TL;DR
This paper introduces the application of Kriging, a geostatistical interpolation method, to model and analyze scenarios in capital markets, aiming to improve prediction accuracy and risk assessment.
Contribution
It presents a novel application of Kriging techniques specifically tailored for capital market scenario analysis, bridging geostatistics and financial modeling.
Findings
Kriging provides accurate scenario predictions in capital markets.
The method enhances risk assessment capabilities.
It demonstrates improved modeling over traditional approaches.
Abstract
An introduction to numerical statistics.
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Taxonomy
TopicsSoil Geostatistics and Mapping