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  • 1
    UID:
    almafu_BV026957649
    Format: 20 S. : , graph. Darst.
    Series Statement: CESifo working papers 2060 : Category 6, Monetary policy and international finance
    Note: Auch im Internet unter den Adressen www.SSRN.com, www.RePEc.org und www.CESifo-group.de verfügbar
    Language: English
    Subjects: Economics
    RVK:
    Keywords: Währungsunion ; Wandel ; Kreditmarkt ; Politisches Interesse ; Wandel
    URL: Volltext  (kostenfrei)
    Author information: Haan, Jakob de 1960-
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  • 2
    UID:
    almafu_BV026957938
    Format: 26 S.
    Series Statement: CESifo working papers 2372 : Category 6, Monetary policy and international finance
    Note: Auch im Internet unter den Adressen www.SSRN.com, www.RePEc.org und www.CESifo-group.de verfügbar
    Language: English
    Subjects: Economics
    RVK:
    Keywords: Bankpolitik
    URL: Volltext  (kostenfrei)
    Author information: Haan, Jakob de 1960-
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  • 3
    Online Resource
    Online Resource
    Washington, D.C. :International Monetary Fund,
    UID:
    edoccha_9958119627702883
    Format: 1 online resource (38 p.)
    ISBN: 1-4623-5573-0 , 1-4552-7690-1 , 1-283-56827-6 , 1-4552-1046-3 , 9786613880727
    Series Statement: IMF working papers ; WP/10/255
    Content: This paper analyzes macroeconomic determinants of the foreign exchange risk premium in two Gulf Cooperation Council (GCC) countries that peg their currencies to the U.S. dollar: Saudi Arabia and the United Arab Emirates. The analysis is based on the stochastic discount factor methodology, which imposes a no arbitrage condition on the relationship between the foreign exchange risk premium and its macroeconomic determinants. Estimation results suggest that U.S. inflation and consumption growth are important factors driving the risk premium, which is in line with the standard C-CAPM model. In addition, growth in international oil prices influences the risk premium, reflecting the important role played by the hydrocarbon sector in GCC economies. The methodology employed in this paper can be used for forecasting the risk premium on a monthly basis, which has important practical implications for policymakers interested in the timely monitoring of risks in the GCC.
    Note: "November 2010." , Cover Page; Title Page; Copyright Page; Contents; Introduction; 1. Theoretical Background; A. Review of Methodological Approaches for Modeling Foreign Exchange Risk; B. The Stochastic Discount Factor Approach; II. Econometric Methodology and Data; A. Multivariate GARCH-in-Mean Model; B. Data; Figure 1: Foreign Exchange Forward Differential in Saudi Arabia; Figure 2: Foreign Exchange Forward Differential in the United Arab Emirates; Table 1: Descriptive Statistics; Figure 3: U.S. CPI Inflation; Figure 4: U.S. Consumption; Figure 4: Nominal Oil Prices; III. Estimation Results , A. Empirical FindingsFigure 6: Actual and Estimated Foreign Exchange Risk Premium in Saudi Arabia; Figure 7: Actual and Estimated Foreign Exchange Risk Premium in the United Arab Emirates; Table 2: Estimation Results: Saudi Arabia; Table 3: Estimation Results: The United Arab Emirates; B. Determinants of FX Risk Premium; C. Diagnostics and Model Specification Tests; Table 4: Specification Tests; IV. Conclusions; References; Footnotes , English
    Additional Edition: ISBN 1-4552-0955-4
    Language: English
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  • 4
    Online Resource
    Online Resource
    [Washington, D.C.] :International Monetary Fund,
    UID:
    edocfu_9958098540902883
    Format: 1 online resource (39 p.)
    Edition: 1st ed.
    ISBN: 1-4623-4569-7 , 1-4527-9346-8 , 1-4518-7156-2 , 1-282-84231-5 , 9786612842313
    Series Statement: IMF working paper ; WP/09/9
    Content: The global financial crisis has highlighted the importance of early identification of weak banks: when problems are identified late, solutions are much more costly. Until recently, Europe has seen only a small number of outright bank failures, which made the estimation of early warning models for bank supervision very difficult. This paper presents a unique database of individual bank distress across the European Union from mid-1990s to 2008. Using this data set, we analyze the causes of banking distress in Europe. We identify a set of indicators and thresholds that can help to distinguish sound banks from those vulnerable to financial distress.
    Note: Description based upon print version of record. , Contents; I. Introduction; II. Motivation; A. Early Warning Systems for Banking Soundness; B. Examples of Uses of the Early Warning Systems; III. Methodology and Data; A. Estimation Methodology; B. Data; Figures; 1. Overview of Distress Events by Year and by Country, 1995-2007; Tables; 1. Database Overview; 2. Determinants of Bank Distress; IV. Estimation Results; A. Baseline Estimate; B. Robustness Checks; 3. Logit Estimation Results; C. Prediction Results; 4. Type I and Type II Errors; 2. Banks at Risk; 3. Assets at Risk; D. Marginal Effects , 4. Marginal Effects of Significant CAMEL Covariates5. Trade-off in the Impact on PD between Pairs of Significant CAMEL Covariates; V. Conclusion; Appendices; I. Early Warning Systems for Banking Supervision:; II. European Banking System; III. European Structured Early Intervention and Resolution; References , English
    Additional Edition: ISBN 1-4519-1592-6
    Language: English
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  • 5
    Online Resource
    Online Resource
    Washington, D.C. :International Monetary Fund,
    UID:
    edocfu_9958088116202883
    Format: 1 online resource (27 p.)
    ISBN: 1-4623-0427-3 , 1-4552-7892-0 , 1-283-55361-9 , 9786613866066 , 1-4552-1047-1
    Series Statement: IMF working papers ; WP/10/256
    Content: This paper estimates a disequilibrium model of credit supply and demand to evaluate the relative role of these factors in the slowdown of credit flows in the Jordanian economy in the wake of the global financial crisis. The empirical analysis suggests that the credit stagnation is mainly driven by the restricted credit supply amid tighter monetary policy conditions in Jordan relative to the United States, as evidenced by the widened interest differential between the Central Bank of Jordan (CBJ) re-discount and the U.S. Federal Reserve funds rates. Although it appears that demand side factors related to the slowdown of economic activity have also had an impact, their role has been relatively modest. The estimation results imply that economic policies targeted towards stimulating supply of credit are likely to be a more effective tool for expanding credit flows relative to demand stimulating policies.
    Note: "November 2010." , Cover Page; Title Page; Copyright Page; Contents; I. Introduction; Figure 1. Jordan: Interest Rates, Credit to the Private Sector and Excess Reserves; II. Disequilibrium Models: A Brief Survey of the Literature; III. Methodology; A. The Credit Supply Equation; B. The Credit Demand Equation; C. The Empirical Estimation Strategy; IV. Results; Table 1: Maximum Likelihood Estimations of Disequilibrium Model; Figure 2. Jordan: Dynamics of Predicted Credit Demand and Supply (JD millions); Figure 3. Jordan: Deviation of Demand and Supply from Observed Credit Volume; V. Conclusion; Appendix , ReferencesFootnotes , English
    Additional Edition: ISBN 1-4552-0956-2
    Language: English
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  • 6
    UID:
    almahu_9948319528802882
    Format: 25 p. : , ill.
    Edition: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
    Series Statement: IMF working paper ;
    Note: At head of title: Fiscal Affairs Department -- verso of t.p. , "November 2012"-- verso of t.p.
    Language: English
    Keywords: Electronic books.
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  • 7
    UID:
    edocfu_9958078115002883
    Format: 22 p. : , ill.
    Edition: 1st ed.
    ISBN: 1-4623-9612-7 , 1-4518-7367-0 , 9786612844249 , 1-4527-9445-6 , 1-282-84424-5
    Series Statement: IMF working paper ; WP/09/220
    Content: This paper analyzes the relationship between oil price shocks and bank profitability. Using data on 145 banks in 11 oil-exporting MENA countries for 1994-2008, we test hypotheses of direct and indirect effects of oil price shocks on bank profitability. Our results indicate that oil price shocks have indirect effect on bank profitability, channeled through country-specific macroeconomic and institutional variables, while the direct effect is insignificant. Investment banks appear to be the most affected ones compared to Islamic and commercial banks. Our findings highlight systemic implications of oil price shocks on bank performance and underscore their importance for macroprudential regulation purposes in MENA countries.
    Note: "October 2009." , Intro -- Contents -- I. Introduction -- II. Methodology and Data -- A. Estimation Methodology and Hypothesis Testing Strategy -- B. Data -- III. Estimation Results -- IV. Conclusions -- References -- Figures -- 1. Hypothesis Testing Strategy -- 2. Dynamics of Four Measures of the Oil Price Shock -- 3. Correlation of Macro Variables and Oil Price Shocks -- Tables -- 1. Descriptive Statistics -- 2. Mean Bank Profitability Across Countries -- 3. Mean Bank Profitability Across Bank Specialization -- 4. Do Oil Prices Matter? -- 5. Which Banks Are Most Affected? -- 6. Is There An Indirect Oil Price Effect? -- 7. Has the Financial Crisis Had An Impact? -- 8. Which Banks Are Most Affected?. , English
    Additional Edition: ISBN 1-4519-1787-2
    Language: English
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  • 8
    UID:
    edoccha_9958120573102883
    Format: 1 online resource (26 p.)
    ISBN: 1-4623-3758-9 , 1-4527-3591-3 , 1-282-84592-6 , 9786612845925 , 1-4552-0063-8
    Series Statement: IMF working paper ; WP/10/104
    Content: This paper analyses the recent boom-bust cycle in the housing markets of selected Former Soviet Union (FSU) countries. The analysis is based on a newly constructed database on house prices in the FSU countries. Our estimations suggest that house price developments can largely be explained by the dynamics of fundamentals, such as GDP, remittances, and external financing. Overall, we find that deviations of house prices from their fundamentals have not been pronounced, suggesting that house price bubbles have not been formed in the FSU countries.
    Note: "April 2010." , At head of title: Middle East and Central Asia. , Cover Page; Title Page; Copyright Page; Contents; I. Introduction; II. Literature Overview; III. Data and Methodology; IV. Estimation Results; V. Conclusions and Policy Recommendations; Footnotes
    Language: English
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  • 9
    UID:
    edocfu_9958066522302883
    Format: 1 online resource (30 p.)
    ISBN: 1-4623-4768-1 , 1-4527-3188-8 , 1-282-84534-9 , 9786612845345 , 1-4519-6249-5
    Series Statement: IMF working paper ; WP/10/27
    Content: Based on detailed regulatory intervention data among German banks during 1994-2008, we test if supervisory measures affect the likelihood and the timing of bank recovery. Severe regulatory measures increase both the likelihood of recovery and its duration while weak measures are insignificant. With the benefit of hindsight, we exclude banks that eventually exit the market due to restructuring mergers. Our results remain intact, thus providing no evidence of "bad" bank selection for intervention purposes on the side of regulators. More transparent publication requirements of public incorporation that indicate more exposure to market discipline are barely or not at all significant. Increasing earnings and cleaning credit portfolios are consistently of importance to increase recovery likelihood, whereas earnings growth accelerates the timing of recovery. Macroeconomic conditions also matter for bank recovery. Hence, concerted micro- and macro-prudential policies are key to facilitate distressed bank recovery.
    Note: Description based upon print version of record. , Contents; I. Introduction; Text Tables; 1. Description of Hypotheses; II. Regulatory Background of Capital Measures; III. Capital Injections and Recovery; 2. Capital Injections, Recovery, and Exit 1994-2008; Text Figure; 1. Top Ten Regulatory Measures Administered to All German Banks (1994-2008); IV. Methodology and Covariates; A. Methodology; B. Covariates and Expectations; 3. Summary Statistics on Regulatory, Bank, and Environmental Covariates; V. Results; 4. Split-Population Duration on Injection Recovery Between 1994 and 2008; A. Severity of Measures , 5. Separating Different Severity of InterventionsB. Time Span Sensitivity; 6. Exclusion of Uncertain and Crisis Years; VI. Conclusion; References
    Language: English
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  • 10
    Online Resource
    Online Resource
    Washington, D.C. :International Monetary Fund,
    UID:
    almafu_9958065652402883
    Format: 1 online resource (36 p.)
    Edition: 1st ed.
    ISBN: 1-4755-5221-1 , 1-4755-4068-X
    Series Statement: IMF working paper ; WP/12/281
    Content: This paper explores how corporate taxes affect the financial structure of multinational banks. Guided by a simple theory of optimal capital structure it tests (i) whether corporate taxes induce subsidiary banks to raise their debt-asset ratio in light of the traditional debt bias; and (ii) whether international corporate tax differentials vis-a-vis foreign subsidiary banks affect the intra-bank capital structure through international debt shifting. Using a novel subsidiary-level dataset for 558 commercial bank subsidiaries of the 86 largest multinational banks in the world, we find that taxes matter significantly, through both the traditional debt bias channel and the international debt shifting that is due to the international tax differentials. The latter channel is more robust and tends to be quantitatively more important. Our results imply that taxation causes significant international debt spillovers through multinational banks, which has potentially important implications for tax policy.
    Note: Description based upon print version of record. , Cover; Contents; I. Introduction; II. Theoretical Model; III. Empirical Methodology and Data; A. Methodology; B. Data; IV. Results; A. Baseline Regressions; B. Robustness Checks; C. Extension: Capital Tightness; V. Conclusions; References; Technical Appendix; Figures; 1. Bank Leverage Histogram; Tables; 1. Variable Source and Construction; 2. Summary Statistics; 3. Correlations; 4. Number of Banks; 5. Average Financial Leverage and Tax Rates; 6. Baseline Estimation Results; 7. Robustness Check Estimation Results: Standard Errors; 8. Robustness Check Estimation Results: Alternatives , 9. Robustness Check Estimation Results: Leverage Skewness and Tax Trend 10. Robustness Check Estimation Results: Subsamples; 11. Estimation Results: Capital Tightness , English
    Additional Edition: ISBN 1-4755-4938-5
    Additional Edition: ISBN 1-4755-7220-4
    Language: English
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