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Many stochastic differential equations (SDEs) do not have readily available closed-form expressions for their transitional probability density functions (PDFs). As a result, a large number of competing estimation approaches have been proposed in order to obtain maximum-likelihood estimates of...
Persistent link: https://www.econbiz.de/10005766320
interpolation and find them not to be completely satisfactory. Accordingly, we extend to arbitrary degree the interpolant proposed …
Persistent link: https://www.econbiz.de/10005670794
interpolation. The method allows using sparse grids and thus mitigates the curse of dimensionality. A framework of the pricing … algorithm and the corresponding interpolation methods are discussed, and a theorem is demonstrated that suggests that the …
Persistent link: https://www.econbiz.de/10005561638
The conjunctural information from monthly indicators, e.g. industrial production, retail trade turnover, M3, confidence indicators, etc. could partly replace GDP data before the first official release is published. It is possible to incorporate monthly indicators into short-term forecasting...
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use in models with large choice sets and complicated error structures. The performance of the interpolation method appears …
Persistent link: https://www.econbiz.de/10005789571
Being able to model yield curves from observed bond yields is essential in capital markets. Yield curves are required to accurately price financial products as well as to correctly assess the macroeconomic situation of economies. Current models based on the work of Nelson/Siegel et al. apply a...
Persistent link: https://www.econbiz.de/10010305888
This paper surveys a wide selection of the interpolation algorithms that are in use in financial markets for … issue of bootstrapping is reviewed and how the interpolation algorithm should be intimately connected to the bootstrap … (or indeed an inhouse developer) as a viable option for yield curve interpolation. As will be seen, many of these methods …
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