Linear and Non-Linear Financial Econometrics

Linear and Non-Linear Financial Econometrics
Author: Mehmet Terzioğlu
Publisher: BoD – Books on Demand
Total Pages: 339
Release: 2021-03-17
Genre: Business & Economics
ISBN: 1839624868

The importance of experimental economics and econometric methods increases with each passing day as data quality and software performance develops. New econometric models are developed by diverging from earlier cliché econometric models with the emergence of specialized fields of study. This book, which is expected to be an extensive and useful reference by bringing together some of the latest developments in the field of econometrics, also contains quantitative examples and problem sets. We thank all the authors who contributed to this book with their studies that provide extensive and accessible explanations of the existing econometric methods.

Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models

Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models
Author: G. Gregoriou
Publisher: Palgrave Macmillan
Total Pages: 0
Release: 2010-12-21
Genre: Business & Economics
ISBN: 9780230283657

This book investigates several competing forecasting models for interest rates, financial returns, and realized volatility, addresses the usefulness of nonlinear models for hedging purposes, and proposes new computational techniques to estimate financial processes.

Advances in Non-linear Economic Modeling

Advances in Non-linear Economic Modeling
Author: Frauke Schleer-van Gellecom
Publisher: Springer Science & Business Media
Total Pages: 268
Release: 2013-12-11
Genre: Business & Economics
ISBN: 3642420397

In recent years nonlinearities have gained increasing importance in economic and econometric research, particularly after the financial crisis and the economic downturn after 2007. This book contains theoretical, computational and empirical papers that incorporate nonlinearities in econometric models and apply them to real economic problems. It intends to serve as an inspiration for researchers to take potential nonlinearities in account. Researchers should be aware of applying linear model-types spuriously to problems which include non-linear features. It is indispensable to use the correct model type in order to avoid biased recommendations for economic policy.

Non-Linear Time Series Models in Empirical Finance

Non-Linear Time Series Models in Empirical Finance
Author: Philip Hans Franses
Publisher: Cambridge University Press
Total Pages: 299
Release: 2000-07-27
Genre: Business & Economics
ISBN: 0521770416

This 2000 volume reviews non-linear time series models, and their applications to financial markets.

Optimization in Economics and Finance

Optimization in Economics and Finance
Author: Bruce D. Craven
Publisher: Springer Science & Business Media
Total Pages: 174
Release: 2005-10-24
Genre: Business & Economics
ISBN: 0387242805

Some recent developments in the mathematics of optimization, including the concepts of invexity and quasimax, have not yet been applied to models of economic growth, and to finance and investment. Their applications to these areas are shown in this book.

Nonlinearities in Economics

Nonlinearities in Economics
Author: Giuseppe Orlando
Publisher: Springer Nature
Total Pages: 361
Release: 2021-08-31
Genre: Business & Economics
ISBN: 3030709825

This interdisciplinary book argues that the economy has an underlying non-linear structure and that business cycles are endogenous, which allows a greater explanatory power with respect to the traditional assumption that dynamics are stochastic and shocks are exogenous. The first part of this work is formal-methodological and provides the mathematical background needed for the remainder, while the second part presents the view that signal processing involves construction and deconstruction of information and that the efficacy of this process can be measured. The third part focuses on economics and provides the related background and literature on economic dynamics and the fourth part is devoted to new perspectives in understanding nonlinearities in economic dynamics: growth and cycles. By pursuing this approach, the book seeks to (1) determine whether, and if so where, common features exist, (2) discover some hidden features of economic dynamics, and (3) highlight specific indicators of structural changes in time series. Accordingly, it is a must read for everyone interested in a better understanding of economic dynamics, business cycles, econometrics and complex systems, as well as non-linear dynamics and chaos theory.

Introductory Econometrics for Finance

Introductory Econometrics for Finance
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.

The Basics of Financial Econometrics

The Basics of Financial Econometrics
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.

Economic Growth and Financial Development

Economic Growth and Financial Development
Author: Muhammad Shahbaz
Publisher: Springer Nature
Total Pages: 245
Release: 2021-09-21
Genre: Business & Economics
ISBN: 3030790037

This book looks into the relationship between financial development, economic growth, and the possibility of a potential capital flight in the transmission process. It also examines the important role that financial institutions, financial markets, and country-level institutional factors play in economic growth and their impact on capital flight in emerging economies. By presenting new theoretical insights and empirical country studies as well as econometric approaches, the authors focus on the relationship between financial development and economic growth with capital flight in the era of financial crisis. Therefore, this book is a must-read for researchers, scholars, and policy-makers, interested in a better understanding of economic growth and financial development of emerging economies alike.

Complex Systems in Finance and Econometrics

Complex Systems in Finance and Econometrics
Author: Robert A. Meyers
Publisher: Springer Science & Business Media
Total Pages: 919
Release: 2010-11-03
Genre: Business & Economics
ISBN: 1441977007

Finance, Econometrics and System Dynamics presents an overview of the concepts and tools for analyzing complex systems in a wide range of fields. The text integrates complexity with deterministic equations and concepts from real world examples, and appeals to a broad audience.