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Banking and Finance Collections
A wide range of special librarians from banking, finance, and government provide descriptive accounts of their respective collections in this comprehensive volume. They provide an introduction to some of the major library and archival resources available to bankers, financiers, and investors, as well as offer access to the historian and scholar doing research in some aspect of business. The collections represented include the Federal Reserve System, the Joint Bank-Fund Library of the International Monetary Fund and the World Bank, Standard & Poor’s, the Wells Fargo Corporation, the Lippincott Library of the Wharton School, and more.
Managing Risk in Thrift Institutions
Even if thrift institutions were exposed only to interest rate risk, gap management using simple duration would be an imperfect method, particularly for callable assets and liabilities. Duration measures interest rate risk for parallel shifts in the yield curve, but actual yield curve shifts should not be, and usually are not, parallel. An alternative to duration is a multi-factor model such as the Arbitrage Pricing Model (APT). An empirical investigation of a sample of large thrifts disclosed that they are exposed to APT factors such as inflation, investor confidence, and the term structure. The level of thrift exposure to these risk factors is twice that of the average industrial company and thrifts also exhibit an unusually large amount of non-systematic risk.
Banking Institutions in Developing Markets: Building strong managememt and responding to change
Describes how to run a sound and efficient bank in a liberalized financial environment.Also available:Banking Institutions in Developing Markets. Volume 2: Interpreting Financial StatementsChris J. Barltrop and Diana McNaughton152 pages / (ISBN 0-8213-2218-4) / Stock No. 12218 / $20.00 / Price code S2
Predicting Turning Points in the Interest Rate Cycle (RLE: Business Cycles)
Originally published in 1994 and the recipient of the Stonier Library Award, this volume evaluates an alternative approach – the sequential filter- to managing the uncertainty inherent in the future course of the interest rate cycle. The specific hypothesis is that the sequential filter can produce valuable signals of cyclical peaks and troughs in interest rates. The analysis focusses on US interest rates from April 1953 to December 1988.
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