Add this copy of Restoring Confidence in the Financial System: See to cart. $2.06, new condition, Sold by PlumCircle rated 5.0 out of 5 stars, ships from West Mifflin, PA, UNITED STATES, published 2010 by Harriman House.
Add this copy of Restoring Confidence in the Financial System: See to cart. $21.33, new condition, Sold by Pearlydewdrops rated 4.0 out of 5 stars, ships from Haywards Heath, WEST SUSSEX, UNITED KINGDOM, published 2010 by Harriman House Publishing.
Add this copy of Restoring Confidence in the Financial System: See to cart. $21.48, new condition, Sold by Pumpkin Wholesale Ltd rated 4.0 out of 5 stars, ships from Abingdon, Oxon, UNITED KINGDOM, published 2010 by Harriman House Publishing.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
""Restoring Confidence In The Financial System" is a ground-breaking book in which a top mathematician, who is also one of the City of London's most experienced traders, and an experienced City banker explore how confidence in the global financial system was destroyed by the current banking crisis. Drawing on his firsthand experience of steering the trading floor at a major European bank, Sean Tully, together with Richard Bassett, analyses the steps that led up to the crisis and pinpoint precisely one of the main causes of the lending bubble with whose consequences we are all now living. The authors explain the intricacies of the regulatory framework of Basel I and Basel II, the two landmark events in banking regulation which inadvertently laid the foundation for the current crisis. The authors then show how a radical and new but easily understood measure of risk, revealed here for the first time, can prevent another such bubble from ever happening again. This new measure, called see-through leverage or STL, can be used to restore faith in the financial system by allowing a rapid means of differentiating between potentially toxic and healthy 'AAA'-rated securities. Armed with STL, investors, rating agencies and regulators alike can cut through the complexity of economic modeling to the nub of the problem: leverage.
