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Author: Xavier Vives
Publisher: Princeton University Press
ISBN: 140082950X
Category : Business & Economics
Languages : en
Pages : 422
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Book Description
The ways financial analysts, traders, and other specialists use information and learn from each other are of fundamental importance to understanding how markets work and prices are set. This graduate-level textbook analyzes how markets aggregate information and examines the impacts of specific market arrangements--or microstructure--on the aggregation process and overall performance of financial markets. Xavier Vives bridges the gap between the two primary views of markets--informational efficiency and herding--and uses a coherent game-theoretic framework to bring together the latest results from the rational expectations and herding literatures. Vives emphasizes the consequences of market interaction and social learning for informational and economic efficiency. He looks closely at information aggregation mechanisms, progressing from simple to complex environments: from static to dynamic models; from competitive to strategic agents; and from simple market strategies such as noncontingent orders or quantities to complex ones like price contingent orders or demand schedules. Vives finds that contending theories like informational efficiency and herding build on the same principles of Bayesian decision making and that "irrational" agents are not needed to explain herding behavior, booms, and crashes. As this book shows, the microstructure of a market is the crucial factor in the informational efficiency of prices. Provides the most complete analysis of the ways markets aggregate information Bridges the gap between the rational expectations and herding literatures Includes exercises with solutions Serves both as a graduate textbook and a resource for researchers, including financial analysts
Author: Xavier Vives
Publisher: Princeton University Press
ISBN: 140082950X
Category : Business & Economics
Languages : en
Pages : 422
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Book Description
The ways financial analysts, traders, and other specialists use information and learn from each other are of fundamental importance to understanding how markets work and prices are set. This graduate-level textbook analyzes how markets aggregate information and examines the impacts of specific market arrangements--or microstructure--on the aggregation process and overall performance of financial markets. Xavier Vives bridges the gap between the two primary views of markets--informational efficiency and herding--and uses a coherent game-theoretic framework to bring together the latest results from the rational expectations and herding literatures. Vives emphasizes the consequences of market interaction and social learning for informational and economic efficiency. He looks closely at information aggregation mechanisms, progressing from simple to complex environments: from static to dynamic models; from competitive to strategic agents; and from simple market strategies such as noncontingent orders or quantities to complex ones like price contingent orders or demand schedules. Vives finds that contending theories like informational efficiency and herding build on the same principles of Bayesian decision making and that "irrational" agents are not needed to explain herding behavior, booms, and crashes. As this book shows, the microstructure of a market is the crucial factor in the informational efficiency of prices. Provides the most complete analysis of the ways markets aggregate information Bridges the gap between the rational expectations and herding literatures Includes exercises with solutions Serves both as a graduate textbook and a resource for researchers, including financial analysts
Author: Ian Maclean
Publisher: BRILL
ISBN: 9047428943
Category : Literary Criticism
Languages : en
Pages : 472
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Book Description
This collection of essays examines the operation of the market for learned books in Early Modern Europe through a series of case studies. After an overview of general market conditions, issues raised by the transmission of knowledge and the economics of the book trade are addressed. These include the selection of copy, the role of legal and religious controls in the production and diffusion of texts, the paths open to authors to achieve publication, the finances and interaction of publishing houses, the margins of the European book trade in England and Portugal, and the development of bibliographical tools to assist purchasers in their pursuit of scholarly works.
Author:
Publisher: Council for Economic Educat
ISBN: 9781561833863
Category : Business & Economics
Languages : en
Pages : 300
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Book Description
Lesson plans for teaching about the US stock market to students in grades 4-12. May be used alone or as a companion to the The Stock Market Game.
Author: Jeff Cobb
Publisher: AMACOM Div American Mgmt Assn
ISBN: 0814432255
Category : Business & Economics
Languages : en
Pages : 242
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Book Description
Continuing education is a booming, competitive market. Outperform the competition with this how-to-do-it-right guide.
Author: Prasenjit Paul
Publisher: PartridgeIndia
ISBN: 9781482850888
Category :
Languages : en
Pages : 0
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Book Description
Are you suffering loss in equity investment? Do you want your hard earned money to grow consistently? Do you want to learn easy methods for selecting great stocks? If any of the above answers is ?YES?, then this book will be a perfect guide for you. Written in a simple language, this book will help you in ? Selecting fundamentally strong stocks for consistent return Proper construction of equity portfolio When to buy and when to sell stocks Avoiding loss in equity investment
Author: Christopher Hamilton
Publisher:
ISBN: 9780578988078
Category :
Languages : en
Pages : 0
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Book Description
Read on and Start Investing within Reading the First 20 Pages! Imagine waking up one day and realizing you can halve your working hours and spend most of your time with your loved ones. Instead of rushing to go to work, you can have a slow morning cup of coffee on a sunny balcony on a Wednesday afternoon. You wouldn't be the first one to achieve this with the help of a few smart stock market investments. Yes, it's completely normal if you have no clue where to begin even thinking about investing. If you are like most stock market beginners, words like 'bull', 'bear', 'dividend, ' and 'IPO' confuse you. No worries! These precise definitions with examples can get you to earning passive income! Ask any big stock market investor - they started with learning stock market terms, concepts, and golden rules of how it works. If you learn stock market terms now, they will make your investing experience easy, enjoyable, and profitable! This book will teach you how to invest the right way so that when it comes time for you to buy stocks, your money doesn't go down the drain. You will see for yourself how simple it is to gain profit with the right approach! Here is what you get inside this blueprint: Learn all the necessary terms to get going in the stock market fast! Get started with investing immediately and effortlessly make passive income safely! Build your skills now and start investing while reading! And much, much more! Instead of letting inflation eat up years' worth of savings, investing in stocks is the most popular, tested, and profitable way of earning more money at home. This book makes sure you play safe and start learning how to earn income with the right terminology. You're not risking anything by starting small!
Author: Aniruddha Deshpande
Publisher: Notion Press
ISBN: 1645879488
Category : Business & Economics
Languages : en
Pages : 171
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Book Description
Market Profile is the hot new topic on the trading scene in India. But it has been around a long time. It has been helping traders like me achieve their dream of consistent trading profitability for years and it can do so for you. You may have read books by James Dalton and Peter Steidlmayer which talk about Market profile and Auction Market Theory. But not many have explored this topic in India. There are very few reliable sources of information available. You will see this book will change all of that. This book is not only about market profile trade setups and trading strategies, because jumping directly on to the setups wont help you improve your trading. But this book explores the market profile basics for you, in fact the very foundation Market Profile is built on. And it converts all this into a nice reliable and replicable framework which will help you both understand and incorporate Market Profile in your trading. This books shares my journey with Market Profile and how it helped me become the trader I am today. It will guide you with common problems and frustrations you will face on this journey and will provide a solution to each and every one of them. So if you are looking to become an independent and consistently profitable trader this book is the answer...
Author: Raymond C. Pettit
Publisher: Psychology Press
ISBN: 0805856536
Category : Business & Economics
Languages : en
Pages : 198
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Book Description
First Published in 2007. Routledge is an imprint of Taylor & Francis, an informa company.
Author: Joel Greenblatt
Publisher: Simon and Schuster
ISBN: 1451628064
Category : Business & Economics
Languages : en
Pages : 304
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Book Description
A comprehensive and practical guide to the stock market from a successful fund manager—filled with case studies, important background information, and all the tools you’ll need to become a stock market genius. Fund manager Joel Greenblatt has been beating the Dow (with returns of 50 percent a year) for more than a decade. And now, in this highly accessible guide, he’s going to show you how to do it, too. You’re about to discover investment opportunities that portfolio managers, business-school professors, and top investment experts regularly miss—uncharted areas where the individual investor has a huge advantage over the Wall Street wizards. Here is your personal treasure map to special situations in which big profits are possible, including: -Spin-offs -Restructurings -Merger Securities -Rights Offerings -Recapitalizations -Bankruptcies -Risk Arbitrage Prepared with the tools from this guide, it won’t be long until you’re a stock market genius!
Author: Stefan Jansen
Publisher: Packt Publishing Ltd
ISBN: 1839216786
Category : Business & Economics
Languages : en
Pages : 822
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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.
