In this work we apply two different methods to estimate the relative entropy of foreign exchange mar-kets and stock markets. The first method uses relative entropy with the volatility probability distribu-tion obtained from the solution of the Fokker-Planck equation of the Heston model corresponding to the financial information in each case [1]. The second method is the approximate entropy proposed by Pincus et al [2]. The results were compared with standard measures of weak efficiency such as the Geary test and the autocorrelation function. The relative entropy is used as a measure of stability and maturity of financial markets from financial information of some considered emerging market
We utilize long-term memory, fractal dimension and approximate entropy as input variables for the Ef...
This paper investigates the degree of efficiency for the Moscow Stock Exchange. A market is called ...
Financial markets are generally categorised as either efficient or inefficient with respect to each ...
AbstractMarket efficiency analysis is an important aspect in financial engineering.Based on weak-for...
We investigate the relative information efficiency of financial markets by measuring the entropy of ...
This work studies stock markets efficiency and predictability using the information-theoretic concep...
In this paper, I propose a methodology to study the comovement between the entropy of different fina...
In this paper, I propose a methodology to study the comovement between the entropy of different fina...
This paper investigates the degree of efficiency for the Moscow Stock Exchange. A market is called e...
We investigate the relative market efficiency in financial market data, using the approximate entrop...
AbstractThe application of entropy in finance can be regarded as the extension of information entrop...
We investigate the strength and direction of information flow between exchange rates and stock price...
We investigate the relative information efficiency of financial markets by measuring the entropy of ...
This paper investigates the degree of efficiency for the Moscow Stock Exchange. A market is called ...
This paper investigates the degree of efficiency for the Moscow Stock Exchange. A market is called ...
We utilize long-term memory, fractal dimension and approximate entropy as input variables for the Ef...
This paper investigates the degree of efficiency for the Moscow Stock Exchange. A market is called ...
Financial markets are generally categorised as either efficient or inefficient with respect to each ...
AbstractMarket efficiency analysis is an important aspect in financial engineering.Based on weak-for...
We investigate the relative information efficiency of financial markets by measuring the entropy of ...
This work studies stock markets efficiency and predictability using the information-theoretic concep...
In this paper, I propose a methodology to study the comovement between the entropy of different fina...
In this paper, I propose a methodology to study the comovement between the entropy of different fina...
This paper investigates the degree of efficiency for the Moscow Stock Exchange. A market is called e...
We investigate the relative market efficiency in financial market data, using the approximate entrop...
AbstractThe application of entropy in finance can be regarded as the extension of information entrop...
We investigate the strength and direction of information flow between exchange rates and stock price...
We investigate the relative information efficiency of financial markets by measuring the entropy of ...
This paper investigates the degree of efficiency for the Moscow Stock Exchange. A market is called ...
This paper investigates the degree of efficiency for the Moscow Stock Exchange. A market is called ...
We utilize long-term memory, fractal dimension and approximate entropy as input variables for the Ef...
This paper investigates the degree of efficiency for the Moscow Stock Exchange. A market is called ...
Financial markets are generally categorised as either efficient or inefficient with respect to each ...