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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.

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0.6%1.2%1.8%2.4% · Dec 200919922001200920172026
48 results for Quanto CDS

Modified model for Quanto CDS pricing with stochastic recovery and reduced complexity.

problem Modeling Quanto CDS with stochastic recovery and reduced complexity of interest rate.
method Modified Itkin, Shcherbakov, and Veygman (2019) model with RBF-FD method.
result Influence of recovery rate volatility and mean-reversion on Quanto CDS spread.

We propose a new model for pricing Quanto CDS and risky bonds. The model operates with four stochastic factors, namely: hazard rate, foreign exchange rate, domestic interest rate, and foreign interest rate, and also allows for jumps-at-default in the FX and foreign interest rates. Corresponding systems of PDEs are deri…

2017-11-20abs ↗pdf ↗

This research uses empirical copulas to price quanto options, showing significant differences from traditional models.

problem The dependence relation between currency and asset prices affects quanto option pricing.
method Empirical copulas are used to model the dependence between currency and asset prices.
result Empirical copulas provide non-negligible pricing differences compared to traditional models.

The paper models quanto weather and energy derivatives using Ornstein-Uhlenbeck processes and develops methods to hedge them.

problem Valuation and hedging of quanto derivatives on temperature and electricity.
method Developed a coupled model using Ornstein-Uhlenbeck processes and Conditional Least Square method for parameter estimation.
result Explicit and semi-explicit formulas for quanto options and hedging strategies are derived.

The paper explores local-correlation models for pricing complex financial contracts.

problem Calibrating synthetic quanto forward contracts and composite options.
method Design on-line calibration procedures for local and stochastic volatility models.
result Calibration performance of local-correlation models compared to simpler approximations.

Study compares models for pricing multi-strike quanto call options with SV, SC, and SER.

problem Pricing multi-strike quanto call options with stochastic volatility, correlation, and exchange rates.
method Comparative analysis of SV, SC, and SER models; Monte Carlo simulation; Milstein scheme; antithetic variates; correlation risk parameters.
result GARCH-Jump SV, Weibull SC, and Ornstein Uhlenbeck (OU) SER model combination performs best.

Develops a new model for cross-currency derivatives pricing.

problem Pricing cross-currency derivatives in a complex market model.
method Introduces a random field LIBOR market model to handle uncertainty in forward LIBOR rates.
result Derives exact and approximate pricing formulas for various derivatives.

We explore inverse and quanto inverse crypto options, their pricing, and applications.

problem Market incompleteness in crypto options trading.
method Comparison of direct and inverse options, and introduction of currency-protected 'quanto' options.
result Pricing and hedging characteristics of inverse and quanto inverse options in a Black-Scholes framework.

Study uses AI to price exotic options with a new Levy process model.

problem Pricing exotic options with a non-Gaussian Levy process model.
method Introduced a new multivariate Levy process model and used a generative AI model to estimate the probability density function.
result Developed a method to price quanto options using a trained generative AI model.

In recent years there has been an advent of quanto options in energy markets. The structure of the payoff is rather a different type from other markets since it is written as a product of an underlying energy index and a measure of temperature. In the HJM framework, by adopting the futures energy dynamics, we use the M…

2018-10-12abs ↗pdf ↗

Modified perturbation method removes non-smoothness in solving Black-Scholes equations.

problem Non-smoothness in solving Black-Scholes equations.
method Variable transformations and homotopy perturbation method.
result Excellent agreement with exact solutions for Black-Scholes and multi-asset options.

The study presents examples of CD(0,N)CD(0,N) spaces with varying dimensions and discusses the limitations of the CD(0,N)CD(0,N) condition.

problem Exploring the properties and limitations of CD(0,N)CD(0,N) spaces with varying dimensions.
method Generalizing results from previous work, presenting examples and analyzing the conditions under which the CD(0,N)CD(0,N) condition fails.
result The CD(0,N)CD(0,N) condition is not stable under measured Gromov-Hausdorff convergence and may fail in various ways.

Paper offers a simple CDS approximation formula with high accuracy.

problem Lack of CDS levels for market appreciation of companies' default risk.
method Developed a global and transparent Equity-to-Credit (E2C) formula using random forest regression.
result Random forest regression with E2C formula achieves 87.3% out-of-sample accuracy in CDS approximations.

The problem of quantile hedging for basket derivatives in the Black-Scholes model with correlation is considered. Explicit formulas for the probability maximizing function and the cost reduction function are derived. Applicability of the results for the widely traded derivatives as digital, quantos, outperformance and …

2010-10-27abs ↗pdf ↗

Given any K and N we show that there exists a compact geodesic metric measure space satisfying locally the CD(0,4) condition but failing CD(K,N) globally. The space with this property is a suitable non convex subset of R^2 equipped with the l^\infty-norm and the Lebesgue measure. Combining many such spaces gives a (non…

2013-05-28abs ↗pdf ↗

New methods improve prediction regions for high-dimensional data.

problem Creating effective prediction regions for high-dimensional data.
method CD-split and HPD-split methods that combine split method and data-driven partition.
result CD-split and HPD-split converge to oracle highest predictive density set and satisfy local and asymptotic conditional validity.

Learning algorithms for energy based Boltzmann architectures that rely on gradient descent are in general computationally prohibitive, typically due to the exponential number of terms involved in computing the partition function. In this way one has to resort to approximation schemes for the evaluation of the gradient.…

2018-01-08abs ↗pdf ↗

Basel III introduces new capital charges for CVA. These charges, and the Basel 2.5 default capital charge can be mitigated by CDS. Therefore, to price in the capital relief that CDS contracts provide, we introduce a CDS pricing model with three legs: premium; default protection; and capital relief. If markets are compl…

2012-11-23abs ↗pdf ↗

Quantum annealer speeds up RBM training for image classification.

problem Training RBM with contrastive divergence (CD) is slow and computationally expensive.
method Used D-Wave 2000Q quantum annealer to calculate model expectation of gradient learning for RBM.
result Quantum training yields similar classification performance to CD but faster.

Regulators require financial institutions to estimate counterparty default risks from liquid CDS quotes for the valuation and risk management of OTC derivatives. However, the vast majority of counterparties do not have liquid CDS quotes and need proxy CDS rates. Existing methods cannot account for counterparty-specific…

2017-05-19abs ↗pdf ↗

Almost-Riemannian manifolds fail to meet a synthetic curvature condition.

problem Proving almost-Riemannian manifolds do not satisfy the CD\mathsf{CD} condition.
method Developed a new strategy to contradict the 1-dimensional CD\mathsf{CD} condition.
result 2D and strongly regular almost-Riemannian manifolds do not satisfy CD(K,N)\mathsf{CD}(K,N) for any KK and NN.

Uniform bounds on ends for non-branching CD spaces with nonnegative curvature outside a compact set.

problem Bounding the number of ends of non-branching CD spaces with nonnegative curvature outside a compact set.
method Adapting Z.-D. Liu's work to prove a ball covering property.
result Uniform bounds on the number of ends of such spaces.

Differentially private random block coordinate descent improves utility in machine learning.

problem Lack of privacy in classical CD methods when handling sensitive information.
method Proposes a differentially private random block coordinate descent method using sketch matrices and importance sampling.
result Demonstrates improved convergence rates and utility guarantees compared to non-private methods.

CDS options allow investors to express a view on spread volatility and obtain a wider range of payoffs than are possible with vanilla CDS. We give a detailed exposition of different types of single-name CDS option, including options with upfront protection payment, recovery options and recovery swaps, and also presents…

2011-12-30abs ↗pdf ↗

We review different approaches for measuring the impact of liquidity on CDS prices. We start with reduced form models incorporating liquidity as an additional discount rate. We review Chen, Fabozzi and Sverdlove (2008) and Buhler and Trapp (2006, 2008), adopting different assumptions on how liquidity rates enter the CD…

2010-03-03abs ↗pdf ↗

We introduce a modified non-linear heat equation tu=Δu+Γu\partial_t u = Δu + Γu as a substitute of logPtf\log P_t f where PtP_t is the heat semigroup. We prove an exponential decay of ΓuΓu under the Bakry Emery curvature condition CD(K,)CD(K,\infty) and prove the Li-Yau inequality Δutn2t-Δu_t \leq \frac{n}{2t} under the Bakry Emery curv…

2019-09-23abs ↗pdf ↗

The study proves sub-Riemannian manifolds cannot satisfy CD\mathrm{CD} conditions unless they are Riemannian.

problem Characterizing sub-Riemannian manifolds that satisfy CD\mathrm{CD} conditions.
method Analysis of tangent cones and geodesics, construction of new RCD\mathrm{RCD} structures.
result Sub-Riemannian manifolds are never CD(K,N)\mathrm{CD}(K,N) unless they are Riemannian.

We show that if a noncollapsed CD(K,n)CD(K,n) space XX with n2n\ge 2 has curvature bounded above by κκ in the sense of Alexandrov then K(n1)κK\le (n-1)κ and XX is an Alexandrov space of curvature bounded below by Kκ(n2)K-κ(n-2). We also show that if a CD(K,n)CD(K,n) space YY with finite nn has curvature bounded above then it is inf…

2017-12-07abs ↗pdf ↗

Contrastive divergence (CD) is a promising method of inference in high dimensional distributions with intractable normalizing constants, however, the theoretical foundations justifying its use are somewhat shaky. This document proposes a framework for understanding CD inference, how/when it works, and provides multiple…

2014-05-03abs ↗pdf ↗

Sharp log-Sobolev inequalities proved for CD(0,N){\sf CD}(0,N) spaces.

problem Proving log-Sobolev inequalities in noncompact metric measure spaces.
method Sharp isoperimetric inequality, symmetrisation, scaling argument, Hamilton-Jacobi inequality, Sobolev regularity.
result Sharp log-Sobolev inequalities established in CD(0,N){\sf CD}(0,N) spaces.