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  • Mathematical and Statistical Methods for Actuarial Sciences and Finance

    eMAF2020

    Series series Springer Nature Proceedings excluding Computer Science
    The cooperation and contamination between mathematicians, statisticians and econometricians working in actuarial sciences and finance is improving the research on these topics and producing numerous meaningful scientific results. This volume presents new ideas, in the form of four- to six-page papers, presented at the International Conference eMAF2020 – Mathematical and Statistical Methods for ... Leer más

    $170.99 USD

  • Numerical Methods and Optimization in Finance

    Computationally-intensive tools play an increasingly important role in financial decisions. Many financial problems—ranging from asset allocation to risk management and from option pricing to model calibration—can be efficiently handled using modern computational techniques. Numerical Methods and Optimization in Finance presents such computational techniques, with an emphasis on simulation and ... Leer más

    $134.99 USD

  • Numerical Methods and Optimization in Finance

    This book describes computational finance tools. It covers fundamental numerical analysis and computational techniques, such as option pricing, and gives special attention to simulation and optimization. Many chapters are organized as case studies around portfolio insurance and risk estimation problems. In particular, several chapters explain optimization heuristics and how to use them for ... Leer más

    $93.99 USD

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  • Advances in Financial Machine Learning

    Learn to understand and implement the latest machine learning innovations to improve your investment performanceMachine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and ... Leer más

    $33.00 USD

  • Machine Learning for Asset Managers

    Series series Elements in Quantitative Finance
    Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers ... Leer más

    $20.99 USD

  • 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 ... Leer más

    $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 ... Leer más

    $33.00 USD

  • Forecasting and Assessing Risk of Individual Electricity Peaks

    Series series Mathematics and Statistics (R0)
    The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme value theory techniques with examples.In order to achieve carbon targets, good forecasts of peaks are ... Leer más

    Gratis

  • 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 ... Leer más

    $89.09 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, ... Leer más

    $96.99 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 ... Leer más

    $80.99 USD

  • Neural Networks in Finance

    Gaining Predictive Edge in the Market

    Series series Academic Press Advanced Finance
    This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction. McNelis utilizes a variety of examples, from forecasting automobile production and corporate bond ... Leer más

    $93.99 USD