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Consider an insurance company exposed to a stochastic economic environment that contains two kinds of risk. The first kind is the insurance risk caused by traditional insurance claims, and the second kind is the financial risk resulting…

Statistics Theory · Mathematics 2015-07-29 Jinzhu Li , Qihe Tang

We consider a discrete-time version of the popular optimal dividend pay-out problem in risk theory. The novel aspect of our approach is that we allow for a risk averse insurer, i.e., instead of maximising the expected discounted dividends…

Probability · Mathematics 2015-12-02 Nicole Bäuerle , Anna Jaśkiewicz

In this paper a multi-factor generalization of Ho-Lee model is proposed. In sharp contrast to the classical Ho-Lee, this generalization allows for those movements other than parallel shifts, while it still is described by a recombining…

Probability · Mathematics 2008-12-02 Jirô Akahori , Hiroki Aoki , Yoshihiko Nagata

This paper focuses on modelling loss reserving to pay outstanding claims. As the amount liable on any given claim is not known until settlement, we propose a flexible model via heavy-tailed and skewed distributions to deal with outstanding…

Methodology · Statistics 2023-12-07 William L. Leão , Viviana G. R. Lobo

We derive a small-time expansion for out-of-the-money call options under an exponential Levy model, using the small-time expansion for the distribution function given in Figueroa-Lopez & Houdre (2009), combined with a change of num\'eraire…

Pricing of Securities · Quantitative Finance 2011-12-15 Jose E. Figueroa-Lopez , Martin Forde

An extension of the Heath--Jarrow--Morton model for the development of instantaneous forward interest rates with deterministic coefficients and Gaussian as well as L\'evy field noise terms is given. In the special case where the L\'evy…

Probability · Mathematics 2008-12-02 Sergio Albeverio , Eugene Lytvynov , Andrea Mahnig

In this paper, we consider the problem of optimal investment by an insurer. The insurer invests in a market consisting of a bank account and $m$ risky assets. The mean returns and volatilities of the risky assets depend nonlinearly on…

Portfolio Management · Quantitative Finance 2019-03-22 Hiroaki Hata , Shuenn-Jyi Sheu , Li-Hsien Sun

We develop the theory of the $W$ and $Z$ scale functions for right-continuous (upwards skip-free) discrete-time discrete-space random walks, along the lines of the analogue theory for spectrally negative L\'evy processes. Notably, we…

Probability · Mathematics 2018-04-17 Florin Avram , Matija Vidmar

The celebrated L\'evy--Khintchine theorem is a fundamental limiting law that describes the growth rate of the denominators of the convergents in the continued fraction expansion of a Lebesgue-typical real number. In a recent breakthrough,…

Number Theory · Mathematics 2025-08-04 Gaurav Aggarwal , Anish Ghosh

We consider the multi-refraction strategies in two equivalent versions of the optimal dividend problem in the dual (spectrally positive L\'evy) model. The first problem is a variant of the bail-out case where both dividend payments and…

Probability · Mathematics 2018-03-19 Irmina Czarna , José Luis Pérez , Kazutoshi Yamazaki

We analyse the behaviour of the implied volatility smile for options close to expiry in the exponential L\'evy class of asset price models with jumps. We introduce a new renormalisation of the strike variable with the property that the…

Pricing of Securities · Quantitative Finance 2012-07-17 Aleksandar Mijatović , Peter Tankov

In economics, risk aversion is modeled via a concave Bernoulli utility within the expected-utility paradigm. We propose a simple test of expected utility and concavity. We find little support for either: only 30 percent of the choices are…

General Economics · Economics 2023-08-07 Jacob K Goeree , Bernardo Garcia-Pola

In the paper [Hainaut, D. and Colwell, D.B., {\rm A structural model for credit risk with switching processes and synchronous jumps}, The European Journal of Finance 22(11) (2016): 1040-1062], the authors exploit a synchronous-jump…

Numerical Analysis · Mathematics 2021-12-14 Davood Damircheli , Mohsen Razzaghi , Seyed-Mohammad-Mahdi Kazemi , Ali Foroush Bastani

In recent work N. Hitchin introduced the concept of "generalised geometry". The key feature of generalised structures is that that they can be acted on by both diffeomorphisms and 2-forms, the so-called $B$-fields. In this lecture, we give…

Differential Geometry · Mathematics 2010-12-30 Frederik Witt

For a spectrally one-sided L\'{e}vy process, we extend various two-sided exit identities to the situation when the process is only observed at arrival epochs of an independent Poisson process. In addition, we consider exit problems of this…

Probability · Mathematics 2016-03-18 Hansjörg Albrecher , Jevgenijs Ivanovs , Xiaowen Zhou

The Generalized Extreme Value (GEV) distribution plays a critical role in risk assessment across various domains, such as hydrology, climate science, and finance. In this study, we investigate its application in analyzing intraday trading…

Applications · Statistics 2024-12-10 Sen Lin , Ao Kong , Robert Azencott

In this paper we consider two problems on optimal implementation delay of taxation with trade-off for spectrally negative L\'{e}vy insurance risk processes. In the first case, we assume that an insurance company starts to pay tax when its…

General Finance · Quantitative Finance 2019-10-21 Wenyuan Wang , Xueyuan Wu , Cheng Chi

We consider a generalization of the classical risk model when the premium intensity depends on the current surplus of an insurance company. All surplus is invested in the risky asset, the price of which follows a geometric Brownian motion.…

Probability · Mathematics 2014-03-28 Yuliya Mishura , Mykola Perestyuk , Olena Ragulina

The classical Lebedev index transform (1967), involving squares and products of the Legendre functions is generalized on the associated Legendre functions of an arbitrary order. Mapping properties are investigated in the Lebesgue spaces.…

Classical Analysis and ODEs · Mathematics 2017-01-16 Semyon Yakubovich

Kolmogorovs axiomatic framework is the best-known approach to describing probabilities and, due to its use of the Lebesgue integral, leads to remarkably strong continuity properties. However, it relies on the specification of a probability…

Probability · Mathematics 2018-06-11 Natan T'Joens , Gert de Cooman , Jasper De Bock
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