𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Mathematical Finance: Deterministic and Stochastic Models

✍ Scribed by Jacques Janssen, Raimondo Manca, Ernesto Volpe di Prignano(auth.)


Publisher
Wiley-ISTE
Year
2009
Tongue
English
Leaves
856
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


This book provides a detailed study of Financial Mathematics.Β  In addition to the extraordinary depth the book provides, it offers a study of the axiomatic approach that is ideally suited for analyzing financial problems. This book is addressed to MBA's, Financial Engineers, Applied Mathematicians, Banks, Insurance Companies, and Students of Business School, of Economics, of Applied Mathematics, of Financial Engineering, Banks, and more.Content:
Chapter 1 Introductory Elements to Financial Mathematics (pages 1–12):
Chapter 2 Theory of Financial Laws (pages 13–40):
Chapter 3 Uniform Regimes in Financial Practice (pages 41–89):
Chapter 4 Financial Operations and their Evaluation: Decisional Criteria (pages 91–145):
Chapter 5 Annuities?Certain and their Value at Fixed Rate (pages 147–210):
Chapter 6 Loan Amortization and Funding Methods (pages 211–287):
Chapter 7 Exchanges and Prices on the Financial Market (pages 289–329):
Chapter 8 Annuities, Amortizations and Funding in the Case of Term Structures (pages 331–361):
Chapter 9 Time and Variability Indicators, Classical Immunization (pages 363–408):
Chapter 10 Basic Probabilistic Tools for Finance (pages 409–455):
Chapter 11 Markov Chains (pages 457–479):
Chapter 12 Semi?Markov Processes (pages 481–515):
Chapter 13 Stochastic or Ito Calculus (pages 517–552):
Chapter 14 Option Theory (pages 553–606):
Chapter 15 Markov and Semi?Markov Option Models (pages 607–640):
Chapter 16 Interest Rate Stochastic Models β€” Application to the Bond Pricing Problem (pages 641–685):
Chapter 17 Portfolio Theory (pages 687–701):
Chapter 18 Value at Risk (VaR) Methods and Simulation (pages 703–742):
Chapter 19 Credit Risk or Default Risk (pages 743–789):
Chapter 20 Markov and Semi?Markov Reward Processes and Stochastic Annuities (pages 791–830):


πŸ“œ SIMILAR VOLUMES


Methods and Models in Mathematical Biolo
✍ Johannes MΓΌller, Christina Kuttler (auth.) πŸ“‚ Library πŸ“… 2015 πŸ› Springer-Verlag Berlin Heidelberg 🌐 English

<p><p>This book developed from classes in mathematical biology taught by the authors over several years at the Technische UniversitΓ€t MΓΌnchen. The main themes are modeling principles, mathematical principles for the analysis of these models and model-based analysis of data. The key topics of modern

Dynamic Optimization: Deterministic and
✍ Karl Hinderer, Ulrich Rieder, Michael Stieglitz (auth.) πŸ“‚ Library πŸ“… 2016 πŸ› Springer International Publishing 🌐 English

<p>This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focu

Dynamic Optimization: Deterministic and
✍ Karl Hinderer πŸ“‚ Library πŸ“… 2017 πŸ› Springer 🌐 English

<div><div>This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the bo