Czasopismo
Tytuł artykułu
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Abstrakty
In the remaining part we discuss the models developed in the stochastic approach. These models, as a rule, are being assigned to financial econometrics. These are models developed to analyze financial data, for the simulation, forecasting or decision-making objectives. In addition, financial econometrics tools verify the models developed by financial economics and financial mathematics.(fragment of text)
Twórcy
autor
- Wrocław University of Economics, Poland
Bibliografia
- Bollerslev, T. (1990), Modeling the coherence in short-term nominal exchange rates: a multivariate generalized ARCH approach, Review of Economics and Statistics, 72, 498-505.
- Brooks, C. (2002), Introductory econometrics for finance, Cambridge University Press, Cambridge.
- Chan, N. H. (2002), Time series. Applications to finance, Wiley, New York.
- Darsow, W. F., Nguyen, B., Olsen, E. T. (1992), Copulas and Markov processes, Illinois Journal of Mathematics, 36, 600-642.
- Engle, R. (2002), Dynamic conditional correlation: a simple class of multivariate GARCH models, Journal of Business and Economic Statistics, 20, 339-350.
- Jondeau, E., Rockinger, M. (2002), Conditional dependency of financial series: the copula-GARCH model, FAME, working paper.
- Mills, T. (1999), The econometric modeling of financial time series, 2nd ed., Cambridge University Press, Cambridge.
- Sklar, A. (1959), Fonctions de repartition à n dimensions et leurs marges, Publications de l'Institut de Statistique de l'Université de Paris, 8, 229-231.
- Tsay, R. S. (2002), Analysis of financial time series, Wiley, New York.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171296573