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In this paper we describe a solution to the problem of controlling the size of homoskedasticity tests in linear regression contexts.
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This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not.
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In this paper, we provided a unifying analysis of latent variable models in finance through the concept of stochastic discount factor (SDF).
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In this paper, we introduce a new approach for volatility modeling in discrete and continuous time.
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