Discrete-time Asset Pricing Models in Applied Stochastic Finance (ePub)
(Sprache: Englisch)
Stochastic finance and financial engineering have been rapidly
expanding fields of science over the past four decades, mainly due
to the success of sophisticated quantitative methodologies in
helping professionals manage financial risks. In recent years,...
expanding fields of science over the past four decades, mainly due
to the success of sophisticated quantitative methodologies in
helping professionals manage financial risks. In recent years,...
sofort als Download lieferbar
eBook (ePub)
Fr. 160.00
inkl. MwSt.
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Discrete-time Asset Pricing Models in Applied Stochastic Finance (ePub)“
Stochastic finance and financial engineering have been rapidly
expanding fields of science over the past four decades, mainly due
to the success of sophisticated quantitative methodologies in
helping professionals manage financial risks. In recent years, we
have witnessed a tremendous acceleration in research efforts aimed
at better comprehending, modeling and hedging this kind of
risk.
These two volumes aim to provide a foundation course on applied
stochastic finance. They are designed for three groups of readers:
firstly, students of various backgrounds seeking a core knowledge
on the subject of stochastic finance; secondly financial analysts
and practitioners in the investment, banking and insurance
industries; and finally other professionals who are interested in
learning advanced mathematical and stochastic methods, which are
basic knowledge in many areas, through finance.
Volume 1 starts with the introduction of the basic financial
instruments and the fundamental principles of financial modeling
and arbitrage valuation of derivatives. Next, we use the
discrete-time binomial model to introduce all relevant concepts.
The mathematical simplicity of the binomial model also provides us
with the opportunity to introduce and discuss in depth concepts
such as conditional expectations and martingales in discrete time.
However, we do not expand beyond the needs of the stochastic
finance framework. Numerous examples, each highlighted and isolated
from the text for easy reference and identification, are
included.
The book concludes with the use of the binomial model to
introduce interest rate models and the use of the Markov chain
model to introduce credit risk. This volume is designed in such a
way that, among other uses, makes it useful as an undergraduate
course.
expanding fields of science over the past four decades, mainly due
to the success of sophisticated quantitative methodologies in
helping professionals manage financial risks. In recent years, we
have witnessed a tremendous acceleration in research efforts aimed
at better comprehending, modeling and hedging this kind of
risk.
These two volumes aim to provide a foundation course on applied
stochastic finance. They are designed for three groups of readers:
firstly, students of various backgrounds seeking a core knowledge
on the subject of stochastic finance; secondly financial analysts
and practitioners in the investment, banking and insurance
industries; and finally other professionals who are interested in
learning advanced mathematical and stochastic methods, which are
basic knowledge in many areas, through finance.
Volume 1 starts with the introduction of the basic financial
instruments and the fundamental principles of financial modeling
and arbitrage valuation of derivatives. Next, we use the
discrete-time binomial model to introduce all relevant concepts.
The mathematical simplicity of the binomial model also provides us
with the opportunity to introduce and discuss in depth concepts
such as conditional expectations and martingales in discrete time.
However, we do not expand beyond the needs of the stochastic
finance framework. Numerous examples, each highlighted and isolated
from the text for easy reference and identification, are
included.
The book concludes with the use of the binomial model to
introduce interest rate models and the use of the Markov chain
model to introduce credit risk. This volume is designed in such a
way that, among other uses, makes it useful as an undergraduate
course.
Autoren-Porträt von P. C. G. Vassiliou
P.C.G. Vassiliou is Professor at the Mathematics Department of Aristotle University of Thessaloniki, Greece. For the last two years he has been a Visiting Professor at University College London, Department of Statistical Sciences, where the current book was written. He is well known in the area of Stochastic Mathematics and Applied Probability in which he has published more than 50 papers in well known journals.
Bibliographische Angaben
- Autor: P. C. G. Vassiliou
- 2013, 1. Auflage, 416 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118618661
- ISBN-13: 9781118618660
- Erscheinungsdatum: 01.03.2013
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Grösse: 7.31 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Discrete-time Asset Pricing Models in Applied Stochastic Finance"
0 Gebrauchte Artikel zu „Discrete-time Asset Pricing Models in Applied Stochastic Finance“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Discrete-time Asset Pricing Models in Applied Stochastic Finance".
Kommentar verfassen