Showing 1 - 10 of 17
An iterative technique for the removal of artifacts caused by the near field effects of a coded aperture imaging system is presented. The technique, we we call z-Clean, first locates high energy sources within a three dimensional field of view using a least squares method and then removes the...
Persistent link: https://www.econbiz.de/10012624308
We utilize long-term memory, fractal dimension and approximate entropy as input variables for the Efficiency Index [Kristoufek & Vosvrda (2013), Physica A 392]. This way, we are able to comment on stock market efficiency after controlling for different types of inefficiencies. Applying the...
Persistent link: https://www.econbiz.de/10010398705
A major application of rescaled adjusted range analysis (RS analysis) is the study of price fluctuations in financial markets. There, the value of the Hurst constant, H, in a time series may be interpreted as an indicator of the irregularity of the price of a commodity, currency or similar...
Persistent link: https://www.econbiz.de/10010310063
We utilize long-term memory, fractal dimension and approximate entropy as input variables for the Efficiency Index [Kristoufek & Vosvrda (2013), Physica A 392]. This way, we are able to comment on stock market efficiency after controlling for different types of inefficiencies. Applying the...
Persistent link: https://www.econbiz.de/10010407497
We utilize long-term memory, fractal dimension and approximate entropy as input variables for the Efficiency Index [Kristoufek & Vosvrda (2013), Physica A 392]. This way, we are able to comment on stock market efficiency after controlling for different types of inefficiencies. Applying the...
Persistent link: https://www.econbiz.de/10010958895
The paper develops an algorithm for making long-term (up to three months ahead) predictions of volatility reversals based on long memory properties of financial time series. The approach for computing fractal dimension using sequence of the minimal covers with decreasing scale is used to...
Persistent link: https://www.econbiz.de/10011267868
Complexity is one of the most important characteristic properties of the economic behaviour. The new field of knowledge called Chaotic Dynamic Economics born precisely with the objective of understanding, structuring and explaining in an endogenous way such complexity. In this paper, and after...
Persistent link: https://www.econbiz.de/10011273021
In this study, features of financial returns of PSI20 index, related to market efficiency, are captured using wavelet and entropy based techniques. This characterization includes the following points. First, the detection of long memory, associated to low frequencies, and a global measure of the...
Persistent link: https://www.econbiz.de/10010834001
The chaos theory assumes that the returns dynamics are not normally distributed and more complex approaches have to be used to study these time series. In fact, the Fractal Market Hypothesis assumes that the returns dynamics are not independent of the investors’ attitudes and represent the...
Persistent link: https://www.econbiz.de/10005835468
Economic theory tells that a command system allocates resources poorly because of the impossibility of economic calculation. Therefore, once prices are freed and start to operate at quasi-equilibrium (market-clearing) levels, the hidden inefficiencies come into the open and a massive resource...
Persistent link: https://www.econbiz.de/10005837452