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By Lindstr\"{o}m's theorems, the expressive power of first order logic (and similarly continuous logic) is not strengthened without losing some interesting property. Weakening it, is however less harmless and has been payed attention by…

Logic · Mathematics 2024-08-23 Seyed-Mohammad Bagheri

The affine space of traceless complex matrices in which the sum of all elements in every row and every column is equal to one is presented as an example of an affine space with a Lie bracket or a Lie affgebra.

Rings and Algebras · Mathematics 2023-10-19 Tomasz Brzeziński

Smooth modules for affine Kac-Moody algebras have a prime importance for the quantum field theory as they correspond to the representations of the universal affine vertex algebras. But, very little is known about such modules beyond the…

Representation Theory · Mathematics 2025-11-03 Vyacheslav Futorny , Xiangqian Guo , Yaohui Xue , Kaiming Zhao

For nonlinear affine in the control systems, a Lie algebraic sufficient condition for sampled-data feedback semi-global stabilization is established. We use this result, in order to derive sufficient conditions for sampled-data feedback…

Optimization and Control · Mathematics 2015-06-02 John Tsinias , Dionysis Theodosis

We consider core-periphery structured graphs, which are graphs with a group of densely and sparsely connected nodes, respectively, referred to as core and periphery nodes. The so-called core score of a node is related to the likelihood of…

Machine Learning · Computer Science 2022-10-05 Sravanthi Gurugubelli , Sundeep Prabhakar Chepuri

By analyzing the affine Taylor expansion of a non-degenerate plane curve, we obtain characterizations of classes of such curves via curvature properties of the gravity curve. The proof is based on an analysis of the degree parity and…

Differential Geometry · Mathematics 2011-11-01 Thomas Binder

We introduce higher strip deformations, which give a way of constructing affine deformations of discrete free groups in the image of the irreducible representation $\operatorname{PSL}_2\mathbb{R}\to \operatorname{SO}(2n,2n-1)$. We use the…

Geometric Topology · Mathematics 2022-05-31 Neža Žager Korenjak

In this work we consider one-dimensional generalized affine processes under the paradigm of Knightian uncertainty (so-called non-linear generalized affine models). This extends and generalizes previous results in Fadina et al. (2019) and…

Mathematical Finance · Quantitative Finance 2024-06-11 Benedikt Geuchen , Katharina Oberpriller , Thorsten Schmidt

Rapid development in numerical modelling of materials and the complexity of new models increases quickly together with their computational demands. Despite the growing performance of modern computers and clusters, calibration of such models…

Neural and Evolutionary Computing · Computer Science 2016-03-08 Tomáš Mareš , Eliška Janouchová , Anna Kučerová

Induction benefits from useful priors. Penalized regression approaches, like ridge regression, shrink weights toward zero but zero association is usually not a sensible prior. Inspired by simple and robust decision heuristics humans use, we…

Machine Learning · Computer Science 2021-10-26 Sebastian Bobadilla-Suarez , Matt Jones , Bradley C. Love

We generalize an algorithm of Leclerc describing explicitly the bijection of Lalonde-Ram from finite to affine Lie algebras. In type $A_n^{(1)}$, we compute all affine standard Lyndon words for any order of the simple roots, and establish…

Representation Theory · Mathematics 2024-10-03 Yehor Avdieiev , Alexander Tsymbaliuk

The problem of estimating the L\'evy density of a partially observed multidimensional affine process from low-frequency and mixed-frequency data is considered. The estimation methodology is based on the log-affine representation of the…

Methodology · Statistics 2015-03-13 Denis Belomestny

Based on a criterion of mathematical simplicity and consistency with empirical market data, a stochastic volatility model has been obtained with the volatility process driven by fractional noise. Depending on whether the stochasticity…

Statistical Finance · Quantitative Finance 2015-06-05 R. Vilela Mendes , M. J. Oliveira , A. M. Rodrigues

Vanna-Volga is a popular method for the interpolation/extrapolation of volatility smiles. The technique is widely used in the FX markets context, due to its ability to consistently construct the entire Lognormal smile using only three…

Risk Management · Quantitative Finance 2022-01-19 Volodymyr Perederiy

Properties of the recently reported homogeneous Hilbert curves are deduced and reported. The nature of the affine transformations involved in the construction of the Hilbert curves is explored. The analytical representation of proper and…

Algebraic Geometry · Mathematics 2013-11-13 E. Estevez-Rams , I. Brito-Reyes

We introduce a flexible and tractable infinite-dimensional stochastic volatility model. More specifically, we consider a Hilbert space valued Ornstein-Uhlenbeck-type process, whose instantaneous covariance is given by a pure-jump stochastic…

Probability · Mathematics 2021-08-06 Sonja Cox , Sven Karbach , Asma Khedher

For a twisted affine Lie superalgebra with nonzero odd part, we study {tight irreducible weight modules} with bounded weight multiplicities and show that if the action of nonzero real vectors of each affine component of the zero part is…

Representation Theory · Mathematics 2021-01-22 Malihe Yousofzadeh

We define a filtration indexed by the integers on the tensor product of an integrable highest weight module and a loop module for a quantum affine algebra. We prove that the filtration is either trivial or strictly decreasing and give…

Quantum Algebra · Mathematics 2012-09-05 Vyjayanthi Chari , Jacob Greenstein

The main purpose of this work is to examine the behavior of the implied volatility smiles around jumps, contributing to the literature with a high-frequency analysis of the smile dynamics based on intra-day option data. From our…

Statistical Finance · Quantitative Finance 2020-05-14 Martin Magris , Perttu Barholm , Juho Kanniainen

We study pricing and hedging under parameter uncertainty for a class of Markov processes which we call generalized affine processes and which includes the Black-Scholes model as well as the constant elasticity of variance (CEV) model as…

Risk Management · Quantitative Finance 2021-11-30 Eva Lütkebohmert , Thorsten Schmidt , Julian Sester
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