Statistical Methods Finance (333 results)

Condition: very good. Gently used. May include previous owner's signature or bookplate on the front endpaper, sticker on back and/or remainder mark on text block.

Condition: As New. Unread book in perfect condition.

Condition: New.

Hardcover. Condition: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: new. Paperback. Statistical quantitative methods are vital for financial valuation models and benchmarking machine learning models in finance.This book explores the theoretical foundations of statistical models, from ordinary least squares (OLS) to the generalized method of moments (GMM) used in econometrics. It enriches your understanding through practical examples drawn from applied finance, demonstrating the real-world applications of these concepts. Additionally, the book delves into non-linear methods and Bayesian approaches, which are becoming increasingly popular among practitioners thanks to advancements in computational resources. By mastering these topics, you will be equipped to build foundational models crucial for applied data science, a skill highly sought after by software engineering and asset management firms. The book also offers valuable insights into quantitative portfolio management, showcasing how traditional data science tools can be enhanced with machine learning models. These enhancements are illustrated through real-world examples from finance and econometrics, accompanied by Python code. This practical approach ensures that you can apply what you learn, gaining proficiency in the statsmodels library and becoming adept at designing, implementing, and calibrating your models.By understanding and applying these statistical models, you enhance your data science skills and effectively tackle financial challenges. What You Will LearnUnderstand the fundamentals of linear regression and its applications in financial data analysis and predictionApply generalized linear models for handling various types of data distributions and enhancing model flexibilityGain insights into regime switching models to capture different market conditions and improve financial forecastingBenchmark machine learning models against traditional statistical methods to ensure robustness and reliability in financial applications Who This Book Is ForData scientists, machine learning engineers, finance professionals, and software engineers Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.

Condition: New. In English.

Condition: New.

23.5 cm x 15.5 cm. XVI, 518 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Condition: As New. Unread book in perfect condition.

Condition: New.

Hardcover. Condition: Wie neu. 1. Auflage. privately owned book. as new from the publisher. - The interaction between mathematicians, statisticians and econometricians working in actuarial sciences and finance is producing numerous meaningful scientific results. This volume introduces new ideas, in the form of four-page papers, presented at the international conference Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF), held at Universidad Carlos III de Madrid (Spain), 4th-6th April 2018. The book covers a wide variety of subjects in actuarial science and financial fields, all discussed in the context of the cooperation between the three quantitative approaches. The topics include: actuarial models; analysis of high frequency financial data; behavioural finance; carbon and green finance; credit risk methods and models; dynamic optimization in finance; financial econometrics; forecasting of dynamical actuarial and financial phenomena; fund performance evaluation; insurance portfolio risk analysis; interest rate models; longevity risk; machine learning and soft-computing in finance; management in insurance business; models and methods for financial time series analysis, models for financial derivatives; multivariate techniques for financial markets analysis; optimization in insurance; pricing; probability in actuarial sciences, insurance and finance; real world finance; risk management; solvency analysis; sovereign risk; static and dynamic portfolio selection and management; trading systems.This book is a valuable resource for academics, PhD students, practitioners, professionals and researchers, and is also of interest to other readers with quantitative background knowledge. 518 pp. Englisch.…

Hardcover. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condition: New. In English.

Condition: New. In English.

Taschenbuch. Condition: Neu. Neuware - Reactive Publishing 'Advanced Statistical Methods with Python for Quantitative Finance' offers a comprehensive exploration of cutting-edge statistical techniques tailored for financial data analysis and quantitative trading strategies. Designed for both aspiring and professional quants, this book delves into the core statistical principles and their direct application in financial modeling using Python.Key topics include time series analysis, multivariate statistical models, Monte Carlo simulations, and risk management frameworks, all presented through practical coding examples and real-world financial datasets. Readers will learn to apply statistical inference, regression techniques, and probabilistic models to optimize portfolio performance and develop robust algorithmic trading strategies.Whether you're a data scientist, quantitative trader, or finance professional, this guide provides the tools and insights needed to harness the power of statistical methods for more effective decision-making in the financial markets.…

Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9783319024981. …

Condition: New. pp. 224.

Condition: New. In English.

Hardcover. Condition: Brand New. 1st edition. 308 pages. 9.25x6.25x0.75 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The interaction between mathematicians and statisticians reveals to be an effective approach to the analysis of insurance and financial problems, in particular in an operative perspective. The Maf2006 conference, held at the University of Salerno in 2006, had precisely this purpose and the collection here published gathers some of the papers presented at the conference and successively worked out to this aim. They cover a wide variety of subjects in insurance and financial fields, all treated in light of the successful cooperation between the two quantitative methods.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The interaction between mathematicians and statisticians reveals to be an effective approach to the analysis of insurance and financial problems, in particular in an operative perspective. The Maf2006 conference, held at the University of Salerno in 2006, had precisely this purpose and the collection here published gathers some of the papers presented at the conference and successively worked out to this aim. They cover a wide variety of subjects in insurance and financial fields, all treated in light of the successful cooperation between the two quantitative methods.…

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Very Good. Unread, with a mimimum of shelfwear. Immediately dispatched from Germany.

Condition: New.

Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

Condition: New. pp. 332.

Taschenbuch. Condition: Neu. Mathematical and Statistical Methods for Insurance and Finance | Cira Perna (u. a.) | Taschenbuch | xiv | Englisch | 2014 | Springer | EAN 9788847056015 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The interaction between mathematicians and statisticians reveals to be an effective approach to the analysis of insurance and financial problems, in particular in an operative perspective. The Maf2006 conference, held at the University of Salerno in 2006, had precisely this purpose and the collection published here gathers some of the papers presented at the conference and successively worked out to this aim. They cover a wide variety of subjects in insurance and financial fields.…