Using state-of-the-art recurrent neural network architectures, this study attempts to predict credit default swap risk premia for BR[I]CS countries as accurately as possible. In the time series setting, these recurrent neural networks are ELMAN, NARX, GRU, and LSTM RNNs, considering local and...

As the debt ceiling episode unfolds, we highlight a sharp increase in activity across the U.S. credit default swaps (CDS) market and infer the likelihood of a U.S. default from these market prices. Beginning in January 2023, we document a significant increase in U.S. CDS trading activity and...

We propose a credit portfolio approach for evaluating systemic risk and attributing it across institutions. We construct a model that can be estimated from high-frequency CDS data. This captures risks from publicly traded banks, privately held institutions, and coöperative banks, extending...

The paper investigates CDS spreads reaction to the type of issued bonds, green or conventional. We use an event study based on the CDS spreads reaction for the green bond issuance. First, we find that there is a green bond effect. That is, CDS spreads decline when a green bond is issued,...

Financial institutions are subject to many sources of risk, where risk often represents the degree of uncertainty about future net returns. Credit Risk can result in potential loss due to the inability of a counterparty to meet its obligations and is a function of the credit exposure, the...

This thesis focuses on the mechanics of microfinance collateralized debt obligations (MiCDOs) and outlines crucial risk factors for international investors and microfinance institutions (MFIs), in contrast to already established collateralized debt obligations (CDO) and their rating systems. Due...

This paper explores whether different funding structures – including the source, instrument, currency, and counterparty location of funding – affected the extent of financial stress experienced in different countries and sectors during the early stages of the Covid-19 pandemic. We measure...