The purpose of the present work is to study the fractal properties of the London Metal Exchange (LME) returns time series. Special emphasis is given to the fundamental issue of detection, identification, and measurement of scaling behaviour of LME returns time series. A fractal approach through ARFIMA models is used to analyze the LME time series. The stable distribution has also been used in order to test the Fractal Market Hypothesis (FMH) in the case of LME market. It is demonstrated that LME returns data possess to some extent fractal properties. The findings are in line with the FMH.ARFIMA model, stable distribution, Fractal Market Hypothesis
This paper presents the multifractal model of asset returns (“MMAR”), based upon the pioneering rese...
This paper investigates the fractal behaviour of the electric spot prices traded in some European ma...
Cowles Foundation Discussion Paper, n° 1166/1997This paper presents the first empirical investigatio...
The purpose of the present work is to study the fractal properties of the London Metal Exchange (LME...
This paper provides a review of the Fractal Market Hypothesis (FMH) focusing on financial times seri...
It is argued that the study of the correct specification of returns distributions has attractive imp...
Abstract: Multi-fractal processes have been proposed as a new formalism for modeling the time series...
This paper provides a review of the Fractal Market Hypothesis (FMH) focusing on financial times ser...
When studying the financial markets, the currency quotations of the Russian ruble / US dollar pair a...
When studying the financial markets, the currency quotations of the Russian ruble / US dollar pair a...
The price dynamics of gold and silver have long been a matter of popular concern and fascination. Th...
Commodity price behavior holds much interest not only because these markets are affected by waves of...
Existing empirical evidence of distributional scaling in financial returns has helped motivate the u...
Cowles Foundation Discussion Paper, n° 1166/1997This paper presents the first empirical investigatio...
Abstract — This paper explores the conceptual background to financial time series analysis and finan...
This paper presents the multifractal model of asset returns (“MMAR”), based upon the pioneering rese...
This paper investigates the fractal behaviour of the electric spot prices traded in some European ma...
Cowles Foundation Discussion Paper, n° 1166/1997This paper presents the first empirical investigatio...
The purpose of the present work is to study the fractal properties of the London Metal Exchange (LME...
This paper provides a review of the Fractal Market Hypothesis (FMH) focusing on financial times seri...
It is argued that the study of the correct specification of returns distributions has attractive imp...
Abstract: Multi-fractal processes have been proposed as a new formalism for modeling the time series...
This paper provides a review of the Fractal Market Hypothesis (FMH) focusing on financial times ser...
When studying the financial markets, the currency quotations of the Russian ruble / US dollar pair a...
When studying the financial markets, the currency quotations of the Russian ruble / US dollar pair a...
The price dynamics of gold and silver have long been a matter of popular concern and fascination. Th...
Commodity price behavior holds much interest not only because these markets are affected by waves of...
Existing empirical evidence of distributional scaling in financial returns has helped motivate the u...
Cowles Foundation Discussion Paper, n° 1166/1997This paper presents the first empirical investigatio...
Abstract — This paper explores the conceptual background to financial time series analysis and finan...
This paper presents the multifractal model of asset returns (“MMAR”), based upon the pioneering rese...
This paper investigates the fractal behaviour of the electric spot prices traded in some European ma...
Cowles Foundation Discussion Paper, n° 1166/1997This paper presents the first empirical investigatio...