Financial statistics and mathematical finance: methods, models and applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Chichester, West Sussex
Wiley
2012
|
| Ausgabe: | First published |
| Schlagworte: | |
| Online-Zugang: | TUM01 Volltext |
| Beschreibung: | 1 Online-Ressource (xiv, 415 Seiten) |
| ISBN: | 0470710586 1118316444 1118316568 1118316584 9781118316443 9781118316566 9781118316580 |
Internformat
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| 245 | 1 | 0 | |a Financial statistics and mathematical finance |b methods, models and applications |c Ansgar Steland |
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| 505 | 8 | |a Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of statistical methods in finance and illustrates some of the many ways that statistical tools are used in financial applications. Financial Statistics and Mathematical Finance: Provides an introduction to the basics of financial statistics and mathematical finance; Explains the use and importance of statistical methods in econometrics and financial engineering; Illustrates the importance of derivatives and calculus to aid understanding in methods and results; Looks at advanced topics such as martingale theory, stochastic processes and stochastic integration; Features examples throughout to illustrate applications in mathematical and statistical finance; Is supported by an accompanying website featuring R code and data sets. Financial Statistics and Mathematical Finance introduces the financial methodology and the relevant mathematical tools in a style that is both mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, both graduate students and researchers in statistics, finance, econometrics and business administration will benefit from this book | |
| 505 | 8 | |a Includes bibliographical references and index | |
| 505 | 8 | |a Elementary financial calculus -- Arbitrage theory for the one-period model -- Financial models in discrete time -- Arbitrage theory for the multi-period model -- Brownian motion and related processes in continuous time -- Itō calculus -- The Black-Scholes model -- Limit theory for discrete-time processes -- Special Topics -- Appendix A -- Appendix B: Weak convergence and central limit theorems | |
| 650 | 4 | |a Business mathematics | |
| 650 | 4 | |a Calculus | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Econometrics |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Finance |2 bisacsh | |
| 650 | 7 | |a Business mathematics |2 fast | |
| 650 | 7 | |a Calculus |2 fast | |
| 650 | 4 | |a Wirtschaft | |
| 650 | 4 | |a Business mathematics | |
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Datensatz im Suchindex
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| contents | Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of statistical methods in finance and illustrates some of the many ways that statistical tools are used in financial applications. Financial Statistics and Mathematical Finance: Provides an introduction to the basics of financial statistics and mathematical finance; Explains the use and importance of statistical methods in econometrics and financial engineering; Illustrates the importance of derivatives and calculus to aid understanding in methods and results; Looks at advanced topics such as martingale theory, stochastic processes and stochastic integration; Features examples throughout to illustrate applications in mathematical and statistical finance; Is supported by an accompanying website featuring R code and data sets. Financial Statistics and Mathematical Finance introduces the financial methodology and the relevant mathematical tools in a style that is both mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, both graduate students and researchers in statistics, finance, econometrics and business administration will benefit from this book Includes bibliographical references and index Elementary financial calculus -- Arbitrage theory for the one-period model -- Financial models in discrete time -- Arbitrage theory for the multi-period model -- Brownian motion and related processes in continuous time -- Itō calculus -- The Black-Scholes model -- Limit theory for discrete-time processes -- Special Topics -- Appendix A -- Appendix B: Weak convergence and central limit theorems |
| ctrlnum | (OCoLC)778828925 (DE-599)BVBBV042741765 |
| dewey-full | 332.01/5195 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 332 - Financial economics |
| dewey-raw | 332.01/5195 |
| dewey-search | 332.01/5195 |
| dewey-sort | 3332.01 45195 |
| dewey-tens | 330 - Economics |
| discipline | Mathematik Wirtschaftswissenschaften |
| edition | First published |
| format | Electronic eBook |
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| spelling | Steland, Ansgar 1967- Verfasser (DE-588)11575816X aut Financial statistics and mathematical finance methods, models and applications Ansgar Steland First published Chichester, West Sussex Wiley 2012 1 Online-Ressource (xiv, 415 Seiten) txt rdacontent c rdamedia cr rdacarrier Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of statistical methods in finance and illustrates some of the many ways that statistical tools are used in financial applications. Financial Statistics and Mathematical Finance: Provides an introduction to the basics of financial statistics and mathematical finance; Explains the use and importance of statistical methods in econometrics and financial engineering; Illustrates the importance of derivatives and calculus to aid understanding in methods and results; Looks at advanced topics such as martingale theory, stochastic processes and stochastic integration; Features examples throughout to illustrate applications in mathematical and statistical finance; Is supported by an accompanying website featuring R code and data sets. Financial Statistics and Mathematical Finance introduces the financial methodology and the relevant mathematical tools in a style that is both mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, both graduate students and researchers in statistics, finance, econometrics and business administration will benefit from this book Includes bibliographical references and index Elementary financial calculus -- Arbitrage theory for the one-period model -- Financial models in discrete time -- Arbitrage theory for the multi-period model -- Brownian motion and related processes in continuous time -- Itō calculus -- The Black-Scholes model -- Limit theory for discrete-time processes -- Special Topics -- Appendix A -- Appendix B: Weak convergence and central limit theorems Business mathematics Calculus BUSINESS & ECONOMICS / Econometrics bisacsh BUSINESS & ECONOMICS / Finance bisacsh Business mathematics fast Calculus fast Wirtschaft Finanzmathematik (DE-588)4017195-4 gnd rswk-swf Finanzstatistik (DE-588)4249667-6 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Finanzmathematik (DE-588)4017195-4 s Finanzstatistik (DE-588)4249667-6 s 2\p DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 978-0-470-71058-6 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=462880 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Steland, Ansgar 1967- Financial statistics and mathematical finance methods, models and applications Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of statistical methods in finance and illustrates some of the many ways that statistical tools are used in financial applications. Financial Statistics and Mathematical Finance: Provides an introduction to the basics of financial statistics and mathematical finance; Explains the use and importance of statistical methods in econometrics and financial engineering; Illustrates the importance of derivatives and calculus to aid understanding in methods and results; Looks at advanced topics such as martingale theory, stochastic processes and stochastic integration; Features examples throughout to illustrate applications in mathematical and statistical finance; Is supported by an accompanying website featuring R code and data sets. Financial Statistics and Mathematical Finance introduces the financial methodology and the relevant mathematical tools in a style that is both mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, both graduate students and researchers in statistics, finance, econometrics and business administration will benefit from this book Includes bibliographical references and index Elementary financial calculus -- Arbitrage theory for the one-period model -- Financial models in discrete time -- Arbitrage theory for the multi-period model -- Brownian motion and related processes in continuous time -- Itō calculus -- The Black-Scholes model -- Limit theory for discrete-time processes -- Special Topics -- Appendix A -- Appendix B: Weak convergence and central limit theorems Business mathematics Calculus BUSINESS & ECONOMICS / Econometrics bisacsh BUSINESS & ECONOMICS / Finance bisacsh Business mathematics fast Calculus fast Wirtschaft Finanzmathematik (DE-588)4017195-4 gnd Finanzstatistik (DE-588)4249667-6 gnd |
| subject_GND | (DE-588)4017195-4 (DE-588)4249667-6 (DE-588)4123623-3 |
| title | Financial statistics and mathematical finance methods, models and applications |
| title_auth | Financial statistics and mathematical finance methods, models and applications |
| title_exact_search | Financial statistics and mathematical finance methods, models and applications |
| title_full | Financial statistics and mathematical finance methods, models and applications Ansgar Steland |
| title_fullStr | Financial statistics and mathematical finance methods, models and applications Ansgar Steland |
| title_full_unstemmed | Financial statistics and mathematical finance methods, models and applications Ansgar Steland |
| title_short | Financial statistics and mathematical finance |
| title_sort | financial statistics and mathematical finance methods models and applications |
| title_sub | methods, models and applications |
| topic | Business mathematics Calculus BUSINESS & ECONOMICS / Econometrics bisacsh BUSINESS & ECONOMICS / Finance bisacsh Business mathematics fast Calculus fast Wirtschaft Finanzmathematik (DE-588)4017195-4 gnd Finanzstatistik (DE-588)4249667-6 gnd |
| topic_facet | Business mathematics Calculus BUSINESS & ECONOMICS / Econometrics BUSINESS & ECONOMICS / Finance Wirtschaft Finanzmathematik Finanzstatistik Lehrbuch |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=462880 |
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