We propose a distress measure for national banking systems that incorporates not only banks' CDS spreads, but also how they interact with the rest of the global financial system via multiple linkage types. The measure is based on a tensor decomposition method that extracts an adjacency matrix...

Absence-of-Arbitrage (AoA) is the basic assumption underpinning derivatives pricing theory. As part of the OTC derivatives market, the CDS market not only provides a vehicle for participants to hedge and speculate on the default risks of corporate and sovereign entities, it also reveals...

We propose a distress measure for national banking systems that incorporates not only banks' CDS spreads, but also how they interact with the rest of the global financial system via multiple linkage types. The measure is based on a tensor decomposition method that extracts an adjacency matrix...

The present study investigates the integration of environmental, social, and gover-nance (ESG) scores constructed from company misconduct and incident data intothe systematic investment process for equities. These ESG scores are used to set upvarious ESG investment strategies: From best-in-class...

Recent academic studies have shown that since the mid-nineties, the pass-through of exogenous oil shocks into headline inflation has been increasing while the pass through into core inflation seems to have ceased. This paper explores the implications in terms of commodity allocation for...

In this paper we test whether the co-movement of sovereign CDS premia increased significantly after the Greek debt crisis started in October 2009. We perform a bivariate test for contagion that is based on an approach proposed by Forbes and Rigobon (2002). Our sample consists of daily data...

Using the GJR-GARCH method, this study examines the safe-haven role of gold, US dollar, and Bitcoin over a period including the global financial crisis, the COVID-19 pandemic and the Russia-Ukraine conflict from 3 April 2006 to 19 May 2023. The study supports the hypothesis that the safe-haven...

We construct a network-based turbulence score that proves useful for analyzing the relationship between financial interconnectedness, and global market risk, and for identifying systemically important markets, with the highest contribution to financial turbulence. We apply our measure to study...

This paper is related to the work of Patton (2011), who proposed the required robust loss functions MSE and QLIKE for imperfect fluctuations in the proxy variables, as well as the use of GW and MCS test for statistical analysis. In the same volatility model, the use the GW test pairing for...

The current global COVID-19 pandemic is adversely affecting the oil market (West Texas Intermediate) and crypto-assets markets. This paper empirically investigates the extent to which interdependence in markets may be driven by COVID-19 effects. We fit copulas to pairs of before and after...