Firm Size and Financing Behavior during COVID-19 Pandemic: Evidence from SMEs in Istanbul

This paper examines how small and medium-size enterprises (SMEs) in Istanbul managed their financial needs during the COVID-19 pandemic. A unique survey was conducted in May–June 2021 to analyze the effect of the pandemic on financial conditions and access to finance. The paper maps the differences between firms in terms of their financing conditions and behavior based on their size during the pandemic. The novel data set helps to conceptualize the impact of the COVID-19 pandemic on SMEs. The paper makes a contribution to the literature through using a large number of variables related to firms' financial conditions and opportunities (e.g., credit restructuring, debt postponing, capital injection). The paper hypothesizes that SMEs are less likely than large firms to access formal finance opportunities, but they tend to rely more on informal financing. The empirical findings suggest that, during the pandemic, micro and small firms tend to borrow more from their acquaintances, such as relatives and friends. Micro firms are less likely to restructure their outstanding loans, borrow from banks, or inject capital. Furthermore, micro firms tend to cut their costs more to avoid further difficulty in their financiaVl positions. Micro and small firms tend to apply for bank loans less than large firms, while medium-size firms are more likely to apply. Micro and small firms are more inclined to report difficulty in accessing credit.

The spillover effects of the COVID-19 pandemic: Which subsectors of tourism have been affected more?

This paper investigates the effects of COVID-19 pandemic-related uncertainty focusing on the US tourism subsectors, including airlines, hotels, restaurants, and travel companies. Using daily stock price data, we compute connectedness indices that quantify the financial distress in the tourism and hospitality industry and link these indices with a measure of COVID-19-induced uncertainty. Our empirical results show that some subsectors of tourism are affected more than others. The connectedness of tourism companies has severely increased after March 2020. Restaurants are the most heavily influenced subsectors of tourism, while airline companies come the next. Besides, our quantile regression suggests that higher quantile COVID-19 uncertainty index has more effect on the connectedness of tourism companies. Our results guide the policymakers and investors to detect the stress accumulated in each subsectors of tourism and to take more informed and timely decisions.

Fi*rm Size and Financing Behavior during the COVID-19 Pandemic: Evidence from SMEs in Istanbul

This paper examines how small and medium-size enterprises (SMEs) in Istanbul managed their financial needs during the COVID-19 pandemic. A unique survey was conducted in May–June 2021 to analyze the effect of the pandemic on financial conditions and access to finance. The paper maps the differences between firms in terms of their financing conditions and behavior based on their size during the pandemic. The novel data set helps to conceptualize the impact of the COVID-19 pandemic on SMEs. The paper makes a contribution to the literature through using a large number of variables related to firms' financial conditions and opportunities (e.g., credit restructuring, debt postponing, capital injection). The paper hypothesizes that SMEs are less likely than large firms to access formal finance opportunities, but they tend to rely more on informal financing. The empirical findings suggest that, during the pandemic, micro and small firms tend to borrow more from their acquaintances, such as relatives and friends. Micro firms are less likely to restructure their outstanding loans, borrow from banks, or inject capital. Furthermore, micro firms tend to cut their costs more to avoid further difficulty in their financial positions. Micro and small firms tend to apply for bank loans less than large firms, while medium-size firms are more likely to apply. Micro and small firms are more inclined to report difficulty in accessing credit.

Blockchain-Based Solutions in Achieving SDGs after COVID-19

In this paper, we attempt to explore the extent to which the hard won development gains over the last several years could be reversed due to the unfolding COVID-19 global pandemic, how we can reboot the global response to accelerate the SDGs in times of uncertainties, and most importantly how to turn the recovery into an opportunity to build back better and more resilient economies. To do so, we examine the case of blockchain as one of the emerging innovative work-streams in development practices that could lead the way forward and pave the path for new developmental narratives as we all navigate the uncharted territories of the new digital age. This paper provides useful insights about the underlying dynamics underpinning the adoption of blockchain backed-solutions for sustainable development, and it showcases some of the promising use-cases being developed through trial-and-error experiments by its early adopters. The paper offers a deep dive into a burgeoning development practice in search of disrupting business-as-usual to solve increasingly complex development challenges by mainstreaming innovations such as blockchain-enabled solutions to rethink the ways in which development solutions are being delivered across the SDG spectrum. This work points to the significant potential of blockchain technology as a game changer in solving some of the most pressing issues hindering the global recovery post Covid-19 to transition towards greener and more inclusive economies. Nevertheless, we also stress that the hype-cycle behind the "let's blockchain it” trend does not mean that blockchain-backed solutions are necessarily superior to other alternatives which might be less costly and less technical in nature. Development practitioners prototyping and implementing blockchain-based solutions for sustainable development can utilize these insights and discussions to make informed decisions in their journey to harness the disruptive potential of blockchain alone or in tandem with other emerging technologies in the new world of business as unusual.

How connected is the agricultural commodity market to the news-based investor sentiment?

Previous studies indicate a substantial time-variation in the co-movement of commodity futures markets and economic fundamentals. This paper examines the connectedness and directional spillovers for both the agricultural commodity futures markets and the corresponding sentiment indices. We first construct dynamic time-varying connectedness measures both for the agricultural commodity returns and sentiments. Then, we use panel data regressions and time-varying Granger causality tests to evaluate whether the spillovers between these returns and sentiments are influenced by the economic and financial uncertainties, including the global COVID-19 pandemic. In particular, we document that the COVID-19 induced uncertainty influences agricultural commodity returns and sentiments significantly around the first cycle of the pandemic in 2020. Last but not least, economic policy and financial market uncertainty are also found to be significant determinants of the connectedness between agricultural commodity returns and sentiment spillovers.

Bitcoin-specific fear sentiment matters in the COVID-19 outbreak

PurposeThis study aims to investigate the effect of fear sentiment with a novel data set on Bitcoin’s (BTC) return, volatility and transaction volume. The authors divide the sample into two subperiods to capture the changing dynamics during the COVID-19 pandemic.Design/methodology/approachThe authors retrieve the novel fear sentiment data from Thomson Reuters MarketPsych Indices (TRMI). The authors denote the subperiods as pre- and post-COVID-19 considering January 13, 2020, when the first COVID-19 confirmed case was reported outside China. The authors use bivariate vector autoregressive models given below with lag-length k, to investigate the dynamics between BTC variables and fear sentiment.FindingsBTC market measures have dissimilar dynamics before and after the Coronavirus outbreak. The results reveal that due to the excessive uncertainty led by the outbreak, an increase in fear sentiment negatively affects the BTC returns more persistently and significantly. For the post-COVID-19 period, an increase in fear also results in more fluctuations in transaction volume while its initial and cumulative effects are both negative. Due to extreme uncertainty caused by the COVID-19 pandemic, investors may trade more aggressively in the initial phases of the shock.Practical implicationsThe authors are convinced that the results in this paper have more far-reaching implications for other markets regulated by the states. BTC provides a natural benchmark to understand how fear sentiment drives and impacts the markets isolated from any interventions. Hence, the results show that in the absence of regulatory frameworks, market dynamics are likely to be more volatile and the fear sentiment has more persistent impacts. The authors also highlight the importance of using micro, asset-specific sentiment measures to capture market dynamics better.Originality/valueBTC is not associated with any regulatory authority and is not produced by the governments and central banks. COVID-19 as a natural experiment provides an opportunity to explore the pure effects of market sentiment on BTC considering its decentralized and unregulated features. The paper has two main contributions. First, the authors use BTC-specific fear sentiment novel data set of TRMI instead of more general market sentiments used in the existing studies. Next, this is the first study to examine the association between fear and BTC before and after COVID-19.

The spillover effects of the COVID-19 pandemic: Which subsectors of tourism have been affected more?

This paper investigates the effects of COVID-19 pandemic-related uncertainty focusing on the US tourism subsectors, including airlines, hotels, restaurants, and travel companies. Using daily stock price data, we compute connectedness indices that quantify the financial distress in the tourism and hospitality industry and link these indices with a measure of COVID-19-induced uncertainty. Our empirical results show that some subsectors of tourism are affected more than others. The connectedness of tourism companies has severely increased after March 2020. Restaurants are the most heavily influenced subsectors of tourism, while airline companies come the next. Besides, our quantile regression suggests that higher quantile COVID-19 uncertainty index has more effect on the connectedness of tourism companies. Our results guide the policymakers and investors to detect the stress accumulated in each subsectors of tourism and to take more informed and timely decisions.

Blockchain-Based Solutions in Achieving SDGs after COVID-19

In this paper, we attempt to explore the extent to which the hard won development gains over the last several years could be reversed due to the unfolding COVID-19 global pandemic, how we can reboot the global response to accelerate the SDGs in times of uncertainties, and most importantly how to turn the recovery into an opportunity to build back better and more resilient economies. To do so, we examine the case of blockchain as one of the emerging innovative work-streams in development practices that could lead the way forward and pave the path for new developmental narratives as we all navigate the uncharted territories of the new digital age. This paper provides useful insights about the underlying dynamics underpinning the adoption of blockchain backed-solutions for sustainable development, and it showcases some of the promising use-cases being developed through trial-and-error experiments by its early adopters. The paper offers a deep dive into a burgeoning development practice in search of disrupting business-as-usual to solve increasingly complex development challenges by mainstreaming innovations such as blockchain-enabled solutions to rethink the ways in which development solutions are being delivered across the SDG spectrum. This work points to the significant potential of blockchain technology as a game changer in solving some of the most pressing issues hindering the global recovery post Covid-19 to transition towards greener and more inclusive economies. Nevertheless, we also stress that the hype-cycle behind the “let’s blockchain it” trend does not mean that blockchain-backed solutions are necessarily superior to other alternatives which might be less costly and less technical in nature. Development practitioners prototyping and implementing blockchain-based solutions for sustainable development can utilize these insights and discussions to make informed decisions in their journey to harness the disruptive potential of blockchain alone or in tandem with other emerging technologies in the new world of business as unusual.

Bitcoin and Altcoins Price Dependency: Resilience and Portfolio Allocation in COVID-19 Outbreak

The main aim of this article is to examine the inter-relationships among the top cryptocurrencies on the crypto stock market in the presence and absence of the COVID-19 pandemic. The nine chosen cryptocurrencies are Bitcoin, Ethereum, Ripple, Litecoin, Eos, BitcoinCash, Binance, Stellar, and Tron and their daily closing price data are captured from coinmarketcap over the period from 13 September 2017 to 21 September 2020. All of the cryptocurrencies are integrated of order 1 i.e., I(1). There is strong evidence of a long-run relationship between Bitcoin and altcoins irrespective of whether it is pre-pandemic or pandemic period. It has also been found that these cryptocurrencies’ prices and their inter-relationship are resilient to the pandemic. It is recommended that when the investors create investment plans and strategies they may highly consider Bitcoin and altcoins jointly as they give sustainability and resilience in the long run against the geopolitical risks and even in the tough time of the COVID-19 pandemic.