Mathematics and statistics for financial risk management:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hoboken, N.J.
Wiley
2012
|
Schriftenreihe: | Wiley finance series
|
Schlagworte: | |
Beschreibung: | Includes bibliographical references and index "In chapter 1, there is a review three math topics -- logarithms, combinatorics, and geometric series - and one financial topic, discount factors. Emphasis will be given to the specific aspects of these topics that are most relevant to risk management. In chapter 2, the author explores the application of probabilities to risk management. There is also an introduction to basic terminology and notations that will be used throughout the rest of the book. In chapter 3, Miller teaches how to describe a collection of data in precise statistical terms. Many of the concepts will be familiar, but the notation and terminology might be new. This notation and terminology will be used throughout the rest of the book. In chapter 4, some of the most common probability distributions will be pointed out, followed by a chapter on two closely related topics, confidence intervals and hypothesis testing. For risk management, these are possibly the two most important concepts in statistics. Chapter 6 provides a basic introduction to linear regression models. At the end of the chapter, Miller explores two risk management applications, factor analysis and stress testing. The final chapter is on a class of estimators, which has become very popular in finance and risk management for analyzing historical data. These models hint at the limitations of the type of analysis that we have been explores in previous chapters. This book has a lot of charts and equations"-- |
Beschreibung: | 1 Online-Ressource (xi, 281 p.) |
ISBN: | 9781118170625 9781118227770 |
Internformat
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100 | 1 | |a Miller, Michael B. |e Verfasser |4 aut | |
245 | 1 | 0 | |a Mathematics and statistics for financial risk management |c Michael B. Miller |
264 | 1 | |a Hoboken, N.J. |b Wiley |c 2012 | |
300 | |a 1 Online-Ressource (xi, 281 p.) | ||
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490 | 0 | |a Wiley finance series | |
500 | |a Includes bibliographical references and index | ||
500 | |a "In chapter 1, there is a review three math topics -- logarithms, combinatorics, and geometric series - and one financial topic, discount factors. Emphasis will be given to the specific aspects of these topics that are most relevant to risk management. In chapter 2, the author explores the application of probabilities to risk management. There is also an introduction to basic terminology and notations that will be used throughout the rest of the book. In chapter 3, Miller teaches how to describe a collection of data in precise statistical terms. Many of the concepts will be familiar, but the notation and terminology might be new. This notation and terminology will be used throughout the rest of the book. In chapter 4, some of the most common probability distributions will be pointed out, followed by a chapter on two closely related topics, confidence intervals and hypothesis testing. For risk management, these are possibly the two most important concepts in statistics. Chapter 6 provides a basic introduction to linear regression models. At the end of the chapter, Miller explores two risk management applications, factor analysis and stress testing. The final chapter is on a class of estimators, which has become very popular in finance and risk management for analyzing historical data. These models hint at the limitations of the type of analysis that we have been explores in previous chapters. This book has a lot of charts and equations"-- | ||
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Datensatz im Suchindex
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---|---|
any_adam_object | |
author | Miller, Michael B. |
author_facet | Miller, Michael B. |
author_role | aut |
author_sort | Miller, Michael B. |
author_variant | m b m mb mbm |
building | Verbundindex |
bvnumber | BV040783374 |
collection | ZDB-38-EBR |
ctrlnum | (OCoLC)785777914 (DE-599)BVBBV040783374 |
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 | Wirtschaftswissenschaften |
format | Electronic eBook |
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id | DE-604.BV040783374 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T00:33:46Z |
institution | BVB |
isbn | 9781118170625 9781118227770 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025761624 |
oclc_num | 785777914 |
open_access_boolean | |
physical | 1 Online-Ressource (xi, 281 p.) |
psigel | ZDB-38-EBR |
publishDate | 2012 |
publishDateSearch | 2012 |
publishDateSort | 2012 |
publisher | Wiley |
record_format | marc |
series2 | Wiley finance series |
spelling | Miller, Michael B. Verfasser aut Mathematics and statistics for financial risk management Michael B. Miller Hoboken, N.J. Wiley 2012 1 Online-Ressource (xi, 281 p.) txt rdacontent c rdamedia cr rdacarrier Wiley finance series Includes bibliographical references and index "In chapter 1, there is a review three math topics -- logarithms, combinatorics, and geometric series - and one financial topic, discount factors. Emphasis will be given to the specific aspects of these topics that are most relevant to risk management. In chapter 2, the author explores the application of probabilities to risk management. There is also an introduction to basic terminology and notations that will be used throughout the rest of the book. In chapter 3, Miller teaches how to describe a collection of data in precise statistical terms. Many of the concepts will be familiar, but the notation and terminology might be new. This notation and terminology will be used throughout the rest of the book. In chapter 4, some of the most common probability distributions will be pointed out, followed by a chapter on two closely related topics, confidence intervals and hypothesis testing. For risk management, these are possibly the two most important concepts in statistics. Chapter 6 provides a basic introduction to linear regression models. At the end of the chapter, Miller explores two risk management applications, factor analysis and stress testing. The final chapter is on a class of estimators, which has become very popular in finance and risk management for analyzing historical data. These models hint at the limitations of the type of analysis that we have been explores in previous chapters. This book has a lot of charts and equations"-- Mathematisches Modell Risk management / Mathematical models Risk management / Statistical methods Risikomanagement (DE-588)4121590-4 gnd rswk-swf Finanzmathematik (DE-588)4017195-4 gnd rswk-swf Finanzmathematik (DE-588)4017195-4 s Risikomanagement (DE-588)4121590-4 s 1\p DE-604 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Miller, Michael B. Mathematics and statistics for financial risk management Mathematisches Modell Risk management / Mathematical models Risk management / Statistical methods Risikomanagement (DE-588)4121590-4 gnd Finanzmathematik (DE-588)4017195-4 gnd |
subject_GND | (DE-588)4121590-4 (DE-588)4017195-4 |
title | Mathematics and statistics for financial risk management |
title_auth | Mathematics and statistics for financial risk management |
title_exact_search | Mathematics and statistics for financial risk management |
title_full | Mathematics and statistics for financial risk management Michael B. Miller |
title_fullStr | Mathematics and statistics for financial risk management Michael B. Miller |
title_full_unstemmed | Mathematics and statistics for financial risk management Michael B. Miller |
title_short | Mathematics and statistics for financial risk management |
title_sort | mathematics and statistics for financial risk management |
topic | Mathematisches Modell Risk management / Mathematical models Risk management / Statistical methods Risikomanagement (DE-588)4121590-4 gnd Finanzmathematik (DE-588)4017195-4 gnd |
topic_facet | Mathematisches Modell Risk management / Mathematical models Risk management / Statistical methods Risikomanagement Finanzmathematik |
work_keys_str_mv | AT millermichaelb mathematicsandstatisticsforfinancialriskmanagement |