The class of paremetric dynamic latent variable models is becoming more and more popular in economics and finance. Dynamic disequilibrium models, latent factor models, switching regimes models, stochastic volatility models are only few examples of this class of models. Inference in this calss...

This paper develops a formal framework based on multivariate spectral techniques for assessing the performance of multivariate dynamic models whose solution is approximated through simulation. The approach is especially suitable for models that focus on a particular frequency range , such as...

This paper develops a formal framework based on multivariate spectral techniques for assesssing the performance of multivariate dynamic models whose solution is approximated through simulation. The approach is especially suitable for models that focus on a particular frequency range , such as...

Computational methods both open the frontiers of economic analysis and serve as a bottleneck in what can be achieved. Using the quantum Monte Carlo (QMC) algorithm, we are the first to study whether quantum computing can improve the run time of economic applications and challenges in doing so....

Computational methods both open the frontiers of economic analysis and serve as a bottleneck in what can be achieved. Using the quantum Monte Carlo (QMC) algorithm, we are the first to study whether quantum computing can improve the run time of economic applications and challenges in doing so....

Mr. Thomas Krawinkel's paper raises the issue of how limits on buying power in executing trades can have a significant impact on the active trader's system results or expectations. It sheds light on the fact that parallel trades consume buying power up to the point where any further trade must...

This report attempts to answer the question: What underlying portfolio should one use to hedge an active fund? We introduce a framework which allows us to conduct analysis on simulated realistic active portfolios in order to build intuition as to how hedge mismatch error affects the level of...

There is nothing like a market crash to focus the mind on the importance of risk management and, more specifically, tail risk management. Because tail events are generally systemic in nature and are characterised by elevated correlations and liquidity squeezes, effective tail risk management is...

We introduce a new method, called "customer oriented finite perturbation analysis" (CFPA), for sensitivity estimation for discrete event dynamic systems (DEDS). We discuss the CFPA algorithm and applying a new proof technique we obtain necessary conditions for CFPA to yield an unbiased estimator...

There is scant information on the spatial differentiation of the standard of living in cities. This work has therefore attempted to analyze the spatial differentiation of the standard of living of the populations of towns in a dynamic approach, on the basis of the data from the years 2002...