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6
result(s) for
"Feldman, Paul, author"
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Too big to fail
by
Gary H. Stern
,
Ron J. Feldman
in
Bailouts (Government policy)
,
Bank failures
,
Bank failures -- Government policy -- United States
2004
The potential failure of a large bank presents vexing questions for policymakers. It poses significant risks to other financial institutions, to the financial system as a whole, and possibly to the economic and social order. Because of such fears, policymakers in many countries--developed and less developed, democratic and autocratic--respond by protecting bank creditors from all or some of the losses they otherwise would face. Failing banks are labeled \"too big to fail\" (or TBTF). This important new book examines the issues surrounding TBTF, explaining why it is a problem and discussing ways of dealing with it more effectively. Gary Stern and Ron Feldman, officers with the Federal Reserve, warn that not enough has been done to reduce creditors' expectations of TBTF protection. Many of the existing pledges and policies meant to convince creditors that they will bear market losses when large banks fail are not credible, resulting in significant net costs to the economy. The authors recommend that policymakers enact a series of reforms to reduce expectations of bailouts when large banks fail.
Guillermo del Toro : at home with monsters : inside his films, notebooks, and collections
by
Salvesen, Britt, author, editor
,
Shedden, Jim, 1963- author, editor
,
Koudounaris, Paul, author
in
Toro, Guillermo del, 1964- Exhibitions.
,
Toro, Guillermo del, 1964- Criticism and interpretation.
,
Toro, Guillermo del, 1964- Homes and haunts.
2016
Alabama Governors
by
Webb, Samuel L
,
Brewer, Albert P
,
Armbrester, Margaret E
in
Alabama
,
American Studies
,
Biography
2014
An entirely revised and updated edition of the
best-selling 2001 original This collection of
biographical essays, written by thirty-four noted historians and
political scientists, chronicles the times, careers, challenges,
leadership, and legacies of the fifty-seven men and one woman who
have served as the state's highest elected official. The book is
organized chronologically into six sections that cover
Alabama’s years as a US territory and its early statehood,
the 1840s through the Civil War and Reconstruction, the late
nineteenth-century Bourbon era, twentieth-century progressive and
wartime governors, the Civil Rights era and George
Wallace’s period of influence, and recent chief executives
in the post-Wallace era. The political careers of these
fifty-eight individuals reflect the story of Alabama itself.
Taken together, these essays provide a unified history of the
state, with its recurring themes of race, federal-state
relations, tensions between north and south Alabama, economic
development, taxation, and education.
Alabama Governors expertly delineates the decisions and
challenges of the chief executives, their policy initiatives,
their accomplishments and failures, and the lasting impact of
their terms. The book also includes the true and sometimes
scandalous anecdotes that pepper Alabama’s storied history.
Several of the state's early governors fought duels; one killed
his wife's lover. A Reconstruction era-governor barricaded
himself in his office and refused to give it up when voters
failed to reelect him. A twentieth-century governor, an alumnus
of Yale, served as an officer in the Ku Klux Klan. This entirely
updated and revised edition includes enlarged and enhanced images
of each governor. Published as Alabama prepares for its
sixty-fourth gubernatorial election, Alabama Governors is certain
to become a valuable resource for teachers, students, librarians,
journalists, and anyone interested in the colorful history of
Alabama politics.
Neural networks : a systematic introduction
1996
Artificial neural networks are an alternative computational paradigm with roots in neurobiology which has attracted increasing interest in recent years. This book is a comprehensive introduction to the topic that stresses the systematic development of the underlying theory. Starting from simple threshold elements, more advanced topics are introduced, such as multilayer networks, efficient learning methods, recurrent networks, and self-organization. The various branches of neural network theory are interrelated closely and quite often unexpectedly, so the chapters treat the underlying connection between neural models and offer a unified view of the current state of research in the field. The book has been written for anyone interested in understanding artificial neural networks or in learning more about them. The only mathematical tools needed are those learned during the first two years at university. The text contains more than 300 figures to stimulate the intuition of the reader and to illustrate the kinds of computation performed by neural networks. Material from the book has been used successfully for courses in Germany, Austria and the United States.