Quantitative Methods In Risk Analysis: A Practitioner's Guide
Series: World Scientific Series In Finance; 0;
- Publisher's listprice GBP 45.00
-
21 498 Ft (20 475 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 8% (cc. 1 720 Ft off)
- Discounted price 19 779 Ft (18 837 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
21 498 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher World Scientific
- Date of Publication 11 March 2026
- ISBN 9789819824489
- Binding Paperback
- No. of pages250 pages
- Language English 700
Categories
Long description:
The aim of this book is to provide the basic concepts and techniques underlying the quantitative analysis of risk in stochastic dynamic systems. The methods are general, but the emphasis is on financial systems in market economies, and operating systems in transportation. Real world case studies are included. These case studies illustrate how risk analysis is done in practice. Data files are also analysed with the EViews software.Throughout the book, the role of decisions on the outcome from stochastic systems is emphasized. The theme is that 'decisions have consequences'. The standard risk measures for the consequences from downside outcomes are presented, and risk-return models incorporate those measures into optimal decisions.With the inclusion of both conceptual models and practical applications, the book is accessible to senior undergraduate and graduate students in business. In particular, the book is a suitable reference or text for a risk analysis course for masters of business administration students.Some mathematical background is required to understand the models and equations. Experience with statistical reasoning and statistical software is an advantage. There are appendices which summarize relevant mathematical concepts included in the book.
More
