Book picks similar to
The Concepts and Practice of Mathematical Finance by Mark S. Joshi
finance
quant
mathematics
math
Swing Into It: A Simple System For Trading Pullbacks to the 50-Day Moving Average
T. Livingston - 2018
Detailing the technical indicators and money management strategies that have worked best for him, T. Livingston breaks down what every savvy trader needs to profit in today’s stock market. Topics discussed include how to analyze the general market, which stocks to trade, when to buy, position sizing, profit targets, and selling rules. Swing Into It provides a variety of different examples so that the reader will be prepared for various market scenarios. Detailed sample trades are included so that the reader can see how Livingston thinks throughout each phase of his trades. If you’re looking to get started in swing trading or seeking to refine your trading system, Swing Into It belongs in your library.
The Bogleheads' Guide to Investing
Taylor Larimore - 2006
The book offers sound, practical advice, no matter what your age or net worth. Bottomline, become a Boglehead and prosper! Originally just the chat-line ruminations of Boglehead founder Taylor Larimore, and Morningstar forum leading cohorts Mel Lindauer and Michael LeBoeuf, their trusted advice has been brewed and distilled into an easy-to-use, need-to-know, no frills guide to building up your own financial well-being - so you can worry less and profit more from the investments you make. Invest like a Boglehead, and let their grassroots investment wisdom guide you down the path of long-term wealth creation and happiness, without all the worries and fuss of stock pickers and day traders. If you face a financial crisis or problem, or simply want to know what is prudent to do with the money you save, the Bogleheads will have the answers you need to help you gain your financial footing and keep it.
Mathematics for Economists
Carl P. Simon - 1994
An abundance of applications to current economic analysis, illustrative diagrams, thought-provoking exercises, careful proofs, and a flexible organization-these are the advantages that Mathematics for Economists brings to today’s classroom.
Thinking Strategically: The Competitive Edge in Business, Politics, and Everyday Life
Avinash K. Dixit - 1991
This entertaining guide builds on scores of case studies taken from business, sports, the movies, politics, and gambling. It outlines the basics of good strategy making and then shows how you can apply them in any area of your life.
Trading Systems and Methods
Perry J. Kaufman - 1997
The definitive reference on trading systems, the book explains the tools and techniques of successful trading to help traders develop a program that meets their own unique needs. Presenting an analytical framework for comparing systematic methods and techniques, this new edition offers expanded coverage in nearly all areas, including trends, momentum, arbitrage, integration of fundamental statistics, and risk management. Comprehensive and in-depth, the book describes each technique and how it can be used to a trader's advantage, and shows similarities and variations that may serve as valuable alternatives. The book also walks readers through basic mathematical and statistical concepts of trading system design and methodology, such as how much data to use, how to create an index, risk measurements, and more. Packed with examples, this thoroughly revised and updated Fifth Edition covers more systems, more methods, and more risk analysis techniques than ever before. The ultimate guide to trading system design and methods, newly revised Includes expanded coverage of trading techniques, arbitrage, statistical tools, and risk management models Written by acclaimed expert Perry J. Kaufman Features spreadsheets and TradeStation programs for a more extensive and interactive learning experience Provides readers with access to a companion website loaded with supplemental materials Written by a global leader in the trading field, Trading Systems and Methods, Fifth Edition is the essential reference to trading system design and methods updated for a post-crisis trading environment.
Basic Econometrics
Damodar N. Gujarati - 1987
Because of the way the book is organized, it may be used at a variety of levels of rigor. For example, if matrix algebra is used, theoretical exercises may be omitted. A CD of data sets is provided with the text.
Day Trading Made Easy: A Simple Strategy for Day Trading Stocks
Matthew R. Kratter - 2017
Amazon best-selling author and professional trader, Matthew Kratter will teach you everything you need to know to day trade stocks-- and to avoid getting wiped out. And if you ever get stuck, you can always reach out to him by email (provided inside of the book), and he will help you. To start making money today, scroll to the top of this page and click BUY NOW.
Option Volatility & Pricing: Advanced Trading Strategies and Techniques
Sheldon Natenberg - 1988
Drawing on his experience as a professional trader, author Sheldon Natenberg examines both the theory and reality of option trading. He presents the foundations of option theory explaining how this theory can be used to identify and exploit trading opportunities. "Option Volatility & Pricing" teaches you to use a wide variety of trading strategies and shows you how to select the strategy that best fits your view of market conditions and individual risk tolerance.New sections include: Expanded coverage of stock option Strategies for stock index futures and options A broader, more in-depth discussion volatility Analysis of volatility skews Intermarket spreading with options
Great Formulas Explained - Physics, Mathematics, Economics
Metin Bektas - 2013
Each formula is explained gently and in great detail, including a discussion of all the quanitites involved and examples that will make clear how and where to apply it. On top of that, there are plenty of illustrations that support the explanations and make the reading experience even more vivid.The book covers a wide range of diverse topics: acoustics, explosions, hurricanes, pipe flow, car traffic, gravity, satellites, roller coasters, flight, conservation laws, trigonometry, equations, inflation, loans, and many more. From the author of "Statistical Snacks" and "Business Math Basics - Practical and Simple".
Security Analysis: Principles and Technique
Benjamin Graham - 1934
No investment book in history had either the immediate impact, or the long-term relevance and value, of its first edition in 1934. By 1951, seventeen years past its original publication and more than a decade beyond its revised and acclaimed 1940 second edition, authors Benjamin Graham and David Dodd had seen business and investment markets travel from the depths of Depression to the heights of recovery, and had observed investor behavior during both the calm of peacetime and the chaos of World War II.The prescient thinking and insight displayed by Graham and Dodd in the first two editions of Security Analysis reached new heights in the third edition. In words that could just as easily have been written today as fifty years ago, they detail techniques and strategies for attaining success as individual investors, as well as the responsibilities of corporate decision makers to build shareholder value and transparency for those investors.The focus of the book, however, remains its timeless guidance and advice--that careful analysis of balance sheets is the primary road to investment success, with all other considerations little more than distractions. The authors had seen and survived the Great Depression as well as the political and financial instabilities of World War II and were now better able to outline a program for sensible and profitable investing in the latter half of the century.Security Analysis: The Classic 1951 Edition marks the return of this long-out-of-print work to the investment canon. It will reacquaint you with the foundations of value investing--more relevant than ever in tumultuous twenty-first century markets--and allow you to own the third installment in what has come to be regarded as the most accessible and usable title in the history of investment publishing.
Introductory Linear Algebra: An Applied First Course
Bernard Kolman - 1988
Calculus is not a prerequisite, although examples and exercises using very basic calculus are included (labeled Calculus Required.) The most technology-friendly text on the market, Introductory Linear Algebra is also the most flexible. By omitting certain sections, instructors can cover the essentials of linear algebra (including eigenvalues and eigenvectors), to show how the computer is used, and to introduce applications of linear algebra in a one-semester course.
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie - 2001
With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.
Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction
Arvind Narayanan - 2016
Whether you are a student, software developer, tech entrepreneur, or researcher in computer science, this authoritative and self-contained book tells you everything you need to know about the new global money for the Internet age.How do Bitcoin and its block chain actually work? How secure are your bitcoins? How anonymous are their users? Can cryptocurrencies be regulated? These are some of the many questions this book answers. It begins by tracing the history and development of Bitcoin and cryptocurrencies, and then gives the conceptual and practical foundations you need to engineer secure software that interacts with the Bitcoin network as well as to integrate ideas from Bitcoin into your own projects. Topics include decentralization, mining, the politics of Bitcoin, altcoins and the cryptocurrency ecosystem, the future of Bitcoin, and more.An essential introduction to the new technologies of digital currencyCovers the history and mechanics of Bitcoin and the block chain, security, decentralization, anonymity, politics and regulation, altcoins, and much moreFeatures an accompanying website that includes instructional videos for each chapter, homework problems, programming assignments, and lecture slidesAlso suitable for use with the authors' Coursera online courseElectronic solutions manual (available only to professors)
Principles of Risk Management and Insurance
George E. Rejda - 1994
This edition provides updated coverage of events such as the September 11th terrorist attacks and their effect on insurance, the Economic Growth and Tax Relief Reconciliation Act of 2001 and the President's Commission on Social Security.