Download or read book Experiments in Quantitative Finance written by Joel Gibbons and published by Routledge. This book was released on 2017-07-28 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a novel approach to characterizing markets in quantitative terms. The examples cut across the world of interest rates, price of gold, stock market and corporate worlds that the stock market rests on, and the pricing of options on financial instruments. The emphasis is on methods of inquiry, methods that can just as easily be applied to other markets and other economic phenomena as well. The goal is to make the methods available to the widest possible audience of quantitative analysts and to the trading desks and investment plans they feed.Quantitative research and modeling in finance and economics have a long history going back to Frank Ramsey, mathematician, logician, and economist, who pioneered the application of dynamic models in economics in the 1920s, and to his theory of the Ramsey Tax, which is a rule for apportioning tax rates in a way that raises the maximum tax revenues while impacting the decisions of taxpayers as little as possible. The opposite would be a tax so inefficient that it causes people to avoid doing whatever it is that subjects them to the tax.These experiments yield valuable insight into economic affairs, but they are only a stepping-stone for others—a starting point for discovery. Foremost among them is locating usable statistical findings to the investment world. Gibbons' intention is not to provide investment advice, it is to provide education. These data are subject to changing results, but that should not diminish their educational value. This is a proactive fusion of business economics and sound social science methods.
Download or read book Experiments in Quantitative Finance written by Joel Gibbons and published by Routledge. This book was released on 2017-07-28 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a novel approach to characterizing markets in quantitative terms. The examples cut across the world of interest rates, price of gold, stock market and corporate worlds that the stock market rests on, and the pricing of options on financial instruments. The emphasis is on methods of inquiry, methods that can just as easily be applied to other markets and other economic phenomena as well. The goal is to make the methods available to the widest possible audience of quantitative analysts and to the trading desks and investment plans they feed.Quantitative research and modeling in finance and economics have a long history going back to Frank Ramsey, mathematician, logician, and economist, who pioneered the application of dynamic models in economics in the 1920s, and to his theory of the Ramsey Tax, which is a rule for apportioning tax rates in a way that raises the maximum tax revenues while impacting the decisions of taxpayers as little as possible. The opposite would be a tax so inefficient that it causes people to avoid doing whatever it is that subjects them to the tax.These experiments yield valuable insight into economic affairs, but they are only a stepping-stone for others—a starting point for discovery. Foremost among them is locating usable statistical findings to the investment world. Gibbons' intention is not to provide investment advice, it is to provide education. These data are subject to changing results, but that should not diminish their educational value. This is a proactive fusion of business economics and sound social science methods.
Download or read book Experiments in Financial Economics written by R. Mark Isaac and published by Emerald Group Publishing. This book was released on 2013-12-06 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research in Experimental Economics is a series of edited research volumes focused on laboratory experimental economics, first published in 1979 with founding editor Vernon L. Smith. Volume 16 of the series focuses around the themes of experiments in financial economics.
Download or read book Machine Learning and Data Science Blueprints for Finance written by Hariom Tatsat and published by "O'Reilly Media, Inc.". This book was released on 2020-10-01 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You’ll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations
Download or read book Quantitative Finance written by Maria C. Mariani and published by John Wiley & Sons. This book was released on 2019-11-06 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a multitude of topics relevant to the quantitative finance community by combining the best of the theory with the usefulness of applications Written by accomplished teachers and researchers in the field, this book presents quantitative finance theory through applications to specific practical problems and comes with accompanying coding techniques in R and MATLAB, and some generic pseudo-algorithms to modern finance. It also offers over 300 examples and exercises that are appropriate for the beginning student as well as the practitioner in the field. The Quantitative Finance book is divided into four parts. Part One begins by providing readers with the theoretical backdrop needed from probability and stochastic processes. We also present some useful finance concepts used throughout the book. In part two of the book we present the classical Black-Scholes-Merton model in a uniquely accessible and understandable way. Implied volatility as well as local volatility surfaces are also discussed. Next, solutions to Partial Differential Equations (PDE), wavelets and Fourier transforms are presented. Several methodologies for pricing options namely, tree methods, finite difference method and Monte Carlo simulation methods are also discussed. We conclude this part with a discussion on stochastic differential equations (SDE’s). In the third part of this book, several new and advanced models from current literature such as general Lvy processes, nonlinear PDE's for stochastic volatility models in a transaction fee market, PDE's in a jump-diffusion with stochastic volatility models and factor and copulas models are discussed. In part four of the book, we conclude with a solid presentation of the typical topics in fixed income securities and derivatives. We discuss models for pricing bonds market, marketable securities, credit default swaps (CDS) and securitizations. Classroom-tested over a three-year period with the input of students and experienced practitioners Emphasizes the volatility of financial analyses and interpretations Weaves theory with application throughout the book Utilizes R and MATLAB software programs Presents pseudo-algorithms for readers who do not have access to any particular programming system Supplemented with extensive author-maintained web site that includes helpful teaching hints, data sets, software programs, and additional content Quantitative Finance is an ideal textbook for upper-undergraduate and beginning graduate students in statistics, financial engineering, quantitative finance, and mathematical finance programs. It will also appeal to practitioners in the same fields.
Download or read book Experiments in Finance a Survey of Historical Trends written by Christoph Huber and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experiments can complement other methods in identifying causal relationships and in measuring behavioral deviations from theoretical predictions. While the experimental method has long been central in many scientific disciplines, it was almost nonexistent in finance until the 1980s. To survey the development of experiments in finance, we compile a comprehensive account of experimental studies published in the Journal of Finance, Journal of Financial Economics, Review of Financial Studies, Review of Finance, Journal of Quantitative and Financial Analysis, and Journal of Banking and Finance-as well as of experimental finance studies published in the Top 5 journals in economics. With this novel dataset, we identify historical trends in experimental finance. Since the first experiments where published in finance journals in the 1980s, and especially in the last 20 years, the share of experimental publications in these journals has increased strongly. We report trends towards descriptive experiments, individual decision experiments, and field experiments.
Download or read book Quantitative Finance For Dummies written by Steve Bell and published by John Wiley & Sons. This book was released on 2016-06-07 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible, thorough introduction to quantitative finance Does the complex world of quantitative finance make you quiver?You're not alone! It's a tough subject for even high-levelfinancial gurus to grasp, but Quantitative Finance ForDummies offers plain-English guidance on making sense ofapplying mathematics to investing decisions. With this completeguide, you'll gain a solid understanding of futures, options andrisk, and get up-to-speed on the most popular equations, methods,formulas and models (such as the Black-Scholes model) that areapplied in quantitative finance. Also known as mathematical finance, quantitative finance is thefield of mathematics applied to financial markets. It's a highlytechnical discipline—but almost all investment companies andhedge funds use quantitative methods. This fun and friendly guidebreaks the subject of quantitative finance down to easilydigestible parts, making it approachable for personal investors andfinance students alike. With the help of Quantitative FinanceFor Dummies, you'll learn the mathematical skills necessary forsuccess with quantitative finance, the most up-to-date portfolioand risk management applications and everything you need to knowabout basic derivatives pricing. Covers the core models, formulas and methods used inquantitative finance Includes examples and brief exercises to help augment yourunderstanding of QF Provides an easy-to-follow introduction to the complex world ofquantitative finance Explains how QF methods are used to define the current marketvalue of a derivative security Whether you're an aspiring quant or a top-tier personalinvestor, Quantitative Finance For Dummies is your go-toguide for coming to grips with QF/risk management.
Download or read book Modern Computational Finance written by Antoine Savine and published by John Wiley & Sons. This book was released on 2018-11-20 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Arguably the strongest addition to numerical finance of the past decade, Algorithmic Adjoint Differentiation (AAD) is the technology implemented in modern financial software to produce thousands of accurate risk sensitivities, within seconds, on light hardware. AAD recently became a centerpiece of modern financial systems and a key skill for all quantitative analysts, developers, risk professionals or anyone involved with derivatives. It is increasingly taught in Masters and PhD programs in finance. Danske Bank's wide scale implementation of AAD in its production and regulatory systems won the In-House System of the Year 2015 Risk award. The Modern Computational Finance books, written by three of the very people who designed Danske Bank's systems, offer a unique insight into the modern implementation of financial models. The volumes combine financial modelling, mathematics and programming to resolve real life financial problems and produce effective derivatives software. This volume is a complete, self-contained learning reference for AAD, and its application in finance. AAD is explained in deep detail throughout chapters that gently lead readers from the theoretical foundations to the most delicate areas of an efficient implementation, such as memory management, parallel implementation and acceleration with expression templates. The book comes with professional source code in C++, including an efficient, up to date implementation of AAD and a generic parallel simulation library. Modern C++, high performance parallel programming and interfacing C++ with Excel are also covered. The book builds the code step-by-step, while the code illustrates the concepts and notions developed in the book.
Download or read book Handbook of Quantitative Finance and Risk Management written by Cheng-Few Lee and published by Springer Science & Business Media. This book was released on 2010-06-14 with total page 1700 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This two-volume handbook, comprised of over 100 chapters, is the most comprehensive resource in the field to date, integrating the most current theory, methodology, policy, and practical applications. Showcasing contributions from an international array of experts, the Handbook of Quantitative Finance and Risk Management is unparalleled in the breadth and depth of its coverage. Volume 1 presents an overview of quantitative finance and risk management research, covering the essential theories, policies, and empirical methodologies used in the field. Chapters provide in-depth discussion of portfolio theory and investment analysis. Volume 2 covers options and option pricing theory and risk management. Volume 3 presents a wide variety of models and analytical tools. Throughout, the handbook offers illustrative case examples, worked equations, and extensive references; additional features include chapter abstracts, keywords, and author and subject indices. From "arbitrage" to "yield spreads," the Handbook of Quantitative Finance and Risk Management will serve as an essential resource for academics, educators, students, policymakers, and practitioners.
Download or read book Quant Job Interview Questions and Answers written by Mark Joshi and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quant job market has never been tougher. Extensive preparation is essential. Expanding on the successful first edition, this second edition has been updated to reflect the latest questions asked. It now provides over 300 interview questions taken from actual interviews in the City and Wall Street. Each question comes with a full detailed solution, discussion of what the interviewer is seeking and possible follow-up questions. Topics covered include option pricing, probability, mathematics, numerical algorithms and C++, as well as a discussion of the interview process and the non-technical interview. All three authors have worked as quants and they have done many interviews from both sides of the desk. Mark Joshi has written many papers and books including the very successful introductory textbook, "The Concepts and Practice of Mathematical Finance."
Download or read book Handbook of Experimental Finance written by Füllbrunn, Sascha and published by Edward Elgar Publishing. This book was released on 2022-10-13 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: With an in-depth overview of the past, present and future of the field, The Handbook of Experimental Finance provides a comprehensive analysis of the current topics, methodologies, findings, and breakthroughs in research conducted with the help of experimental finance methodology. Leading experts suggest innovative ways of designing, implementing, analyzing, and interpreting finance experiments.
Download or read book Data Analysis Using the Method of Least Squares written by John Wolberg and published by Springer Science & Business Media. This book was released on 2006-02-08 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develops the full power of the least-squares method Enables engineers and scientists to apply the method to their specific problem Deals with linear as well as with non-linear least-squares, parametric as well as non-parametric methods
Download or read book Quantitative Finance with Python written by Chris Kelliher and published by CRC Press. This book was released on 2022-05-19 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Finance with Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance, such as options pricing, portfolio optimization and machine learning. Simultaneously, the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors. Features Useful as both a teaching resource and as a practical tool for professional investors. Ideal textbook for first year graduate students in quantitative finance programs, such as those in master’s programs in Mathematical Finance, Quant Finance or Financial Engineering. Includes a perspective on the future of quant finance techniques, and in particular covers some introductory concepts of Machine Learning. Free-to-access repository with Python codes available at www.routledge.com/ 9781032014432 and on https://github.com/lingyixu/Quant-Finance-With-Python-Code.
Download or read book Implementing Models in Quantitative Finance Methods and Cases written by Gianluca Fusai and published by Springer Science & Business Media. This book was released on 2007-12-20 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book puts numerical methods in action for the purpose of solving practical problems in quantitative finance. The first part develops a toolkit in numerical methods for finance. The second part proposes twenty self-contained cases covering model simulation, asset pricing and hedging, risk management, statistical estimation and model calibration. Each case develops a detailed solution to a concrete problem arising in applied financial management and guides the user towards a computer implementation. The appendices contain "crash courses" in VBA and Matlab programming languages.
Download or read book Quantitative Finance written by T. Wake Epps and published by John Wiley & Sons. This book was released on 2009-03-23 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: A rigorous, yet accessible, introduction to essential topics in mathematical finance Presented as a course on the topic, Quantitative Finance traces the evolution of financial theory and provides an overview of core topics associated with financial investments. With its thorough explanations and use of real-world examples, this book carefully outlines instructions and techniques for working with essential topics found within quantitative finance including portfolio theory, pricing of derivatives, decision theory, and the empirical behavior of prices. The author begins with introductory chapters on mathematical analysis and probability theory, which provide the needed tools for modeling portfolio choice and pricing in discrete time. Next, a review of the basic arithmetic of compounding as well as the relationships that exist among bond prices and spot and forward interest rates is presented.? Additional topics covered include: Dividend discount models Markowitz mean-variance theory The Capital Asset Pricing Model Static?portfolio theory based on the expected-utility paradigm Familiar probability models for marginal distributions of returns and the dynamic behavior of security prices The final chapters of the book delve into the paradigms of pricing and present the application of martingale pricing in advanced models of price dynamics. Also included is a step-by-step discussion on the use of Fourier methods to solve for arbitrage-free prices when underlying price dynamics are modeled in realistic, but complex ways. Throughout the book, the author presents insight on current approaches along with comments on the unique difficulties that exist in the study of financial markets. These reflections illustrate the evolving nature of the financial field and help readers develop analytical techniques and tools to apply in their everyday work. Exercises at the end of most chapters progress in difficulty, and selected worked-out solutions are available in the appendix. In addition, numerous empirical projects utilize MATLAB® and Minitab® to demonstrate the mathematical tools of finance for modeling the behavior of prices and markets. Data sets that accompany these projects can be found via the book's FTP site. Quantitative Finance is an excellent book for courses in quantitative finance or financial engineering at the upper-undergraduate and graduate levels. It is also a valuable resource for practitioners in related fields including engineering, finance, and economics.
Download or read book The Quants written by Scott Patterson and published by Crown Currency. This book was released on 2010-02-02 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the immediacy of today’s NASDAQ close and the timeless power of a Greek tragedy, The Quants is at once a masterpiece of explanatory journalism, a gripping tale of ambition and hubris, and an ominous warning about Wall Street’s future. In March of 2006, four of the world’s richest men sipped champagne in an opulent New York hotel. They were preparing to compete in a poker tournament with million-dollar stakes, but those numbers meant nothing to them. They were accustomed to risking billions. On that night, these four men and their cohorts were the new kings of Wall Street. Muller, Griffin, Asness, and Weinstein were among the best and brightest of a new breed, the quants. Over the prior twenty years, this species of math whiz--technocrats who make billions not with gut calls or fundamental analysis but with formulas and high-speed computers--had usurped the testosterone-fueled, kill-or-be-killed risk-takers who’d long been the alpha males the world’s largest casino. The quants helped create a digitized money-trading machine that could shift billions around the globe with the click of a mouse. Few realized, though, that in creating this unprecedented machine, men like Muller, Griffin, Asness and Weinstein had sowed the seeds for history’s greatest financial disaster. Drawing on unprecedented access to these four number-crunching titans, The Quants tells the inside story of what they thought and felt in the days and weeks when they helplessly watched much of their net worth vaporize--and wondered just how their mind-bending formulas and genius-level IQ’s had led them so wrong, so fast.
Download or read book Bubbles and Crashes in Experimental Asset Markets written by Stefan Palan and published by Springer Science & Business Media. This book was released on 2009-10-03 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes a laboratory experiment designed to test the causes and properties of bubbles in financial markets and explores the question whether it is possible to design markets which avoid such bubbles and crashes. In the experiment, subjects were given the opportunity to trade in a stock market modeled after the seminal work of Smith et al. (1988). To account for the increasing importance of online betting sites, subjects were also allowed to trade in a digital option market. The outcomes shed new light on how subjects form and update their expectations, placing special emphasis on the bounded rationality of investors. Various analytical bubble measures found in the literature are collected, calculated, classified and presented for the first time. The very interesting new bubble measures "Dispersion Ratio", "Overpriced Transactions" and "Underpriced Transactions" are developed, making the book an important step towards the research goal of preventing bubbles and crashes in financial markets.
