Discover the ins and outs of designing predictive trading models
Drawing on the expertise of WorldQuant's global network, this new edition of Finding Alphas: A Quantitative Approach to Building Trading Strategies contains significant changes and updates to the original material, with new and updated data and examples.
Nine chapters have been added about alphas - models used to make predictions regarding the prices of financial instruments. The new chapters cover topics including alpha correlation, controlling biases, exchange-traded funds, event-driven investing, index alphas, intraday data in alpha research, intraday trading, machine learning, and the triple axis plan for identifying alphas. You'll also find details of how to use WebSim, WorldQuant's web-based simulation platform, to test your alphas.
- Provides more references to the academic literature
- Includes new, high-quality material
- Organizes content in a practical and easy-to-follow manner
- Adds new alpha examples with formulas and explanations
If you're looking for the latest information on building trading strategies from a quantitative approach, this book has you covered.
"Dr Jan Dash has achieved a success that is truly unique. It is common to find texts from authors steeped in climate science or in decision making processes. But it is rare to find someone skilled at both. Dr Dash knows his science and he knows how to use it to make informed decisions as we face a changing and challenging climate."
Dr John Abraham University of St Thomas, USA
Review of the First Edition:
"... this document brings a wealth of practical information on how work is done in real world financial markets, and covers an impressive number of topics, ranging from management and computer system issues to research themes whose potential applications are yet to be explored. It can prove a useful tool to anyone already well acquainted with the basics of mathematical finance, including financial mathematicians, but also quantitative analysts wishing to learn more of the fundamentals without paying too high a price in mathematical prerequisites."
Mathematical Reviews
Written by a physicist with extensive experience as a risk/finance quant, this book treats a wide variety of topics. Presenting the theory and practice of quantitative finance and risk, it delves into the "how to" and "what it's like" aspects not covered in textbooks or papers. A "Technical Index" indicates the mathematical level for each chapter.
This second edition includes some new, expanded, and wide-ranging considerations for risk management: Climate Change and its long-term systemic risk; Markets in Crisis and the Reggeon Field Theory; "Smart Monte Carlo" and American Monte Carlo; Trend Risk -- time scales and risk, the Macro-Micro model, singular spectrum analysis; credit risk: counterparty risk and issuer risk; stressed correlations -- new techniques; and Psychology and option models.
Solid risk management topics from the first edition and valid today are included: standard/advanced theory and practice in fixed income, equities, and FX; quantitative finance and risk management -- traditional/exotic derivatives, fat tails, advanced stressed VAR, model risk, numerical techniques, deals/portfolios, systems, data, economic capital, and a function toolkit; risk lab -- the nuts and bolts of risk management from the desk to the enterprise; case studies of deals; Feynman path integrals, Green functions, and options; and "Life as a Quant" -- communication issues, sociology, stories, and advice.
Описание: The purpose of this book is to study the association of corporate environmental responsibility (CER) with financial performance, capital structure, innovative activities, corporate risk, working capital management and accounting quality.
Автор: R. White Название: Making Sense of Anti-trade Sentiment ISBN: 1349476528 ISBN-13(EAN): 9781349476527 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Examining the extent to which trade adversely affects domestic workers, Making Sense of Anti-Trade Sentiment documents statistical relationships between exports and imports and domestic employment/wages.
Описание: The purpose of this book is to study the association of corporate environmental responsibility (CER) with financial performance, capital structure, innovative activities, corporate risk, working capital management and accounting quality.
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