Níl an t-ábhar seo ar fáil i nGaeilge.
Kim Abildgren
- 15 February 2013
- WORKING PAPER SERIES - No. 1516Details
- Abstract
- Utilising a unique data set with annual accounts from around 37,000 Danish non-financial firms spanning almost one and a half decade, we offer microeconometric evidence on bankfirm relationships and the survival of firms during the financial crisis 2008-9. Within the framework of accounting-based credit-scoring models we find that the probability of default during the crisis was significantly higher for firms with a
- JEL Code
- E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G33 : Financial Economics→Corporate Finance and Governance→Bankruptcy, Liquidation - Network
- Macroprudential Research Network
- 15 August 2012
- WORKING PAPER SERIES - No. 1460Details
- Abstract
- We examine the real effects of credit-supply shocks using a series of structural vector autoregressive models estimated on the basis on a new quarterly data set for Denmark spanning the past 90 years or so. We find no effects on the unemployment level from supplyshocks to credit from commercial/savings banks in the periods 1922-1949 and 1981-2011 even though these periods contained several cases of severe banking and financial crises. Furthermore, credit-supply shocks do not seem to explain any significant share of the volatility in the unemployment rate during these periods. We attribute these findings to the large market for mortgage-credit loans in Denmark raised through bond-financed mortgage banks combined with comprehensive government interventions to safeguard financial stability during times of crises. There might, however, be indications of real effects from credit-supply shocks in the period 1950-1980 where credit rationing and exchange controls served as important economic-policy instruments. Overall these results indicate that both the financialsystem structure as well as the extent of government intervention during banking crises play a key role to the significance of real effects of credit-supply shocks. These findings must be kept in mind when modelling the role of financial intermediaries in macroeconomic models.
- JEL Code
- C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E51 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Money Supply, Credit, Money Multipliers
N14 : Economic History→Macroeconomics and Monetary Economics, Industrial Structure, Growth, Fluctuations→Europe: 1913? - Network
- Macroprudential Research Network
- 15 August 2012
- WORKING PAPER SERIES - No. 1458Details
- Abstract
- In Denmark official quarterly national accounts are only available for the period since 1977. The paper constructs a set of summary non-seasonally adjusted quarterly national accounts for Denmark for 1948-2010 in current and constant prices as well as a set of other key quarterly macroeconomic indicators covering the Danish economy since 1948. As a first exploratory analysis of these two new data sets the paper reviews some of the stylised empirical evidence on the business cycle, the monetary transmission mechanism and shocks to financial stability that can be uncovered using filtering techniques and reduced-form vector autoregressive (VAR) models. The long-span data sets make it possible to estimate VAR models of a higher dimension than is usually found in the literature due to degrees-of-freedom problems. The results from the VAR analysis indicate a significant and long-lasting negative impact on real GDP following an exogenous shock to the banking sector's write-down ratio.
- JEL Code
- C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
C82 : Mathematical and Quantitative Methods→Data Collection and Data Estimation Methodology, Computer Programs→Methodology for Collecting, Estimating, and Organizing Macroeconomic Data, Data Access
E01 : Macroeconomics and Monetary Economics→General→Measurement and Data on National Income and Product Accounts and Wealth, Environmental Accounts
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
N14 : Economic History→Macroeconomics and Monetary Economics, Industrial Structure, Growth, Fluctuations→Europe: 1913? - Network
- Macroprudential Research Network