Accessible, jargon-free, and filled with entertaining stories of real companies, Financial Intelligence gives nonfinancial managers the confidence to understand the nuance beyond the numbers—to help bring everyday work to a new level.
While the formula may be simple, understanding why the formula works is the true key to success for investors. The book will take readers on a step-by-step journey so that they can learn the principles of value investing in a way that will provide them with a long term strategy that they can understand and stick with through both good and bad periods for the stock market.
As the Wall Street Journal stated about the original edition, “Mr. Greenblatt…says his goal was to provide advice that, while sophisticated, could be understood and followed by his five children, ages 6 to 15. They are in luck. His ‘Little Book’ is one of the best, clearest guides to value investing out there.”
Ho, who worked at an investment bank herself, argues that bankers’ approaches to financial markets and corporate America are inseparable from the structures and strategies of their workplaces. Her ethnographic analysis of those workplaces is filled with the voices of stressed first-year associates, overworked and alienated analysts, undergraduates eager to be hired, and seasoned managing directors. Recruited from elite universities as “the best and the brightest,” investment bankers are socialized into a world of high risk and high reward. They are paid handsomely, with the understanding that they may be let go at any time. Their workplace culture and networks of privilege create the perception that job insecurity builds character, and employee liquidity results in smart, efficient business. Based on this culture of liquidity and compensation practices tied to profligate deal-making, Wall Street investment bankers reshape corporate America in their own image. Their mission is the creation of shareholder value, but Ho demonstrates that their practices and assumptions often produce crises instead. By connecting the values and actions of investment bankers to the construction of markets and the restructuring of U.S. corporations, Liquidated reveals the particular culture of Wall Street often obscured by triumphalist readings of capitalist globalization.
Wealthy, powerful, and potentially dangerous, hedge fund moguls have become the It Boys of twenty-first- century capitalism. Beating the market was long thought to be impossible, but hedge funds cracked its mysteries and made fortunes in the process. Drawing on his unprecedented access to the industry, esteemed financial writer Sebastian Mallaby tells the inside story of the hedge funds, from their origins in the 1960s to their role in the financial crisis of 2007 to 2009.
Read Sebastian Mallaby's new book, The Man Who Knew: The Life and Times of Alan Greenspan.
Drawing on their work training tens of thousands of people at leading organizations worldwide, the authors provide a deep understanding of the basics of financial management and measurement, along with hands-on activities to practice what you are reading. You'll discover:
Why the assumptions behind financial data matter
- What income statements, balance sheets, and cash flow statements really reveal
- How to use ratios to assess your venture's financial health
- How to calculate return on your investments in your enterprise
- Ways to use financial information to do your own job better
- How to instill financial intelligence throughout your team
Authoritative and accessible, Financial Intelligence for Entrepreneurs empowers you to "talk numbers" confidently with colleagues, partners, and employees-- and fully understand how to use financial data to make better decisions for your business.
One of The Economist's 2011 Books of the Year
The New York Times's Pulitzer Prize-winning columnist reveals how the financial meltdown emerged from the toxic interplay of Washington, Wall Street, and corrupt mortgage lenders
In Reckless Endangerment, Gretchen Morgenson, the star business columnist of The New York Times, exposes how the watchdogs who were supposed to protect the country from financial harm were actually complicit in the actions that finally blew up the American economy.
Drawing on previously untapped sources and building on original research from coauthor Joshua Rosner—who himself raised early warnings with the public and investors, and kept detailed records—Morgenson connects the dots that led to this fiasco.
Morgenson and Rosner draw back the curtain on Fannie Mae, the mortgage-finance giant that grew, with the support of the Clinton administration, through the 1990s, becoming a major opponent of government oversight even as it was benefiting from public subsidies. They expose the role played not only by Fannie Mae executives but also by enablers at Countrywide Financial, Goldman Sachs, the Federal Reserve, HUD, Congress, the FDIC, and the biggest players on Wall Street, to show how greed, aggression, and fear led countless officials to ignore warning signs of an imminent disaster.
Character-rich and definitive in its analysis, this is the one account of the financial crisis you must read.
The book adopts a step-by-step approach to understanding the more sophisticated aspects of Excel macros and VBA programming, showing how these programming techniques can be used to model and manipulate financial data, as applied to equities, bonds and options. The book is essential for financial practitioners who need to develop their financial modelling skill sets as there is an increase in the need to analyse and develop ever more complex 'what if' scenarios.Specifically applies Excel and VBA to the financial markets Packaged with a CD containing the software from the examples throughout the book
Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
The collapse of the Galleon Group--a hedge fund that managed more than $7 billion in assets--from criminal charges of insider trading was a sensational case that pitted prosecutor Preet Bharara, himself the son of Indian immigrants, against the best and brightest of the South Asian business community. At the center of the case was self-described King of Kings, Galleon's founder Raj Rajaratnam, a Sri-Lankan-born, Wharton-educated billionaire. But the most shocking allegation was that the éminence grise of Indian business, Rajat Gupta, was Rajaratnam's accomplice and mole. If not for Gupta's nose-to-the-grindstone rise to head up McKinsey & Co and a position on the Goldman Sachs board, men like Rajaratnam would have never made it to the top of America's moneyed elite.
Author Anita Raghavan criss-crosses the globe from Wall Street boardrooms to Delhi's Indian Institute of Technology as she uncovers the secrets of this subculture--an incredible tale of triumph, temptation and tragedy.
You don't have to be a financial expert to make great money in the stock market. You just need to know the basics of the market, when to invest, and how to avoid being an easy mark for more sophisticated investors.
Understanding Stocks, Second Edition, contains all the key material that made the first edition so popular—plus critical new information you need to succeed in a highly transformed investing landscape.
This go-to guide shows how to do everything from opening an account to making informed decisions when evaluating stocks and trading. Brand-new material covers:Short selling Commodities and bonds Fundamental and technical analysis Market indicators ETFs High-frequency trading
Containing new interviews with successful traders who reveal all their secrets, Understanding Stocks puts you on the path to stock market success by showing how to keep from losing your money before it's been given a chance to truly work for you.
Trillions of dollars in assets and fundamental political power are changing hands as free markets wrest control from government of the "commanding heights" -- the dominant businesses and industries of the world economy. Daniel Yergin and Joseph Stanislaw demonstrate that words like "privatization" and "deregulation" are inadequate to describe the enormous upheaval that is unfolding before our eyes. Along with the creation of vast new wealth, the map of the global economy is being redrawn. Indeed, the very structure of society is changing. New markets and new opportunities have brought great new risks as well. How has all this come about? Who are the major figures behind it? How does it affect our lives?
The collapse of the Soviet Union, the awesome rise of China, the awakening of India, economic revival in Latin America, the march toward the European Union -- all are a part of this political and economic revolution. Fiscal realities and financial markets are relentlessly propelling deregulation; achieving a new balance between government and marketplace will be the major political challenge in the coming years. Looking back, the authors describe how the old balance was overturned, and by whom. Looking forward, they explore these questions: Will the new balance prevail? Or does the free market contain the seeds of its own destruction? Will there be a backlash against any excesses of the free market? And finally, The Commanding Heights illuminates the five tests by which the success or failure of all these changes can be measured, and defines the key issues as we enter the twenty-first century.
The Commanding Heights captures this revolution in ideas in riveting accounts of the history and the politics of the postwar years and compelling tales of the astute politicians, brilliant thinkers, and tenacious businessmen who brought these changes about. Margaret Thatcher, Donald Reagan, Deng Xiaoping, and Bill Clinton share the stage with the "Minister of Thought" Keith Joseph, the broommaker's son Domingo Cavallo, and Friedrich von Hayek, the Austrian economist who was determined to win the twenty-year "battle of ideas." It is a complex and wide-ranging story, and the authors tell it brilliantly, with a deep understanding of human character, making critically important ideas lucid and accessible. Written with unique access to many of the key players, The Commanding Heights, like no other book, brings us an understanding of the last half of the twentieth century -- and sheds a powerful light on what lies ahead in the twenty-first century.
Regarded as one of the pioneers of modern investment theory, Philip A. Fisher's investment principles are studied and used by contemporary finance professionals including Warren Buffett. Fisher was the first to consider a stock's worth in terms of potential growth instead of just price trends and absolute value. His principles espouse identifying long-term growth stocks and their emerging value as opposed to choosing short-term trades for initial profit. Now, for the first time ever, Philip Fisher Investment Classics brings together four classic titles, written by the man who is know as the "Father of Growth Investing."Common Stocks and Uncommon Profits was the first investing book to reach the New York Times bestseller list. Outlining a 15-step process for identifying profitable stocks, it is one of the most influential investing books of all time Paths to Wealth Through Common Stocks, expands the innovative ideas in Fisher's highly regarded Common Stocks and Uncommon Profits, and explores how profits have been, and will continue to be made, through common stock ownership—asserting why this method can increase profits and reduce risk Also included is Conservative Investors Sleep Well and Developing an Investment Philosophy
Designed with the serious investor in mind, Philip Fisher Investment Classics puts the insights of one of the greatest investment minds of our time at your fingertips.
How do the world's most successful traders amass tens, hundreds of millions of dollars a year? Are they masters of an occult knowledge, lucky winners in a random market lottery, natural-born virtuosi—Mozarts of the markets? In search of an answer, bestselling author Jack D. Schwager interviewed dozens of top traders across most financial markets. While their responses differed in the details, all of them could be boiled down to the same essential formula: solid methodology + proper mental attitude = trading success. In Market Wizards Schwager lets you hear, in their own words, what those super-traders had to say about their unprecedented successes, and he distils their responses down into a set of guiding principles you can use to become a trading star in your own right.Features interviews with superstar money-makers including Bruce Kovner, Richard Dennis, Paul Tudor Jones, Michel Steinhardt, Ed Seykota, Marty Schwartz, Tom Baldwin, and more Tells the true stories behind sensational trading coups, including the one about the trader who turned $30,000 into $80 million, the hedge fund manager who's averaged 30% returns every year for the past twenty-one years, and the T-bond futures trader who parlayed $25,000 into $2 billion in a single day!
"Market Wizards is one of the most fascinating books ever written about Wall Street. A few of the 'Wizards' are my friends—and Jack Schwager has nailed their modus operandi on the head."
--Martin W. Zweig, Ph.D., Editor, The Zweig Forecast
Candlestick charting is more popular than ever before, with a legion of new traders and investors being introduced to the concept by some of today’s hottest investment gurus. Having introduced the candlestick technique to the West through two of his bestselling books, Steve Nison is regarded as a luminary in the field of candlestick charting. In his new venture, The Candlestick Course, Nison explains patterns of varying complexity and tests the reader’s knowledge with quizzes, Q&As, and intensive examples. In accessible and easy-to-understand language, this book offers expert instruction on the practical applications of candlestick charting to give every level of investor a complete understanding of this proven, profitable, and time-tested investing technique. Straightforward answers quickly clarify this easy-to-use charting method. This guide will allow readers to recognize and implement various candlestick patterns and lines in today’s real-world trading environment–giving them a noticeable edge in their trading activities
Jim Rogers, whose entertaining accounts of his travels around the world--studying the markets from Russia to Singapore from the ground up--has enthralled readers, investors and Wall Street aficionados for decades. In his engaging memoir Street Smarts, Rogers offers pithy commentary from a lifetime of adventure, from his early years growing up a naïve kid in Demopolis, Alabama, to his fledgling career on Wall Street, to his cofounding of the wildly successful Quantum Fund.
In Street Smarts, Rogers takes us through the highlights of his life in the financial markets, from his school days at Yale and Oxford--where despite the fact that he didn’t have enough money to afford the appropriate pair of shoes, he coxed the crew and helped to win the Oxford-Cambridge Boat Race as well as the Thames Cup, the first of his three Guiness World Records--to his first heady taste of Wall Street in the mid-1960s, and his years helping to run the most successful hedge fund on Wall Street.
In the course of his new book, Rogers offers often surprising observations on how the world works–-and what trends he sees in the future. The age of Wall Street, Rogers claims, when the finance industry drove 25% of America’s growth, is over. Tomorrow’s economy will be driven by those who make things--food, energy, goods and consumables. He explains why Asia will be the dominant economic force in the twenty-first century, and discusses why America and the European Union are in decline, and what we need to do to right our economy and society.
How to Get Rich is different from any other book on the subject because Dennis isn't selling snake oil, investment tips, or motivational claptrap. He merely wants to help people embrace entrepreneurship, and to share lessons he learned the hard way. He reveals, for example, why a regular paycheck is like crack cocaine; why great ideas are vastly overrated; and why "ownership isn't the important thing, it's the only thing."
John Malcolm was the ultimate gunslinger in the Wild East, prepared to take on any level of risk in making mind-boggling sums of money. He and his friends were hedge-fund cowboys, living life on the adrenaline-, sex-, and drugs-fueled edge—kids running billion-dollar portfolios, trading information in the back rooms of high-class brothels and at VIP tables in nightclubs across the Far East.
Malcolm and his Ivy League-schooled twenty-something colleagues, with their warped sense of morality, created their own economic theory that would culminate in a single deal the likes of which had never been seen before—or since.
Ugly Americans is a story of extremes, charged with wealth, nerve, excess, and glamour. A real-life mixture of Liar's Poker and Wall Street, brimming with intense action, romance, underground sex, vivid locales, and exotic characters, Ugly Americans is the untold true story that rocked the financial community.
—Dwight B. Crane, Baker Foundation Professor, Harvard Business School
"Bruner and Carr provide a thorough, masterly, and highly readable account of the 1907 crisis and its management by the great private banker J. P. Morgan. Congress heeded the lessons of 1907, launching the Federal Reserve System in 1913 to prevent banking panics and foster financial stability. We still have financial problems. But because of 1907 and Morgan, a century later we have a respected central bank as well as greater confidence in our money and our banks than our great-grandparents had in theirs."
—Richard Sylla, Henry Kaufman Professor of the History of Financial Institutions and Markets, and Professor of Economics, Stern School of Business, New York University
"A fascinating portrayal of the events and personalities of the crisis and panic of 1907. Lessons learned and parallels to the present have great relevance. Crises and panics are as much a part of our future as our past."
—John Strangfeld, Vice Chairman, Prudential Financial
"Who would have thought that a hundred years after the Panic of 1907 so much remained to be written about it? Bruner and Carr break significant new ground because they are willing to do the heavy lifting of combing through massive archival material to identify and weave together important facts. Their book will be of interest not only to banking theorists and financial historians, but also to business school and economics students, for its rare ability to teach so clearly why and how a panic unfolds."
—Charles Calomiris, Henry Kaufman Professor of Financial Institutions, Columbia University, Graduate School of Business