Results 21 to 30 of about 229 (64)

Continuous invertibility and stable QML estimation of the EGARCH(1,1) model [PDF]

open access: yes, 2012
We introduce the notion of continuous invertibility on a compact set for volatility models driven by a Stochastic Recurrence Equation (SRE). We prove the strong consistency of the Quasi Maximum Likelihood Estimator (QMLE) when the optimization procedure ...
Wintenberger, Olivier
core   +5 more sources

A Bayesian Networks Approach to Operational Risk

open access: yes, 2010
A system for Operational Risk management based on the computational paradigm of Bayesian Networks is presented. The algorithm allows the construction of a Bayesian Network targeted for each bank using only internal loss data, and takes into account in a ...
Aquaro, V.   +5 more
core   +1 more source

Price dynamics and trading volume: A semiparametric approach [PDF]

open access: yes, 2003
In this paper we investigate the relation between price impact and trading volume for a sample of stocks listed on the New York Stock Exchange. The parametric VAR-models that have been used in the literature impose strong proportionality and symmetry ...
Nijman, T.E.   +2 more
core   +3 more sources

Social Media Impact on the ‘Cosmos’ Blockchain Ecosystem: State and Prospect

open access: yesData Science Journal
The proliferation of blockchain technology heralds transformative impacts across various sectors, offering decentralization, transparency, and enhanced security.
Ivan Pavlyshyn   +4 more
doaj   +1 more source

Near-integrated GARCH sequences

open access: yes, 2005
Motivated by regularities observed in time series of returns on speculative assets, we develop an asymptotic theory of GARCH(1,1) processes {y_k} defined by the equations y_k=\sigma_k\epsilon_k, \sigma_k^2=\omega +\alpha y_{k-1}^2+\beta \sigma_{k-1}^2 ...
Berkes, Istvan   +2 more
core   +1 more source

Forecasting electronic money trends in Indonesia using neural network models: A comparative analysis

open access: yesMajalah Ilmiah Matematika dan Statistika
Forecasting electronic money transaction values is essential for effective financial planning and decision-making in various industries. This study evaluates the performance of three neural network models, which are Extreme Learning Machines (ELM ...
Umi Mahmudah   +2 more
doaj   +1 more source

Extremal behavior of stochastic volatility models [PDF]

open access: yes, 2005
Empirical volatility changes in time and exhibits tails, which are heavier than normal. Moreover, empirical volatility has - sometimes quite substantial - upwards jumps and clusters on high levels.
Fasen, V.   +2 more
core   +2 more sources

A Continuous Time GARCH Process of Higher Order [PDF]

open access: yes, 2005
A continuous time GARCH model of order (p,q) is introduced, which is driven by a single Lévy process. It extends many of the features of discrete time GARCH(p,q) processes to a continuous time setting.
Brockwell, Peter J.   +2 more
core   +2 more sources

Asymptotic equivalence for inference on the volatility from noisy observations

open access: yes, 2011
We consider discrete-time observations of a continuous martingale under measurement error. This serves as a fundamental model for high-frequency data in finance, where an efficient price process is observed under microstructure noise.
Reiß, Markus
core   +1 more source

Modelling stock returns with AR-GARCH processes [PDF]

open access: yes, 2004
Financial returns are often modelled as autoregressive time series with random disturbances having conditional heteroscedastic variances, especially with GARCH type processes.
Ferenstein, Elzbieta, Gasowski, Miroslaw
core   +2 more sources

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