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Persistent link: https://www.econbiz.de/10011441400
We consider a new robust parametric estimation procedure, which minimizes an empirical version of the Havrda-Charvat-Tsallis entropy. The resulting estimator adapts according to the discrepancy between the data and the assumed model by tuning a single constant q, which controls the trade-off...
Persistent link: https://www.econbiz.de/10013121699
Two important problems arising in traditional asset allocation methods are the sensitivity to estimation error of portfolio weights and the high dimensionality of the set of candidate assets. In this paper, we address both issues by proposing a new minimum description length criterion for...
Persistent link: https://www.econbiz.de/10012973206
Investors might prefer to consider the problem of minimizing the semivariance of a portfolio given a certain benchmark rather than the variance, as in such case only the downside volatility is considered as risk. However, such optimization framework has received limited attention compared to the...
Persistent link: https://www.econbiz.de/10013237895
We consider a new robust parametric estimation procedure, which minimizes an empirical version of the Havrda-Charvàt-Tsallis entropy. The resulting estimator adapts according to the discrepancy between the data and the assumed model by tuning a single constant q, which controls the trade-off...
Persistent link: https://www.econbiz.de/10008625854
Estimating financial risk is a critical issue for banks and insurance companies. Recently, quantile estimation based on Extreme Value Theory (EVT) has found a successful domain of application in such a context, outperforming other approaches. Given a parametric model provided by EVT, a natural...
Persistent link: https://www.econbiz.de/10005416791
Estimating financial risk is a critical issue for banks and insurance companies. Recently, quantile estimation based on Extreme Value Theory (EVT) has found a successful domain of application in such a context, outperforming other approaches. Given a parametric model provided by EVT, a natural...
Persistent link: https://www.econbiz.de/10005636139
Estimating financial risk is a critical issue for banks and insurance companies. Recently, quantile estimation based on Extreme Value Theory (EVT) has found a successful domain of application in such a context, outperforming other approaches. Given a parametric model provided by EVT, a natural...
Persistent link: https://www.econbiz.de/10005636185
Persistent link: https://www.econbiz.de/10003308517
Persistent link: https://www.econbiz.de/10009230936