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Publications (6 of 6) Show all publications
Nohrouzian, H., Malyarenko, A. & Ni, Y. (2024). Constructing Trinominal Models Based on Cubature Method on Wiener Space: Applications to Pricing Financial Derivatives. In: Yiannis Dimotikalis, Christos H. Skiadas (Ed.), Data Analysis and Related Applications 3: Theory and Practice – New Approaches (pp. 109-130). John Wiley & Sons
Open this publication in new window or tab >>Constructing Trinominal Models Based on Cubature Method on Wiener Space: Applications to Pricing Financial Derivatives
2024 (English)In: Data Analysis and Related Applications 3: Theory and Practice – New Approaches / [ed] Yiannis Dimotikalis, Christos H. Skiadas, John Wiley & Sons, 2024, p. 109-130Chapter in book (Refereed)
Abstract [en]

This chapter deals with an extension to the developed novel cubature methods of degrees 5 on Wiener space. It examines cubature formulae that are exact for all multiple Stratonovich integrals up to dimension equal to the degree. Cubature method reduces solving a stochastic differential equation to solving a finite set of ordinary differential equations. The chapter aims to compare the numerical solutions with the Black's and Black–Scholes models' analytical solutions. It examines the convergence of the sequences of constructed trinomial model to a geometric Brownian motion. The chapter also examines the conditions that make the probability measure in our trinomial model a martingale measure, i.e. risk-neutral probability measure. The constructed model has practical usage in pricing American options and American-style derivatives. The chapter emphasizes that the constructed trinomial tree has practical usage and applications in pricing path-dependent and American-style options.

Place, publisher, year, edition, pages
John Wiley & Sons, 2024
Series
Big Data, Artificial Intelligence and Data Analysis SET
Keywords
Black–Scholes models, Cubature method, pricing American options, risk-neutral probability measure, trinomial model, Wiener space
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:liu:diva-203078 (URN)10.1002/9781394284061.ch9 (DOI)9781786309624 (ISBN)9781394284054 (ISBN)
Available from: 2024-04-29 Created: 2024-04-29 Last updated: 2024-10-28Bibliographically approved
Nohrouzian, H. & Malyarenko, A. (2023). Testing Cubature Formulae on Wiener Space vs Explicit Pricing Formulae. In: Anatoliy Malyarenko, Ying Ni, Milica Rančić, Sergei Silvestrov (Ed.), Stochastic Processes, Statistical Methods, and Engineering Mathematics: (pp. 223-248). Springer Nature
Open this publication in new window or tab >>Testing Cubature Formulae on Wiener Space vs Explicit Pricing Formulae
2023 (English)In: Stochastic Processes, Statistical Methods, and Engineering Mathematics / [ed] Anatoliy Malyarenko, Ying Ni, Milica Rančić, Sergei Silvestrov, Springer Nature, 2023, p. 223-248Chapter in book (Refereed)
Abstract [en]

Cubature is an effective way to calculate integrals in a finite dimensional space. Extending the idea of cubature to the infinite-dimensional Wiener space would have practical usages in pricing financial instruments. In this paper, we calculate and use cubature formulae of degree 5 and 7 on Wiener space to price European options in the classical Black–Scholes model. This problem has a closed form solution and thus we will compare the obtained numerical results with the above solution. In this procedure, we study some characteristics of the obtained cubature formulae and discuss some of their applications to pricing American options.

Place, publisher, year, edition, pages
Springer Nature, 2023
Series
Springer Proceedings in Mathematics & Statistics, ISSN 2194-1009, E-ISSN 2194-1017 ; 408
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:liu:diva-203006 (URN)10.1007/978-3-031-17820-7_12 (DOI)2-s2.0-85171598661 (Scopus ID)9783031178191 (ISBN)9783031178207 (ISBN)
Available from: 2024-04-24 Created: 2024-04-24 Last updated: 2024-10-28Bibliographically approved
Nohrouzian, H., Malyarenko, A. & Ni, Y. (2022). Pricing Financial Derivatives in the Hull-White Model Using Cubature Methods on Wiener Space. In: Data Analysis and Related Applications 1: Computational, Algorithmic and Applied Economic Data Analysis: (pp. 333-357). John Wiley & Sons
Open this publication in new window or tab >>Pricing Financial Derivatives in the Hull-White Model Using Cubature Methods on Wiener Space
2022 (English)In: Data Analysis and Related Applications 1: Computational, Algorithmic and Applied Economic Data Analysis, John Wiley & Sons, 2022, p. 333-357Chapter in book (Other academic)
Abstract [en]

In our previous studies, we developed novel cubature methods of degree 5 on the Wiener space in the sense that the cubature formula is exact for all multiple Stratonovich integrals up to dimension equal to the degree. In this paper, we apply the above methods to the modeling of fixed-income markets via affine models. Then, we apply the obtained results to price interest rate derivatives in the Hull-White one-factor model.

Place, publisher, year, edition, pages
John Wiley & Sons, 2022
Series
Innovation, Entrepreneurship and Management Series. Big Data, Artificial Intelligence and Data Analysis Set ; 9
Keywords
Stochastic partial differenHull-White model, cubature method, Stratonovich integral, Wiener space, fixed-income market
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:liu:diva-203005 (URN)10.1002/9781394165513.ch25 (DOI)2-s2.0-85152663552 (Scopus ID)9781786307712 (ISBN)9781394165513 (ISBN)
Available from: 2024-04-24 Created: 2024-04-24 Last updated: 2024-10-28Bibliographically approved
Nohrouzian, H., Ni, Y. & Malyarenko, A. (2021). An Arbitrage-Free Large Market Model for Forward Spread Curves. In: Yannis Dimotikalis, Alex Karagrigoriou, Christina Parpoula, Christos H. Skiadas (Ed.), Applied Modeling Techniques and Data Analysis 2: Financial, Demographic, Stochastic and Statistical Models and Methods: (pp. 75-89). Hoboken, NJ, USA: John Wiley & Sons
Open this publication in new window or tab >>An Arbitrage-Free Large Market Model for Forward Spread Curves
2021 (English)In: Applied Modeling Techniques and Data Analysis 2: Financial, Demographic, Stochastic and Statistical Models and Methods / [ed] Yannis Dimotikalis, Alex Karagrigoriou, Christina Parpoula, Christos H. Skiadas, Hoboken, NJ, USA: John Wiley & Sons, 2021, p. 75-89Chapter in book (Refereed)
Abstract [en]

Before the financial crisis started in 2007, the forward rate agreement contracts could be perfectly replicated by overnight indexed swap zero coupon bonds. After the crisis, the simply compounded risk-free overnight indexed swap forward rate became less than the forward rate agreement rate. Using an approach proposed by Cuchiero, Klein, and Teichmann, we construct an arbitrage-free market model, where the forward spread curves for a given finite tenor structure are described as a mild solution to a boundary value problem for a system of infinite-dimensional stochastic differential equations. The constructed financial market is large: it contains infinitely many overnight indexed swap zero coupon bonds and forward rate agreement contracts with all possible maturities. We also investigate the necessary assumptions and conditions which guarantee existence, uniqueness and non-negativity of solutions to the obtained boundary value problem. 

Place, publisher, year, edition, pages
Hoboken, NJ, USA: John Wiley & Sons, 2021
Series
Big Data, Artificial Intelligence and Data Analysis SET Coordinated by Jacques Janssen ; 8
Keywords
Forward Rate Agreement, Overnight Index Swap, Large Market, Mild Solution, Wiener Space, Fundamental Theorem of Asset Pricing for Large Market, Existence, Uniqueness, Non-Negativity
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:liu:diva-203004 (URN)10.1002/9781119821724.ch6 (DOI)2-s2.0-85121387832 (Scopus ID)9781786306746 (ISBN)9781119821724 (ISBN)
Available from: 2024-04-24 Created: 2024-04-24 Last updated: 2024-10-28Bibliographically approved
Nohrouzian, H. & Malyarenko, A. (2021). Evolution of forward curves in the Heath–Jarrow–Morton framework by cubature method on Wiener space. Communications in Statistics: Case Studies, Data Analysis and Applications, 7(4), 717-735
Open this publication in new window or tab >>Evolution of forward curves in the Heath–Jarrow–Morton framework by cubature method on Wiener space
2021 (English)In: Communications in Statistics: Case Studies, Data Analysis and Applications, E-ISSN 2373-7484, Vol. 7, no 4, p. 717-735Article in journal (Refereed) Published
Abstract [en]

The multi-curve extension of the Heath–Jarrow–Morton framework is a popular method for pricing interest rate derivatives and overnight indexed swaps in the post-crisis financial market. That is, the set of forward curves is represented as a solution to an initial boundary value problem for an infinite-dimensional stochastic differential equation. In this paper, we review the post-crisis market proxies for interest rate models. Then, we consider a simple model that belongs to the above framework. This model is driven by a single Wiener process, and we discretize the space of trajectories of its driver by cubature method on Wiener space. After that, we discuss possible methods for numerical solution of the resulting deterministic boundary value problem in the finite-dimensional case. Finally, we compare the obtained numerical solutions of cubature method with the classical Monte Carlo simulation.

Place, publisher, year, edition, pages
Taylor & Francis, 2021
Keywords
Heath–Jarrow–Morton framework, forward curves, interest rate derivatives, cubature method, Monte Carlo simulation
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:liu:diva-203001 (URN)10.1080/23737484.2021.2010622 (DOI)
Available from: 2024-04-24 Created: 2024-04-24 Last updated: 2024-10-28Bibliographically approved
Nohrouzian, H., Malyarenko, A. & Silvestrov, S. (2020). An Algebraic Method for Pricing Financial Instruments on Post-crisis Market. In: Sergei Silvestrov, Anatoliy Malyarenko, Milica Rančić (Ed.), Algebraic Structures and Applications: SPAS 2017, Västerås and Stockholm, Sweden, October 4-6 (pp. 839-856). Springer
Open this publication in new window or tab >>An Algebraic Method for Pricing Financial Instruments on Post-crisis Market
2020 (English)In: Algebraic Structures and Applications: SPAS 2017, Västerås and Stockholm, Sweden, October 4-6 / [ed] Sergei Silvestrov, Anatoliy Malyarenko, Milica Rančić, Springer, 2020, p. 839-856Chapter in book (Other academic)
Abstract [en]

After the financial crisis of 2007, significant spreads between interbank rates associated to different maturities have emerged. To model them, we apply the Heath--Jarrow--Morton framework. The price of a financial instrument can then be approximated using cubature formulae on Wiener space in the infinite-dimensional setting. We present a short introduction to the area and illustrate the methods by examples.

Place, publisher, year, edition, pages
Springer, 2020
Series
Springer Proceedings in Mathematics and Statistics, ISSN 2194-1009, E-ISSN 2194-1017 ; 317
Keywords
Stochastic partial differential equation, cubature formula on Wiener space, post-crisis market, free Lie algebra
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:liu:diva-203003 (URN)10.1007/978-3-030-41850-2_35 (DOI)2-s2.0-85087529677 (Scopus ID)9783030418496 (ISBN)9783030418502 (ISBN)
Available from: 2024-04-24 Created: 2024-04-24 Last updated: 2024-10-28Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-9303-1196

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