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Wyświetlanie 1-4 z 4
Tytuł:
Subsequent Movements Proportions of Share Prices Included in the WIG over Recent Years
Autorzy:
Szmagliński, A.
Powiązania:
https://bibliotekanauki.pl/articles/1400184.pdf
Data publikacji:
2013-03
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
05.45.Df
05.45.Tp
89.65.Gh
Opis:
A large amount of stock prices intraday data allow us to create a summary of subsequent movements' proportions of the collected share prices in the form of histogram. We have created two kinds of histograms: one for proportions of subsequent increasing and decreasing price movements and the second for proportions of subsequent price movements in the same direction. We have also created the same kinds of histograms for duration of price movements. All the histograms quite well fit the gamma probability distribution. The distribution coefficients' values ν and λ for price are above 1, for time are below 1. Some proportions of price movements occur more frequently than others, creating peaks on the graph. Similar regularity occurs for the time factor. This property is often used in trading.
Źródło:
Acta Physica Polonica A; 2013, 123, 3; 621-623
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Asymmetry in the Subsequent Movements Proportions of Share Prices Included in the WIG
Autorzy:
Szmagliński, A.
Powiązania:
https://bibliotekanauki.pl/articles/1388243.pdf
Data publikacji:
2015-03
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
05.45.Df
05.45.Tp
89.65.Gh
Opis:
The intraday data of stock prices allow us to collect in the form of histogram the subsequent movements' proportions in price and time. Here we continue the previous work [Acta Phys. Pol. A 123, 621 (2013)], concerning the properties of subsequent price movements' proportions in the opposite directions and proportions of subsequent price movements in the same direction. Here we distinguish between the proportions with growing and decreasing second price movement in the proportion. We investigate quantitatively the effect of breaking the turning point of resistance and support levels depending on the percentage size of price movements. In the same way we treat the main peak in the histogram for the equal subsequent price movements.
Źródło:
Acta Physica Polonica A; 2015, 127, 3A; A-136-A-138
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
World Financial 2014-2016 Market Bubbles: Oil Negative - US Dollar Positive
Autorzy:
Wątorek, M.
Drożdż, S.
Oświęcimka, P.
Powiązania:
https://bibliotekanauki.pl/articles/1398840.pdf
Data publikacji:
2016-05
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
64.60.Ht
89.65.Gh
05.45.Df
Opis:
Based on the log-periodic power law methodology, with the universal preferred scaling factor λ ≈2, the negative bubble on the oil market in 2014-2016 has been detected. Over the same period a positive bubble on the so-called commodity currencies expressed in terms of the US dollar appears to take place with the oscillation pattern which largely is mirror reflected relative to oil price oscillation pattern. It documents recent strong anticorrelation between the dynamics of the oil price and of the USD. A related forecast made at the time of FENS 2015 conference (beginning of November) turned out to be quite satisfactory. These findings provide also further indication that such a log-periodically accelerating down-trend signals termination of the corresponding decreases.
Źródło:
Acta Physica Polonica A; 2016, 129, 5; 932-936
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multifractality of Nonlinear Transformations with Application in Finances
Autorzy:
Grech, D.
Pamuła, G.
Powiązania:
https://bibliotekanauki.pl/articles/1400170.pdf
Data publikacji:
2013-03
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
05.45.Df
05.45.Tp
89.65.Gh
89.75.Da
89.75.-k
89.20.-a
05.40.-a
Opis:
We study the multifractal effects of nonlinear transformations of monofractal, stationary time series and apply the found results to measure the "true" unbiased multifractality generated only by multiscaling properties of initial (primary) data before transformations. A difference is stressed between "naive" observed multifractal effects calculated directly within detrended multifractal analysis as the spread Δh of the generalized Hurst exponents h(q) and the more reliable unbiased multifractality received after subtraction of residual bias effects generated by nonlinear transformations of initial data and coupled with finite size effects in time series. This property is investigated for volatile series of the real main world financial indices. A difference between multifractal properties of intraday and interday quotes is also pointed out in this context for the Warsaw Stock Exchange WIG index. Finally, based on the observed feature of real nonstationary data, a new measure of unbiased multifractality in signals is introduced. This measure comes from an analysis of the whole generalized Hurst exponent profile instead of looking just at its edge behavior $h^{±} ≡ h(q→ ±∞)$. Such an approach seems to be particularly useful when h(q) is not a monotonic function of the moment order q. Interesting examples with extreme events from finance are presented. They convince that an analysis directed only on investigation of the edges $h^{±}$ in multifractal spectrum may be misleading.
Źródło:
Acta Physica Polonica A; 2013, 123, 3; 529-537
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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