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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.

168,786 papers · 148 categories

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142285427569 · Jun 202019922001200920172026
48 results for weak-form efficiency

Study confirms weak-form market efficiency using machine learning on US stock data.

problem Validating weak-form market efficiency using machine learning.
method Conducted econometric tests and implemented algorithmic trading with five machine learning algorithms.
result No predictive power found in any machine learning model, reinforcing weak-form market efficiency.

Survey of weak form's role in equation learning, parameter estimation, and coarse graining.

problem Noise robustness, accuracy, and computational efficiency in weak form applications.
method Survey and recent developments in weak form versions of equation learning, parameter estimation, and coarse graining.
result Surprising noise robustness, accuracy, and computational efficiency in weak form applications.

Self-test loss functions improve data-driven modeling of weak-form operators and gradient flows.

problem Challenges in selecting test functions for data-driven modeling involving weak-form operators and gradient flows.
method Introducing self-test loss functions that depend on unknown parameters and are quadratic.
result Self-test loss functions conserve energy for gradient flows and coincide with log-likelihood ratios for stochastic differential equations.

We perform detrending moving average analysis (DMA) and detrended fluctuation analysis (DFA) of the WTI crude oil futures prices (1983-2012) to investigate its efficiency. We further put forward a strict statistical test in the spirit of bootstrapping to verify the weak-form market efficiency hypothesis by employing th…

2012-11-20abs ↗pdf ↗

Paper proposes an EKF for estimating time-varying market efficiency.

problem Estimating time-varying market efficiency under nonlinear dynamics.
method Extended Kalman Filter (EKF) for time-varying autoregressive models.
result U.S. market generally remained weak-form efficient since mid-1946.

I prove that if markets are weak-form efficient, meaning current prices fully reflect all information available in past prices, then P = NP, meaning every computational problem whose solution can be verified in polynomial time can also be solved in polynomial time. I also prove the converse by showing how we can "progr…

2010-02-11abs ↗pdf ↗

Weak form of the Efficiency Market Hypothesis (EMH) excludes predictions of future market movements from historical data and makes the technical analysis (TA) out of law. However the technical analysis is widely used by traders and speculators who steadely refuse to consider the market as a "fair game" and survive with…

1999-02-03abs ↗pdf ↗

Examines WENDy-IRLS algorithm's noise robustness and efficiency in various differential equations.

problem Noise robustness and efficiency of WENDy-IRLS algorithm.
method Studied coverage and bias properties of WENDy-IRLS algorithm's estimators in various differential equations and noise distributions.
result WENDy-IRLS algorithm shows notable noise robustness and computational efficiency.

Method identifies IPS governing equations from particle data efficiently.

problem Identify governing equations of interacting particle systems efficiently.
method Combines mean-field theory and WSINDy for large NN and MM.
result Converges with rate O(N1/2)\mathcal{O}(N^{-1/2}) for N100N \geq 100.

WSINDy algorithm proves robust to noise in identifying differential equations.

problem Identifying differential equations from noisy data.
method Weak-form sparse identification of nonlinear dynamics (WSINDy) algorithm.
result WSINDy is asymptotically consistent for a wide class of models, including Navier-Stokes and Kuramoto-Sivashinsky equations.

In this paper we show that a substantial Riemannian submersion of S(15) with 7- dimensional fibres is congruent to the standard Hopf fibration. As a consequence we prove a slightly weak form of of the Diameter Rigidity theorem for the Cayley plane which is considerably stronger than the very recent Radius Rigidity Theo…

1995-10-31abs ↗pdf ↗

We study immersed surfaces in R3\mathbb{R}^3 which are critical points of the Willmore functional under boundary constraints. The two cases considered are when the surface meets a plane orthogonally along the boundary, and when the boundary is contained in a line. In both cases we derive weak forms of the resulting fre…

2019-06-13abs ↗pdf ↗

Hypothesis of Market Efficiency is an important concept for the investors across the globe holding diversified portfolios. With the world economy getting more integrated day by day, more people are investing in global emerging markets. This means that it is pertinent to understand the efficiency of these markets. This …

2017-09-12abs ↗pdf ↗

The paper establishes maximum principles and stochastic completeness for pseudo-Hermitian manifolds.

problem Maximum principles and stochastic completeness for pseudo-Hermitian manifolds.
method Established generalized maximum principles and proved stochastic completeness equivalence.
result Stochastic completeness for the heat semigroup is equivalent to generalized maximum principles.

For the first time in mathematical finance field, we propose the local weak form meshless methods for option pricing; especially in this paper we select and analysis two schemes of them named local boundary integral equation method (LBIE) based on moving least squares approximation (MLS) and local radial point interpol…

2014-10-29abs ↗pdf ↗

Study shows how information loss and operation loss are related in feature representations.

problem Understanding the relationship between information loss and operation loss in feature representations.
method Analyzes the interplay between weak information loss and operation loss in continuous representations.
result Specific forms of vanishing information loss imply vanishing MPE loss in classification.

Study finds Bitcoin market efficient, no exploitable inefficiencies with neural networks.

problem Investigating market inefficiencies in Bitcoin using neural networks.
method Used a feedforward neural network with various asset-related input features.
result Adding more features does not improve prediction accuracy, and one feature set outperforms a buy-and-hold strategy.

ΓΓ-structures are weak forms of multiplications on closed oriented manifolds. As shown by Hopf the rational cohomology algebras of manifolds admitting ΓΓ-structures are free over odd degree generators. We prove that this condition is also sufficient for the existence of ΓΓ-structures on manifolds which are nilpotent…

2016-02-22abs ↗pdf ↗

Let ΩRd,d2Ω\subset \mathbb R^d\,, d\geq 2, be a bounded open set, and denote by λ_j(Ω),j1λ\_j(Ω), j\geq 1, the eigenvalues of the Dirichlet Laplacian arranged in nondecreasing order, with multiplicities. The weak form of Pleijel's theorem states that the number of eigenvalues λ_j(Ω)λ\_j(Ω), for which there exists an associated eigenf…

2015-12-22abs ↗pdf ↗

Generalized Calabi-Yau structures, a notion recently introduced by Hitchin, are studied in the case of K3 surfaces. We show how they are related to the classical theory of K3 surfaces and to moduli spaces of certain SCFT as studied by Aspinwall and Morrison. It turns out that K3 surfaces and symplectic structures are b…

2003-06-10abs ↗pdf ↗

Study topological hyperbolicity of moduli spaces of elliptic surfaces.

problem Characterize the largeness of the topological fundamental group of complex varieties.
method Introduce topological hyperbolicity and provide supporting evidence for moduli spaces of elliptic surfaces.
result Establish a weak form of topological hyperbolicity for moduli spaces of elliptic surfaces of Kodaira dimension one.

Develops thermodynamic formalism for quasimorphisms on negatively curved spaces.

problem Analyzing quasimorphisms on negatively curved spaces.
method Thermodynamic formalism framework, Banach isomorphism, weak Livšic cohomology.
result Establishes Central Limit Theorem and invariance principle for unbounded quasimorphisms.

Let ΣΣ be a hypersurface in an nn-dimensional Riemannian manifold MM, n2n\geqslant 2. We study the isometric extension problem for isometric immersions f:ΣRnf:Σ\to\mathbb R^n, where Rn\mathbb R^n is equipped with the Euclidean standard metric. We prove a general curvature obstruction to the existence of merely differen…

2015-01-13abs ↗pdf ↗

Let GG be a usc decomposition of SnS^n, HGH_G denote the set of nondegenerate elements and ππ be the natural projection of SnS^n onto Sn/GS^n/G. Suppose that each point in the decomposition space has arbitrarily small neighborhoods with (n1n-1)-sphere frontiers or boundaries which miss π(HG)π(H_G). If all the arcs are tam…

2013-09-20abs ↗pdf ↗

The study forecasts hourly intraday electricity prices using ensemble methods.

problem Weak-form efficiency of hourly German Intraday Continuous Market prices.
method Probabilistic forecasting with ensemble trajectories, generalized additive model, and lasso penalty.
result The mixture model outperforms benchmarks in forecasting price distribution and volatility.

Study canonical deformations of complex forms and their cohomology properties.

problem Understanding canonical deformations and cohomology of complex manifolds.
method Analyzes canonical Aeppli deformations and their relations to deformed cohomology.
result Proves the jumping formula for deformed Aeppli cohomology and constant dimension conditions.

Extends Hess-Schrader-Uhlenbrock inequality for 1-forms in tamed Dirichlet spaces.

problem Establishing a new inequality for 1-forms in tamed Dirichlet spaces.
method Developed a vector calculus for tamed Dirichlet spaces and applied it to establish the inequality.
result Established the Hess-Schrader-Uhlenbrock inequality for 1-forms in L2L^2-cotangent module.