https://monetarypolicy2018.weaconferences.net/papers/what-can-we-learn-from-divisia-and-simple-sum-monetary-indexes-structural-stability-in-frequency-domain-from-time-frequency-analysis/ 19th February to 20th April, 2018 Mon, 09 Jun 2025 12:37:55 +0000 hourly 1 https://monetarypolicy2018.weaconferences.net/papers/what-can-we-learn-from-divisia-and-simple-sum-monetary-indexes-structural-stability-in-frequency-domain-from-time-frequency-analysis/#comment-38 Fri, 23 Mar 2018 13:17:25 +0000 http://monetarypolicy2018.weaconferences.net/?post_type=wea_paper&p=173#comment-38 Since the economy is not isolated from the weather, which is chaotic, it is reasonable to assume that chaos exists in most economic data. But since economic data are very noisy, it can be difficult to detect the chaotic signal under the white noise. The ability to detect the chaos reflects well on the quality of the data and their high signal to noise ratios. Determining the source of the chaos and the information content in the chaos are potential topics for challenging research. Continuing advances in computer technology may eventually provide numerical methods for extracting such deep information from the fractal attractor set characterizing chaotic dynamics.

]]> https://monetarypolicy2018.weaconferences.net/papers/what-can-we-learn-from-divisia-and-simple-sum-monetary-indexes-structural-stability-in-frequency-domain-from-time-frequency-analysis/#comment-14 Sun, 11 Mar 2018 00:13:43 +0000 http://monetarypolicy2018.weaconferences.net/?post_type=wea_paper&p=173#comment-14 The paper brought at the same table very important economic theories. Excellent methodology and idea! However, I think that you should improve interpretation of the results and to offer wider discussion of it.

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