Working Paper

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Working Paper: Macro-financial linkages in a SVAR model with application to Denmark

We analyse macro-financial linkages in the Danish economy by estimating a structural VAR model. We construct a new financial condition index for the Danish economy. We find that financial conditions stimulated GDP before the financial crisis and deepened the subsequent recession. In recent years, financial conditions have contributed to the expansion in Denmark.


Working Paper: Housing wealth effects and mortgage borrowing

We investigate the co-movement of house prices, home equity extraction and consumption in Denmark. Using survey data we develop a measure for unanticipated house price changes which can be merged on Danish administrative data. Thus, we can show how home owners who experience an unexpected positive house price shock extract home equity and increase spending. We find that the effect is driven by home owners who could potentially benefit from refinancing existing mortgages. This indicates that the wealth effect is intimately connected to the functioning of the mortgage market.


Working Paper: Firm-level Entry and Exit over the Danish Business Cycle

We use micro level registry data to study firm dynamics in Denmark. Similar to findings for the US, young firms are more likely to exit and to grow faster over time but Danish firms also take longer to reach maturity. We do not observe any signs of a slowdown in the entry rate or long-run scarring effects on firms entering in recessions. However, fluctuations in the entry rate have persistent effects on the long-run aggregate volume of value added.


Working Paper: Consistency between household-level consumption data from registers and surveys

We explore the consistency at household-level between register-imputed and survey-based consumption figures for Denmark over the period 2002-15. We find that the marginal propensities to consume out of income estimated on the basis of register data are not significantly different to those estimated on the basis of survey data.


Working paper: Predicting distresses using deep learning of text segments in annual reports

We develop a probability-of-default model for Danish corporate firms based on deep learning that employs the managements' statements and auditors' reports of the annual reports in addition to the numerical financial variables. Our results show that the text segments provide a statistically significant enhancement of the prediction accuracy compared to models that do not employ the text segments, in particular for large firms. Our results furthermore show that the auditors' reports contain more relevant information than the managements' statements.


Working paper: Consumption Heterogeneity: Micro Drivers and Macro Implications

This paper aims to test the microfoundations of consumption models and quantify the macro implications of heterogeneity in consumption behavior. We propose a new empirical method to estimate the sensitivity of consumption to permanent and transitory income shocks and apply it to administrative data from Denmark. We find that households who stand to lose from an interest rate hike are more sensitive to income shocks than those who stand to gain. This interest rate exposure channel is potentially more important than the standard intertemporal substitution channel.


Working paper: Can machine learning models capture correlations in corporate distresses?

We implement a regularly top-performing machine learning model and find that the added complexity in the model does not imply that the model is better at capturing correlation in corporate distresses compared to traditional distress models. Instead, we propose a frailty model, which allows for correlations in distresses. This model demonstrates competitive performance in terms of ranking firms by their riskiness, while providing accurate risk measures of a corporate loan portfolio.


Working Paper: Active Loan Trading

The collateralized loan obligation, CLO, market withstood the recent financial crisis with minimal losses compared to other structured asset-backed securities. We investigate one unique aspect of CLOs – that the CLO manager actively maintains the collateral pool by selling and purchasing loans. We find that more active CLOs trade at better prices, provide higher returns to equity investors, and maintain lower collateral portfolio default rates than less active CLOs.


Working Paper: Can Central Banks Boost Corporate Investment: Evidence from the ECB Liquidity Injections

Can monetary stimulus boost corporate investment? We answer this question by studying ECB's 2011-2012 Longer-Term Refinancing Operations (LTROs). While we find that the LTROs helped to decelerate the declined in Eurozone firms' investment our results also show that banks' use of LTRO funds is negatively associated with their clients' investment. Overall, the paper highlights the difficulty of boosting investment by injecting liquidity into the banking system.


Working Paper: Corporate debt maturity and investment over the business cycle

In this paper I study the business cycle dynamics of the maturity structure of the debt of U.S. non-financial firms. To account for the documented facts, I construct a quantitative dynamic equilibrium model in which firms optimally choose their debt maturity structure. The model can match stylized facts about the level and dynamics of the maturity structure of debt, both in the aggregate and along the firm size distribution.