35 Results for : quants

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    brand eins audio: Extreme, Hörbuch, Digital, 269min
    Hören Sie in diesem Audiomagazin alle Beiträge zum Schwerpunktthema "Extreme". "Es ist ein alter Witz mit latenter Aktualität. Ein Mann fährt auf der Autobahn und hört im Radio die Durchsage: "Achtung! Ein Geisterfahrer auf der A1." Und der Mann schüttelt den Kopf und murmelt: "Einer? Hunderte!" So ist das oft, wenn Menschen in Außenseiterpositionen geraten oder sich selbst dorthin manövrieren. Sie sehen sich selbst auf der richtigen Seite, die anderen auf der falschen und interpretieren alles als Bestätigung der eigenen Position. "Aus dem Editorial von Chefredakteurin Gabriele Fischer Inhalt:Extremosan:Geschichte zur Behandlung oberflächlicher und fortgeschrittener Formen von Extremismus, Übertreibung, Dogmatismus und Fanatismus. Von Wolf LotterDer Anarcho-Bankier: Konrad Hummler ist: frech, lustig, kreativ. Von Lukas EgliMangel an Mitgefühl:Gewalt ist ein aufregendes Thema - bei dem Fakten und Fantasien munter durcheinandergehen. Von Thomas RamgeFressen und gefressen werden alles zu seinem Preis: Was der Menschenverstand Wucher nennt, nennt der Betriebswirt "Prämie". Von:Ingo MalcherSie sind einfach überall:Sie machen Geschäfte und brechen Kriege vom Zaun. Einfach so. Der englische Autor Jon Ronson wollte wissen: Gibt es Verschwörer? Ein Interview von Gerhard WaldherrSpielen mit Milliarden:Man nennt sie Quants oder auch Geeks: Physiker, Mathematiker oder Informatiker, die Formeln entwickeln, mit denen man an der Börse viel Geld verdienen kann.Von: Thomas Jahn An die Grenze gehen:Werber stehen beim Kampf um Aufmerksamkeit in der vordersten Linie. Eine Umfrage von Ralf Grauel deutsch. Anna Doubek, Klaus Lauer-Wilms. https://samples.audible.de/pe/brnd/080101/pe_brnd_080101_sample.mp3.
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    Pricing Models of Volatility Products and Exotic Variance Derivatives (eBook, ePUB)
    Pricing Models of Volatility Products and Exotic Variance Derivatives summarizes most of the recent research results in pricing models of derivatives on discrete realized variance and VIX. The book begins with the presentation of volatility trading and uses of variance derivatives. It then moves on to discuss the robust replication strategy of variance swaps using portfolio of options, which is one of the major milestones in pricing theory of variance derivatives. The replication procedure provides the theoretical foundation of the construction of VIX. This book provides sound arguments for formulating the pricing models of variance derivatives and establishes formal proofs of various technical results. Illustrative numerical examples are included to show accuracy and effectiveness of analytic and approximation methods. Features Useful for practitioners and quants in the financial industry who need to make choices between various pricing models of variance derivatives Fabulous resource for researchers interested in pricing and hedging issues of variance derivatives and VIX products Can be used as a university textbook in a topic course on pricing variance derivatives
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    • Price: 38.95 EUR excl. shipping
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    Pricing Models of Volatility Products and Exotic Variance Derivatives (eBook, PDF)
    Pricing Models of Volatility Products and Exotic Variance Derivatives summarizes most of the recent research results in pricing models of derivatives on discrete realized variance and VIX. The book begins with the presentation of volatility trading and uses of variance derivatives. It then moves on to discuss the robust replication strategy of variance swaps using portfolio of options, which is one of the major milestones in pricing theory of variance derivatives. The replication procedure provides the theoretical foundation of the construction of VIX. This book provides sound arguments for formulating the pricing models of variance derivatives and establishes formal proofs of various technical results. Illustrative numerical examples are included to show accuracy and effectiveness of analytic and approximation methods. Features Useful for practitioners and quants in the financial industry who need to make choices between various pricing models of variance derivatives Fabulous resource for researchers interested in pricing and hedging issues of variance derivatives and VIX products Can be used as a university textbook in a topic course on pricing variance derivatives
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    • Price: 38.95 EUR excl. shipping
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    The Skyscraper Curse: And How Austrian Economists Predicted Every Major Economic Crisis of the Last Century , Hörbuch, Digital, ungekürzt, 535min
    The Skyscraper Curse is Dr. Mark Thornton's definitive work on booms and busts, and it explains why only Austrian economists really understand them. It makes business cycle theory accessible to a whole new 21st-century audience. And they need it, especially those under 40. Many of the brilliant quants working on Wall Street and at the Fed barely remember the Crash of 2008, much less understand it. But Mark Thornton does, and his book is a warning about overheated equity markets, overinflated housing prices, and clueless central bankers. Given the shaky stock markets lately, 2018 may be the year the Fed’s latest bubble bursts. And when it does, it will be even more painful than 10 years ago. In fact, US household and business debt is now $1 trillion higher than in 2008. Mark is well known as an expert on bubbles and Fed malfeasance. His work appears in outlets like Wall Street Journal, Bloomberg, Forbes, The Economist, Barron’s, and Investor’s Business Daily. His now-infamous Skyscraper Index theory draws the connection between loose monetary policy, artificially low interest rates, and vanity construction projects. Put the three together and it doesn’t turn out well. And let’s not forget that Dr. Thornton was among only a handful of economists to warn about the dangerous housing bubble in 2004, and again in 2006. Cabbies and waiters bought up condos with no money down in places like Las Vegas. Prices rose 25 percent or more every year in some coastal markets. Even people with terrible credit financed houses at five or seven times their annual income. All of it was made possible by the Fed and its mania for low interest rates. So when the experts said, “Nobody could have seen this coming,” the Mises Institute had Mark’s articles and papers ready to go. The housing crash, and the meltdown in equity markets less than a year later, were thoroughly explained by Austrian business cycle theory. And Ma ungekürzt. Language: English. Narrator: Graham Wright. Audio sample: https://samples.audible.de/bk/acx0/125451/bk_acx0_125451_sample.mp3. Digital audiobook in aax.
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    A Man for All Markets: From Las Vegas to Wall Street, How I Beat the Dealer and the Market , Hörbuch, Digital, ungekürzt, 990min
    The incredible true story of the card-counting mathematics professor who taught the world how to beat the dealer and, as the first of the great quantitative investors, ushered in a revolution on Wall Street. A child of the Great Depression, legendary mathematician Edward O. Thorp invented card counting, proving the seemingly impossible: that you could beat the dealer at the blackjack table. As a result he launched a gambling renaissance. His remarkable success - and mathematically unassailable method - caused such an uproar that casinos altered the rules of the game to thwart him and the legions he inspired. They barred him from their premises, even put his life in jeopardy. Nonetheless, gambling was forever changed. Thereafter, Thorp shifted his sights to "the biggest casino in the world": Wall Street. Devising and then deploying mathematical formulas to beat the market, Thorp ushered in the era of quantitative finance we live in today. Along the way, the so-called godfather of the quants played bridge with Warren Buffett, crossed swords with a young Rudy Giuliani, detected the Bernie Madoff scheme, and, to beat the game of roulette, invented, with Claude Shannon, the world's first wearable computer. Here, for the first time, Thorp tells the story of what he did, how he did it, his passions and motivations, and the curiosity that has always driven him to disregard conventional wisdom and devise game-changing solutions to seemingly insoluble problems. An intellectual thrill ride, replete with practical wisdom that can guide us all in uncertain financial waters, A Man for All Markets is an instant classic - a book that challenges its readers to think logically about a seemingly irrational world.PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. ungekürzt. Language: English. Narrator: Edward O. Thorp. Audio sample: https://samples.audible.de/bk/rand/004914/bk_rand_004914_sample.mp3. Digital audiobook in aax.
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    Count the Dead: Coroners, Quants, and the Birth of Death as We Know It
    No description.
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    • Price: 21.99 EUR excl. shipping
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    Numerical Methods in Computational Finance: A Partial Differential Equation (Pde/Fdm) Approach
    This book is a detailed and step-by-step introduction to the mathematical foundations of ordinary and partial differential equations, their approximation by the finite difference method and applications to computational finance. The book is structured so that it can be read by beginners, novices and expert users.Part A Mathematical Foundation for One-Factor ProblemsChapters 1 to 7 introduce the mathematical and numerical analysis concepts that are needed to understand the finite difference method and its application to computational finance.Part B Mathematical Foundation for Two-Factor ProblemsChapters 8 to 13 discuss a number of rigorous mathematical techniques relating to elliptic and parabolic partial differential equations in two space variables. In particular, we develop strategies to preprocess and modify a PDE before we approximate it by the finite difference method, thus avoiding ad-hoc and heuristic tricks.Part C The Foundations of the Finite Difference Method (FDM)Chapters 14 to 17 introduce the mathematical background to the finite difference method for initial boundary value problems for parabolic PDEs. It encapsulates all the background information to construct stable and accurate finite difference schemes.Part D Advanced Finite Difference Schemes for Two-Factor ProblemsChapters 18 to 22 introduce a number of modern finite difference methods to approximate the solution of two factor partial differential equations. This is the only book we know of that discusses these methods in any detail.Part E Test Cases in Computational FinanceChapters 23 to 26 are concerned with applications based on previous chapters. We discuss finite difference schemes for a wide range of one-factor and two-factor problems.This book is suitable as an entry-level introduction as well as a detailed treatment of modern methods as used by industry quants and MSc/MFE students in finance. The topics have applications to numerical analysis, science and engineering.More on computational finance and the author's online courses, see www.datasim.nl.
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    • Price: 91.99 EUR excl. shipping
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    R for Everyone (eBook, ePUB)
    Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you'll need to accomplish 80 percent of modern data tasks. Lander's self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You'll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you'll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you'll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you're done, you won't just know how to write R programs, you'll be ready to tackle the statistical problems you care about most. Coverage includes Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R's facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.
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    • Price: 17.95 EUR excl. shipping
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    R in Action, Third Edition: Data Analysis and Graphics with R and Tidyverse
    R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R's steep learning curve with practical solutions and real-world applications for commercial environments. In R in Action, Third Edition you will learn how to: Set up and install R and RStudio Clean, manage, and analyze data with R Use the ggplot2 package for graphs and visualizations Solve data management problems using R functions Fit and interpret regression models Test hypotheses and estimate confidence Simplify complex multivariate data with principal components and exploratory factor analysis Make predictions using time series forecasting Create dynamic reports and stunning visualizations Techniques for debugging programs and creating packages R in Action, Third Edition makes learning R quick and easy. That's why thousands of data scientists have chosen this guide to help them master the powerful language. Far from being a dry academic tome, every example you'll encounter in this book is relevant to scientific and business developers, and helps you solve common data challenges. R expert Rob Kabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualizations. This revised and expanded third edition contains fresh coverage of the new tidyverse approach to data analysis and R's state-of-the-art graphing capabilities with the ggplot2 package. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Used daily by data scientists, researchers, and quants of all types, R is the gold standard for statistical data analysis. This free and open source language includes packages for everything from advanced data visualization to deep learning. Instantly comfortable for mathematically minded users, R easily handles practical problems without forcing you to think like a software engineer. About the book R in Action, Third Edition teaches you how to do statistical analysis and data visualization using R and its popular tidyverse packages. In it, you'll investigate real-world data challenges, including forecasting, data mining, and dynamic report writing. This revised third edition adds new coverage for graphing with ggplot2, along with examples for machine learning topics like clustering, classification, and time series analysis. What's inside Clean, manage, and analyze data Use the ggplot2 package for graphs and visualizations Techniques for debugging programs and creating packages A complete learning resource for R and tidyverse About the reader Requires basic math and statistics. No prior experience with R needed. About the author Dr. Robert I Kabacoff is a professor of quantitative analytics at Wesleyan University and a seasoned data scientist with more than 20 years of experience. Table of Contents PART 1 GETTING STARTED 1 Introduction to R 2 Creating a dataset 3 Basic data management 4 Getting started with graphs 5 Advanced data management PART 2 BASIC METHODS 6 Basic graphs 7 Basic statistics PART 3 INTERMEDIATE METHODS 8 Regression 9 Analysis of variance 10 Power analysis 11 Intermediate graphs 12 Resampling statistics and bootstrapping PART 4 ADVANCED METHODS 13 Generalized linear models 14 Principal components and factor analysis 15 Time series 16 Cluster analysis 17 Classification 18 Advanced methods for missing data PART 5 EXPANDING YOUR SKILLS 19 Advanced graphs 20 Advanced programming 21 Creating dynamic reports 22 Creating a package
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    • Price: 59.99 EUR excl. shipping
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    The Quants
    The Quants - The maths geniuses who brought down Wall Street: ab 9.49 €
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    • Price: 9.49 EUR excl. shipping

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