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We investigate high-frequency volatility models for analyzing intra-day tick by tick stock price changes using Bayesian estimation procedures. Our key interest is the extraction of intra-day volatility patterns from high-frequency integer price changes. We account for the discrete nature of the...
Persistent link: https://www.econbiz.de/10011456723
mathematical tool which can be applied in the assessment of composite financial risk. Copula-based dependence modelling is a … approach to risk modelling is the exibility in the choice of distributions used to model co-dependencies. The practical …
Persistent link: https://www.econbiz.de/10010349457
algorithms on a number of test functions, including a simulation model for cancer screening. The results show that co! nsiderable …
Persistent link: https://www.econbiz.de/10011343271
(SVM) model based on Monte Carlo simulation methods. The SVM modelincorporates the unobserved volatility as anexplanatory variable …
Persistent link: https://www.econbiz.de/10011303314
Empirical measures of world consumption growth risk have failed to rationalize the cross-section of country equity … returns. We propose a new factor, termed "the global consumption factor", to explain the patterns in risk premiums on … from 47 developed and emerging market countries over a four-decade period. Our risk factor reflects changes in the cross …
Persistent link: https://www.econbiz.de/10010362976
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A test for serial independence is proposed which is related to the BDS test but focuses on tail event probabilities rather than probabilities near the center of the distribution. The motivation behind this approach is to obtain a test more suitable for detecting structure in the tails, such as...
Persistent link: https://www.econbiz.de/10011327543
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The sum of squared intraday returns provides an unbiased and almost error-free measure of ex-post volatility. In this paper we develop a nonlinear Autoregressive Fractionally Integrated Moving Average (ARFIMA) model for realized volatility, which accommodates level shifts, day-of-the-week...
Persistent link: https://www.econbiz.de/10011335205