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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.

169,341 papers · 148 categories

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48 results for current coupons

Study identifies current coupons for mortgage-backed securities.

problem Identifying current coupons for Agency backed TBA Mortgage Backed Securities.
method Doubly stochastic factor model with prepayment intensities dependent on current and origination mortgage rates. Solves a degenerate elliptic, non-linear fixed point problem using Schaefer's theorem.
result Existence and explicit approximation of current coupons provided, with numerical examples showing good performance.

Study uses causal machine learning to assess coupon campaign impact on retailer sales.

problem Assessing the causal effect of a coupon campaign on retailer sales.
method Causal machine learning algorithms, subgroup analysis, optimal policy learning.
result Only two coupon categories (drugstore and other food) have a significant positive impact on sales.

Gaussian Process Regression improves damage assessment in structural health monitoring.

problem Inaccurate damage quantification in varying conditions and environments.
method Gaussian Process Regression models with Damage Indices for probabilistic damage assessment.
result The method provides probability-based decision-making for structural health monitoring.

Pricing formulae for defaultable corporate bonds with discrete coupons under consideration of the government taxes in the united model of structural and reduced form models are provided. The aim of this paper is to generalize the comprehensive structural model for defaultable fixed income bonds (considered in [1]) into…

2013-09-06abs ↗pdf ↗

Paper analyzes pricing model for bonds with early redemption.

problem Analyzing pricing of bonds with early redemption features.
method Structural approach for mathematical modeling of bond prices.
result Existence and uniqueness of default and early redemption boundaries proved.

Study uses VIX for zero-coupon Treasury rates, proving long-term stability and returns.

problem Modeling zero-coupon Treasury rates with VIX for volatility.
method Multivariate autoregressive stochastic volatility model, proving stability and Law of Large Numbers.
result VIX accurately models zero-coupon Treasury rates and returns.

We introduce a bond portfolio management theory based on foundations similar to those of stock portfolio management. A general continuous-time zero-coupon market is considered. The problem of optimal portfolios of zero-coupon bonds is solved for general utility functions, under a condition of no-arbitrage in the zero-c…

2003-01-24abs ↗pdf ↗

Paper shows how to hedge zero coupon bonds with less capital, useful for investors and planners.

problem Hedging zero coupon bonds requires significant initial capital, which is costly.
method Derive a hedging strategy that invests in risky securities and fixed income as maturity approaches.
result Less expensive hedging strategy for zero coupon bonds is possible, reducing capital requirements.

The article uses jump-telegraph models to price zero coupon bonds and adjust convexity.

problem Pricing zero coupon bonds and adjusting for convexity in a short rate model.
method Markov-modulated model with jumps, jump-telegraph process, expectation hypothesis.
result Closed formulas for term structure and forward rates are derived.

Paper presents a new model for derivatives pricing using zero-coupon rates.

problem Exact volatility calibration of swaption matrices and structured products pricing.
method Model uses a dual-term structure with long-term zero-coupon rates driven by Brownian motion.
result Numerical scheme developed for model implementation and examples provided.

Study proposes framework for cyber bonds to compensate cyber attack losses.

problem Cyber risk treatment in finance industry.
method Developed a framework, used publicly available data to determine loss distribution parameters, numerically simulated bond price and characteristics, considered two coupon calculation approaches.
result Numerical simulations of cyber bond price, yield, and characteristics.

The paper introduces a stochastic deflator for financial derivatives pricing.

problem Pricing financial derivatives under economic and financial risk factors.
method Implement a stochastic deflator with five factors: interest rates, market risk, stock prices, default intensities, and convenience yields.
result The deflator approach is reliable for pricing financial derivatives.

The paper modifies interest rate models to better fit current economic conditions.

problem Current interest rate models do not accurately reflect the Fed's policy and market conditions.
method Proposes a modified Black-Karasinski model (Stochastic Verhulst model) for better economic environment representation.
result The Verhulst model's dynamics are well-suited for current economic conditions and Fed actions.

Study on numerical analysis for corporate bonds using a unified 2 factor model.

problem Develop a numerical method to solve a unified 2 factor model for corporate bonds with fixed discrete coupons.
method Used explicit finite difference scheme to analyze stability and compute bond prices.
result Found conditions for the explicit finite difference scheme to be stable and computed bond prices, credit spread, and duration.

Paper proposes an analytical pricing model for puttable bonds with credit risk.

problem Analytical pricing of puttable bonds with credit risk.
method Developed a 2-factor structural PDE model and derived analytical pricing formula under specific conditions.
result Derived analytical pricing formula for puttable bonds with credit risk.

The study uses machine learning to predict CAT bond coupons based on climate data.

problem Predicting CAT bond coupons using climate data.
method Combining climate indicators with machine learning models (random forest, gradient boosting, etc.).
result Extremely randomized trees achieved the lowest RMSE in predicting CAT bond coupons.

Framework for pricing and replicating barrier-style claims on asset price and volatility.

problem Pricing and replicating barrier-style claims on price and volatility.
method Assumes no arbitrage, frictionless markets, zero interest rates. Models risky asset as strictly positive continuous semimartingale with independent volatility process.
result Shows how to price and replicate barrier-style claims using the underlying asset, zero-coupon bonds, and European calls/puts.

PDE models value non callable defaultable bonds under JDCEV model.

problem Valuation of non callable defaultable bonds using PDEs.
method Two PDE problems solved using Crank-Nicolson semi-Lagrangian method and bi-quadratic Lagrange finite elements.
result Agreement between PDE approach and Monte Carlo, asymptotic methods.

New framework analyzes why more negative samples improve self-supervised learning performance.

problem Inconsistency between theoretical degradation and empirical improvement of downstream supervised tasks with more negative samples.
method Coupon collector's problem framework to analyze self-supervised representation learning with more negative samples.
result Bound can implicitly incorporate supervised loss in self-supervised loss by increasing negative samples.

Investors choose between bonds and savings accounts based on utility maximization.

problem Determining the optimal investment strategy in a stochastic interest rate environment.
method Analyzes utility maximization under two investment scenarios using affine term structure models.
result Bond indifference prices are found to be the roots of integral expressions.

This study benchmarks AI agents for personalized retail promotions using simulations.

problem Optimizing coupon targeting for sparse customer purchase events.
method Comprehensive simulations of customer shopping behaviors; training RL agents on batch data.
result Contextual bandit and deep RL methods outperform static policies in sparse reward environments.

In this paper, a finite-state mean-reverting model for the short-rate, based on the continuous time Ehrenfest process, will be examined. Two explicit pricing formulae for zero-coupon bonds will be derived in the general and the special symmetric cases. Its limiting relationship to the Vasicek model will be examined wit…

2010-03-29abs ↗pdf ↗

Develops a bi-variate stochastic framework to model mortality and interest rates with long-range dependence.

problem Captures long-range dependence and instantaneous correlation in mortality and interest rates.
method Mixed fractional Brownian motions, analytical solutions, risk-neutral measure, sequential parameter estimation.
result Explicit pricing of zero-coupon bonds and extreme mortality bonds, practical implications for pricing and risk management.

I present the technique which can analyse some interest rate models: Constantinides-Ingersoll, CIR-model, geometric CIR and Geometric Brownian Motion. All these models have the unified structure of Whittaker function. The main focus of this text is closed-form solutions of the zero-coupon bond value in these models. In…

2014-05-10abs ↗pdf ↗

The paper defines arbitrage-free prices for cash flows and forward contracts using Choquet theory.

problem Defining fair prices for financial instruments in markets with asymmetric exchangeability.
method Choquet representation theory applied to non-probability measures.
result Arbitrage-free prices can be represented as integrals of bond prices with respect to exchangeability measures.

The well-known theorem of Dybvig, Ingersoll and Ross shows that the long zero-coupon rate can never fall. This result, which, although undoubtedly correct, has been regarded by many as surprising, stems from the implicit assumption that the long-term discount function has an exponential tail. We revisit the problem in …

2013-06-21abs ↗pdf ↗

Paper offers fast, accurate pricing for long-dated contracts using real-world probability measure.

problem Inaccurate pricing of long-dated contracts in insurance and pension funds.
method Applies RMQ and JRMQ algorithms under real-world measure, using benchmark approach.
result Prices are less expensive than risk-neutral valuation, highlighting departure from traditional methods.