Showing 1 - 10 of 112
We test whether a simple measure of corporate insolvency based on equity return volatility – and denoted as Distance to Insolvency (DI) – delivers better predictions of corporate default than the widely-used Expected Default Frequency (EDF) measure computed by Moody’s. We look at the...
Persistent link: https://www.econbiz.de/10014258129
We propose new systematic tail risk measures constructed using two different approaches. The first extends the canonical downside beta and co-moment measures, while the second is based on the sensitivity of stock returns to innovations in market crash risk. Both tail risk measures are associated...
Persistent link: https://www.econbiz.de/10012977194
portfolios of financial instruments. This quest led institutions to develop Value-at-Risk (VaR) models for their trading … portfolios in the 1990s. Subsequently, so-called filtered historical simulation VaR models have become popular tools due to their … estimates are often superior to the unconditional ones produced by the first generation of VaR models. This paper explores the …
Persistent link: https://www.econbiz.de/10013026905
We develop early warning models for financial crisis prediction using machine learning techniques on macrofinancial data for 17 countries over 1870–2016. Machine learning models mostly outperform logistic regression in out-of-sample predictions and forecasting. We identify economic drivers of...
Persistent link: https://www.econbiz.de/10012843879
types of regime switching models: threshold VAR and Markov switching VAR. For each of the models, we estimate regimes which …-of-sample forecasting exercises, and find that the threshold VAR model has the potential to predict tail events in conditional forecasting …
Persistent link: https://www.econbiz.de/10012984718
This paper applies algorithmic analysis to large amounts of financial market text-based data to assess how narratives and sentiment play a role in driving developments in the financial system. We find that changes in the emotional content in market narratives are highly correlated across data...
Persistent link: https://www.econbiz.de/10012925779
This paper applies algorithmic analysis to large amounts of financial market text-based data to assess how narratives and sentiment play a role in driving developments in the financial system. We find that changes in the emotional content in market narratives are highly correlated across data...
Persistent link: https://www.econbiz.de/10012930755
The endogenous evolution of liquidity risk is a key driver of financial crises. This paper models liquidity feedbacks in a quantitative model of systemic risk. The model incorporates a number of channels important in the current financial crisis. As banks lose access to longer-term funding...
Persistent link: https://www.econbiz.de/10013104540
We assess the impact of contingent convertible (CoCo) bonds and the wealth transfers they imply conditional on conversion on the risk-taking behaviour of the issuing bank. We also test for regulatory arbitrage: do banks try to maintain risk-taking incentives by issuing CoCo bonds, when...
Persistent link: https://www.econbiz.de/10013212056
We find that capital renting makes up one fifth of US capital expenditures, and it increases during downturns. Further, we present cross-country evidence that output losses after financial crises are smaller where renting is more prevalent. To understand these findings, we build a general...
Persistent link: https://www.econbiz.de/10013077502