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<title>DEP51 - Capítulos de monografías</title>
<link href="https://uvadoc.uva.es/handle/10324/1360" rel="alternate"/>
<subtitle>Dpto. Matemática Aplicada - Capítulos de monografías</subtitle>
<id>https://uvadoc.uva.es/handle/10324/1360</id>
<updated>2026-04-08T20:22:04Z</updated>
<dc:date>2026-04-08T20:22:04Z</dc:date>
<entry>
<title>Real-World Versus Risk-Neutral Measures in the Estimation of an Interest Rate Model with Stochastic Volatility</title>
<link href="https://uvadoc.uva.es/handle/10324/32344" rel="alternate"/>
<author>
<name>Gómez del Valle, María Lourdes</name>
</author>
<author>
<name>Martínez Rodríguez, Julia</name>
</author>
<id>https://uvadoc.uva.es/handle/10324/32344</id>
<updated>2021-06-23T11:39:59Z</updated>
<published>2018-01-01T00:00:00Z</published>
<summary type="text">In this paper, we consider a jump-diffusion two-factor model which stochastic volatility to obtain the yield curves efficiently. As this is a jump-diffusion model, the estimation of the market prices of risk is not possible unless a closed form solution is known for the model. Then, we obtain some results that allow us to estimate all the risk-neutral functions, which are necessary to obtain the yield curves, directly from data in the markets. As the market prices of risk are included in the risk-neutral functions, they can also be obtained. Finally, we use US Treasury Bill data, a nonparametric approach, numerical differentiation and Monte Carlo simulation approach to obtain the yield curves. Then, we show the advantages of considering the volatility as second stochastic factor and our approach in an interest rate model.
</summary>
<dc:date>2018-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Formal series and numerical integrators: some history and some new techniques</title>
<link href="https://uvadoc.uva.es/handle/10324/28913" rel="alternate"/>
<author>
<name>Murua Uria, Ander</name>
</author>
<author>
<name>Sanz Serna, Jesús María</name>
</author>
<id>https://uvadoc.uva.es/handle/10324/28913</id>
<updated>2025-02-13T13:06:17Z</updated>
<published>2015-01-01T00:00:00Z</published>
<summary type="text">This paper provides a brief history of B-series and the associated Butcher&#13;
group and presents the new theory of word series and extended word series. B-series&#13;
(Hairer and Wanner 1976) are formal series of functions parameterized by rooted trees.&#13;
They greatly simplify the study of Runge-Kutta schemes and other numerical integrators.&#13;
We examine the problems that led to the introduction of B-series and survey a number of&#13;
more recent developments, including applications outside numerical mathematics. Word&#13;
series (series of functions parameterized by words from an alphabet) provide in some&#13;
cases a very convenient alternative to B-series. Associated with word series is a group G&#13;
of coe cients with a composition rule simpler than the corresponding rule in the Butcher&#13;
group. From a more mathematical point of view, integrators, like Runge-Kutta schemes,&#13;
that are a ne equivariant are represented by elements of the Butcher group, integrators&#13;
that are equivariant with respect to arbitrary changes of variables are represented by&#13;
elements of the word group G.
</summary>
<dc:date>2015-01-01T00:00:00Z</dc:date>
</entry>
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