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We derive explicit valuation formulae for an exotic path-dependent interest rate derivative, namely an option on the composition of LIBOR rates. The formulae are based on Fourier transform methods for option pricing. We consider two models…

Pricing of Securities · Quantitative Finance 2010-02-26 Wolfgang Kluge , Antonis Papapantoleon

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…

Mathematical Finance · Quantitative Finance 2014-05-13 Dmitry Muravey

This paper proposes a forecast-centric adaptive learning model that engages with the past studies on the order book and high-frequency data, with applications to hypothesis testing. In line with the past literature, we produce brackets of…

Statistical Finance · Quantitative Finance 2021-03-02 Parley Ruogu Yang

Starting from inhomogeneous time scaling and linear decorrelation between successive price returns, Baldovin and Stella recently proposed a way to build a model describing the time evolution of a financial index. We first make it fully…

Data Analysis, Statistics and Probability · Physics 2009-09-29 Damien Challet , Pier Paolo Peirano

We extend the Lindquist-Rachev (LR) option-pricing framework--which values derivatives in markets lacking a traded risk-free bond--by introducing common Levy jump dynamics across two risky assets. The resulting endogenous "shadow" short…

Mathematical Finance · Quantitative Finance 2025-07-29 Ziyao Wang

We study the data-scaling of transfer learning from foundation models in the low-downstream-data regime. We observe an intriguing phenomenon which we call cliff-learning. Cliff-learning refers to regions of data-scaling laws where…

Machine Learning · Computer Science 2023-06-08 Tony T. Wang , Igor Zablotchi , Nir Shavit , Jonathan S. Rosenfeld

As a typical representation of complex networks studied relatively thoroughly, financial market presents some special details, such as its nonconservation and opinions spreading. In this model, agents congregate to form some clusters, which…

Other Condensed Matter · Physics 2007-05-23 Jie Wang , Chun-Xia Yang , Pei-Ling Zhou , Ying-Di Jin , Tao Zhou , Bing-Hong Wang

Recent models of the insurance risk process use a L\'evy process to generalise the traditional Cram\'er-Lundberg compound Poisson model. This paper is concerned with the behaviour of the distributions of the overshoot and undershoots of a…

Probability · Mathematics 2011-06-17 Philip S Griffin , Ross A Maller , Kees van Schaik

Within the framework of maximum entropy principle we show that the finite-size long-range Ising model is the adequate model for the description of homogeneous credit portfolios and the computation of credit risk when default correlations…

Other Condensed Matter · Physics 2016-08-31 Jordi Molins , Eduard Vives

We study the explosion phenomenon of nonlinear continuous-state branching processes (nonlinear CSBPs). First an explicit integral test for explosion is designed when the rate function does not increase too fast. We then exhibit three…

Probability · Mathematics 2024-04-10 Bo Li , Clément Foucart , Xiaowen Zhou

We present a general framework for the estimation of corporate default based on a firm's capital structure, when its assets are assumed to follow a pure jump L\'evy processes; this setup provides a natural extension to usual default metrics…

Pricing of Securities · Quantitative Finance 2021-08-13 Jean-Philippe Aguilar , Nicolas Pesci , Victor James

We study the effect of drift in pure-jump transaction-level models for asset prices in continuous time, driven by point processes. The drift is as-sumed to arise from a nonzero mean in the efficient shock series. It follows that the drift…

Statistics Theory · Mathematics 2015-01-07 Wen Cao , Clifford Hurvich , Philippe Soulier

The SABR model is a benchmark stochastic volatility model in interest rate markets, which has received much attention in the past decade. Its popularity arose from a tractable asymptotic expansion for implied volatility, derived by heat…

Mathematical Finance · Quantitative Finance 2017-07-27 Leif Doering , Blanka Horvath , Josef Teichmann

We investigate a generalized stochastic model with the property known as mean reversion, that is, the tendency to relax towards a historical reference level. Besides this property, the dynamics is driven by multiplicative and additive…

Physics and Society · Physics 2009-11-11 C. Anteneodo , R. Riera

We investigate LIBOR-based derivatives using a parsimonious field theory interest rate model capable of instilling imperfect correlation between different maturities. Delta and Gamma hedge parameters are derived for LIBOR Caps against…

Physics and Society · Physics 2008-12-02 Belal E. Baaquie , Cui Liang , Mitch C. Warachka

Class-incremental learning (CIL) has been widely studied under the setting of starting from a small number of classes (base classes). Instead, we explore an understudied real-world setting of CIL that starts with a strong model pre-trained…

Computer Vision and Pattern Recognition · Computer Science 2022-09-13 Tz-Ying Wu , Gurumurthy Swaminathan , Zhizhong Li , Avinash Ravichandran , Nuno Vasconcelos , Rahul Bhotika , Stefano Soatto

In this paper we consider a multivariate risk model with common renewal process, while the logarithmic returns of the insurers investment portfolio, are described by a Levy process. In the two main results are established an asymptotic…

Probability · Mathematics 2025-10-21 Dimitrios G. Konstantinides , Charalampos D. Passalidis

This paper offers a new class of models of the term structure of interest rates. We allow each instantaneous forward rate to be driven by a different stochastic shock, constrained in such a way as to keep the forward rate curve continuous.…

Statistical Mechanics · Physics 2008-12-02 P. Santa-Clara , D. Sornette

The classical derivation of the well-known Vasicek model for interest rates is reformulated in terms of the associated pricing kernel. An advantage of the pricing kernel method is that it allows one to generalize the construction to the…

Mathematical Finance · Quantitative Finance 2019-06-04 Dorje C. Brody , Lane P. Hughston , David M. Meier

It is generally accepted that many time series of practical interest exhibit strong dependence, i.e., long memory. For such series, the sample autocorrelations decay slowly and log-log periodogram plots indicate a straight-line…

Statistics Theory · Mathematics 2008-12-02 Rohit Deo , Meng-Chen Hsieh , Clifford M. Hurvich , Philippe Soulier
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