The impact of the coronavirus crisis on the market price of risk
Ontology highlight
ABSTRACT:
SUBMITTER: Delis M
PROVIDER: S-EPMC7836246 | biostudies-literature |
REPOSITORIES: biostudies-literature
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| S-EPMC6303421 | biostudies-literature
Project description:This study examines the impact of global COVID-19 cases and oil price shocks on the stock markets in the GCC. Using the Kalman filter to generate the unexpected oil price shocks, we find that, with the exception of Oman, the GCC markets responded to positive and negative oil price shocks before and during the pandemic, with impacts of higher magnitude since March 11, 2020. We also find that the spread of global COVID-19 cases had in itself no meaningful impact on the GCC stock markets.
| S-EPMC8856895 | biostudies-literature
Project description:In light of the COVID-19 outbreak caused by the novel coronavirus, companies and institutions have instructed their employees to work from home as a precautionary measure to reduce the risk of contagion. Employees, however, have been exposed to different security risks because of working from home. Moreover, the rapid global spread of COVID-19 has increased the volume of data generated from various sources. Working from home depends mainly on cloud computing (CC) applications that help employees to efficiently accomplish their tasks. The cloud computing environment (CCE) is an unsung hero in the COVID-19 pandemic crisis. It consists of the fast-paced practices for services that reflect the trend of rapidly deployable applications for maintaining data. Despite the increase in the use of CC applications, there is an ongoing research challenge in the domains of CCE concerning data, guaranteeing security, and the availability of CC applications. This paper, to the best of our knowledge, is the first paper that thoroughly explains the impact of the COVID-19 pandemic on CCE. Additionally, this paper also highlights the security risks of working from home during the COVID-19 pandemic.
| S-EPMC7664361 | biostudies-literature
Project description:The intraday volatility effects of price-limit hits for stocks in the BIST-50 index during a volatile period are examined. Our evidence supports the volatility no-effect, dampening and spillover hypotheses depending on whether the lower or upper price limit is hit and on when the hit begins and ends. Post-hit volatilities tend to be lower for limit hits near the beginning of the first trading session, unchanged for those that transcend a trading session and for upper price-limit hits near the end of either trading session, and higher for lower price-limit hits near the end of either trading session. These results are robust using samples differentiated by cross-listed status, same-day news, equi-distant and trade-by-trade returns and volatility measures accounting for return-series autocorrelations. Our findings have implications for emerging markets planning to impose price-limit bands or to increase their efficacy.
| S-EPMC7260601 | biostudies-literature
Project description:BackgroundTen U.S. states, Canada, and Uruguay have passed laws to legalize the production and sale of cannabis for non-medical purposes. Available research has documented rapidly falling prices and changing product mixes, but many details are not well understood: particularly, the popularity, prices, and product characteristics of different cannabis edibles and extract-based products - each offering different ways to consume cannabis, with unclear health consequences.MethodsThis paper analyzes data from Washington's recreational cannabis market, which has recorded over 110 million retail item-transactions from July 2014 to October 2017. Previous research on price and product trends has focused mostly on herbal cannabis, which accounts for the majority, but a decreasing share, of sales. This paper applies advanced text-analytic methods to provide new insights, including (A) estimating potency data for edibles and (B) identifying extract sub-types. Patterns and trends are described, across product types, regarding THC and CBD profiles and price per THC.ResultsExtracts accounted for 28.5% of sales in October 2017. Of extracts categorized to subtype, nearly half were identified as "dabs", and another half "cartridges". In October 2017, price per 10 mg THC was roughly $3 among edibles, 70 cents among extract cartridges, and 30-40 cents for other flower and other extracts; solid concentrates offered the lowest priced THC among extract products. Price declines continue but have slowed. High-CBD chemovars are becoming more common, but still are almost non-existent in flower marijuana and rare (1% of sales) among extract products.ConclusionAs Washington's recreational cannabis market has developed over three and a half years, trends identified in that market may serve as an early indication of potential issues in other states. Legislators and regulators in other jurisdictions with commercial non-medical cannabis markets may wish to establish policies responsive to these trends in product popularity, price, and potency.
| S-EPMC7065937 | biostudies-literature
Project description:This article analyzes cross-country data encompassing 130 countries and regions from 2000 to 2019 to investigate the correlation between financial crises, labor market frictions, and economic volatility. The empirical findings demonstrate that financial crises have a milder impact on real gross domestic product (GDP) in developing countries with flexible labor markets. This trend also applies to non-eurozone developed countries, where labor market flexibility aids crisis mitigation. However, this pattern doesn't hold for eurozone countries. Further examination of developing nations reveals that those with heightened labor market flexibility tend to experience reduced adverse effects on non-tradable sectors, thereby mitigating the impact on real GDP.
| S-EPMC10538789 | biostudies-literature
Project description:Under uncertainty, human and animal collectives often respond stochastically to events they encounter. Human or animal individuals behave depending on others' actions, and sometimes follow choices that are sub-optimal for individuals. Such mimetic behaviors are enhanced during emergencies, creating collective behavior of a group. A stock market that is about to crash, as markets did immediately after the Lehman Brothers bankruptcy, provides illustrative examples of such behaviors. We provide empirical evidence proving the existence of collective behavior among stock market participants in emergent situations. We investigated the resolution of extreme supply-and-demand order imbalances by increased balancing counter orders: buy and sell orders for excess supply and demand respectively, during times of price adjustment, so-called special quotes on the Tokyo Stock Exchange. Counter orders increase positively depending on the quantity of revealed counter orders: the accumulated orders in the book until then. Statistics of the coming counter order are well described using a logistic regression model with the ratio of revealed orders until then to the finally revealed orders as the explanatory variable. Results given here show that the market participants make Bayesian estimations of optimal choices to ascertain whether to order using information about orders of other participants.
| S-EPMC4981415 | biostudies-literature
Project description:Cryptocurrencies are considered the latest innovation in finance with considerable impact across social, technological, and economic dimensions. This new class of financial assets has also motivated a myriad of scientific investigations focused on understanding their statistical properties, such as the distribution of price returns. However, research so far has only considered Bitcoin or at most a few cryptocurrencies, whilst ignoring that price returns might depend on cryptocurrency age or be influenced by market capitalization. Here, we therefore present a comprehensive investigation of large price variations for more than seven thousand digital currencies and explore whether price returns change with the coming-of-age and growth of the cryptocurrency market. We find that tail distributions of price returns follow power-law functions over the entire history of the considered cryptocurrency portfolio, with typical exponents implying the absence of characteristic scales for price variations in about half of them. Moreover, these tail distributions are asymmetric as positive returns more often display smaller exponents, indicating that large positive price variations are more likely than negative ones. Our results further reveal that changes in the tail exponents are very often simultaneously related to cryptocurrency age and market capitalization or only to age, with only a minority of cryptoassets being affected just by market capitalization or neither of the two quantities. Lastly, we find that the trends in power-law exponents usually point to mixed directions, and that large price variations are likely to become less frequent only in about 28% of the cryptocurrencies as they age and grow in market capitalization.
| S-EPMC10063656 | biostudies-literature
Project description:The dairy sector in the European Union (EU) has experienced policy changes and market shocks recently. Using the global vector autoregressive (GVAR) model, this paper explores regional market integration, the feedback between market shocks and price dynamics, and the link between EU's cheese export markets and energy market. This paper assesses and compares which influencing factors are typically associated with intra-EU and extra-EU cheese export price movement with regards to shocks to crude oil price, farm-gate raw milk price, and consumer price index (CPI) for food and cheese production of six representative EU member states, respectively. Using generalized impulse response functions, this paper finds that EU's internal cheese export market is not well integrated, while EU's external market is well integrated, with France as an exception. It also finds that the external cheese export market is vulnerable to shocks from the energy market compared to the internal market. Raw milk prices from the upstream supply chain have strong spill-over effects on EU's internal cheese export market, yet their impact on extra-EU cheese export prices is relatively less significant. The movement patterns of extra-EU cheese export prices of Ireland and the UK show similar patterns in the long run. It is concluded that the dynamics of cheese export prices in the internal and external markets of the EU are different under market shocks.
| S-EPMC8909711 | biostudies-literature
Project description:Coronavirus disease (COVID-19) has been declared as a pandemic by the World Health Organization (WHO).[...].
| S-EPMC7287678 | biostudies-literature