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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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285683111 · May 202619922001200920172026
48 results for affine coefficients

Extend classical theory of affine processes to path-dependent setting

problem Path-dependent affine processes
method Introduce path-dependent coefficients and provide analytic formulas for their Fourier--Laplace transform
result Define path-dependent affine processes through their exponential-affine Fourier--Laplace transform and establish a characterization theorem

The paper shows that energy futures yield curves have an affine geometry.

problem Estimating dynamic behavior of yield curves from data while avoiding arbitrage.
method Finite dimensional models for yield curves, diffusion coefficients, and compatibility conditions.
result The compatibility of yield curves with diffusion coefficients forces an affine geometry.

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 leading coefficients of polynomials occurring in the expansion.

2011-10-29abs ↗pdf ↗

PANDA predicts protein binding affinity changes from sequences, outperforming existing methods.

problem Accurately predicting changes in protein binding affinity due to mutations.
method Sequence-based machine learning approach using protein sequence information.
result PANDA achieves higher Pearson correlation coefficients than existing methods.

This paper constructs and studies the long-term factorization of affine pricing kernels into discounting at the rate of return on the long bond and the martingale component that accomplishes the change of probability measure to the long forward measure. The principal eigenfunction of the affine pricing kernel germane t…

2016-10-03abs ↗pdf ↗

Paper shows affine constraint is unnecessary for high-dimensional data.

problem The necessity of an affine constraint in affine subspace clustering.
method Theoretical and empirical analysis of conditions for correctness of affine subspace clustering methods.
result Affine constraint has negligible effect on clustering performance for high-dimensional data.

We show that, when considering the anisotropic scaling factors and their derivatives as affine variables, the coefficients of the heat kernel expansion of the Dirac-Laplacian on SU(2)SU(2) Bianchi IX metrics are algebro-geometric periods of motives of complements in affine spaces of unions of quadrics and hyperplanes. We …

2017-09-23abs ↗pdf ↗

Stochastic delay differential equations (SDDE's) have been used for financial modeling. In this article, we study a SDDE obtained by the equation of a CIR process, with an additional fixed delay term in drift; in particular, we prove that there exists a unique strong solution (positive and integrable) which we call fix…

2018-06-04abs ↗pdf ↗

For a polygon in Euclidean space we consider a transformation T which is obtained by applying the midpoints polygon construction twice and using an index shift. For a closed polygon this is a curve shortening process. A polygon is called (affine) soliton of the transformation T if its image under T is an affine image o…

2015-08-28abs ↗pdf ↗

We obtain a first order extension of the large deviation estimates in the Gärtner-Ellis theorem. In addition, for a given family of measures, we find a special family of functions having a similar Laplace principle expansion up to order one to that of the original family of measures. The construction of the special fam…

2014-06-14abs ↗pdf ↗

Characterizes fractional Dehn twist coefficient and proves slice-Bennequin inequality.

problem Understanding the fractional Dehn twist coefficient and its relation to smooth slice genus.
method Characterization of FDTC and establishing the slice-Bennequin inequality.
result Affine linear lower bound for smooth slice genus in terms of FDTC.

Clarifies relation for solving control-affine Schrödinger bridge problems.

problem Solving control-affine Schrödinger bridge problems via Hopf-Cole transform.
method Applies Hopf-Cole transform to conditions of optimality, resulting in nonlinear PDEs.
result Generic control-affine Schrödinger bridge requires further algorithmic development.

Study on friction forces for nonholonomic systems using affine connections.

problem Realizing nonholonomic constraints with strong friction forces.
method Affine connection approach, covariant derivatives, recursive procedure.
result Approximations of slip velocities and dynamics up to second order.

New SDEs from affine and polynomial perspectives for path-dependent processes.

problem Characterizing path-dependent stochastic processes.
method Affine and polynomial processes, signature SDEs, Fourier-Laplace transform, Riccati and linear ODEs.
result Explicit formulas for the Fourier-Laplace transform and expected values of entire functions of signature processes.

Let WLW\ltimes L be an irreducible affine Weyl group with Coxeter complex ΣΣ, where WW denotes the associated finite Weyl group and LL the translation subgroup. The Steinberg torus is the Boolean cell complex obtained by taking the quotient of ΣΣ by the lattice LL. We show that the ordinary and flag hh-polynomial…

2007-09-27abs ↗pdf ↗

For every proper convex cone KR3K \subset \mathbb R^3 there exists a unique complete hyperbolic affine 2-sphere with mean curvature 1-1 which is asymptotic to the boundary of the cone. Two cones are associated if the corresponding affine spheres can be mapped to each other by an orientation-preserving isometry. This eq…

2018-06-18abs ↗pdf ↗

We give a geometric description of the fusion rules of the affine Lie algebra su(2)_k at a positive integer level k in terms of the k-th power of the basic gerbe over the Lie group SU(2). The gerbe can be trivialised over conjugacy classes corresponding to dominant weights of su(2)_k via a 1-isomorphism. The fusion-rul…

2009-09-01abs ↗pdf ↗

This paper optimizes portfolio selection for multivariate affine and quadratic Volterra models with rough volatilities.

problem Optimizing portfolio selection for multivariate models with rough volatilities and stochastic correlations.
method Investigates continuous-time Markowitz mean-variance problem for multivariate affine and quadratic Volterra models using Riccati backward stochastic differential equations (BSDEs).
result Derives explicit solutions for BSDEs in affine Volterra models and new analytic formulae for quadratic models.

We give a global version of Le-Ramanujam mu-constant theorem for polynomials. Let f_t, (t in [0,1]), be a family of polynomials of n complex variables with isolated singularities, whose coefficients are polynomials in t. We consider the case where some numerical invariants are constant (the affine Milnor number, the Mi…

2002-01-15abs ↗pdf ↗

The Bergman space and conformally flat 2-disk operads are linked to vertex operator algebras.

problem Understanding invariants of 2D Riemannian manifolds using algebraic structures.
method Introducing a suboperad and showing algebraic structures, using conformally flat factorization homology.
result The Bergman space is identified with the ind-Hilbert space completion of the affine Heisenberg vertex operator algebra.

Investigates mean-variance portfolio selection in non-Markovian markets.

problem Continuous-time Markowitz mean-variance portfolio selection in fake stationary affine Volterra models.
method Stochastic factor solution to a Riccati BSDE, deriving explicit solutions as multi-dimensional Riccati-Volterra equations.
result Analytical closed-form expressions for optimal portfolio policies and mean-variance efficient frontier.

The development of new classification and regression algorithms based on empirical risk minimization (ERM) over deep neural network hypothesis classes, coined deep learning, revolutionized the area of artificial intelligence, machine learning, and data analysis. In particular, these methods have been applied to the num…

2018-09-09abs ↗pdf ↗

Let MM be a 3×33\times 3 integer matrix each of whose eigenvalues is greater than 11 in modulus and let DZ3\mathcal{D}\subset\mathbb{Z}^3 be a set with D=detM|\mathcal{D}|=|\det M|, called digit set. The set equation MT=T+DMT = T+\mathcal{D} uniquely defines a nonempty compact set TR3T\subset \mathbb{R}^3. If TT has positive L…

2018-11-16abs ↗pdf ↗

Equality in Miyaoka-Yau inequality implies uniformization of Klt pairs.

problem Understanding uniformization of Klt pairs under equality in Miyaoka-Yau inequality.
method Analyzing Kähler klt pairs with specific conditions and using orbifold Miyaoka-Yau inequality.
result Orbifold universal cover is either the unit ball or affine space.

Study of parabolic Higgs bundles on curves with special fixed points.

problem Understanding fixed points of Cimes\mathbb{C}^ imes-action on moduli spaces of Higgs bundles.
method Analyzing Cimes\mathbb{C}^ imes-action on moduli spaces, classifying fixed points, and studying Bialynicki-Birula flows.
result Classification of very stable fixed points and their relation to Hitchin maps.

We show that the forbidden detour move, essentially introduced by Kanenobu and Nelson, is an unknotting operation for virtual knots. Then we define the forbidden detour number of a virtual knot to be the minimal number of forbidden detour moves necessary to transform a diagram of the virtual knot into the trivial knot …

2019-08-29abs ↗pdf ↗

We present new extensions to a method for constructing several families of solvable one-dimensional time-homogeneous diffusions whose transition densities are obtainable in analytically closed-form. Our approach is based on a dual application of the so-called diffusion canonical transformation method that combines smoo…

2009-07-16abs ↗pdf ↗

ATSM are widely applied for pricing of bonds and interest rate derivatives but the consistency of ATSM when the short rate, r, is unbounded from below remains essentially an open question. First, the standard approach to ATSM uses the Feynman-Kac theorem which is easily applicable only when r is bounded from below. Sec…

2004-04-05abs ↗pdf ↗

Algorithm tackles large-scale portfolio optimization with higher moments, improving computational efficiency.

problem Optimizing portfolios with higher moments (variance, skewness, kurtosis) for large asset universes is computationally infeasible.
method Developed a structure-exploiting algorithm based on Yau's affine-normal descent, working directly with return matrix.
result Algorithm avoids explicit higher-order tensors and exploits quartic structure for efficient computation.