Showing 1 - 10 of 129
The Value-at-Risk calculation reduces the dimensionality of the risk factor space. The main reasons for such simplifications are, e.g., technical efficiency, the logic and statistical appropriateness of the model. In Chapter 2 we present three simple mappings: the mapping on the market index,...
Persistent link: https://www.econbiz.de/10010274278
modelling bias and estimation (in)efficiency. In forecasting, the proposed adaptive approach significantly outperforms a MEM …
Persistent link: https://www.econbiz.de/10010330969
A flexible statistical approach for the analysis of time-varying dynamics of transaction data on financial markets is here applied to intra-day trading strategies. A local adaptive technique is used to successfully predict financial time series, i.e., the buyer and the seller-initiated trading...
Persistent link: https://www.econbiz.de/10010427064
Due to its ability to allow and account for similarities between pairs of alternatives, the nested logit model is increasingly used in practical applications. However the fact that there are two different specifications of the nested logit model has not received adequate attention. The utility...
Persistent link: https://www.econbiz.de/10005854714
Due to its ability to allow and account for similarities between pairs of alternatives, the nested logit model is increasingly used in practical applications. However the fact that there are two different specifications of the nested logit model has not received adequate attention. The utility...
Persistent link: https://www.econbiz.de/10010272735
The paper discusses the nested logit model for choices between a set of mutually exclusive alternatives (e.g. brand choice, strategy decisions, modes of transportation, etc.). Due to the ability of the nested logit model to allow and account for similarities between pairs of alternatives, the...
Persistent link: https://www.econbiz.de/10010272737
structure. To evaluate ex-ante forecasting performance for particular short, medium and long term rates and for the level, slope …, we propose a data driven, adaptive model selection strategy to 'predict the best forecasting model' out of a set of 100 … alternative implementations of the PCA/VAR model. This approach is shown to outperform forecasting schemes relying on global …
Persistent link: https://www.econbiz.de/10010271835
forecasting content by means of trading implied cash flows. Empirical evidence suggests that the proposed strategy is neither …
Persistent link: https://www.econbiz.de/10010271837
. To evaluate ex-ante forecasting performance for particular rates, different forecast features such as mean squared errors …
Persistent link: https://www.econbiz.de/10010274224
Principal component analysis (PCA) is a widely used dimension reduction tool in the analysis of many kind of high-dimensional data. It is used in signal processing, mechanical engineering, psychometrics, and other fields under different names. It still bears the same mathematical idea: the...
Persistent link: https://www.econbiz.de/10010331114