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Multiple factor models information


In mathematical finance, multiple factor models are asset pricing models that can be used to estimate the discount rate for the valuation of financial assets. They are generally extensions of the single-factor capital asset pricing model (CAPM).

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Multiple factor models

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In mathematical finance, multiple factor models are asset pricing models that can be used to estimate the discount rate for the valuation of financial...

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Big Five personality traits

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Five personality traits, sometimes known as "the five-factor model of personality" or "OCEAN model", are a grouping of five unique characteristics used...

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Multiple nuclei model

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The multiple nuclei model is an economical model created by Chauncy Harris and Edward Ullman in the 1945 article "The Nature of Cities". The model describes...

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Factor analysis

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potential factors plus "error" terms, hence factor analysis can be thought of as a special case of errors-in-variables models. Simply put, the factor loading...

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Confirmatory factor analysis

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of model fit will indicate a poor fit, and the model will be rejected. If the fit is poor, it may be due to some items measuring multiple factors. It...

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Structural equation modeling

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models, including factor-models, has also been declining. Stan Mulaik, a factor-analysis stalwart, has acknowledged the causal basis of factor models...

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Analysis of variance

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experiments share many of the complexities of multiple factors. A relatively complete discussion of the analysis (models, data summaries, ANOVA table) of the completely...

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Asset pricing

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principles, outlined below, together with the resultant models. There have been many models developed for different situations, but correspondingly,...

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Multilevel model

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Multilevel models (also known as hierarchical linear models, linear mixed-effect model, mixed models, nested data models, random coefficient, random-effects...

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3D reconstruction from multiple images

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3D reconstruction from multiple images is the creation of three-dimensional models from a set of images. It is the reverse process of obtaining 2D images...

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Outline of finance

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pricing model Consumption-based CAPM Intertemporal CAPM Single-index model Multiple factor models Fama–French three-factor model Carhart four-factor model Arbitrage...

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HEXACO model of personality structure

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HEXACO model of personality started initial development in 2000. It was derived from earlier used models of personality such as the Big Five factors covered...

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Exploratory factor analysis

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accurate when each factor is represented by multiple measured variables in the analysis. EFA is based on the common factor model. In this model, manifest variables...

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Multiple sclerosis

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unknown. Obesity during adolescence and young adulthood is a risk factor for MS. Multiple sclerosis is an autoimmune disease, primarily mediated by T-cells...

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Theory of multiple intelligences

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with the mind's eye. Spatial ability is one of the three factors beneath the hierarchical model of intelligence. People with high verbal-linguistic intelligence...

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Dissociative identity disorder

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ego state, and amnesia, also have no agreed upon definitions. Multiple competing models exist that incorporate some non-dissociative symptoms while excluding...

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Factor VIII

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plasma and associates with von Willebrand factor in a noncovalent complex. This protein undergoes multiple cleavage events. Transcript variant 2 encodes...

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Multiple myeloma

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may include hypercalcemia and amyloidosis. The cause of multiple myeloma is unknown. Risk factors include obesity, radiation exposure, family history, age...

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Partial least squares path modeling

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for the estimation of the factors in common factor models; this method significantly increases the number of common factor model parameters that can be estimated...

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General linear model

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general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models. In that...

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Variance inflation factor

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the variance inflation factor (VIF) is the ratio (quotient) of the variance of a parameter estimate when fitting a full model that includes other parameters...

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