1,721,129 research outputs found
European bank credit risk transmission during the credit Suisse collapse
No full textThe effect of Credit Suisse collapse on the credit risk spillover across banks is understudied and unclear. Using the tail-event and network dynamics framework on weekly data covering 15 large European banks from March 11, 2020 to March 28, 2023, we show that the credit risk has a strong spillover effect on major banks, increasing systemic risk significantly after the collapse of Credit Suisse. This is notable for non-EU (Swiss and UK) banks in the post-collapse era. The findings are useful for policymakers and regulators concerned with contagious credit risk and the stability of the banking sector under extreme events
How does climate policy uncertainty affect financial markets? Evidence from Europe
No full textThis study analyzes the time-varying effect of climate policy uncertainty (CPU) on the stock market and clean energy indices in the European context. For this purpose, we use the Bayesian time-varying parameter VAR model. The empirical results show that CPU shocks have a significant effect on the financial indexes. Returns on clean energy (crude oil) stocks increase (decrease) in response to heightened climate risk. Moreover, the COVID-19 pandemic is a relevant tipping point in CPU dynamics. These results offer important implications for European investors and policymakers in the context of the European climate-energy crisis
The heterogeneous reaction of green and conventional bonds to exogenous shocks and the hedging implications
No full textUnlike most previous studies considering the yields on green bonds versus conventional bonds or the hedging ability of green bonds against downside market risk, the main purpose of this paper is to paper examine the short-term response of green and conventional bonds to the Russia-Ukraine conflict shock and the US Federal monetary policy tightening. Using daily data from August 3, 2021 to March 29, 2022, this paper conducts an event-based study (Cumulative Abnormal Returns, CAR) and then applies a hedging analysis in the context of increasing geopolitical risk and financial stress. The analysis reveals that green bonds exhibit a stronger reaction to the Russia-Ukraine conflict and the US Federal rate hike than conventional, municipal, and treasury bonds in different time frames. Compared to conventional, municipal, and treasury bonds, green bonds offer lower negative CAR responses during the event window and the [-5, +5] period, suggesting a rigidity feature. The dynamic correlation and hedging analysis indicate that green bonds, unlike the other bonds indices, have a negative dynamic correlation with both geopolitical risks and financial stress, implying a hedging ability around the conflict shock and the Federal tightening cycle. These findings enrich the existing literature on green bonds, offering a wide range of applications for investment managers and policymakers
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Asymmetric volatility spillover among Chinese sectors during COVID-19
No full textInter-sectoral volatility linkages in the Chinese stock market are understudied, especially asymmetries in realized volatility connectedness, accounting for the catastrophic event associated with the COVID-19 outbreak. In this paper, we examine the asymmetric volatility spillover among Chinese stock market sectors during the COVID-19 pandemic using 1-min data from January 2, 2019 to September 30, 2020. In doing so, we build networks of generalized forecast error variances by decomposition of a vector autoregressive model, controlling for overall market movements. Our results show evidence of the asymmetric impact of good and bad volatilities, which are found to be time-varying and substantially intense during the COVID-19 period. Notably, bad volatility spillover shocks dominate good volatility spillover shocks. The findings are useful for Chinese investors and portfolio managers constructing risk hedging portfolios across sectors and for Chinese policymakers monitoring and crafting stimulating policies for the stock market at the sectoral level
From pandemic to systemic risk: contagion in the U.S. tourism sector
No full textThis paper investigates the interconnectedness among 95 tourism firms in the U.S. over the 2018–2020 period with a focus on the impact of the Covid-19 pandemic. The results using tail risk spillover analysis show that the level of risk contagion significantly increased during the Covid-19 pandemic. Small tourism firms become more systemically important during the Covid-19 pandemic while the level of bad risk contagion has a negative impact on the stock performance of US tourism firms
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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