| Description |
1 online resource (x, 61 pages) : illustrations |
| Series |
SpringerBriefs in Operations Research, 2195-0482 |
|
SpringerBriefs in operations research, 2195-0482
|
| Contents |
Basic notions -- A major problem in using time series of data : stationarity -- Another major problem in using time series of data : the accuracy of the statistical measures -- Issues about modeling -- Financial data : some risk management issues -- Synthesis |
| Summary |
"Use of quantitative data, especially in financial markets, may provide rapid results due to the ease-of-use and availability of fast computational software, but this book advises caution and helps to understand and avoid potential pitfalls. It deals with often underestimated issues related to the use of financial quantitative data, such as non-stationarity issues, accuracy issues and modeling issues. It provides practical remedies or ways to develop new calculation methodologies to avoid pitfalls in using data, as well as solutions for risk management issues in financial market. The book is intended to help professionals in financial industry to use quantitative data in a safer way."-- ProQuest Ebook Central resource page, viewed April 21, 2023) |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from digital title page (ProQuest Ebook Central, viewed April 21, 2023) |
| Subject |
Financial engineering.
|
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Finance -- Decision making -- Data processing
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Finance -- Mathematical models -- Data processing
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Quantitative research.
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Search theory.
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Operations research.
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Decision making.
|
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Risk management.
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Capital market.
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Decision Theory
|
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Operations Research
|
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Decision Making
|
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Risk Management
|
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decision making.
|
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risk management.
|
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Capital market
|
|
Decision making
|
|
Financial engineering
|
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Operations research
|
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Risk management
|
| Form |
Electronic book
|
| ISBN |
9783030675806 |
|
3030675807 |
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