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Measuring and modeling financial volatility is the key to derivative pricing, asset allocation and risk management.The recent availability of high-frequency data allows for refined methods in this field.In particular, more precise measures for the daily or lower frequency volatility can be...
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.99%. Accordingly, this paper presents a semi-parametric estimation method, re-scaling data from high- to low-frequency which allows to … obtain significantly more data points for the estimation of the respective risk measures. The presented methodology in the α …
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Measuring the dispersion of productivity or efficiency across firms in a market or industry is rife with methodological … to increase dispersion. This chapter presents a guide to measurement of dispersion and provides empirical evidence from a …
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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
This paper focuses on nominal exchange rates, specifically the US dollar rate vis-à-vis the Euro and the Japanese Yen at a daily frequency. We model both absolute values of returns and squared returns using long-memory techniques, being particularly interested in volatility modelling and...
Persistent link: https://www.econbiz.de/10003931070