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We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...
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Principal Component Analysis (PCA) is a common procedure for the analysis of financial market data, such as implied volatility smiles or interest rate curves. Recently, Pelsser and Lord [11] raised the question whether PCA results may not be 'facts but artefacts'. We extend this line of research...
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volatility estimation. In particular, we use market microstructure theory to derive the cross-correlation function between latent … returns and market microstructure noise, which feature prominently in the recent volatility literature. The cross-correlation … geometrically. If market makers are sufficiently risk averse, however, the cross-correlation pattern is inverted. Our results are …
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This paper investigates the behavior of asset prices in an endowment economy in which a representative agent with power utility consumes the dividends of multiple assets. The assets are Lucas trees; a collection of Lucas trees is a Lucas orchard. The model generates return correlations that vary...
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