Global banking stability in the shadow of Covid-19 outbreak

Elnahass, Marwa; Trinh, Vu Quang; Li, Teng

doi:10.1016/j.intfin.2021.101322

Cited by 226 publications

(277 citation statements)

References 49 publications

Supporting

Mentioning

217

Contrasting

Unclassified

Order By: Relevance

“…This step is important because these functions govern the behaviour of the aforementioned agents. In the crisis period, we propose a baseline scenario, given the measures proposed by Elnahass et al (2021) which we extend using the LSTM process described in Section 3.2.2 . This algorithm can also produce scenarios for extreme outcomes, using the neural network’s bias coefficient, which we implement in order to perform scenario analysis.…”

Section: Methodology and Datamentioning

confidence: 99%

“…Even though output losses of the current crisis are already the subject of numerous papers ( Baker et al, 2020 , Maliszewska et al, 2020 , Makridis and Hartley, 2020 , Yang et al, 2020 ), the effects on the banking sector have not been examined thoroughly. In addition, most researchers focus on the immediate losses ( Elnahass et al, 2021 , Zaremba et al, 2021 ), while we focus on the next day and the policies that should be implemented to restore economic systems back on a positive track. We postulate that commonly suggested policies, such as demand or supply stimuli (OEAD, 2020), carry a significant burden to public finances and suggest that authorities should loosen regulatory capital requirements for banks.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Secondly, we compare the potential outcomes of different policies that can be used to tackle the current crisis and propose the optimal policy according to different scenarios. We compute household utility and firm production functions using a Random Regression Forest (RRF) process on data from the United States and estimate predictions on bank stability using a Long Short Term Memory (LSTM) neural network on stability indicators proposed by Elnahass et al (2021) . We then feed these results into an agent-based model in order to demonstrate the possible economic and financial effects of the COVID-19 crisis and examine the outcome of possible government policies aimed at restarting the economy.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Economic stimulus through bank regulation: Government responses to the COVID-19 crisis

Polyzos

Samitas

Kampouris

2021

Journal of International Financial Markets, Institutions and Mo

View full text Add to dashboard Cite

In this paper, we estimate the effects of the COVID-19 pandemic on the banking system and the real economy and simulate potential policy responses. We combine machine learning algorithms, namely a Random Regression Forest and a Long Short Term Memory neural network, with an agent-based framework to calculate the expected results of the pandemic, according to different scenarios regarding financial stability. We then simulate government responses to this crisis and find that traditional demand and supply stimuli are outperformed by our suggestion of relaxing bank regulation. We examine two alternatives of our suggested policy and find that they result in optimised outcomes for most variables examined. Our findings have important policy implications as authorities are formulating post-crisis recovery plans amidst budgetary constraints.

show abstract

Section: Methodology and Datamentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Economic stimulus through bank regulation: Government responses to the COVID-19 crisis

Polyzos

Samitas

Kampouris

2021

Journal of International Financial Markets, Institutions and Mo

View full text Add to dashboard Cite

show abstract

“…The outcomes documented that the sector was severely affected due to a drop in population mobility and quarantine policy which led to a sharp change in consumers behavior. Also, countries lockdown and airports and borders' closure placed a significant strain on the global supply chains (Elnahass et al 2021;Shen et al 2020). Interestingly, Yadav et al (2020) examined the rule of Internet of Things (IoT) in overriding disasters such as COVID 19 (Table 10).…”

Section: Cluster 3: Reshoring Backshoring and Offshoringmentioning

confidence: 99%

Thirteen years of Operations Management Research (OMR) journal: a bibliometric analysis and future research directions

et al. 2021

View full text Add to dashboard Cite

The journal of Operations Management Research (OMR) is a rigorous journal that started its publication in 2008. It publishes short, focused research studies that advance both the theory and practice of operations management. Considering the relevant OMR's contribution to the field of Operations Management in the last years, this study provides an overall assessment of the journal performance by conducting a retrospective review. To elaborate on OMR's temporal development in terms of publications, authors, affiliated institutions and countries, citation patterns, and conceptual structure, we extract publications from Scopus database for the period 2008-2020. We rely on bibliometric techniques in addition to bibliographic coupling, keyword analysis, and content analysis. 166 documents were analyzed using RStudio, VOSviewer, and Microsoft Excel. Findings emphasize OMR's steady productivity growth (3.24%). Narrowly, Olhager J. is the most productive authors while Kalchschmidt M. and Stentoft J. are the most influential authors (H-index of 4). Furthermore, USA contributes to the highest number of publications while UK is the most influential country in terms of citations. Cranfield School of Management, UK stands as the top cited university. The analysis of the thematic evolution concludes to three main clusters: "Manufacturing and Supply chain Performance", "Six Sigma and Lean Management", and "Reshoring, Backshoring and Offshoring". This study recommends to further investigate the implications of the fourth industrial revolution and the sequels of COVID-19.

show abstract

“…Banks have taken measures to retract from supervisory COVID-19 support measures without perils for financial stability (Haselmann, & Tröger, 2021). Now, recovery signals for bank stability during the second quarter of 2020 (Elnahass, Trinh, & Li, 2021). However, the literature is almost absent on the impact of the COVID-19 crisis on brand equity.…”

Section: Source: Interbrandmentioning

confidence: 99%

Mapping the strategic landscape for global financial institutions through brand equity trend analysis

Bajwa¹,

Siddiqui²,

Eltayeb³

et al. 2021

JESI

View full text Add to dashboard Cite

This paper aims to present the strategic landscape for global financial institutions through a trend analysis for Interbrand's top 100 global brands. The study used longitudinal data of 20 years (2001 to 2020) from the top 100 global brands published by Interbrand annually. Analyses are based on Interbrand's brand equity ($ millions), annual brand ranking, and annual growth in brand equity using descriptive statistics. This research provides three significant findings. Firstly, it supports the country of origin's effect on top Financial Institutions. American financial institutions were always ahead of financial institutions from other countries. European banks have a relatively higher growth rate. Secondly, this research proposes three clusters of global financial institutions. Leaders include financial institutions that appeared in Interbrand's Global brand list for at least 15 years during 2001-2020 and having minimum brand equity of USD 8.0 billion in 2020. Challengers include financial institutions that appeared in Interbrand's global brand list for at least five years during 2001-2020; and having minimum brand equity of USD 7.0 billion in 2020. Extinct include financial institutions that appeared in Interbrand's global brand list at least once during 2001-2020 but not listed for the last eight years. Finally, this paper presents the effects of the global financial crisis ( 2008) and global pandemic (2020) on financial institutions. The global financial crisis (2008-9) deeply affected the global banking industry. Many banks were forced to close, and governments had to bail them out. The financial stocks were crushed, and many of them were slashed. The collapse of the US financial system caused many investors to lose their money. The brand equity of financial institutions has the most significant decline. While the global pandemic crisis (2019-20) completely halted the world's economy for many months, the bank's brand equity was not severely affected. Although in 2019-20, there was a decline in the growth rate of the financial sector's brand equity compared to all other sectors, the cumulative brand equity of the financial sector was constantly on the rise. These findings have implications for practitioners and academicians to understand better the underlying patterns and changes in top global financial institutions' brand equity and devise the appropriate strategies. In addition, the findings invite future research on probing the reasons behind the drastic changes in the brand equity of various global financial institutions in the last two decades.

show abstract

Global banking stability in the shadow of Covid-19 outbreak

Cited by 226 publications

References 49 publications

Economic stimulus through bank regulation: Government responses to the COVID-19 crisis

Economic stimulus through bank regulation: Government responses to the COVID-19 crisis

Thirteen years of Operations Management Research (OMR) journal: a bibliometric analysis and future research directions

Mapping the strategic landscape for global financial institutions through brand equity trend analysis

Contact Info

Product

Resources

About