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it is easy to implement and does not require cross-validation. The MT estimator of the sample correlation matrix is shown …
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High dimensional composite index makes experts' preferences in setting weights a hard task. In the literature, one of the approaches to derive weights from a data set is Principal Component or Factor Analysis that, although conceptually different, they are similar in results when FA is based on...
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an IGARCH process. By means of a new dynamic conditional correlation model (SP-DCC), we finally document the presence of … time-varying conditional correlations relating temperature anomalies across various zones and SOI. The correlation pattern …
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We analyze the price dynamics of European allowances and international carbon credits in the second phase of the European carbon market. We develop and use a model combining fundamental drivers associated with the demand for quotas by installations and risk-return considerations related to the...
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Climate change has inspired the interest of the academic community in the most diverse areas of knowledge. This study tests and revisits the environmental Kuznets curve assumptions for Portugal. The econometric strategy used in this research is time series (ARIMA model, OLS estimator, ARCH...
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