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arXiv research

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.

169,291 papers · 148 categories

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48 results for time and mark

Proposes a method to predict both time and mark of next event in marked temporal dynamics.

problem Predicting both time and mark of the next event in marked temporal dynamics.
method Uses a mark-specific intensity function to model the dependency between time and mark.
result Outperforms state-of-the-art methods in predicting marked temporal dynamics.

New model captures time and mark inter-dependence in TPPs.

problem Limited predictive performance of conditionally independent TPP models on entangled time and mark interactions.
method Developed a multivariate TPP that models conditional inter-dependence of time and mark, using both intensity-based and intensity-free models.
result Proposed TPP models outperform conditionally independent and dependent models in standard prediction tasks.

Methodology for estimating marked Hawkes processes with neural networks.

problem Estimating conditional intensity of marked Hawkes processes.
method Proposes two models: Shallow Neural Hawkes with marks and Neural Network for Non-Linear Hawkes with Marks.
result Validation on synthetic datasets and real-world cryptocurrency order book data.

Neural marked point processes show saturation with complexity, leading to new simple architectures.

problem Performance saturation in neural marked point processes with complex architectures.
method Proposed GCHP with graph convolutional layers and likelihood ratio loss.
result GCHP reduces training time and improves model performance.

A new method for pricing derivatives using self-exciting dynamics and finite-difference transforms.

problem Pricing derivatives with accumulated marks using a self-exciting marked point process.
method Derive discounted pricing equation as a PIDE, transform to one-dimensional PIDEs, use Laplace/Fourier transform, approximate jump term, solve using finite difference scheme.
result Efficiently price derivatives with accumulated marks using a novel finite-difference and transform approach.

The purpose of this paper is to design an algorithm for the computation of the counterparty risk which is competitive in regards of a brute force "Monte-Carlo of Monte-Carlo" method (with nested simulations). This is achieved using marked branching diffusions describing a Galton-Watson random tree. Such an algorithm le…

2012-03-11abs ↗pdf ↗

Introduces a new class of hybrid processes combining Markov chains and Hawkes processes.

problem Characterize and ensure existence and uniqueness of complex hybrid marked point processes.
method Defines hybrid marked point processes implicitly via intensity and state process interactions, proving existence and uniqueness under general assumptions.
result Proves existence and uniqueness of hybrid marked point processes, extending existing results.

This paper tackles efficient learning for factorial marked temporal point processes.

problem Efficient learning for factorial marked temporal point processes.
method Decoupled learning method with two procedures: ADM-M and Fast ISTA, and a reformulated Logistic Regression model.
result Empirical results show the efficiency of the decoupled and reformulated method.

New method recalibrates VaR for option books, reducing forecast errors.

problem Inaccurate VaR forecasts due to missing operational choices.
method Marking-aware sequential VaR recalibration targeting normalized book-level loss.
result Sequential VaR recalibration improves VaR performance across different markets and options.

The authors seek financial datasets to benchmark feature engineering methods on US market data.

problem Improving predictive models for financial data science competitions.
method Feature engineering methods applied to multivariate time-series data from the US market.
result Predictive power of models tested against Numerai-Signals targets.

We present a marked analogue of Carter and Saito's movie theorem. Our definition of marking was chosen to coincide with the markings that arise in link Floer homology. In order to deal with complications arising from certain isotopies, we define three equivalence relations for marked surfaces and work over an equivalen…

2014-07-17abs ↗pdf ↗

Study applies Hawkes volatility to mid-price process for real-time risk management.

problem Lack of studies on Hawkes volatility for tick-level price dynamics.
method Derived variance formula for unmarked and marked Hawkes models, applied to mid-price process.
result Reliable results and high predictive power of intraday Hawkes volatility.

New model for multivariate discrete event data with flexible interactions.

problem Modeling multivariate discrete event data with categorical interactions.
method Developed a new modeling approach with convex constraints, two estimation procedures (LS and ML).
result Proposed model can capture arbitrary shapes of historical event influence.

Survey on decorated marked surfaces for Calabi-Yau categories.

problem Understanding Calabi-Yau categories and related structures.
method Introducing decorations on marked surfaces to study various categories.
result Exploration of Calabi-Yau-2 and 3 categories, braid groups, quadratic differentials, and stability conditions.

Study of skein modules of marked 3-manifolds and Chebyshev-Frobenius homomorphism.

problem Understanding skein modules of marked 3-manifolds and their algebraic properties.
method Extension of Muller's result to marked surfaces with unmarked boundary components, development of surgery theory, and application of Chebyshev homomorphism.
result Extension of Chebyshev-Frobenius homomorphism to skein modules of marked 3-manifolds and characterization of its image.

Predict cell loads in cellular networks using statistical learning of geometric marks.

problem Predicting cell loads in cellular networks using geometric marks.
method Statistical regression model and scattering moments of random measures.
result Scattering moments can capture similar geometry information as baseline approach and improve performance.

Study approximate marked length spectrum rigidity in non-positively curved groups.

problem Approximate rigidity of marked length spectra in non-positively curved groups.
method Compare marked length spectra of isometric actions of groups with non-positively curved features.
result Supremum of quotient of marked length spectra is approximately determined by restricted spectra.

Differentiable adversarial attacks improve model robustness in MTPP models.

problem Improving model robustness against adversarial attacks in MTPP models.
method Proposed a differentiable adversarial attack scheme PERMTPP that addresses the sequential nature and varying time-scales of MTPPs.
result Demonstrated offensive and defensive capabilities, and reduced inference times on real-world datasets.

We use Fox calculus to assign a marked polytope to a `nice' group presentation with two generators and one relator. Relating the marked vertices to Novikov-Sikorav homology we show that they determine the Bieri-Neumann-Strebel invariant of the group. Furthermore we show that in many cases the marked polytope is an inva…

2015-01-14abs ↗pdf ↗

Quantum duality map extended to general marked surfaces and its compatibility with skein algebras proven.

problem Generalizing quantum duality map to general marked surfaces and proving its compatibility with skein algebras.
method Generalized quantum duality map, reduced stated skein algebras, quantum trace maps, skein lifting.
result Compatibility of quantum duality map with skein algebras proven.

A new method uses Brownian motion local time to estimate counterparty risk efficiently.

problem Efficient estimation of counterparty risk in OTC derivatives contracts.
method Exploiting properties of Brownian motion local time to compute risk.
result Significantly reduces computational effort and costs in estimating counterparty risk.

The paper constructs a moduli space for opers and proves its symplectic properties.

problem Understanding the moduli space of opers and its symplectic structure.
method Constructing the moduli space of marked oper structures and proving properties of the holonomy map.
result The symplectic structure on the moduli space of marked complex projective structures extends to a pre-symplectic structure on the moduli space of marked opers.

Survey of stated skein modules/algebras of 3-manifolds/surfaces.

problem Understanding stated skein modules/algebras of 3-manifolds/surfaces.
method Discussion of splitting homomorphism, general structures, Frobenius homomorphism, center, dimension, representation theory.
result Skein algebra of non-closed marked surface at any root of 1 is a maximal order.

New Khovanov homology for marked links collapses spectral sequence.

problem Understanding instanton theory and its relation to Khovanov homology.
method Introducing marked Khovanov homology and studying its properties.
result Khovanov homology for alternating links does not depend on marking data for non-split links.

Develops quasi-likelihood analysis for marked point processes and applies it to Hawkes processes.

problem Analyzing multivariate marked point processes and their applications.
method Quasi-likelihood analysis for a general class of multivariate marked point processes, with focus on marked Hawkes processes.
result The quasi-likelihood analysis for marked Hawkes processes provides explicit conditions for ergodicity and Markovian transformation.

The paper extends intensity models for limit order books using marked point processes.

problem Modeling intensity ratios in limit order books with state dependency and clustering.
method Developed a new model combining three multiplicative components for marked point processes.
result The new model outperforms other intensity-based methods in predicting market order signs and aggressiveness.

We prove that the classical set of moves for standard spines of 3-manifolds (i.e. the MP-move and the V-move) does not suffice to relate to each other any two standard skeleta of a 3-manifold with marked boundary. We also describe a condition on the 3-manifold with marked boundary that tells whether the generalised set…

2008-04-04abs ↗pdf ↗

A new method uses Transformers for efficient prediction of marked point processes.

problem Efficiently predicting the next event in a sequence given its history.
method Modeling conditional inter-event times with a mixture of log-normals and marks with a Transformer architecture.
result The method achieves state-of-the-art performance and is faster during inference.

New theorem shows metrics of certain groups are close if their lengths are identical.

problem Identifying metrics of relatively hyperbolic groups from their lengths.
method Proved rigidity for relatively hyperbolic groups using coarse marked length spectrum.
result Metrics of relatively hyperbolic groups are uniformly close if lengths are identical.

Marked vertex diagrams provide a combinatorial way to represent knotted surfaces in R4\mathbb{R}^4; including virtual crossings allows for a theory of virtual knotted surfaces and virtual cobordisms. Biquandle counting invariants are defined only for marked vertex diagrams representing knotted orientable surfaces; we e…

2014-09-27abs ↗pdf ↗