Research
On-device research index

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.

168,742 papers · 148 categories

Trend · papers per month

94189283377 · Jun 202019922001200920172026
48 results for order calculation

EPINE enhances network embedding by improving adjacency matrix-based high-order proximity.

problem Inaccurate and poorly designed calculation of high-order proximity in network embedding.
method EPINE redefines high-order proximity intuitively and proposes a scalable algorithm for accurate calculation.
result EPINE outperforms existing methods in network reconstruction, link prediction, and node classification.

Different variants of MFDFA technique are applied in order to investigate various (artificial and real-world) time series. Our analysis shows that the calculated singularity spectra are very sensitive to the order of the detrending polynomial used within the MFDFA method. The relation between the width of the multifrac…

2012-12-03abs ↗pdf ↗

The paper calculates option prices using Mellin transform for stochastic volatility models.

problem Calculating prices for path-dependent options under stochastic volatility.
method Asymptotic approach and Mellin transform for deriving closed-form formulas.
result Derives closed-form formulas for option prices with first-order approximation.

Fast method developed for pricing barrier options and joint Lévy process distributions.

problem Accurate pricing of barrier options and joint distributions in Lévy models.
method Dual space calculations, Wiener-Hopf factorization, sinh-deformations, Gaver-Wynn Rho acceleration.
result Achieves precision of 101510^{-15} in seconds and 10910810^{-9}-10^{-8} in fractions of a second.

We consider a simple model for the evolution of a limit order book in which limit orders of unit size arrive according to independent Poisson processes. The frequencies of buy limit orders below a given price level, respectively sell limit orders above a given level are described by fixed demand and supply functions. B…

2016-12-03abs ↗pdf ↗

This thesis builds a real-time VaR calculation workflow for crypto derivatives.

problem Managing risk in volatile cryptocurrency markets.
method Applied EMWA, GARCH, and HAR models to forecast volatility; used delta-gamma-theta approach and Cornish-Fisher expansion.
result Real-time VaR estimates with millisecond calculation latencies.

Risk management in financial derivative markets requires inevitably the calculation of the different price sensitivities. The literature contains an abundant amount of research works that have studied the computation of these important values. Most of these works consider the well-known Black and Scholes model where th…

2017-05-06abs ↗pdf ↗

We investigate the probability distribution of order imbalance calculated from the order flow data of 43 Chinese stocks traded on the Shenzhen Stock Exchange. Two definitions of order imbalance are considered based on the order number and the order size. We find that the order imbalance distributions of individual stoc…

2017-07-18abs ↗pdf ↗

This paper calculates the derivative of surface holonomy for non-abelian gerbes.

problem Calculating the derivative of surface holonomy for non-abelian gerbes.
method Explicit calculation of the derivative formula for surface holonomy of squares mapped into the base manifold.
result Derivation of a formula for the derivative of surface holonomy of squares mapped into the base manifold.

New ODE solvers improve training efficiency and accuracy.

problem Training Neural ODEs requires efficient and accurate gradient calculation.
method Presented algebraically reversible ODE solvers that are time and memory efficient, calculate exact gradients, and are numerically stable.
result Reversible solvers strictly improve upon previous architectures in efficiency and accuracy.

Improves safety region certification for smoothed classifiers without changing smoothing scheme.

problem Certified safety regions for smoothed classifiers are often small compared to optimal.
method Generalizes certified radius calculation as nested optimization problem, uses 0th-1st order information, and designs efficient estimators.
result Certified safety regions are significantly larger than current methods, achieving significant improvements on various metrics.

We study the dynamics of the `batch' minority game with market-impact correction using generating functional techniques to carry out the quenched disorder average. We find that the assumption of weak long-term memory, which one usually makes in order to calculate ergodic stationary states, breaks down when the persiste…

2001-08-03abs ↗pdf ↗

In this paper, we show that the Ozsváth-Szabó contact invariant c+(ξ)HF+(Y)c^+(ξ)\in HF^+(-Y) of a contact 3-manifold (Y,ξ)(Y,ξ) can be calculated combinatorially if YY is the boundary of a certain type of plumbing XX, and ξξ is induced by a Stein structure on XX. Our technique uses an algorithm of Ozsváth and Szabó to determi…

2009-10-20abs ↗pdf ↗

Paper calculates topological complexity of robot movement in narrow aisles.

problem Determining minimum number of scenarios for robot movement in a narrow strip.
method Examined cohomology ring of ordered configuration space to find lower bound.
result Lower bound for minimum number of cases in robot movement program.

Based on the theory of Poisson vertex algebras we calculate skew-symmetry conditions and Jacobi identities for a class of third-order nonlocal operators of differential-geometric type. Hamiltonian operators within this class are defined by a Monge metric and a skew-symmetric two-form satisfying a number of differential…

2018-05-02abs ↗pdf ↗

The paper calculates a specific weight system for chord diagrams with a particular graph structure.

problem Calculating a specific weight system for chord diagrams with a complete bipartite graph structure.
method Using a Lie algebra sl3\mathfrak{sl}_3 and its weight system, the authors derive a function on chord diagrams.
result The authors compute the sl3\mathfrak{sl}_3 weight system for chord diagrams with a complete bipartite graph structure.

The mean-field variant of the model of limit order driven market introduced recently by Maslov is formulated and solved. The agents do not have any strategies and the memory of the system is kept within the order book. We show that he evolution of the order book is governed by a matrix multiplicative process. The resul…

2001-04-27abs ↗pdf ↗

In a strengthening of the G-Signature Theorem of Atiyah and Singer, we compute, at least in principle (modulo certain torsion of exponent dividing a power of the order of G), the class in equivariant K-homology of the signature operator on a G-manifold, localized at a prime idea of R(G), in terms of the classes in non-…

1998-12-22abs ↗pdf ↗

The paper introduces a new class of multivariate mixtures for actuarial applications.

problem Developing a new class of multivariate mixtures for actuarial calculations.
method Proposed a class of multivariate matrix-exponential affine mixtures with matrix-exponential marginals.
result Explicit calculations of actuarial quantities are possible due to the proposed class's properties.

Efficiently calculates PL model likelihood for partitioned preference data.

problem Computational infeasibility of calculating PL model likelihood for partitioned preference data.
method Random utility model formulation and efficient numerical integration approach.
result Proposed method outperforms existing LTR baselines and scales to real-world tasks.

We define and study Vassiliev invariants for (long) Morse knots. It is shown that there are Vassiliev invariants which can distinguish some topologically equivalent Morse knots. In particular, there is an invariant of order 3 for Morse knots with one maximum that distinguishes two different representations of the figur…

2000-08-13abs ↗pdf ↗

Machine learning speeds up quantum chemical calculations of excited states.

problem Accurate quantum chemical calculations of excited states are computationally expensive.
method Employing machine learning to speed up and advance excited-state simulations in various fields.
result Machine learning techniques can significantly reduce computational time for excited-state simulations.

We calculate a wall crossing formula for 4-dimensional Poincare-Einstein metrics, through a wall made of orbifold Poincare-Einstein metrics with A1 singularities. This is based on a formalism which enables to deal with higher order terms of the Einstein equation in this setting. Some other consequences are deduced.

2013-11-05abs ↗pdf ↗

We consider the Laplacian associated with a general metric in the canonical conformal structure of the noncommutative two torus, and calculate a local expression for the term a_4 that appears in its corresponding small-time heat kernel expansion. The final formula involves one variable functions and lengthy two, three …

2016-11-29abs ↗pdf ↗

A new method for MARL with partial observations reduces communication overhead.

problem Inefficient MARL algorithms in large-scale problems due to state and action information sharing.
method Distributed zeroth-order policy optimization with local policy gradient estimation using consensus.
result The method converges to a policy that is a stationary point of the global objective function.