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| Author | : Oliver Linton |
| Publisher | : Cambridge University Press |
| Total Pages | : 585 |
| Release | : 2019-02-21 |
| Genre | : Business & Economics |
| ISBN | : 1107177154 |
Presents an up-to-date treatment of the models and methodologies of financial econometrics by one of the world's leading financial econometricians.
| Author | : Svetlozar T. Rachev |
| Publisher | : John Wiley & Sons |
| Total Pages | : 560 |
| Release | : 2007-03-22 |
| Genre | : Business & Economics |
| ISBN | : 0470121521 |
A comprehensive guide to financial econometrics Financial econometrics is a quest for models that describe financial time series such as prices, returns, interest rates, and exchange rates. In Financial Econometrics, readers will be introduced to this growing discipline and the concepts and theories associated with it, including background material on probability theory and statistics. The experienced author team uses real-world data where possible and brings in the results of published research provided by investment banking firms and journals. Financial Econometrics clearly explains the techniques presented and provides illustrative examples for the topics discussed. Svetlozar T. Rachev, PhD (Karlsruhe, Germany) is currently Chair-Professor at the University of Karlsruhe. Stefan Mittnik, PhD (Munich, Germany) is Professor of Financial Econometrics at the University of Munich. Frank J. Fabozzi, PhD, CFA, CFP (New Hope, PA) is an adjunct professor of Finance at Yale University’s School of Management. Sergio M. Focardi (Paris, France) is a founding partner of the Paris-based consulting firm The Intertek Group. Teo Jasic, PhD, (Frankfurt, Germany) is a senior manager with a leading international management consultancy firm in Frankfurt.
| Author | : Frank J. Fabozzi |
| Publisher | : John Wiley & Sons |
| Total Pages | : 433 |
| Release | : 2014-03-04 |
| Genre | : Business & Economics |
| ISBN | : 1118727231 |
An accessible guide to the growing field of financial econometrics As finance and financial products have become more complex, financial econometrics has emerged as a fast-growing field and necessary foundation for anyone involved in quantitative finance. The techniques of financial econometrics facilitate the development and management of new financial instruments by providing models for pricing and risk assessment. In short, financial econometrics is an indispensable component to modern finance. The Basics of Financial Econometrics covers the commonly used techniques in the field without using unnecessary mathematical/statistical analysis. It focuses on foundational ideas and how they are applied. Topics covered include: regression models, factor analysis, volatility estimations, and time series techniques. Covers the basics of financial econometrics—an important topic in quantitative finance Contains several chapters on topics typically not covered even in basic books on econometrics such as model selection, model risk, and mitigating model risk Geared towards both practitioners and finance students who need to understand this dynamic discipline, but may not have advanced mathematical training, this book is a valuable resource on a topic of growing importance.
| Author | : Ly H. Anh |
| Publisher | : Springer |
| Total Pages | : 1089 |
| Release | : 2017-12-18 |
| Genre | : Technology & Engineering |
| ISBN | : 3319731505 |
This book addresses both theoretical developments in and practical applications of econometric techniques to finance-related problems. It includes selected edited outcomes of the International Econometric Conference of Vietnam (ECONVN2018), held at Banking University, Ho Chi Minh City, Vietnam on January 15-16, 2018. Econometrics is a branch of economics that uses mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. An extremely important part of economics is finances: a financial crisis can bring the whole economy to a standstill and, vice versa, a smart financial policy can dramatically boost economic development. It is therefore crucial to be able to apply mathematical techniques of econometrics to financial problems. Such applications are a growing field, with many interesting results – and an even larger number of challenges and open problems.
| Author | : Derbali, Abdelkader Mohamed Sghaier |
| Publisher | : IGI Global |
| Total Pages | : 458 |
| Release | : 2024-03-18 |
| Genre | : Business & Economics |
| ISBN | : |
The field of Financial Management & Economics (FME) is constantly adapting to the changing economic landscape, observing the ongoing developments in the global business environment. These shifting dynamics have introduced a variety of influences, both fleeting and enduring, that deeply affect the decision-making foundations within the business arena. Researchers are tasked with shedding light on the bigger picture, capturing the essence of both subtle and significant shifts. As they confront unprecedented challenges, the imperative to document and comprehend these transformations resonates more urgently than ever before. Recent Developments in Financial Management and Economics is a work that beckons academics, researchers, and industry professionals to engage in the exploration of these changes. This book has a singular objective: to provide professionals, academics, and researchers with new theoretical frameworks and the latest empirical research findings. The book focuses on trust as a key driver, influencing different levels of Financial Management & Economics. It explores trust across the global economy and individual interactions in networked settings, offering guidance for navigating the complexities of today's interconnected financial and economic systems.
| Author | : Stan Hurn |
| Publisher | : Oxford University Press, USA |
| Total Pages | : |
| Release | : 2020-02 |
| Genre | : Finance |
| ISBN | : 9780190857066 |
"An introduction to the field of financial econometrics, focusing on providing an introduction for undergraduate and postgraduate students whose math skills may not be at the most advanced level, but who need this material to pursue careers in research and the financial industry"--
| Author | : Y. Huang |
| Publisher | : Springer |
| Total Pages | : 233 |
| Release | : 2010-11-24 |
| Genre | : Business & Economics |
| ISBN | : 0230302491 |
A PDF version of this book is available for free in open access via the OAPEN Library platform, www.oapen.org. This book examines the emergence of both financial markets and carbon markets, and provides an in-depth investigation on the fundamental determinants of financial development.
| Author | : Massimo Guidolin |
| Publisher | : Academic Press |
| Total Pages | : 435 |
| Release | : 2018-05-29 |
| Genre | : Business & Economics |
| ISBN | : 0128134100 |
Essentials of Time Series for Financial Applications serves as an agile reference for upper level students and practitioners who desire a formal, easy-to-follow introduction to the most important time series methods applied in financial applications (pricing, asset management, quant strategies, and risk management). Real-life data and examples developed with EViews illustrate the links between the formal apparatus and the applications. The examples either directly exploit the tools that EViews makes available or use programs that by employing EViews implement specific topics or techniques. The book balances a formal framework with as few proofs as possible against many examples that support its central ideas. Boxes are used throughout to remind readers of technical aspects and definitions and to present examples in a compact fashion, with full details (workout files) available in an on-line appendix. The more advanced chapters provide discussion sections that refer to more advanced textbooks or detailed proofs. - Provides practical, hands-on examples in time-series econometrics - Presents a more application-oriented, less technical book on financial econometrics - Offers rigorous coverage, including technical aspects and references for the proofs, despite being an introduction - Features examples worked out in EViews (9 or higher)
| Author | : Chris Brooks |
| Publisher | : Cambridge University Press |
| Total Pages | : 752 |
| Release | : 2008-05-22 |
| Genre | : Business & Economics |
| ISBN | : 1139472305 |
This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. Key features: • Thoroughly revised and updated, including two new chapters on panel data and limited dependent variable models • Problem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models • Detailed examples and case studies from finance show students how techniques are applied in real research • Sample instructions and output from the popular computer package EViews enable students to implement models themselves and understand how to interpret results • Gives advice on planning and executing a project in empirical finance, preparing students for using econometrics in practice • Covers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methods • Thoroughly class-tested in leading finance schools. Bundle with EViews student version 6 available. Please contact us for more details.
| Author | : Simona Boffelli |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2016 |
| Genre | : Finance |
| ISBN | : 9781597182140 |
Financial Econometrics Using Stata is an essential reference for graduate students, researchers, and practitioners who use Stata to perform intermediate or advanced methods. After discussing the characteristics of financial time series, the authors provide introductions to ARMA models, univariate GARCH models, multivariate GARCH models, and applications of these models to financial time series. The last two chapters cover risk management and contagion measures. After a rigorous but intuitive overview, the authors illustrate each method by interpreting easily replicable Stata examples.
