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Author: Ralph Vince Publisher: John Wiley and Sons ISBN: 0470496029 Category : Business & Economics Languages : en Pages : 213
Book Description
The cornerstone of money management and portfolio optimization techniques has remained the same throughout history: maximize gains and minimize risk. Yet, asserts Ralph Vince, the widely accepted approaches of combining assets into a portfolio and determining their relative quantities are wrong and will cost you. They illuminate nothing, he says, aside from providing the illusion of safety through diversification. Although numerous Nobel Prizes have been awarded based on some of those widely accepted principles, their popular acceptance does not constitute real-world validation. What has been needed is a viable alternative to directly address these real-world dictates. In The Leverage Space Trading Model, Vince offers a groundbreaking contribution to the literature that builds on a lifetime of expert analysis to deliver not only a superior new portfolio model, but takes the entire discipline of portfolio management to a new level. In this book, Vince who has made many important intellectual contributions to the field for over two decades departs radically from informed orthodoxy to present an entirely new approach to portfolio management. At its core, The Leverage Space Trading Model basically tells how resources should be combined to maximize safety and profitability given the dictates of the real world. But, as the author points out, given the complex and seemingly pathological character of human desires, we are presented with a fascinating puzzle. Research has found that human beings do not primarily want to maximize gains our psychological makeup is such that we instead tend to possess seemingly more complex desires. If the models don't work, if we are ultimately unable to satisfy our more complex desires, what's the alternative? As Vince shows, the answer is to utilize the Leverage Space Model as a "framework" to achieve the specific ends a trader or portfolio manager seeks. The author's new allocation paradigm avoids the troubles that come with mean variance models which most models are and quantifies drawdowns to achieve a growth-optimal portfolio within a given drawdown constraint, in a manner that satisfies these seemingly pathological human desires. And for those who don't wish to get involved with the mathematics, Vince has presented the text in a manner of two congruent, simultaneous channels, with math and without. Most simply put, this book will change how you think about money management and portfolio allocations.
Author: Ralph Vince Publisher: John Wiley and Sons ISBN: 0470496029 Category : Business & Economics Languages : en Pages : 213
Book Description
The cornerstone of money management and portfolio optimization techniques has remained the same throughout history: maximize gains and minimize risk. Yet, asserts Ralph Vince, the widely accepted approaches of combining assets into a portfolio and determining their relative quantities are wrong and will cost you. They illuminate nothing, he says, aside from providing the illusion of safety through diversification. Although numerous Nobel Prizes have been awarded based on some of those widely accepted principles, their popular acceptance does not constitute real-world validation. What has been needed is a viable alternative to directly address these real-world dictates. In The Leverage Space Trading Model, Vince offers a groundbreaking contribution to the literature that builds on a lifetime of expert analysis to deliver not only a superior new portfolio model, but takes the entire discipline of portfolio management to a new level. In this book, Vince who has made many important intellectual contributions to the field for over two decades departs radically from informed orthodoxy to present an entirely new approach to portfolio management. At its core, The Leverage Space Trading Model basically tells how resources should be combined to maximize safety and profitability given the dictates of the real world. But, as the author points out, given the complex and seemingly pathological character of human desires, we are presented with a fascinating puzzle. Research has found that human beings do not primarily want to maximize gains our psychological makeup is such that we instead tend to possess seemingly more complex desires. If the models don't work, if we are ultimately unable to satisfy our more complex desires, what's the alternative? As Vince shows, the answer is to utilize the Leverage Space Model as a "framework" to achieve the specific ends a trader or portfolio manager seeks. The author's new allocation paradigm avoids the troubles that come with mean variance models which most models are and quantifies drawdowns to achieve a growth-optimal portfolio within a given drawdown constraint, in a manner that satisfies these seemingly pathological human desires. And for those who don't wish to get involved with the mathematics, Vince has presented the text in a manner of two congruent, simultaneous channels, with math and without. Most simply put, this book will change how you think about money management and portfolio allocations.
Author: Ralph Vince Publisher: John Wiley & Sons ISBN: 9780471547389 Category : Business & Economics Languages : en Pages : 404
Book Description
Every futures, options, and stock markets trader operates under a set of highly suspect rules and assumptions. Are you risking your career on yours? Exceptionally clear and easy to use, The Mathematics of Money Management substitutes precise mathematical modeling for the subjective decision-making processes many traders and serious investors depend on. Step-by-step, it unveils powerful strategies for creating and using key money management formulas--based on the rules of probability and modern portfolio theory--that maximizes the potential gains for the level of risk you are assuming. With them, you'll determine the payoffs and consequences of any potential trading decision and obtain the highest potential growth for your specified level of risk. You'll quickly decide: What markets to trade in and at what quantities When to add or subtract funds from an account How to reinvest trading profits for maximum yield The Mathematics of Money Management provides the missing element in modern portfolio theory that weds optimal f to the optimal portfolio.
Author: Stefan Jansen Publisher: Packt Publishing Ltd ISBN: 1839216786 Category : Business & Economics Languages : en Pages : 822
Book Description
Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.
Author: Robert Carver Publisher: Harriman House Limited ISBN: 085719500X Category : Business & Economics Languages : en Pages : 247
Book Description
This is not just another book with yet another trading system. This is a complete guide to developing your own systems to help you make and execute trading and investing decisions. It is intended for everyone who wishes to systematise their financial decision making, either completely or to some degree. Author Robert Carver draws on financial theory, his experience managing systematic hedge fund strategies and his own in-depth research to explain why systematic trading makes sense and demonstrates how it can be done safely and profitably. Every aspect, from creating trading rules to position sizing, is thoroughly explained. The framework described here can be used with all assets, including equities, bonds, forex and commodities. There is no magic formula that will guarantee success, but cutting out simple mistakes will improve your performance. You'll learn how to avoid common pitfalls such as over-complicating your strategy, being too optimistic about likely returns, taking excessive risks and trading too frequently. Important features include: - The theory behind systematic trading: why and when it works, and when it doesn't. - Simple and effective ways to design effective strategies. - A complete position management framework which can be adapted for your needs. - How fully systematic traders can create or adapt trading rules to forecast prices. - Making discretionary trading decisions within a systematic framework for position management. - Why traditional long only investors should use systems to ensure proper diversification, and avoid costly and unnecessary portfolio churn. - Adapting strategies depending on the cost of trading and how much capital is being used. - Practical examples from UK, US and international markets showing how the framework can be used. Systematic Trading is detailed, comprehensive and full of practical advice. It provides a unique new approach to system development and a must for anyone considering using systems to make some, or all, of their investment decisions.
Author: Xavier Freixas Publisher: ISBN: Category : Business & Economics Languages : en Pages : 848
Book Description
Written by leading academics and practitioners, this book provides an overview of financial markets and addresses major policy issues using the most advanced tools of theoretical and empirical economic analysis. In particular, the book focuses on financial integration and the structural reforms now taking place in the European financial sector.
Author: Richard L. Peterson Publisher: John Wiley & Sons ISBN: 1119163757 Category : Business & Economics Languages : en Pages : 317
Book Description
In his debut book on trading psychology, Inside the Investor’s Brain, Richard Peterson demonstrated how managing emotions helps top investors outperform. Now, in Trading on Sentiment, he takes you inside the science of crowd psychology and demonstrates that not only do price patterns exist, but the most predictable ones are rooted in our shared human nature. Peterson’s team developed text analysis engines to mine data - topics, beliefs, and emotions - from social media. Based on that data, they put together a market-neutral social media-based hedge fund that beat the S&P 500 by more than twenty-four percent—through the 2008 financial crisis. In this groundbreaking guide, he shows you how they did it and why it worked. Applying algorithms to social media data opened up an unprecedented world of insight into the elusive patterns of investor sentiment driving repeating market moves. Inside, you gain a privileged look at the media content that moves investors, along with time-tested techniques to make the smart moves—even when it doesn’t feel right. This book digs underneath technicals and fundamentals to explain the primary mover of market prices - the global information flow and how investors react to it. It provides the expert guidance you need to develop a competitive edge, manage risk, and overcome our sometimes-flawed human nature. Learn how traders are using sentiment analysis and statistical tools to extract value from media data in order to: Foresee important price moves using an understanding of how investors process news. Make more profitable investment decisions by identifying when prices are trending, when trends are turning, and when sharp market moves are likely to reverse. Use media sentiment to improve value and momentum investing returns. Avoid the pitfalls of unique price patterns found in commodities, currencies, and during speculative bubbles Trading on Sentiment deepens your understanding of markets and supplies you with the tools and techniques to beat global markets— whether they’re going up, down, or sideways.
Author: John F. Ehlers Publisher: John Wiley & Sons ISBN: 0471405671 Category : Business & Economics Languages : en Pages : 276
Book Description
Predict the future more accurately in today's difficult trading times The Holy Grail of trading is knowing what the markets will do next. Technical analysis is the art of predicting the market based on tested systems. Some systems work well when markets are "trending," and some work well when they are "cycling," going neither up nor down, but sideways. In Trading with Signal Analysis, noted technical analyst John Ehlers applies his engineering expertise to develop techniques that predict the future more accurately in these times that are otherwise so difficult to trade. Since cycles and trends exist in every time horizon, these methods are useful even in the strongest bull--or bear--market. John F. Ehlers (Goleta, CA) speaks internationally on the subject of cycles in the market and has expanded the scope of his contributions to technical analysis through the application of scientific digital signal processing techniques.
Author: Gregory Connor Publisher: Princeton University Press ISBN: 1400835291 Category : Business & Economics Languages : en Pages : 400
Book Description
Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. Portfolio Risk Analysis provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective. Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts. This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.
Author: Francesco Longo Publisher: John Wiley & Sons ISBN: 0470518480 Category : Business & Economics Languages : en Pages : 352
Book Description
The ability to manage change-management processes depends on individual skills and organisational culture. These skills have to be increased and practiced; in this perspective, the reading and analysis of this casebook can generate mental training about innovation. In order to look for common problems and solutions for implementing managerial development, a rich portfolio of European cases, with at least one representative for every European component, is presented. Typically comparative works select different countries according to criteria such as English speaking, countries from the same region or industrialised countries. This book looks at comparative differences but also has sufficient cultural, social, political and economic homogeneity. Comparisons are more useful and easier to understand due to common implementation difficulties and possible change strategies. A general introduction leads on to some theoretical background, which presents the Editors’ thinking about strategy, change management and the strategic approach to change management, representing the framework at the core of the book. A guide through the European examples introduces the cases themselves. Teaching notes on how to position the case, learning objectives, question discussion, case analysis and further reference are provided in order to show teachers and trainers how to use each individual case. This book is a tool for discussion and a framework to structure a debate about the evaluation of managerial evolution, providing trainers, students and practitioners with an instrument to understand how to face the difficulties each change management process is affected by.
Author: Ralph Vince
Author: Ralph Vince
Author: Robert Pardo
Author: Ralph Vince
Author: Stefan Jansen
Author: Robert Carver
Author: Xavier Freixas
Author: Richard L. Peterson
Author: John F. Ehlers
Author: Gregory Connor
Author: Francesco Longo