Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Image from Google Jackets

Stochastic processes and calculus : an elementary introduction with application / Uwe Hassler.

By: Material type: TextTextSeries: Springer texts in business and economicsPublication details: Cham : Springer, 2016.Description: xviii, 391 pages : illustrations ; 24 cmISBN:
  • 9783319234274
Subject(s): DDC classification:
  • 330.0151 23 H355
Contents:
1. Introduction.- Part I Time Series Modeling.- 2. Basic Concepts from Probability Theory.- 3. Autoregressive Moving Average Processes (ARMA).- 4. Spectra of Stationary Processes.- 5. Long Memory and Fractional Integration.- 6. Processes with Autoregressive Conditional Heteroskedasticity (ARCH).- Part II Stochastic Integrals.- 7. Wiener Processes (WP).- 8. Riemann Integrals.- 9. Stieltjes Integrals.- 10. Ito Integrals.- 11. Ito's Lemma.- Part III Applications.- 12. Stochastic Differential Equations (SDE).- 13. Interest Rate Models.- 14. Asymptotics of Integrated Processes.- 15. Trends, Integration Tests and Nonsense Regressions.- 16. Cointegration Analysis.
Summary: This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and economics, more specifically mathematical finance and time series econometrics. Over the past decades stochastic calculus and processes have gained great importance, because they play a decisive role in the modeling of financial markets and as a basis for modern time series econometrics. Mathematical theory is applied to solve stochastic differential equations and to derive limiting results for statistical inference on nonstationary processes. This introduction is elementary and rigorous at the same time. On the one hand it gives a basic and illustrative presentation of the relevant topics without using many technical derivations. On the other hand many of the procedures are presented at a technically advanced level: for a thorough understanding, they are to be proven. In order to meet both requirements jointly, the present book is equipped with a lot of challenging problems at the end of each chapter as well as with the corresponding detailed solutions. Thus the virtual text - augmented with more than 60 basic examples and 40 illustrative figures - is rather easy to read while a part of the technical arguments is transferred to the exercise problems and their solutions.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 330.0151 H355 (Browse shelf(Opens below)) Available 137788
Total holds: 0

Includes bibliographical references and index.

1. Introduction.-
Part I Time Series Modeling.-
2. Basic Concepts from Probability Theory.-
3. Autoregressive Moving Average Processes (ARMA).-
4. Spectra of Stationary Processes.-
5. Long Memory and Fractional Integration.-
6. Processes with Autoregressive Conditional Heteroskedasticity (ARCH).-
Part II Stochastic Integrals.-
7. Wiener Processes (WP).-
8. Riemann Integrals.-
9. Stieltjes Integrals.-
10. Ito Integrals.-
11. Ito's Lemma.-
Part III Applications.-
12. Stochastic Differential Equations (SDE).-
13. Interest Rate Models.-
14. Asymptotics of Integrated Processes.-
15. Trends, Integration Tests and Nonsense Regressions.-
16. Cointegration Analysis.

This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and economics, more specifically mathematical finance and time series econometrics. Over the past decades stochastic calculus and processes have gained great importance, because they play a decisive role in the modeling of financial markets and as a basis for modern time series econometrics. Mathematical theory is applied to solve stochastic differential equations and to derive limiting results for statistical inference on nonstationary processes. This introduction is elementary and rigorous at the same time. On the one hand it gives a basic and illustrative presentation of the relevant topics without using many technical derivations. On the other hand many of the procedures are presented at a technically advanced level: for a thorough understanding, they are to be proven. In order to meet both requirements jointly, the present book is equipped with a lot of challenging problems at the end of each chapter as well as with the corresponding detailed solutions. Thus the virtual text - augmented with more than 60 basic examples and 40 illustrative figures - is rather easy to read while a part of the technical arguments is transferred to the exercise problems and their solutions.

There are no comments on this title.

to post a comment.
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in