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Persistent link: https://www.econbiz.de/10009765832
The Scaled Model of Error has gained considerable popularity during the past ten years as a device for computing probabilistic population forecasts of the cohort-component type. In this report we investigate how sensitive probabilistic population forecasts produced by means of the Scaled Model...
Persistent link: https://www.econbiz.de/10008772871
In this article, the Universal Approximation Theorem of Artificial Neural Networks (ANNs) is applied to the SABR stochastic volatility model in order to construct highly efficient representations. Initially, the SABR approximation of Hagan et al. [2002] is considered, then a more accurate...
Persistent link: https://www.econbiz.de/10012907596
Macroeconomic analysis in Lebanon presents a distinct challenge. For example, long delays in the publication of GDP data mean that our analysis often relies on proxy variables, and resembles an extended version of the 'nowcasting' challenge familiar to many central banks. Addressing this...
Persistent link: https://www.econbiz.de/10012993727
We propose a novel approach to the statistical analysis of simulation models and, especially, agent-based models (ABMs). Our main goal is to provide a fully automated and model-independent tool-kit to inspect simulations and perform counter-factual analysis. Our approach: (i) is easy-to-use by...
Persistent link: https://www.econbiz.de/10012308914
such as VAR and DSGE models has long been identified as an important yet problematic issue in the literature. This is due … methodology to multivariate settings and validates the extension on VAR and DGSE models. The paper then carries out a comparison …
Persistent link: https://www.econbiz.de/10012018797
This paper will outline the functionality available in the CovRegpy package for actuarial practitioners, wealth managers, fund managers, and portfolio analysts written in Python 3.7. The major contributions of CovRegpy can be found in the CovRegpy_DCC.py, CovRegpy_IFF.py, CovRegpy_RCR.py,...
Persistent link: https://www.econbiz.de/10014253907
In this paper, we propose a new procedure for unconditional and conditional forecasting in agent-based models. The proposed algorithm is based on the application of amortized neural networks and consists of two steps. The first step simulates artificial datasets from the model. In the second...
Persistent link: https://www.econbiz.de/10014346187
The paper examines the application of semi-Markov models to the phenomenon of earthquakes in Tehran province. Generally, earthquakes are not independent of each other, and time and place of earthquakes are related to previous earthquakes; moreover, the time between earthquakes affects the...
Persistent link: https://www.econbiz.de/10009758833
Persistent link: https://www.econbiz.de/10012666104