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Penanda Bagikan

Electronic Resource

Backward stochastic differential equations with jumps and their actuarial and financial applications : BSDEs with jumps

Backward stochastic differential equations with jumps can be used to solve problems in both finance and insurance.
Part I of this book presents the theory of BSDEs with Lipschitz generators driven by a Brownian motion and a compensated random measure, with an emphasis on those generated by step processes and Lévy processes. It discusses key results and techniques (including numerical algorithms) for BSDEs with jumps and studies filtration-consistent nonlinear expectations and g-expectations. Part I also focuses on the mathematical tools and proofs which are crucial for understanding the theory.
Part II investigates actuarial and financial applications of BSDEs with jumps. It considers a general financial and insurance model and deals with pricing and hedging of insurance equity-linked claims and asset-liability management problems. It additionally investigates perfect hedging, superhedging, quadratic optimization, utility maximization, indifference pricing, ambiguity risk minimization, no-good-deal pricing and dynamic risk measures. Part III presents some other useful classes of BSDEs and their applications.
This book will make BSDEs more accessible to those who are interested in applying these equations to actuarial and financial problems. It will be beneficial to students and researchers in mathematical finance, risk measures, portfolio optimization as well as actuarial practitioners.

Ketersediaan
#
Perpustakaan Pusat E449
E449
Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
E449
Penerbit
London : Springer.,
Deskripsi Fisik
x, 288 hlm.
Bahasa
English
ISBN/ISSN
9781447153313
Klasifikasi
NONE
Tipe Isi
text
Tipe Media
computer
Tipe Pembawa
online resource
Edisi
1
Subjek
Probabilitas dan Matematika Terapan
Keuangan : Derivatif
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Versi lain/terkait

Tidak tersedia versi lain

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