Topical Collection "Book Review Section"

Editor

Dr. Ola Mahmoud
E-Mail Website
Collection Editor
Faculty of Mathematics and Statistics, University of St. Gallen, and Center for Risk Management Research, University of California, Berkeley, CA, USA

Topical Collection Information

Dear Colleagues,

The Book Review Topical Collection of Risks provides readers an opportunity to keep abreast of scholarly books published in the areas of financial risk and insurance.

The primary goal of a book review is to help the reader decide whether or not to read the original item. A review should carefully summarize the main topics and results covered by the book in a manner that is comprehensible to someone who is not necessarily an expert in the field. Reviewers should take this opportunity to, not only describe the content and how well the exposition is, but to put the book into a larger perspective: How does it fit into the relevant field? How does it fit in from a historic perspective? Are there any books that are yet to be written? What is the reviewer's view on the overall development of the underlying research area? In general, reviewers are encouraged to add their own personal flavor. References to closely related works should be included.

We will also publish negative book reviews. However, if the reviewer decides on a negative evaluation, critical remarks should be objective and precise. Vague criticisms, which attack the writers without giving specific examples and which fail to enlighten readers, will not be accepted for publication.

Books reviewed should pertain to research areas covered by Risks, and, more specifically, to the following topics:

Financial risk management, including:
- Mathematical risk assessment
- Measures of risk
- Credit, liquidity, market, operational risk
- Asset pricing
- Statistical Modeling

Insurance, including:
- Insurance finance
- Insurance economics
- Actuarial sciences
- Insurance markets
- Insurance regulation

Dr. Ola Mahmoud
Collection Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Risks is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

2016

Book Review
Superforecasting: The Art and Science of Prediction. By Philip Tetlock and Dan Gardner
Risks 2016, 4(3), 24; https://doi.org/10.3390/risks4030024 - 05 Jul 2016
Cited by 4 | Viewed by 2734
Abstract
Let me say from the outset that this is an excellent book to read. It is not only informative, as it should be for a book on forecasting, but it is highly entertaining.[...] Full article
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Figure 1

Book Review
High-Frequency Financial Econometrics
Risks 2016, 4(1), 5; https://doi.org/10.3390/risks4010005 - 26 Feb 2016
Viewed by 2069
Abstract
This book is fundamentally about the estimation of risk.[...] Full article
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