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Persistent link: https://www.econbiz.de/10001435264
In this paper a flexible model for correlation in high frequency data is proposed, which maintains the data's discrete nature and captures features such as asymmetry and excess zeros. The model uses an a theoretical approach based on that of an ARIMA model. This model works with price changes...
Persistent link: https://www.econbiz.de/10013104300
Persistent link: https://www.econbiz.de/10001447119
allows us to obtain an estimator of the conditional volatility per time. this kind of volatility estimation solves the …
Persistent link: https://www.econbiz.de/10011543683
Simulations of a model pension scheme are run with stochastic economic and demographic factors, with an aim to investigate the impact of these factors on movements in funding ratio and average contribution rates. These impacts are analyzed by running regressions of movements in funding ratio and...
Persistent link: https://www.econbiz.de/10013089039
In this paper, we review the most common specifications of discrete-time stochastic volatility (SV) models and illustrate the major principles of corresponding Markov Chain Monte Carlo (MCMC) based statistical inference. We provide a hands-on ap proach which is easily implemented in empirical...
Persistent link: https://www.econbiz.de/10003770817
We use a simple New Keynesian model, with firm specific capital, non-zero steady-state inflation, long-run risks and Epstein-Zin preferences to study the volatility implications of a monetary policy shock. An unexpected increases in the policy rate by 150 basis points causes output and inflation...
Persistent link: https://www.econbiz.de/10011389786
Exchange rates typically exhibit time-varying patterns in both means andvariances. The histograms of such series indicate heavy tails. In thispaper we construct models which enable a decision-maker to analyze theimplications of such time series patterns for currency risk management.Our approach...
Persistent link: https://www.econbiz.de/10011302131
We use a factor model with stochastic volatility to decompose the time-varying variance of Macro economic and Financial variables into contributions from country-specific uncertainty and uncertainty common to all countries. We find that the common component plays an important role in driving the...
Persistent link: https://www.econbiz.de/10011306276
In this paper we replace the Gaussian errors in the standard Gaussian, linear state space model with stochastic volatility processes. This is called a GSSF-SV model. We show that conventional MCMC algorithms for this type of model are ineffective, but that this problem can be removed by...
Persistent link: https://www.econbiz.de/10011334849