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Correlation Matrix Associated with a Factor Class

Computing a Nearest Correlation Matrix with Factor Structure

Computing a Nearest Correlation Matrix with Factor Structure

... A quadratically convergent Newton method for computing the nearest correlation matrix. SIAM J[r] ...

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Stationarity and Invertibility of a Dynamic Correlation Matrix

Stationarity and Invertibility of a Dynamic Correlation Matrix

... the associated univariate models, including a novel conditional volatility model expressed in terms of standardized shocks rather than returns shocks, as well as the associated stationarity and ...

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Distribution of the Sample Correlation  Matrix and Applications

Distribution of the Sample Correlation Matrix and Applications

... The correlation matrix plays an important role in multivariate analysis since by itself it captures the pairwise de- grees of relationship between different components of a random ...and Factor ...

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Visualization of a Stock Market Correlation Matrix

Visualization of a Stock Market Correlation Matrix

... the correlation matrix for 48 stocks listed on the New Zealand Stock ...the correlation matrix using a Neighbor-Net network some of the problems associated with understanding the large ...

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A Class of Generalized Dynamic Correlation Models

A Class of Generalized Dynamic Correlation Models

... a class of generalized dynamic correlation (GDC) models to unify and generalize the DCC and VC ...correlation matrix. At the bottom layer, an ARMA model for an auxiliary matrix variable ...

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Correlation matrix decomposition of WIG20 intraday fluctuations

Correlation matrix decomposition of WIG20 intraday fluctuations

... the correlation matrix formalism we study the temporal aspects of the Warsaw Stock Market evolution as represented by the WIG20 ...the correlation ma- trix considered here connect different distinct ...

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Using temporal correlation in factor analysis for reconstructing transcription factor activities

Using temporal correlation in factor analysis for reconstructing transcription factor activities

... connectivity matrix, that is, we run the FA algorithm with decreasing numbers of given zero position in the prior loadings ...connectivity matrix the FA algorithms can reconstruct the same TF activity ...

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ENAMeL : a language for binary correlation matrix memories : reducing the memory constraints of matrix memories

ENAMeL : a language for binary correlation matrix memories : reducing the memory constraints of matrix memories

... ing factor still leads to an exponential increase in the memory requirements, there is an order of magnitude improvement compared to storing the matrices ...

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A Rule Chaining Architecture Using a Correlation Matrix Memory

A Rule Chaining Architecture Using a Correlation Matrix Memory

... Contrasted with a depth-first approach with a time complexity of O(b d ), where b is the branching factor, this is a notable improvement. On the other hand there is frequently a trade-off between time complexity ...

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Matrix-Variate Probabilistic Model for Canonical Correlation Analysis

Matrix-Variate Probabilistic Model for Canonical Correlation Analysis

... canonical correlation analysis [4], in this paper, we propose a matrix-variate factor analysis model that has the property that its maximum likelihood solution extracts the canonical ...

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On the simultaneous calibration of multi-factor log-normal interest-rate models to Black volatilities and to the correlation matrix Riccardo Rebonato 1

On the simultaneous calibration of multi-factor log-normal interest-rate models to Black volatilities and to the correlation matrix Riccardo Rebonato 1

... implied correlation (see Equations (4) and (5), and Rebonato (1998) for a detailed discussion of risk-neutral drifts in the swap-rate-based ...overall correlation between different forward rates is ...

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Estimating Realistic Implied Correlation Matrix from Option Prices

Estimating Realistic Implied Correlation Matrix from Option Prices

... implied correlation index is something completely different; it is derived from the option premiums of index options and single-stock op- tions that are index ...risk associated with the underlying assets, ...

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A Correlation Thresholding Algorithm for Learning Factor Analysis Models

A Correlation Thresholding Algorithm for Learning Factor Analysis Models

... Chapter 3 Simulation Study 3.1 Method We generated data sets from a Gaussian distribution. The mean vector was set to µ = 0 for all conditions, and the covariance matrix Σ was parameterized by θ which varied by ...

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Canonical Polyadic decomposition with a Columnwise Orthonormal Factor Matrix

Canonical Polyadic decomposition with a Columnwise Orthonormal Factor Matrix

... We considered a simple problem, in which the rank did not exceed the tensor dimensions, and a difficult problem, in which the rank was high. The gain obtained by imposing orthogonality was very high for the difficult ...

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Appendix 1: Correlation Matrix

Appendix 1: Correlation Matrix

... Observations 7,099 7,099 7,099 7,099 7,099 7,099 R-squared 0.177 0.117 0.180 0.195 0.158 0.181 Root MSE 4.336 1.662 3.854 3.667 5.214 2.781 Note: The sample under investigation is hotels operating in Vietnam. The ...

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Class #15: Matrix Characteristics

Class #15: Matrix Characteristics

... – Matrix Multiplication Background In our introduction to matrix mathematics, we discussed the relationship between linear system of equations and the equivalent matrix expression, Ax = ...use ...

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Perturbations in the Nevai matrix class of orthogonal matrix polynomials

Perturbations in the Nevai matrix class of orthogonal matrix polynomials

... block matrix and the behavior of the limit of its entries when a perturbation of its spectral matrix measure by the addition of a Dirac delta matrix measure is ...

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Dating multiple change points in the correlation matrix

Dating multiple change points in the correlation matrix

... the correlation matrix of the series before the first change point is the correlation matrix in (7), then changes to the correlation matrix in (8), and, finally, changes again to ...

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Application of SPSS Software in Preparing Correlation Matrix

Application of SPSS Software in Preparing Correlation Matrix

... the correlation analysis. The effect of correlation is to reduce the range of ...on correlation analysis is likely to be more valuable and near to ...

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REDUCTION USING SEMI CORRELATION FACTOR

REDUCTION USING SEMI CORRELATION FACTOR

... E-mail: [email protected] Abstract: In this paper, we need to define a new definition for a correlation factor using semi rough sets technique. This definition is very simpler than statistic ...

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