Arbeitspapier
Parameter estimation and forecasting for multiplicative lognormal cascades
We study the well-known multiplicative Lognormal cascade process in which the multiplication of Gaussian and Lognormally distributed random variables yields time series with intermittent bursts of activity. Due to the non-stationarity of this process and the combinatorial nature of such a formalism, its parameters have been estimated mostly by fitting the numerical approximation of the associated non-Gaussian pdf to empirical data, cf. Castaing et al. [Physica D, 46, 177 (1990)]. More recently, an alternative estimator based upon qth order absolute moments has been introduced by Kiyono et al. [Phys. Rev. E 76 41113 (2007)]. In this paper, we pursue this moment-based approach further and develop a more rigorous Generalized Method of Moments (GMM) estimation procedure to cope with the documented difficulties of previous methodologies. We show that even under uncertainty about the actual number of cascade steps, our methodology yields very reliable results for the estimated intermittency parameter. Employing the Levinson-Durbin algorithm for best linear forecasts, we also show that estimated parameters can be used for forecasting the evolution of the turbulent flow. We compare forecasting results from the GMM and Kiyono et al.'s procedure via Monte Carlo simulations. We finally test the applicability of our approach by estimating the intermittency parameter and forecasting of volatility for a sample of financial data from stock and foreign exchange markets.
- Sprache
-
Englisch
- Erschienen in
-
Series: Kiel Working Paper ; No. 1746
- Klassifikation
-
Wirtschaft
Single Equation Models; Single Variables: General
Asset Pricing; Trading Volume; Bond Interest Rates
- Thema
-
random Lognormal cascades
GMM estimation
best linear forecasting
volatility of financial returns
Zeitreihenanalyse
Schätztheorie
Momentenmethode
Theorie
Kapitalertrag
Börsenkurs
Wechselkurs
Volatilität
Prognoseverfahren
Schätzung
Welt
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Leövey, Andrés E.
Lux, Thomas
- Ereignis
-
Veröffentlichung
- (wer)
-
Kiel Institute for the World Economy (IfW)
- (wo)
-
Kiel
- (wann)
-
2011
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Leövey, Andrés E.
- Lux, Thomas
- Kiel Institute for the World Economy (IfW)
Entstanden
- 2011
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