Paperback: 228 pages
Publisher: Research Foundation of CFA Institute (July 8, 2011)
Language: English
ISBN-10: 1934667412
ISBN-13: 978-1934667415
Product Dimensions: 6 x 0.5 x 9 inches
Shipping Weight: 14.2 ounces (View shipping rates and policies)
Average Customer Review: 4.2 out of 5 stars See all reviews (36 customer reviews)
Best Sellers Rank: #175,675 in Books (See Top 100 in Books) #43 in Books > Business & Money > Insurance > Risk Management
This book is focused on risk management for a financial firm, and is mainly devoted to the analysis of financial risk. Some interesting ideas arise: (i) Risk management is too important a responsibility for managers to delegate it. (ii) Risk management is about taking advantage of opportunities: “controlling the downside and exploiting the upside” (distinguishing between downside risk and upside opportunity). (iii) The only outcome that matters is future cash flow and profits of the firm.Here I summarize some of the main ideas from each Chapter:In Chapter 1 the author presents some concepts about risk measurement and management.Chapter 2 has a very interesting discussion on probability and intuition, including a nice set of examples on how intuition might fool you in measuring probabilities. It discusses Frequency type and Bayesian type probabilities.In Chapter 3 Coleman shows the importance of soft managerial skills in risk management discussing the importance of managing people, processes, data, etc. In my opinion this discussion is too light and brief given its importance in the final outcome. In the section Organizational Structure, there is an interesting discussion regarding the structure of the risk management department and the role of the CROIn Chapter 4 the author lists and discusses several financial disasters. They are separated into Idiosyncratic and Systemic problems. There is not much more than that, but the data in interesting. The list of lessons learned in Page 119 is worth reading.Chapter 5 presents quantitative risk measurement techniques, with a strong emphasis on VaR (including a brief discussion on the models to estimate it) and volatility.
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