Regression data inconsistent with the CAPM
A Paradox of Inconsistent Parametric and Consistent Nonparametric Regression
... The example given in PS involves cross section regression with some systematic location shifts in an endogenous regressor. The location shifts may be regarded as a form of instrumen- tal variable effect that ...
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A Comparison of Mining Incomplete and Inconsistent Data
... and inconsistent data in terms of an error rate computed as a result of ten-fold cross ...numerical data sets, we discretized each of them and then converted to a symbolic and con- sistent ...
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Estimate Beta Coefficient of CAPM Based on a Fuzzy Regression with Interactive Coefficients
... Robust Regression Techniques ...fuzzy regression method is proposed, which makes less assumptions and takes good care of the extreme ...fuzzy regression is a competitive ...
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Reexamination of capital asset pricing model (CAPM): An application of quantile regression
... of CAPM is the market portfolio with means different ...modified CAPM model, which includes the estimating period and calculating ...stage regression and obtain conclusion analogous to Black et ...
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C-CAPM without Ex Post Data
... Figure 1 also shows the expected values plus the ex post dividend yield—in an attempt to illustrate the time profile of expected returns. This curve is, more or less, a vertical shift of the expected capital ...
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C-CAPM without Ex Post Data
... 1 Introduction This paper studies if the consumption based asset pricing model is compatible with survey data on subjective beliefs. Asset pricing models are statements about how expected returns are related to ...
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Integrating Data from Possibly Inconsistent Databases
... of data inconsistencies while integrating data sets from multiple autonomous relational ...possibly inconsistent data is naturally captured by the maximal consistent subsets of the set of all ...
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Pareto multi-objective non-linear regression modelling to aid CAPM analogous forecasting
... process domains. In noisy domains such as financial fore- casting, where the generating process itself is being modelled, the divergence between the estimated Pareto surface from the training data, and the actual ...
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Inconsistent treatment estimates from mis-specified logistic regression analyses of randomized trials
... While the qualitative effect on the treatment estimator of including more baseline variables in a logistic regression has been appreciated for some time, the current paper provides a quantitative assessment of the ...
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Structure Definitions. Inconsistent Data Structure. Repaired Data Structure. attributelist
... These successful, widely used systems illustrate the utility of performing inconsistency detection and repair. We see our use of declarative specifications coupled with automatically generated detection and repair code ...
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Dealing with inconsistent and incomplete data in a semantic technology setting
... of inconsistent and incomplete lattices are shown in Figure ...illustrates inconsistent and incomplete data, 7c illustrates inconsistent data where three objects have contradictory ...
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Dealing with inconsistent and incomplete data in a semantic technology setting
... of inconsistent and incomplete lattices are shown in Figure ...illustrates inconsistent and incomplete data, 7c illustrates inconsistent data where three objects have contradictory ...
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Reduced Context Consistency Diagrams for Resolving Inconsistent Data
... We introduced reduced context consistency diagrams (RCCD), novel data structures for reasoning about situ- ations with incomplete knowledge of the environment and context conflicts that cannot be unambiguously ...
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Chapter 5. Conditional CAPM. 5.1 Conditional CAPM: Theory Risk According to the CAPM. The CAPM is not a perfect model of expected returns.
... 5.2. CONDITIONAL CAPM IN THE DATA 85 of equity. Market-to-book higher than 1 signals the existence of growth potential, market-to-book lower than 1 is the sign of poor prospects. High market-to-book ratios ...
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The CAPM is Not Dead
... series regression where optimal portfolio with short selling was used as the market ...and CAPM holds. Lastly, we use betas from the time series regression where optimal portfolio without short ...
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Expectile CAPM
... quantile regression by revising the minimization objective from an asymmetri- cally weighted mean absolute error to an asymmetrically weighted mean squared error, enables the development of an expectile ...
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Non-Trading, lexicographic and inconsistent behaviour in stated choice data
... Looking next at non-traders, we can see that, compared to the base model, removing car users who are non-traders improves model performance, where, for bus users, this is only the case for respondents always choosing ...
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Ontology-mediated query answering over temporal and inconsistent data
... or data sources need not be free of errors due to the methods by which the data is gathered or provided to the ...the data used by a stream reasoning system can simply contain contradictory ...
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Correct or incorrect application of CAPM? Correct or incorrect decisions with CAPM?
... the CAPM, one cannot infer its use as a valuation tool ...because inconsistent valuations are drawn from different descriptions of the same course of ...
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Regression with Big Data
... 1 ❘ Modeling Process This chapter describes how to build a regression from a large data table. We begin with an overview of the steps, organized within the framework of a 4M exercise. Most steps involve ...
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