Contemporary Quantitative Finance (eBook)
X, 423 Seiten
Springer Berlin (Verlag)
978-3-642-03479-4 (ISBN)
Carl Chiarella is currently Professor of Quantitative Finance at the University of Technology, Sydney. He holds doctorates in both applied mathematics and economics. He is the author of over 150 research articles in international journals and edited volumes and the author/coauthor of 5 books. Carl is a Co-Editor of the Journal of Economic Dynamics and Control and Associate Editor of Quantitative Finance, Studies in Nonlinear Dynamics and Econometrics, Computational Economics and European Journal of Finance.
Alexander Novikov is Professor of Mathematics (Chair in Probability) at the Department of Mathematical Sciences, the University of Technology, Sydney. He received the Doctor of Science degree in mathematics from Steklov Mathematical Institute, Moscow. He has edited several proceedings and published more than 80 research papers in different areas of statistics of random processes, sequential analysis, random fields and mathematical finance. Alexander has been member of the Editorial Board of Statistics and Probability Letters, Bernoulli and Methods of Mathematical Statistics.
Carl Chiarella is currently Professor of Quantitative Finance at the University of Technology, Sydney. He holds doctorates in both applied mathematics and economics. He is the author of over 150 research articles in international journals and edited volumes and the author/coauthor of 5 books. Carl is a Co-Editor of the Journal of Economic Dynamics and Control and Associate Editor of Quantitative Finance, Studies in Nonlinear Dynamics and Econometrics, Computational Economics and European Journal of Finance. Alexander Novikov is Professor of Mathematics (Chair in Probability) at the Department of Mathematical Sciences, the University of Technology, Sydney. He received the Doctor of Science degree in mathematics from Steklov Mathematical Institute, Moscow. He has edited several proceedings and published more than 80 research papers in different areas of statistics of random processes, sequential analysis, random fields and mathematical finance. Alexander has been member of the Editorial Board of Statistics and Probability Letters, Bernoulli and Methods of Mathematical Statistics.
Probabilistic Aspects of Arbitrage.- Finitely Additive Probabilities and the Fundamental Theorem of Asset Pricing.- M6—On Minimal Market Models and Minimal Martingale Measures.- The Economic Plausibility of Strict Local Martingales in Financial Modelling.- A Remarkable ?-finite Measure Associated with Last Passage Times and Penalisation Problems.- Pricing Without Equivalent Martingale Measures Under Complete and Incomplete Observation.- Existence and Non-uniqueness of Solutions for BSDE.- Comparison Theorems for Finite State Backward Stochastic Differential Equations.- Results on Numerics for FBSDE with Drivers of Quadratic Growth.- Variance Swap Portfolio Theory.- Stochastic Partial Differential Equations and Portfolio Choice.- Issuers’ Commitments Would Add More Value than Any Rating Scheme Could Ever Do.- Pricing and Hedging of CDOs: A Top Down Approach.- Constructing Random Times with Given Survival Processes and Applications to Valuation of Credit Derivatives.- Representation of American Option Prices Under Heston Stochastic Volatility Dynamics Using Integral Transforms.- Buy Low and Sell High.- Continuity Theorems in Boundary Crossing Problems for Diffusion Processes.- Binomial Models for Interest Rates.- Lognormal Forward Market Model (LFM) Volatility Function Approximation.- Maximum Likelihood Estimation for Integrated Diffusion Processes.
Erscheint lt. Verlag | 1.7.2010 |
---|---|
Zusatzinfo | X, 423 p. |
Verlagsort | Berlin |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
Technik | |
Wirtschaft ► Allgemeines / Lexika | |
Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung | |
Schlagworte | 49Kxx,49Nxx,60G35, 62M05, 60G70,65Mxx • Arbitrage • credit risk • filtering • interest rate models • measure • Modeling • Quantitative Finance • Sage • Stochastic differential equations • Stochastic Optimal Control • Stochastic Processes |
ISBN-10 | 3-642-03479-9 / 3642034799 |
ISBN-13 | 978-3-642-03479-4 / 9783642034794 |
Haben Sie eine Frage zum Produkt? |
Größe: 7,1 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich