Blog Week in Risk (ending August 21st)

David Harper CFA FRM

David Harper CFA FRM
Subscriber
Banks
Alternatives
Markets
Regulation (including BIS) and Case Studies
Weather (Louisiana Floods and Climate)
Books
  • How to Measure Anything in Cybersecurity Risk http://amzn.to/2bqjbjS I am really looking forward to reading this latest by Douglas Hubbard because I am a fan of both of his previous books including the highly-regarded How to Measure Anything. The authors website is here http://www.hubbardresearch.com/
  • Chuck Klosterman on But What If We're Wrong (EconTalk podcast) http://www.econtalk.org/archives/2016/08/chuck_klosterma.html “So, I want to start with the general question that runs through the book: Why are we so confident about so many things that are likely to turn out to be incorrect?”
Other
  • PwC on trial for not spotting $2.9bn fraud (Reputational damage looms as firm’s US arm says it was duped by ‘dedicated’ gang) https://www.ft.com/content/a351836c-63bb-11e6-8310-ecf0bddad227 “The biggest ever trial of an audit firm has a lot of lurid elements: a $2.9bn fraud, carried out over years, in which cash was looted to pay for a corporate jet, a seaplane and a vintage car collection. But the jury is basically being asked to answer a simple question: did PwC do all that it could to stop it?”
  • A clubby oligopoly that is overdue for reform https://www.ft.com/content/b7b97e82-6540-11e6-a08a-c7ac04ef00aa “Fifteen years after the collapse of Enron, the big names in the corporate auditing sector are once again under the microscope. This week, a Florida jury has been hearing testimony in a $5.5bn lawsuit against PwC, the largest civil claim against a Big Four accounting firm to reach trial.”
  • Who Would Win a Currency War? No One by Satyajit Das https://www.bloomberg.com/view/articles/2016-08-17/no-one-can-win-a-global-currency-war
  • Two Lingering Suspicions About Economic Statistics https://www.bloomberg.com/view/arti...ingering-suspicions-about-economic-statistics “One is that the government numbers are unnaturally smooth, the other is that they suffer from what economics-data skeptic John Williams charmingly dubs “Pollyanna creep,” the tendency of statistics agencies to make adjustments that -- on balance, over the decades -- leave the data looking rosier than the economic reality.”
 
Top