The financial industry is swamped by credit products whose economic performance is linked to the performance of some underlying portfolio of credit-risky instruments, like loans, bonds, swaps, or as……続きを見る
This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector. It examines the role of artifici……続きを見る
This book is about doing microeconometrics, defined by Cameron and Trivedi as "the analysis of individual-level data on the economic behavior of individuals or firms using regression methods applied……続きを見る
Prof. Pedro A. Morettin is a Distinguished Professor of Statistics at the Institute of Mathematics and Statistics of the University of São Paulo (IME-USP), where he has built an academic career span……続きを見る
Dieses Buch vereinigt Konzepte und Methoden der stochastischen Modellbildung, der statistischen Analyse und der aktuariellen Anwendung in einem Band.
Dabei wird eine kompakte, aber dennoch für Theor……続きを見る
著者:Noemí Cuello
出版社: Editorial Universidad Católica de Córdoba
発売日: 2024年12月30日
Esta obra integra contenidos de las materias de estadística descriptiva e inferencial básica. Contiene ejercicios basados en situaciones cotidianas de la realidad empresarial, que abarcan temas de a……続きを見る
著者:Lingjie Ma
出版社: Springer Nature Switzerland
発売日: 2025年01月10日
This book focuses on nonlinear investing with a quantamental approach. Pricing relationships in financial markets are often nonlinear, which raises serious questions for portfolio management: How ca……続きを見る
This databook provides S&P 500 seasonality statistics (from 1980 to 2024) of all daily data, bull and bear markets, 4 years cycle, 10 years cycle, month, week, week in a month, week in months, weekd……続きを見る
Kennen sie das? Sie möchten in eine Kryptowährung investieren und eine Technische Analyse durchführen, finden bei den Standard-Tools aber nicht das passende Werkzeug oder die benötigte Software ist ……続きを見る
This book is a comprehensive guide to methodologies for analyzing reliability and optimizing maintenance in complex systems, spanning from initial design to operational stages. The book comprises 20……続きを見る
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, f……続きを見る
WINNER of a Riskbook.com Best of 2004 Book Award!
During the last decade, financial models based on jump processes have acquired increasing popularity in risk management and option pricing. Much has……続きを見る
Are you ready to embark on an exhilarating journey through the wild world of modern entrepreneurship? Buckle up, because "From Dalgona to Disruption: Thriving in the AI-Driven New Normal" is your ul……続きを見る
This volume encompasses many new types of constraints and clustering methods as well as delivers thorough coverage of the capabilities and limitations of constrained clustering. With contributions f……続きを見る
Extreme value theory (EVT) deals with extreme (rare) events, which are sometimes reported as outliers. Certain textbooks encourage readers to remove outliers-in other words, to correct reality if it……続きを見る
Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts,……続きを見る
When scientists formulate their theories, expectations, and hypotheses, they often use statements like: ``I expect mean A to be bigger than means B and C"; ``I expect that the relation between Y and……続きを見る
One of Riskbook.com's Best of 2005 - Top Ten Finance Books The Libor market model remains one of the most popular and advanced tools for modelling interest rates and interest rate derivatives, but f……続きを見る
Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extrac……続きを見る
The Encyclopedic Dictionary of International Finance and Banking is a practical reference of proven techniques, strategies, and approaches. It covers virtually all important topics dealing with mult……続きを見る
Providing the expertise of an internal business consultant to one of the largest issuers of mortgage securities, Investing in Mortgage Securities serves as a high-level introduction to mortgage secu……続きを見る
Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the eco……続きを見る
Despite the unobserved components model (UCM) having many advantages over more popular forecasting techniques based on regression analysis, exponential smoothing, and ARIMA, the UCM is not well know……続きを見る
Featuring international contributors from both industry and academia, Numerical Methods for Finance explores new and relevant numerical methods for the solution of practical problems in finance. It ……続きを見る
Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including vine copula modeling of high-dimensional data. Vine copula mod……続きを見る
Because of its potential to ...predict the unpredictable,... extreme value theory (EVT) and methodology is currently receiving a great deal of attention from statistical and mathematical researchers……続きを見る
Handbook of Empirical Economics and Finance explores the latest developments in the analysis and modeling of economic and financial data. Well-recognized econometric experts discuss the rapidly grow……続きを見る
While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the field are often overlooked or restricted to a few well-known ……続きを見る