2013
DOI: 10.1016/j.qref.2013.02.003
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Orthogonalized factors and systematic risk decomposition

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Cited by 26 publications
(26 citation statements)
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“…Second, the democratic technique ensures that the orthogonalized factors best resemble the original factors compared to a set of commonly applied orthogonalization approaches. Klein and Chow (2013) demonstrate that the correlations between each possible original/orthogonal factor pair is highest for the democratic procedure while Principal Component Analysis and the sequential approach often identify orthogonal factors that are significantly different from their original counterparts exacerbating their economic interpretation. Therefore, other orthogonalization techniques often produce factor series that may become rather unrelated to the information provided by the original factors.…”
Section: Systematic Risk Decompositionmentioning
confidence: 99%
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“…Second, the democratic technique ensures that the orthogonalized factors best resemble the original factors compared to a set of commonly applied orthogonalization approaches. Klein and Chow (2013) demonstrate that the correlations between each possible original/orthogonal factor pair is highest for the democratic procedure while Principal Component Analysis and the sequential approach often identify orthogonal factors that are significantly different from their original counterparts exacerbating their economic interpretation. Therefore, other orthogonalization techniques often produce factor series that may become rather unrelated to the information provided by the original factors.…”
Section: Systematic Risk Decompositionmentioning
confidence: 99%
“…The recently introduced democratic technique does not suffer from this difficulty because it treats all factors equally (Klein and Chow, 2013). The approach conducts a simultaneous orthogonal transformation of the factors to identify their uncorrelated components.…”
Section: Systematic Risk Decompositionmentioning
confidence: 99%
“…To investigate the relative importance of the traditional and alternative asset classes for explaining hedge fund returns over time, we employ the novel variance decomposition procedure proposed by Klein and Chow (2010). Their approach addresses the potential multicollinearity between the factors by a democratic factor orthogonalization that identifies the underlying uncorrelated components of common factors.…”
Section: Democratic Variance Decompositionmentioning
confidence: 99%
“…Hence, it eliminates the impact of the choice of the starting vector and the orthogonalization sequence. Following Klein and Chow (2010), the matrix of mutually uncorrelated and variance-preserving…”
Section: Democratic Variance Decompositionmentioning
confidence: 99%
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