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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.

168,742 papers · 148 categories

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1223 · Aug 202419922001200920172026
48 results for RFR caplets

This paper provides a practical method to extract caplet volatilities from quoted data.

problem Extracting caplet volatilities from quoted data is complex and not straightforward.
method The paper presents a constructive algorithm based on criteria and robust outlier detection. It includes direct interpolation, bootstrap methods, and global search methods.
result The paper introduces methods to extract caplet volatilities that are arbitrage-free and consistent with quoted data.

Optimal AFs minimize RFR test error and sensitivity.

problem Finding optimal AFs for RFR to minimize test error and sensitivity.
method Closed-form solution for AFs minimizing test error and sensitivity under different functional parsimony.
result Optimal AFs can be linear, saturated linear, or Hermite polynomial expressions.

In this article we develop the theory of residually finite rationally pp (RFRpp) groups, where pp is a prime. We first prove a series of results about the structure of finitely generated RFRpp groups (either for a single prime pp, or for infinitely many primes), including torsion-freeness, a Tits alternative, and …

2016-04-07abs ↗pdf ↗

Efficiently calibrates SABR/LIBOR models to real market caplets and swaptions data.

problem Calibration of stochastic volatility models to real market data.
method Proposes a parallelized simulated annealing algorithm for multi-GPUs.
result Numerical results show advantages of using multi-GPUs for SABR/LIBOR model calibration.

New method optimizes hyperparameters for randomized algorithms like random feature regression.

problem Optimizing hyperparameters in randomized algorithms is challenging due to their stochastic nature.
method Introduced a random objective function and used ensemble Kalman inversion (EKI) for gradient-free optimization.
result Demonstrated successful optimization of hyperparameters in various randomized algorithms.

We provide a general and tractable framework under which all multiple yield curve modeling approaches based on affine processes, be it short rate, Libor market, or HJM modeling, can be consolidated. We model a numeraire process and multiplicative spreads between Libor rates and simply compounded OIS rates as functions …

2016-03-02abs ↗pdf ↗

In 2007 Agol showed that if N is an aspherical compact 3-manifold with empty or toroidal boundary such that its fundamental group is virtually RFRS, then NN is virtually fibered. We give a largely self-contained proof of Agol's theorem using complexities of sutured manifolds.

2012-10-17abs ↗pdf ↗

We consider an interest rate model with log-normally distributed rates in the terminal measure in discrete time. Such models are used in financial practice as parametric versions of the Markov functional model, or as approximations to the log-normal Libor market model. We show that the model has two distinct regimes, a…

2011-04-02abs ↗pdf ↗

Study uses weak transport for non-convex costs in fixed-income markets.

problem Characterizing optimal caplet pricing in fixed-income markets.
method Introduced weak optimal transport for non-convex costs, reduced general costs to convex problems.
result Established robust super-replication results for fixed-income markets.

Paper examines pricing and hedging for cross-currency swaps referencing backward-looking rates.

problem Pricing and hedging cross-currency swaps with backward-looking rates.
method Uses interest rate and currency futures for hedging, analyzes arbitrage-free multi-curve setting.
result Explicit pricing and hedging results for CCBS with backward-looking rates.

SRFRN accelerates image super-resolution using shallow residual units.

problem High computational complexity and time in deep learning image super-resolution.
method SRFRN uses a bicubic interpolated low-resolution image and residual representative units (RFR) for faster and more efficient high-resolution image reconstruction.
result SRFRN achieves superior performance and faster execution time compared to existing methods.

We show that a finitely generated residually finite rationally solvable (or RFRS) group GG is virtually fibred, in the sense that it admits a virtual surjection to Z\mathbb{Z} with a finitely generated kernel, if and only if the first L2L^2-Betti number of GG vanishes. This generalises (and gives a new proof of) the…

2018-09-25abs ↗pdf ↗

We prove that an irreducible 3-manifold whose fundamental group satisfies a certain group-theoretic property called RFRS is virtually fibered. As a corollary, we show that 3-dimensional reflection orbifolds and arithmetic hyperbolic orbifolds defined by a quadratic form virtually fiber. These include the Seifert Weber …

2007-07-31abs ↗pdf ↗

Optimizes chip component placement with self-alignment for SMT technology.

problem Achieving precise component placement on PCB during SMT process.
method Proposed machine learning algorithms (SVR and RFR) to predict component positions and developed non-linear optimization model.
result RFR model outperforms in predicting component positions before reflow.

Extends DML for parametric problems, improving accuracy and efficiency in pricing and calibration.

problem Improving precision and efficiency in pricing and calibration for parametric problems.
method Exploits derivative information, uses adaptive parameter sampling, constructs pricing surrogates, and optimizes globally.
result Demonstrates improved accuracy and efficiency in pricing and calibration for complex models.

New method prices interest rate derivatives without Monte Carlo, achieving high accuracy and speed.

problem Arbitrage-free pricing of path-dependent interest rate derivatives using infinite-dimensional models.
method Casting the stochastic pricing problem as a deterministic PDE solved by FINNs, which minimize violations of the PDE and boundary conditions.
result FINNs achieve pricing accuracy within 0.04 to 0.07 cents per dollar of contract value compared to Monte Carlo benchmarks.

Study develops machine learning model to predict component movement during reflow in SMT.

problem Inaccurate self-alignment of components during reflow process in SMT leads to defects.
method Experimental data analysis followed by advanced machine learning models (SVR, NN, RFR) to predict component shift in x, y, and rotational directions.
result Random forest regression (RFR) model predicts component shift with high accuracy and low error.

The class of affine LIBOR models is appealing since it satisfies three central requirements of interest rate modeling. It is arbitrage-free, interest rates are nonnegative and caplet and swaption prices can be calculated analytically. In order to guarantee nonnegative interest rates affine LIBOR models are driven by no…

2015-03-03abs ↗pdf ↗

New groups found that don't virtually algebraically fiber, related to mapping class group orbits.

problem Existence of finite orbits for higher Prym representations of the mapping class group.
method Study of surface-by-surface and surface-by-free groups.
result Existence of free-by-free and free-by-surface groups that do not algebraically fiber.

We propose an affine extension of the Linear Gaussian term structure Model (LGM) such that the instantaneous covariation of the factors is given by an affine process on semidefinite positive matrices. First, we set up the model and present some important properties concerning the Laplace transform of the factors and th…

2014-12-23abs ↗pdf ↗

The aim of this work is to provide fast and accurate approximation schemes for the Monte-Carlo pricing of derivatives in the Lévy LIBOR model of Eberlein and Özkan (2005). Standard methods can be applied to solve the stochastic differential equations of the successive LIBOR rates but the methods are generally slow. We …

2010-06-16abs ↗pdf ↗

In this short note, using our geometric method introduced in a previous paper \cite{phl} and initiated by \cite{ave}, we derive an asymptotic swaption implied volatility at the first-order for a general stochastic volatility Libor Market Model. This formula is useful to quickly calibrate a model to a full swaption matr…

2006-02-15abs ↗pdf ↗

This paper stems from the observation (arising from work of T. Delzant) that "most" Kähler groups virtually algebraically fiber, i.e. admit a finite index subgroup that maps onto Z\Bbb{Z} with finitely generated kernel. For the remaining ones, the Albanese dimension of all finite index subgroups is at most one, i.e. t…

2017-04-24abs ↗pdf ↗

In this paper we consider the pricing of options on interest rates such as caplets and swaptions in the Lévy Libor model developed by Eberlein and Özkan (2005). This model is an extension to Lévy driving processes of the classical log-normal Libor market model (LMM) driven by a Brownian motion. Option pricing is signif…

2015-11-26abs ↗pdf ↗