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Wyszukujesz frazę "forecasting theory" wg kryterium: Temat


Wyświetlanie 1-7 z 7
Tytuł:
Application of modern portfolio theory to the Russian state bond market
Autorzy:
Pervozvanskij, A.
Barinov, V.
Kozlova, O.
Powiązania:
https://bibliotekanauki.pl/articles/206658.pdf
Data publikacji:
1999
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
optymalizacja
teoria decyzji
forecasting
forecasting errors
forecasting theory
investment
portfolio optimization
Russian state bond market
statistical indices
time series
Opis:
The behaviour of the Russian state bond market is analyzed. Attention is mainly paid to short-term fluctuations and efficiency of short-term investments. Analysis of return time series has shown that there exists a significant autocorrelation, and that distribution of random fluctuations is non-Gaussian. It predetermines a choice of forecasting schemes. The most efficient ones appear to be non-linear. The efficiency was checked not only by the traditional statistical indices by direct numerical experiments where various types of predictors were used as basic elements of decision rules. The decision algorithms have included the solution to the modified optimal portfolio problem where the forecasts were used as expected returns and the covariance matrix was estimated via forecasting errors.
Źródło:
Control and Cybernetics; 1999, 28, 4; 799-810
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Deterministic chaos and forecasting in Amazon?s share prices
Autorzy:
Hanias, Michael
Tsakonas, Stefanos
Magafas, Lykourgos
Thalassinos, Eleftherios I.
Zachilas, Loukas
Powiązania:
https://bibliotekanauki.pl/articles/22444422.pdf
Data publikacji:
2020
Wydawca:
Instytut Badań Gospodarczych
Tematy:
time series
chaos theory
econophysics
forecasting
Opis:
Research background: The application of non-linear analysis and chaos theory modelling on financial time series in the discipline of Econophysics. Purpose of the article: The main aim of the article is to identify the deterministic chaotic behavior of stock prices with reference to Amazon using daily data from Nasdaq-100. Methods: The paper uses nonlinear methods, in particular chaos theory modelling, in a case study exploring and forecasting the daily Amazon stock price. Findings & Value added: The results suggest that the Amazon stock price time series is a deterministic chaotic series with a lot of noise. We calculated the invariant parameters such as the maxi-mum Lyapunov exponent as well as the correlation dimension, managed a two-days-ahead forecast through phase space reconstruction and a grouped data handling method.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2020, 15, 2; 253-273
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Deterministic chaos theory and forecasting in Social Sciences. Contribution to the discussion
Autorzy:
Donaj, Łukasz
Powiązania:
https://bibliotekanauki.pl/articles/616368.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
forecasting
social sciences
deterministic chaos theory
catastrophe theory
bifurcation
Opis:
Forecasting social phenomena may be hampered in many ways. This is because in nature of these phenomena lies strong and multilateral connection with other social phenomena; but not only – also physical and biological (natural) ones. The content of this publication constitutes presentation of chosen problems of forecasting in social sciences. The attention in the article was focused among others on deterministic chaos theory, on the attempt of its implementation to phenomena from the scope (or from borderline) of social sciences: economy, logistics, science about safety etc. Moreover, one of the threads of ponderation was the attempt to consider whether it’s possible to create so-called final theory. The aim of the publication is to signalize possibilities of taking advantage of seemingly exotic for “political scientists” methodology of modeling and explaining phenomena, having its source in exact sciences (in chaos theory) to study social phenomena and processes.
Źródło:
Przegląd Politologiczny; 2018, 1; 21-48
1426-8876
Pojawia się w:
Przegląd Politologiczny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forecasting in economic sciences in the context of chaos theory
Autorzy:
Nowak, M.
Powiązania:
https://bibliotekanauki.pl/articles/392983.pdf
Data publikacji:
2018
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
forecasting
chaos theory
epistemology
prognozowanie
teoria chaosu
epistemologia
Opis:
The aim of the article is to determine the epistemological status of forecasting in economic sciences in the context of chaos theory. Achieving the aim required the use of logical analysis and conceptual construction. The article defines two criteria for recognising a given system as being chaotic. The first one (subjective) concerns the appearance of the complexity characteristic of indeterminism. The second one (objective) concerns the occurrence of the sensitivity of the system to the initial conditions. The study examines the occurrence of both traits in economic systems and finally concludes that the epistemological status of forecasting in economic sciences is negative.
Źródło:
Organizacja i Zarządzanie : kwartalnik naukowy; 2018, 3; 95-105
1899-6116
Pojawia się w:
Organizacja i Zarządzanie : kwartalnik naukowy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of Block Maxima and Peaks Over Threshold Value-at-Risk models for market risk in various economic conditions
Autorzy:
Szubzda, Filip
Chlebus, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/1356736.pdf
Data publikacji:
2020-03-20
Wydawca:
Uniwersytet Warszawski. Wydział Nauk Ekonomicznych
Tematy:
Value-at-Risk
extreme value theory
forecasting
market risk
Opis:
The aim of the presented study was to assess the quality of VaR forecasts in various states of the economic situation. Two approaches based on the extreme value theory were compared: Block Maxima and the Peaks Over Threshold. Forecasts were made on the daily closing prices of 10 major indices in European countries, divided into two groups: emerging countries (Bulgaria, Czech Republic, Lithuania, Latvia, Poland, Slovakia and Hungary) and developed countries (England, France and Germany). Three states of economic situation were analysed: the pre-crisis (2007), the crisis (2008) and the post-crisis (2009) period as out-of-sample. The main conclusion obtained is the too slow process of adapting static EVT-based forecasts to market movements. While in the pre-crisis period the results were satisfactory, in the period of crisis VaR forecasts were too often exceeded.
Źródło:
Central European Economic Journal; 2019, 6, 53; 70 - 85
2543-6821
Pojawia się w:
Central European Economic Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Influence of IQT on research in ICT
Autorzy:
Bednarski, Bogdan J.
Lepak, Łukasz E.
Łyskawa, Jakub J.
Pieńczuk, Paweł
Rosoł, Maciej
Romaniuk, Ryszard S.
Powiązania:
https://bibliotekanauki.pl/articles/2055259.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
ICT
control theory
IQT
Information Quantum Technologies
Quantum 2.0
applications of IQT
quantum systems
qubit neural networks
quantum time series forecasting;
Quantum Reinforcement Learning
Opis:
This paper is written by a group of Ph.D. students pursuing their work in different areas of ICT, outside the direct area of Information Quantum Technologies IQT. An ambitious task was undertaken to research, by each co-author, a potential practical influence of the current IQT development on their current work. The research of co-authors span the following areas of ICT: CMOS for IQT, QEC, quantum time series forecasting, IQT in biomedicine. The intention of the authors is to show how quickly the quantum techniques can penetrate in the nearest future other, i.e. their own, areas of ICT.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 2; 259--266
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decomposition of the symptom observation matrix and grey forecasting in vibration condition monitoring of machines
Autorzy:
Cempel, C.
Powiązania:
https://bibliotekanauki.pl/articles/929868.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
zużycie maszyn
obserwacja wielowymiarowa
drganie
przestrzeń uszkodzeń
przestrzeń obserwacji
wartość graniczna symptomu
prognozowanie
teoria szarych systemów
machine wear
multidimensional observation
vibration
SVD decomposition
fault space
observation space
symptom limit value
forecasting
grey system theory
Opis:
With the tools of modern metrology we can measure almost all variables in the phenomenon field of a working machine, and many of the measured quantities can be symptoms of machine conditions. On this basis, we can form a symptom observation matrix (SOM) intended for condition monitoring and wear trend (fault) identification. On the other hand, we know that contemporary complex machines may have many modes of failure, called faults. The paper presents a method of the extraction of the information about faults from the symptom observation matrix by means of singular value decomposition (SVD), in the form of generalized fault symptoms. As the readings of the symptoms can be unstable, the moving average of the SOM is applied with success. An attempt to assess the diagnostic contribution of a primary symptom is made, and also an approach to assess the symptom limit value and to connect the SVD methodology with neural nets is considered. Finally, a condition forecasting problem is discussed and an application of grey system theory (GST) to symptom prognosis is presented. These possibilities are illustrated by processing data taken directly from the machine vibration condition monitoring area.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2008, 18, 4; 569-579
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-7 z 7

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