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According to no-arbitrage, risk-adjusted returns should be unpredictable. Using several prominent factor models and a large cross-section of anomalies, we find that past pricing errors predict future risk-adjusted anomaly returns. We show that past pricing errors can be interpreted as deviations...
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Introduction to empirical data analysis -- Regression analysis -- Analysis of variance -- Discriminant analysis -- Logistic regression -- Contingency analysis -- Factor analysis -- Cluster analysis -- Conjoint analysis.
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In Monte Carlo simulation, Latin hypercube sampling (LHS) [McKay et al. (1979)] is a well-known variance reduction … technique for vectors of independent random variables. The method presented here, Latin hypercube sampling with dependence (LHSD …
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