1.

Record Nr.

UNINA9910299655903321

Autore

Cao Guangxi

Titolo

Multifractal Detrended Analysis Method and Its Application in Financial Markets / / by Guangxi Cao, Ling-Yun He, Jie Cao

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018

ISBN

981-10-7916-1

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (255 pages) : illustrations

Disciplina

332.015192

Soggetti

Financial engineering

Big data

Financial Engineering

Big Data/Analytics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Chapter 1 Introduction -- Chapter 2 Long Memory Methods and Comparative Analysis -- Chapter 3 Multifractal Detrended Fluctuation Analysis (MF-DFA) -- Chapter 4 Multifractal Detrended Cross-Correlation Analysis (MF-DCCA) -- Chapter 5 Asymmetric Multifractal Detrended Fluctuation Analysis (MF-ADFA) -- Chapter 6 Asymmetric Multifractal Detrended Cross-Correlation Analysis (MF-ADCCA) -- Chapter 7 Asymmetric DCCA Cross-Correlation Coeffcient -- Chapter 8 Simulation - Taking DMCA as an Example -- Chapter 9 Multifractal Dentrend Method with Different Filtering -- Chapter 10 Risk Analysis Based on Multifractal Detrended Method.

Sommario/riassunto

This book collects high-quality papers on the latest fundamental advances in the state of Econophysics and Management Science, providing insights that address problems concerning the international economy, social development and economic security. This book applies the multi-fractal detrended class method, and improves the method with different filters. The authors apply those methods to a variety of areas: financial markets, energy markets, gold market and so on. This book is arguably a systematic research and summary of various kinds of multi-fractal detrended methods. Furthermore, it puts forward some investment suggestions on a healthy development of financial markets.