We find evidence of weak informational efficiency in the Brazilian daily foreign exchange market using Hurst exponents (Hurst 1951, 1955, Feder 1988), which offer an alternative (from statistical physics) to traditional econometric gauges. We show that a trend toward efficiency has been reverted since the crisis of 1999. We also find power laws (Mantegna and Stanley 2000) in means, volatilities, the Hurst exponents, autocorrelation times, and complexity indices of returns for varying time lags. We are grateful to an anonymous referee for useful comments. Sergio Da Silva, Annibal Figueiredo, and Iram Gleria acknowledge financial support from the Brazilian agencies CNPq and CAPES-Procad
ABSTRACT Emerging market countries play an ever important role in global capital markets, through ...
I propose a novel structural setting to investigate the dynamics of information processing on equity...
Over the last century a variety of methods have been used for forecasting financial time data series...
We find evidence of weak informational efficiency in the Brazilian daily foreign exchange market usi...
This paper is concerned with the assertion found in the financial literature that emerging markets a...
The increasing empirical evidence against the paradigm that stock markets behave efficient...
We explore the deviations from efficiency in the returns and volatility returns of Latin-American ma...
Texto completo: acesso restrito. p. 786-790We have studied the performance of the Hurst's index asso...
In efficient markets current prices reflect all available information. Past prices do not contain an...
The aim of the paper is twofold: the first one is to examine the theoretical points that constitute ...
This paper examines the behavior of financial markets efficiency during the recent financial market ...
We study the statistical physics properties of the rate of exchange of the Brazilian real against th...
This paper employs a ‘‘rolling sample’’ approach to estimate Hurst exponents for emerging markets sq...
We study price discovery in the Brazilian Foreign Exchange (FX) markets and indicate which market (s...
This letter investigates the time-varying behavior of long memory in sovereign and corporate bond in...
ABSTRACT Emerging market countries play an ever important role in global capital markets, through ...
I propose a novel structural setting to investigate the dynamics of information processing on equity...
Over the last century a variety of methods have been used for forecasting financial time data series...
We find evidence of weak informational efficiency in the Brazilian daily foreign exchange market usi...
This paper is concerned with the assertion found in the financial literature that emerging markets a...
The increasing empirical evidence against the paradigm that stock markets behave efficient...
We explore the deviations from efficiency in the returns and volatility returns of Latin-American ma...
Texto completo: acesso restrito. p. 786-790We have studied the performance of the Hurst's index asso...
In efficient markets current prices reflect all available information. Past prices do not contain an...
The aim of the paper is twofold: the first one is to examine the theoretical points that constitute ...
This paper examines the behavior of financial markets efficiency during the recent financial market ...
We study the statistical physics properties of the rate of exchange of the Brazilian real against th...
This paper employs a ‘‘rolling sample’’ approach to estimate Hurst exponents for emerging markets sq...
We study price discovery in the Brazilian Foreign Exchange (FX) markets and indicate which market (s...
This letter investigates the time-varying behavior of long memory in sovereign and corporate bond in...
ABSTRACT Emerging market countries play an ever important role in global capital markets, through ...
I propose a novel structural setting to investigate the dynamics of information processing on equity...
Over the last century a variety of methods have been used for forecasting financial time data series...