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Geometric optimisation algorithms are developed that efficiently find the nearest low-rank correlation matrix. We show … nearest low-rank correlation matrix occurs as part of the calibration of multi-factor interest rate market models to … correlation. Keywords: geometric optimisation, correlation matrix, Rank, LIBOR market model …
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average derivative estimator to the multiple index model setting. The estimator uses the average of the outer product of … derivatives and is shown to be root-N consistent and asymptotically normal. Unlike the average derivative estimator, our estimator … still works in the single-index setting when the expected derivative is zero (symmetry). Compared to other estimators for …
Persistent link: https://www.econbiz.de/10014071556
We devise a new high-frequency covariance matrix estimator based on price durations which is guaranteed to be positive-definite. Both non-parametric and parametric versions are proposed. A comprehensive Monte Carlo simulation shows that this class of estimators are less biased, more efficient,...
Persistent link: https://www.econbiz.de/10013236931
, two new procedures are introduced, called Dickey-Fuller Optimal (DFO), Mini-Max Subset Correlation (MMSC). The former is a …
Persistent link: https://www.econbiz.de/10013067582
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This paper presents a comprehensive extension of pricing two-dimensional derivatives depending on two barrier constraints. We assume randomness on the covariance matrix as a way of generalizing. We analyse common barrier derivatives, enabling us to study parameter uncertainty and the risk...
Persistent link: https://www.econbiz.de/10011556565