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authors apply a new concept called relevance to estimate regime-specific expected returns, standard deviations, and … correlations. Their relevance-based approach explicitly accounts for the importance of an observation to forming an estimate, and …
Persistent link: https://www.econbiz.de/10014348956
variables. And they measure the likelihood that these paths will prevail in the future based on their statistical similarity to …
Persistent link: https://www.econbiz.de/10012245036
values of the dependent variable in which the weights are the relevance of the independent variables. This equivalence allows …
Persistent link: https://www.econbiz.de/10012225139
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Goal: ISO 31000 Risk Management (RM) recently re-defined risk as the effect of uncertainty on an organization's ability to meet the objectives. Earlier, it defined risk as a combination of the probability and scope of the (predicted) consequences. The revised ISO Risk advances beyond a static...
Persistent link: https://www.econbiz.de/10014256748
Forecast combinations, also known as ensemble models, routinely require practitioners to select a model from a massive number of potential candidates. Ten explanatory variables can be grouped into 21078 forecast combinations, and the number of possibilities increases further to 21078+21078 if we...
Persistent link: https://www.econbiz.de/10013402082
The goal of this paper is to assist the trader in answering two questions: 1) "What is a reasonable performance estimate of the long-run edge of the trading system?" and, 2) "What worst-case contingencies must be tolerated in short-run performance in order to achieve the long-run expectation?"...
Persistent link: https://www.econbiz.de/10013055685
In this paper, we provide an exact finite sample analysis of predictive regressions with overlapping long-horizon returns. This analysis allows us to evaluate the reliability of various asymptotic theories for predictive regressions in finite samples. In addition, our finite sample analysis...
Persistent link: https://www.econbiz.de/10012593767
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