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  • Big Data and Machine Learning in Quantitative Investment

    by Tony Guida ...
    Series series Wiley Finance
    Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investmentBig Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance.The book is split into 13 chapters ... Read more

    $46.00 USD

  • Machine Learning for Factor Investing

    Python Version

    Series series Chapman and Hall/CRC Financial Mathematics Series
    Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out-of-reach. Machine ... Read more

    $98.99 USD

  • Machine Learning for Factor Investing: R Version

    Series series Chapman and Hall/CRC Financial Mathematics Series
    Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out of reach. Machine ... Read more

    $106.99 USD

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  • Machine Learning for Algorithmic Trading

    Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

    by Stefan Jansen ...
    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 ... Read more

    $41.99 USD or Free with Kobo Plus

  • Regression Modeling with Actuarial and Financial Applications

    Series series International Series on Actuarial Science
    This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques using data on the demand for insurance, lottery sales, foreign exchange rates, and other applications. Although no specific knowledge of risk management or finance is presumed, the approach introduces applications in which statistical ... Read more

    $72.99 USD

  • Quantitative Portfolio Management

    The Art and Science of Statistical Arbitrage

    Discover foundational and advanced techniques in quantitative equity trading from a veteran insiderIn 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 ... Read more

    $33.00 USD

  • Generalized Linear Models for Insurance Data

    Series series International Series on Actuarial Science
    This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family ... Read more

    $110.99 USD

  • Negative Binomial Regression

    This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, ... Read more

    $96.99 USD

  • Applied Econometrics Using the SAS System

    by Vivek Ajmani ...
    The first cutting-edge guide to using the SAS® system for the analysis of econometric dataApplied Econometrics Using the SAS® System is the first book of its kind to treat the analysis of basic econometric data using SAS®, one of the most commonly used software tools among today's statisticians in business and industry. This book thoroughly examines econometric methods and discusses how data ... Read more

    $101.00 USD

  • Rating Based Modeling of Credit Risk

    Theory and Application of Migration Matrices

    Series series Academic Press Advanced Finance
    In the last decade rating-based models have become very popular in credit risk management. These systems use the rating of a company as the decisive variable to evaluate the default risk of a bond or loan. The popularity is due to the straightforwardness of the approach, and to the upcoming new capital accord (Basel II), which allows banks to base their capital requirements on internal as well as ... Read more

    $80.99 USD

  • Artificial Intelligence in Financial Markets

    Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics

    Series series Economics and Finance (R0)
    As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in ... Read more

    $89.99 USD

  • Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance

    Series series International Series on Actuarial Science
    Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long ... Read more

    $101.99 USD