Effectiveness of policy interventions during financial crises in China and Russia: Lessons for the COVID-19 pandemic

Singh, Vikkram; Roca, Eduardo; Li, Bin

doi:10.1016/j.jpolmod.2021.01.004

Cited by 25 publications

(14 citation statements)

References 50 publications

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“…They concluded that the study proposed a policy classification framework and a new global database for developing economies across 155 jurisdictions. Singh et al ( 2021 ) examined the response of stock market returns and the policy interventions of China and Russia during the COVID-19 pandemic period using event study methodology alongside DCC-GARCH and Markov regime switching (MRS) models, and the study concluded that policy interventions were effective in China but failed in Russia. Wolfe and Patel ( 2021 ) analyzed the relationship between financial worries and well-being among self-employed during the COVID-19 pandemic using survey and ordinary least squares, and the study results found a fall in income (higher than expectation) mediates the association between happiness and self-employment.…”

Section: Discussionmentioning

confidence: 99%

“…Rao et al ( 2021 ) carried out a comprehensive study to document eighteen empirical studies on COVID-19 and financial markets to examining pandemics’ contagious effect. Singh et al ( 2021 ) examined the response of stock market returns and the policy interventions of China and Russia during the COVID-19 pandemic. They found that policy interventions were effective in China but failed in Russia.…”

Section: Literature Reviewmentioning

confidence: 99%

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Assessment of sustainable green financial environment: the underlying structure of monetary seismic aftershocks of the COVID-19 pandemic

Abbass

Niazi

et al. 2022

Environ Sci Pollut Res

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The study aims to assess a sustainable green financial environment by exploring the underlying structure of monetary seismic aftershocks of the COVID-19 pandemic. This study is qualitative and uses a review of literature, primary data collection methods, and qualitative analysis techniques as the study’s overall design. The data is collected by one-to-one interview using a matrix style questionnaire from a panel of experts based on the purposive sampling technique. Interpretive structural modeling (ISM) combined with Matrices’ Impacts Cruise’s Multiplication Appliquée a UN Classement (MICMAC) is used for assessment, modeling, and analysis of data. The monetary aftershocks, namely, “more cash in hand required,” “decreased travel costs,” “shift to more certain or fixed revenue streams,” “lower rent costs,” “more zealous monitoring of cash collection cycle,” and “decreased entertainment costs,” occupy level I (top of the model being least critical shocks), and “tedious regulations” occupy level VIII (bottom of the model being the most vital) . Other aftershocks form the middle of the model being moderate critical. Analysis of MICMAC shows that monetary seismic aftershocks high fees for assistance regarding SOPs, tedious regulations, and more downtime due to pandemic alerts are independent. This study addresses the core issue from within the aftermath of the COVID-19 pandemic. It provides new important information regarding the structure of a sustainable green financial environment that is useful for economists, financial analysts, commercial and central bankers, accountants and finance managers from the organization’s public/and private sectors, local and international community, and researchers of the domain. It provides an informative structural model and classification of critical aftershocks. There are specific data/methodological/resource-related limitations of the study. The study’s data are collected from a focus group; the study’s methodology is qualitative and indicates relations among variables that do not quantify the associations. The study is a typical initiative of academic researchers with limited financial/physical resources; therefore, the generalizability of the study results is accordingly limited. The study is based on original, essential data and innovatively and creatively approaches the problem. It provides a unique model of an unprecedented phenomenon for reverberating the sustainable green financial environment.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Assessment of sustainable green financial environment: the underlying structure of monetary seismic aftershocks of the COVID-19 pandemic

Abbass

Niazi

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“… Singh et al (2021) showed that the response of stock market returns to policy interventions was less effective in countries when markets are integrated. Even with that caveat in mind, our results suggest that government policies must take into account and monitor specially health-related news at global level, since they can have enormous impacts on portfolio allocations on stock markets, in order to take more informed decisions.…”

Section: Discussionmentioning

confidence: 99%

The influence of extreme events such as Brexit and Covid-19 on equity markets

Iglesias

2022

Journal of Policy Modeling

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“…Further, the authors documented the positive impact on equity returns from the stimulus announcement. Singh et al ( 2021 ) studied the role of global market linkages on the effect of policy interventions on equity return and volatility in the context of Russia and China. The policy interventions were found to be effective in China but failed in Russia.…”

Section: Literature Reviewmentioning

confidence: 99%

The policy response to COVID‐19 pandemic and its impact on the equity market sentiment: The Indian experience

Bhattacharjee

2022

Journal of Public Affairs

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We examine the dynamics of the impact of the evolving policy response during the COVID‐19 pandemic on the equity market sentiment in India. We operationalise our study by examining the India VIX, the fear gauge of the Indian equity market as an indicator for the market sentiment, and the country level Government Response Index of the Blavatnik School of Government, Oxford University as an indicator for the policy response. The relation is examined through the Markov‐switching model using high‐frequency daily data from January 30, 2020, to May 31, 2021. The evidence suggests that the policy response has a positive impact on the market sentiment when the market is fearful. Further, the evidence suggests that both the high‐fear state and the low‐fear state of the market sentiment given by the model are short‐lived indicating heightened volatility and possible speculation during the ongoing pandemic in the Indian equity market.

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Effectiveness of policy interventions during financial crises in China and Russia: Lessons for the COVID-19 pandemic

Cited by 25 publications

References 50 publications

Assessment of sustainable green financial environment: the underlying structure of monetary seismic aftershocks of the COVID-19 pandemic

Assessment of sustainable green financial environment: the underlying structure of monetary seismic aftershocks of the COVID-19 pandemic

The influence of extreme events such as Brexit and Covid-19 on equity markets

The policy response to COVID‐19 pandemic and its impact on the equity market sentiment: The Indian experience

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