Zobrazeno 1 - 10 of 30 pro vyhledávání: '"John S. Jordan"'
1
Capital and Risk: New Evidence on Implications of Large Operational Losses
Autor: Patrick de Fontnouvelle, Virginia De Jesus-Rueff, Eric S. Rosengren, John S. Jordan
Publikováno v: Journal of Money, Credit and Banking. 38:1819-1846
Operational risk is currently receiving significant media attention, as financial scandals have appeared regularly and multiple events have exceeded one billion dollars in total impact. Regulators have also been devoting attention to this risk, and a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6171f2dda5d72b4bbf0d14782e6b356e
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2
The Market Reaction to the Disclosure of Supervisory Actions: Implications for Bank Transparency
Autor: John S. Jordan, Eric S. Rosengren, Joe Peek
Publikováno v: Journal of Financial Intermediation. 9:298-319
We examine the stock market reaction to announcements of formal supervisory actions. We find that the variation in the quality and timeliness of disclosure by U.S. banks explains much of the variation in the market's reactions. We also find that thes
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b3aa2bd6f3360ee2a8ba852a1930a969
https://doi.org/10.1006/jfin.2000.0292
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4
The impact of measurement error in the U.S. National Income and Product Accounts on forecasts of GNP and its components1
Autor: Kathleen M. Lang, Martin Fleming, John S. Jordan
Publikováno v: Journal of Economic and Social Measurement. 22:89-102
This paper reviews the performance of the National Income and Product Accounts (NIPA) over the period 1986 through 1991. Forecasts published jointly by the American Statistical Association and the National Bureau of Economic Research are decomposed i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc5a0480f50080f4181648c2f7a4c851
https://doi.org/10.3233/jem-1996-22201
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6
Minnesota Multiphasic Personality Inventory (MMPI) cluster groups among chronically ill patients: Relationship to illness adjustment and treatment outcome
Autor: Charles H. Bombardier, George W. Divine, Francis A. Neelon, John S. Jordan, W. Blair Brooks
Publikováno v: Journal of Behavioral Medicine. 16:467-484
Cluster analysis of the MMPI has been utilized widely in the chronic low back pain literature to try to identify reliable patient subtypes predictive of treatment outcome. We extended this methodology to patients with heterogeneous chronic medical co
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3ea0139cd30314dcfafa435022af864
https://doi.org/10.1007/bf00844817
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8
Implications of Alternative Operational Risk Modeling Techniques
Autor: Eric S. Rosengren, John S. Jordan, Patrick de Fontnouvelle
Quantification of operational risk has received increased attention with the inclusion of an explicit capital charge for operational risk under the new Basle proposal. The proposal provides significant flexibility for banks to use internal models to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cac373b0f86876b4fd3dadb7dda85458
https://doi.org/10.3386/w11103
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9
Implications of Alternative Operational Risk Modeling Techniques
Autor: Patrick de Fontnouvelle, Eric S. Rosengren, John S. Jordan
Publikováno v: SSRN Electronic Journal.
Quantification of operational risk has received increased attention with the inclusion of an explicit capital charge for operational risk under the new Basle proposal. The proposal provides significant flexibility for banks to use internal models to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f51fb240d7410e746d23d39d3245bbcb
https://doi.org/10.2139/ssrn.556823
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10
Using Loss Data to Quantify Operational Risk
Autor: Patrick de Fontnouvelle, Eric S. Rosengren, John S. Jordan, Virginia De Jesus-Rueff
Publikováno v: SSRN Electronic Journal.
Management and quantification of operational risk has been impeded by the lack of internal or external data on operational losses. We consider newly available data collected from public information sources, and show how such data can be used to quant
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fc90d3264538734a8b2ed3131905cbc0
https://doi.org/10.2139/ssrn.395083
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