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Finding Alphas 2nd Edition


Finding Alphas 2nd Edition
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Finding Alphas 2nd Edition


Finding Alphas 2nd Edition
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Author : Igor Tulchinsky
language : en
Publisher:
Release Date : 2019

Finding Alphas 2nd Edition written by Igor Tulchinsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.


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." 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



The Unrules


The Unrules
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Author : Igor Tulchinsky
language : en
Publisher: John Wiley & Sons
Release Date : 2018-09-24

The Unrules written by Igor Tulchinsky and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-24 with Business & Economics categories.


Learn from a master of quantitative finance the rules that made him a success. The UnRules presents the dynamic rules for success in the age of exponential information. Written by Igor Tulchinsky, the trader behind global quantitative investment management firm WorldQuant, this book is more than just another Big Data guide for financial wonks — it’s a prescriptive, inspirational book for everyone navigating the tidal waves of the information age. Data is everywhere, coming at us in a never-ceasing, ever-rising river that threatens to overwhelm us. Tulchinsky shows us, however, how natural patterns underlie that data — patterns that may dictate life or death, success or failure. The marriage of man and machines has allowed scientists to explore increasingly complex worlds, to predict outcomes and eventualities. This book demonstrates how to exercise real intelligence by discerning the patterns that surround us every day and how to leverage this information into success in the workplace and beyond. Igor Tulchinsky has spent his career discerning meaningful patterns in information. For decades, Tulchinsky has been at the forefront of developing predictive trading algorithms known as alphas — a quest that has led Tulchinsky to explore the nature of markets, the fundamentals of risk and reward, and the science behind complex nonlinear systems. Tulchinsky explains what we know of these systems, both natural and man-made, in accessible and personal terms, and he shares how alphas have driven his success as an investor and shaped his central “UnRule,” which is that no rule applies in every case. As markets evolve, even the most effective trading algorithms weaken over time. Decades of creating successful alphas — and learning how to effectively transform them into strategies — have taught Tulchinsky about the need to combine flexibility and focus, discipline and creativity when building complex models. At a time when data and computing power are exploding exponentially, The UnRules provides an expert introduction to our increasingly quantitative world.



Machine Learning For Algorithmic Trading


Machine Learning For Algorithmic Trading
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Author : Stefan Jansen
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-31

Machine Learning For Algorithmic Trading written by Stefan Jansen and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Business & Economics categories.


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.



Quantitative Trading


Quantitative Trading
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Author : Ernie Chan
language : en
Publisher: Wiley
Release Date : 2008-11-17

Quantitative Trading written by Ernie Chan and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-17 with Business & Economics categories.


While institutional traders continue to implement quantitative (or algorithmic) trading, many independent traders have wondered if they can still challenge powerful industry professionals at their own game? The answer is "yes," and in Quantitative Trading, Dr. Ernest Chan, a respected independent trader and consultant, will show you how. Whether you're an independent "retail" trader looking to start your own quantitative trading business or an individual who aspires to work as a quantitative trader at a major financial institution, this practical guide contains the information you need to succeed.



The Alpha S Son


The Alpha S Son
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Author : Penny Jessup
language : en
Publisher:
Release Date : 2022-02-12

The Alpha S Son written by Penny Jessup and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-12 with Young Adult Fiction categories.


Max Remus couldn't care less about finding his mate-unlike the rest of his fate-obsessed pack. He totally prefers hanging with his bestie, eating his dad's steak sandwiches, and drawing in his trusty sketchbook. But all that is about to change at the Blue Moon Festival-a summer camp where Elite Pack wolves go to find their mates. The festival is a right of passage for every teen werewolf, and this year's festival will be one to howl home about. The alpha's son, Jasper Apollo, is attending for the first time. When Max finds himself inexplicably linked with the exceptionally handsome but totally jerk-faced heir, he's forced to grapple with the unexpected feelings clawing at his soul. If Max rejects his destiny, will fate's bite be worse than its bark? Netflix's Young Royals meets Teen Wolf meets Twilight--the first instalment in a thrilling new series, The Alpha's Son is a heart-wrenching Young Adult, Boys Love, wolf shifter romance; full of yearning, comedy, and adventure. Start reading now! And may the Moon Gods light the path between souls.



Venture Capital And The Finance Of Innovation


Venture Capital And The Finance Of Innovation
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Author : Andrew Metrick
language : en
Publisher: John Wiley and Sons
Release Date : 2011-06-15

Venture Capital And The Finance Of Innovation written by Andrew Metrick and has been published by John Wiley and Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-15 with Business & Economics categories.


This useful guide walks venture capitalists through the principles of finance and the financial models that underlie venture capital decisions. It presents a new unified treatment of investment decision making and mark-to-market valuation. The discussions of risk-return and cost-of-capital calculations have been updated with the latest information. The most current industry data is included to demonstrate large changes in venture capital investments since 1999. The coverage of the real-options methodology has also been streamlined and includes new connections to venture capital valuation. In addition, venture capitalists will find revised information on the reality-check valuation model to allow for greater flexibility in growth assumptions.



Finding Alphas


Finding Alphas
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Author : Igor Tulchinsky
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-01

Finding Alphas written by Igor Tulchinsky and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-01 with Business & Economics categories.


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. • 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.



Financial Markets And Corporate Strategy


Financial Markets And Corporate Strategy
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Author : David Hillier
language : en
Publisher: McGraw-Hill Education
Release Date : 2011-10

Financial Markets And Corporate Strategy written by David Hillier and has been published by McGraw-Hill Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10 with Business & Economics categories.


The second European edition of Financial Markets and Corporate Strategy provides comprehensive coverage of financial markets and corporate finance, brought to life by real world examples, cases and insights. Placed in a truly international context, this new and updated edition takes an academic and practical view-point to guide students through the challenges of studying and practicing finance. Aimed specifically at an international audience, this edition boasts hundreds of references to new and relevant non-US research papers from top finance journals. Whilst retaining the well respected structure of the successful US text, Professor David Hillier has also made a number of additions which include: Fully updated research, data and examples in every chapter. Coverage of the global financial crisis, the impact it made on the financial markets and the lessons being learnt by the finance industry. A stronger emphasis on corporate governance and agency theory. Updates on accounting standards, bankruptcy laws, tax rules and tax systems.



Quantitative Portfolio Management


Quantitative Portfolio Management
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Author : Michael Isichenko
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-31

Quantitative Portfolio Management written by Michael Isichenko and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-31 with Business & Economics categories.


Discover foundational and advanced techniques in quantitative equity trading from a veteran insider In Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage, distinguished physicist-turned-quant Dr. Michael Isichenko delivers a systematic review of the quantitative trading of equities, or statistical arbitrage. The book teaches you how to source financial data, learn patterns of asset returns from historical data, generate and combine multiple forecasts, manage risk, build a stock portfolio optimized for risk and trading costs, and execute trades. In this important book, you’ll discover: Machine learning methods of forecasting stock returns in efficient financial markets How to combine multiple forecasts into a single model by using secondary machine learning, dimensionality reduction, and other methods Ways of avoiding the pitfalls of overfitting and the curse of dimensionality, including topics of active research such as “benign overfitting” in machine learning The theoretical and practical aspects of portfolio construction, including multi-factor risk models, multi-period trading costs, and optimal leverage Perfect for investment professionals, like quantitative traders and portfolio managers, Quantitative Portfolio Management will also earn a place in the libraries of data scientists and students in a variety of statistical and quantitative disciplines. It is an indispensable guide for anyone who hopes to improve their understanding of how to apply data science, machine learning, and optimization to the stock market.



The Incredible Shrinking Alpha 2nd Edition


The Incredible Shrinking Alpha 2nd Edition
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Author : Andrew L. Berkin
language : en
Publisher: Harriman House Limited
Release Date : 2020-08-25

The Incredible Shrinking Alpha 2nd Edition written by Andrew L. Berkin and has been published by Harriman House Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-25 with Business & Economics categories.


Active managers persistently lag the returns of benchmarks and index funds that track them, with the excuses for underperformance recycled every year. This comprehensive book is the antidote for the active managers’ siren song. If you understand the benefits of indexing, or systematic investing, it will reinforce your commitment while increasing your knowledge. If you don’t yet believe, Swedroe and Berkin provide a compelling case that you’re playing the loser’s game of active management. Alpha, or outperformance against appropriate risk-adjusted benchmarks, is shrinking as it gets converted into beta, or factor exposures. They demonstrate that even for the most talented managers, their ability to add value is waning because: the amount of alpha available is declining; it must be split among an increasing amount of investment dollars; and the competition is getting tougher. In this greatly expanded second edition, Swedroe and Berkin show you how to develop an investment plan that focuses on what risks to take, and how much of them, as well as how to build a diversified portfolio. They present a list of vehicles to consider when implementing your plan and provide guidance on the care and maintenance of your portfolio. As a bonus they add appendices that will make you a more informed and, therefore, better investor. This makes The Incredible Shrinking Alpha a complete guide to successful investment strategy.