Stress indicator construction for internal money market
In this article we propose a modification of time-series segmentation algorithm which allows to identify homogenous periods of money market history by clustering multidimensional probability distributions of relevant variables. We provide step-by-step instructions to systematically choose how many distinct states of the nominal variable is sufficient for precise description of the money market historical conditions and hint at variables which might be suitable for monitoring money market form a central bank’s point of view
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