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Total Factor Productivity (TFP)is often used on the macro-economic level as an indicator of changes in efficiency of a country. In many transition economies TFP is seen to have been negative the last decade of the plan economy and starts increasing and become positive after a (quite a) few years...
Persistent link: https://www.econbiz.de/10011346474
the underlying statistical distributions, a variety of analyticalmethods and simulation-based methods are available. Aside … orhistorical and Monte Carlo simulation methods. Although these approaches to overall VaR estimation have receivedsubstantial … and incremental VaR in either a non-normal analytical setting or a MonteCarlo / historical simulation context.This paper …
Persistent link: https://www.econbiz.de/10011301159
not too rare to be found by a reasonable mutation process, and that typical simulation paths take the population from …
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In this article we consider the efficient estimation of the tail distribution of the maximum of correlated normal random variables. We show that the currently recommended Monte Carlo estimator has difficulties in quantifying its precision, because its sample variance estimator is an inefficient...
Persistent link: https://www.econbiz.de/10011431354
simulation algorithm exists for this process, at present this is not the case for the Heston stochastic volatility model, where … preferred discretisation method for simulation of the Heston model and extensions thereof. …
Persistent link: https://www.econbiz.de/10011349176
We investigate changes in the time series characteristics of postwar U.S. inflation. In a model-based analysis the conditional mean of inflation is specified by a long memory autoregressive fractionally integrated moving average process and the conditional variance is modelled by a stochastic...
Persistent link: https://www.econbiz.de/10011373822
sophisticated neural network simulation techniques is explored. In all examples considered in this paper – a bimodal distribution of …
Persistent link: https://www.econbiz.de/10011374406