Japan

With the coronavirus pandemic disrupting activity in Japan and worldwide, we expect GDP to record a sharp contraction in 2020. Domestic demand will fall rapidly as people stay at home while crumbling foreign demand and supply chain disruptions will hit manufacturers and exporters. We now expect GDP in 2020 to shrink 4.8%, compared to our January forecast of 0.3% growth, highlighting how quickly the pandemic and the containment measures have clouded the economic outlook in Japan and across the world. For 2021, we forecast GDP to grow 3.9%, with the now-postponed Tokyo Olympics providing a modest but welcome boost.     

COVID-19 crisis and the efficiency of Indian banks: Have they weathered the storm?

The purpose of this study is to determine whether Indian banks were able to weather the COVID-19 storm. We estimate banks’ deposits-generating and operating efficiencies using a two-stage directional distance function-based network data envelopment analysis (DDF-NDEA) approach and seek to capture the immediate impact of COVID-19 on these efficiency measures by comparing their magnitudes in the pre-pandemic (2014/15–2019/20), just 1-year prior to the pandemic (2019/20), and during the pandemic year (2020/21) periods. The study looks at whether the impact of the COVID-19 pandemic was uniform across ownership types and size classes. The empirical findings suggest that the Indian banking system was resilient and withstood the immediate impact of the COVID-19 pandemic. During the study period, however, the large and medium-sized banks experienced some efficiency losses. By and large, regardless of bank group, banks have shown resilience to the shock of the global health pandemic and improvements in efficiency.     

COVID-19, ESG investing,and the resilience of more sustainable stocks: Evidence from European firms

Following the COVID-19 outbreak, orientation toward sustainability is a critical factor in ensuring firm survival and growth. Using a large sample of 1,204 firms in Europe during the year 2020, this study investigates how more sustainable firms fare during the pandemic compared with other firms in terms of risk–return trade-off and stock market liquidity. We also highlight the drivers of the resilience of more sustainable firms to the pandemic. Particularly, we document that higher levels of cash holdings and liquid assets in the pre-COVID period help these firms to perform and absorb the COVID-19 externalities better than other firms. Our results are robust to a host of econometric models, including GMM estimations and several measures of stock market performance. These findings contribute to the theoretical and empirical debate on the role of the sustainability as a source of corporate resilience to unexpected shocks.     

Improving resilience of the healthcare supply chain in a pandemic: Evidence from Europe during the COVID-19 crisis

The severe scarcity of critical medical supplies caused by the COVID-19 pandemic led to considerable procurement challenges in the healthcare supply chain (HCSC). As ensuring the availability of such supplies during disruptions is critical, the debate on how to increase supply chain resilience in healthcare has gained new momentum. We present empirical evidence from a multi-tier case study spanning nine European medical supplies manufacturers and hospital groups. Based on the resource dependence theory, we investigated procurement-related strategies to improve medical supplies availability. We conducted semi-structured interviews with 39 procurement and supply chain management experts and derived seven propositions on buffering and bridging approaches for managing evolving resource dependencies and thereby strengthening supply chain resilience in a pandemic. Overall, we confirm the resource dependence theory's applicability for explaining companies' mitigation measures in a pandemic disruption. We find that bridging measures within the healthcare supply base, such as offering procurement support for suppliers or leveraging long-term buyer-supplier relationships, are more effective for securing medical supplies than buffering measures. Complementing bridging with buffering, such as extended upstream procurement or resource sharing among hospitals, can lead to superior risk mitigation as capacities of the present supplier base may not suffice. Furthermore, we extend the resource dependence theory by showing that the severity of disruptions caused by a pandemic triggers new forms of buffering external to the HCSC. Both traditional and new buffering measures establish novel flows of medical supplies in the HCSC that can enable higher supply security in a pandemic.     

Guest Editorial: A purchasing and supply management view of supply resilience for better crisis response

Purchasing and supply management (PSM) has been under great pressure since the COVID-19 pandemic first shook the world. Companies and public organizations faced new kinds of supply disruptions, and at a scale never seen before. New response abilities were required from PSM to address these challenges and disruptions. This Editorial introduces four articles in the Special Issue on “PSM learning from the pandemic: transforming for better crisis management.” These empirical contributions show how companies could build resilience to survive and be competitive during the COVID-19 pandemic. This Editorial discusses how supply resilience should be conceptualized in post-pandemic supply chains adopting a PSM perspective. We suggest that supply resilience practices should be developed and planned according to whether they strengthen existing supply chain relationships (bridging) or establish new ones (buffering) and whether they are short-term (temporary) or long-term (permanent) orientated. Furthermore, three supply resilience capabilities, absorbing, responding and capitalizing, should be prioritized in supply chains for responding to and recovering from global crises and disruptions. Supply resilience is key to crisis response and recovery, and PSM has an essential role in building and sustaining that resilience.     

Macroeconomic conditions and investment stimuli

Based on a calibrated real options model, this paper examines a tax-subsidy program offered by a government to stimulate corporate investment under business cycles. We derive and discuss optimal incentive policies for different states of the economy. We find that it is optimal for the government to offer a combination of tax cuts and lump-sum subsidy for stimulating levered firms’ investment under business cycles. Furthermore, the government should adopt counter-cyclical tax-subsidy policy, namely a higher (lower) tax cuts and a larger (smaller) lump-sum subsidy during recessions (booms). In particular, we provide a possible explanation why many governments around the world have reduced and even implemented negative interest rates to stimulate the economy during the COVID-19 pandemic in 2020. Finally, our conclusions also predict that the break-even tax-subsidy program always provides effective investment stimulus under business cycles.     

The pandemic and SME supply chains: Learning from early experiences of SME suppliers in the U.S. defense industry

While the COVID-19 pandemic has been disrupting supply chains in an unprecedented fashion, one type of firms that has been particularly affected are small- and medium-sized enterprises (SMEs). We focus on these SMEs, specifically on SME suppliers to the U.S. Department of Defense (DoD), and investigate the impact that the pandemic has had on these suppliers, as well as the effectiveness of various government procurement efforts to alleviate the challenges. In doing so, we rely on survey data collected by the National Defense Industry Association (NDIA) during the early stages of the pandemic in March and April 2020 to assess initial government responses and SME supplier receptions. To derive more granular insight, we scrutinize the results across firm size, dependence on the DoD, whether the SME is a first-tier supplier or not, and industry. Through this investigation, we for instance find that the weakest suppliers are the very small SMEs (1–49 employees), and that most government measures were judged to not be that effective—at least in these early stages of the pandemic. Overall, our study leverages insight from one of the few large-scale surveys conducted on the impact of the pandemic on SME suppliers and their relationship with government agencies in the very early phases of the pandemic.     

Interactions between investors’ fear and greed sentiment and Bitcoin prices

This paper examines the relationship between investor fear in the cryptocurrency market and Bitcoin prices by considering the potential effects of the ongoing COVID-19 pandemic during the period of May 5, 2018 and December 10, 2020. The existence of structural changes in the time series for the full sample reveals a non-constant causality between fear sentiment and Bitcoin prices, which leads us to apply a bootstrap rolling window Granger causality test. Our results show that both negative and positive interactions between fear sentiment and Bitcoin prices occur during several subperiods. The nature of these interactions changes significantly before and during the pandemic. Thus, we contribute to the fast-growing literature on the financial effects of the COVID-19 global pandemic, as well as to the debate on whether to classify Bitcoin as a new asset, speculative investment, currency, or safe haven asset.     

Industries' heterogeneous reactions during the COVID-19 outbreak: Evidence from Chinese stock markets

This study examines the heterogeneous effects of the COVID-19 outbreak on stock prices in China. We confirm what is already known, that the pandemic has had a significant negative impact on stock market returns. Additionally, we find, this effect is heterogeneous across industries. Second, fear sentiment can directly cause stock prices to fall and panic exacerbates the negative impact of the pandemic on stock returns. Third, and most importantly, we demonstrate the underlying mechanisms of four firm characteristics and find that those with high asset intensity, low labor intensity, high inventory-to-revenue ratio, and small market value are more negatively affected than others. For labor-intensive state-owned firms, in particular, stock performance worsened because of higher idle labor costs. Finally, we created an index to measure the relative position of an industry in the supply chain, which shows that downstream companies were more vulnerable to the effects of the pandemic.     

Benchmarking sustainable E-commerce enterprises based on evolving customer expectations amidst COVID-19 pandemic

The 2019 coronavirus disease (COVID-19) pandemic has seriously impacted the performance of all types of businesses. It has given a tremendous structural boost to e-commerce enterprises by forcing customers to online shopping over visiting physical stores. Moreover, customer expectations of the digital and operational capabilities of e-commerce firms are also increasing globally. Thus, it has become crucial for an e-commerce enterprise to reassess and realign its business practices to meet evolving customer needs and remain sustainable. This paper presents a comprehensive performance evaluation framework for e-commerce enterprises based on evolving customer expectations due to the COVID-19 pandemic. The framework comprises seven primary criteria, which are further divided into 25 sub-criteria, including two sustainability factors, namely, environmental sustainability and carbon emissions. The evaluation approach is then practically demonstrated by analyzing the case of three Indian e-commerce firms. The results are obtained using a multi-criteria decision-making (MCDM) method, namely, Fuzzy VIKOR, to capture the fuzziness of the inherent decision-making problem. Further, numerical analysis is conducted to evaluate and rank various e-commerce enterprises based on customer expectations and satisfaction benchmarks. The findings explain the most important criteria and sub-criteria for e-commerce businesses to ensure customer expectations along with their economic and environmental sustainability.     

Nowcasting food inflation with a massive amount of online prices

The consensus in the literature on providing accurate inflation forecasts underlines the importance of precise nowcasts. In this paper, we focus on this issue by employing a unique, extensive dataset of online food and non-alcoholic beverages prices gathered automatically from the webpages of major online retailers in Poland since 2009. We perform a real-time nowcasting experiment by using a highly disaggregated framework among popular, simple univariate approaches. We demonstrate that pure estimates of online price changes are already effective in nowcasting food inflation, but accounting for online food prices in a simple, recursively optimized model delivers further gains in the nowcast accuracy. Our framework outperforms various other approaches, including judgmental methods, traditional benchmarks, and model combinations. After the outbreak of the COVID-19 pandemic, its nowcasting quality has improved compared to other approaches and remained comparable with judgmental nowcasts. We also show that nowcast accuracy increases with the volume of online data, but their quality and relevance are essential for providing accurate in-sample fit and out-of-sample nowcasts. We conclude that online prices can markedly aid the decision-making process at central banks.     

A description of the COVID-19 outbreak role in financial risk forecasting

This study aims to describe the risk of the system composed on the market indexes of the countries that were more affected by COVID-19. Our sample encompasses the thirty-five countries with more cases and/or deaths caused by COVID-19 until November 2020. As a second contribution, we describe the risk of each market index individually. As a general pattern, we note that losses and individual and systemic risks peaked in March 2020. We verify that countries that were epicenters of the COVID-19 pandemic experienced critical levels of risk, which is partially explained by more stringent confinement measures since these are the ones whose labor markets will suffer more in the medium and long run. We perceived a market recovery, arguably due to the low-interest rates and expansive actions taken by central banks. Nonetheless, we also observed that the systemic risk returned to pre-pandemic levels at the end of 2020.     

World Economic Prospects Monthly

Overview: Outlook darkens as coronavirus spreads

• ▀ What began as a supply shock in China has morphed into something much more serious. The effects of financial market weakness and the disruption to daily life around the world will trigger lower consumer spending and investment on top of the disruptions to the global supply chain. We now expect global GDP growth to slow to 2.0% this year from 2.6% in 2019, before picking up to 3.0% in 2021. But a global pandemic would lead to a far bigger slowdown this year.
• ▀ China seems to have made progress in containing the spread of the coronavirus, but the slow return to business as normal has prompted us to cut year-on-year GDP growth in Q1 from 3.8% to 2.3%, the weakest in decades. But we expect a healthy growth rebound in Q2 which will also provide Asian economies with a lift.
• ▀ It is isolation policies not infection rates that determine the economic impact. Outbreaks around the world are leading authorities to announce a growing list of measures to curb the virus spread. At a global level any Q2 rebound will thus be small at best. We expect investment in the advanced economies as a whole to contract on a year-on-year basis in Q2 for the first time since the global financial crisis, while annual household spending growth may slow to its lowest since the eurozone crisis.
• ▀ Our baseline assumes that the global economy will return to business as usual in Q3 and that some catch-up will result in robust H2 GDP growth. Combined with favourable base effects in early-2021, this is expected to result in world GDP growth averaging about 3% in 2021.
• ▀ Since January, we have cut our 2020 global GDP growth forecast by a hefty 0.5pp. But larger revisions may be required if the disruption triggered by shutdowns and other responses to coronavirus proves longer than we assume currently or if more draconian actions are needed in the event of a global pandemic. Our scenarios suggest that the latter could push the global economy into a deep recession.

     

Dynamic volatility spillovers between industries in the US stock market: Evidence from the COVID-19 pandemic and Black Monday

We examine the volatility spillovers among various industries during the COVID-19 pandemic period. We measure volatility spillovers by defining the volatility of each sector in the S&P 500 index and implement a static and rolling-window analysis following the Diebold and Yilmaz (2012) approach. We find that the pandemic enhanced volatility spillovers, which reveals the financial contagion effects on the US stock market. Second, there were sudden, large changes in the dynamic volatility spillovers on Black Monday (March 9, 2020), much of it due to the energy sector shock. These findings have important implications for portfolio managers and policymakers.     

The transition of the global financial markets' connectedness during the COVID-19 pandemic

This study contributes to the literature on financial research under the presence of the COVID-19 pandemic. Fresh evidence emerges from using two novel approaches, namely network analysis and wavelet coherence, to examine the connectedness and comovement of financial markets consisting of stock, commodity, gold, real estate investment trust, US exchange, oil, and Cryptocurrency before and during the COVID-19 onset. Moreover, unlike the previous studies, we seek to fill a gap in the literature regarding the ex-post detection of COVID-19 crises and propose the Markov-switching autoregressive model to detect structural breaks in financial market returns. The first result shows that most financial markets entered the downtrend after January 30, 2020, coinciding with the date the World Health Organization (WHO) declared the COVID-19 pandemic as a Public Health Emergency of International Concern. Thus, it is reasonable to use this date as the break date due to COVID-19. The empirical result from network analysis indicates a similar connectedness, or the network structure, in other words, among global financial markets in both the pre-and during COVID-19 pandemic periods. Moreover, we find evidence of market differences as the MSCI stock market plays a central role while Cryptocurrency presents a weak role in the global financial markets. The findings from the wavelet coherence analysis are quite mixed and illustrate that the comovement of the financial markets varies over time across different frequencies. We also find the main and most significant period of coherence and comovement among financial markets to be between December 2019 and August 2020 at the low-frequency scale (>32 days) (middle and long terms). Among all market pairs, the oil and commodity market pair has the strongest comovement in both pre-and during the COVID-19 pandemic phases at all investment horizons.     

Fund immunity to the COVID-19 pandemic: Evidence from Chinese equity funds

This paper discusses the connection between public equity fund characteristics and performance reactions to COVID-19 using data over 1300 equity funds across 105 Chinese fund companies. Empirical evidences from over 20 fund characteristics show that the liquidity, diversification and pre-2020 Sharpe ratio, fund management abilities, agency costs can determine the fund immunity to COVID-19. Based on these characteristics mentioned, our empirical results can explain why COVID-19-induced drop in fund performance is milder among open-end funds, active funds, ETFs, and growth funds, and also can explain why funds controlled by private companies or by sino-foreign joint ventures or by companies with more independent directors of financial experiences perform better in the pandemic. Our work also provides some valuable suggestions for investors and regulators confronting an exogenous shock.     

Risk spillovers between cryptocurrencies and traditional currencies and gold under different global economic conditions

This paper applies a Diagonal BEKK model to investigate the risk spillovers of three major cryptocurrencies to ten leading traditional currencies and two gold prices (Spot Gold and Gold Futures). The daily data used are from 7 August 2015 to 15 June 2020. The dataset is analyzed in its entirety and is also subdivided into four distinct subsets in order to study and compare the patterns of spillover effects during economic turmoil, such as the 2018 cryptocurrency crash and the COVID-19 pandemic. The results reveal significant co-volatility spillover effects between cryptocurrency and traditional currency or gold markets, especially during the whole sample period and amid the uncertainty raised by COVID-19. The capabilities of cryptocurrency are time-varying and related to economic uncertainty or shocks. There are significant differences between normal and extreme markets with regard to the capabilities of cryptocurrency as a diversifier, a hedge or a safe haven. We find the significant co-volatility spillover effects are asymmetric in most cases especially during the COVID-19 pandemic period, which means the negative return shocks have larger impacts on co-volatility than positive return shocks of the same magnitude. Evidently, cryptocurrencies and traditional currencies or gold can be incorporated into financial portfolios for financial market participants who seek effective risk management and also for optimal dynamic hedging purposes against economic turmoil and downward movements.     

Animal Behavior in Capital markets: Herding formation dynamics,trading volume,and the role of COVID-19 pandemic

This paper provides new evidence on herding behavior. Using daily frequency data for 336 US listed firms over a five-year period, we investigate three important elements of financial herding behavior. First, trading volume, representing market interest, as a significant variable in capital markets apart from stock prices. Second, herding dynamics since herding formation is a dynamic process. Third, the reaction of possible financial herding to exogenous events-threats, as we use the pandemic event in order to investigate a market under stress. Even though the benchmark herding model used does not provide evidence of herding behavior, our results verify the significance of the above herding elements. We also find that trading volume and positive changes in trading volume result in increased cross-sectional absolute deviation (CSAD). Most importantly, we find that herding behavior is evident during the COVID-19 pandemic confirming that investors tend to herd during major crisis periods.     

The impact of rising EU Allowance prices on core inflation in the Eurozone

This article examines the impact of EU Allowance (EUA) prices on core inflation in the Eurozone between 2005 and 2022. The empirical results suggest that a positive shock to the EUA price led to higher long-run inflation expectations and core inflation. This implies that the rise in EUA prices can be passed on to consumers and enterprises, leading to an increase in production costs and consumer prices. And, while a positive shock to EUA prices may promote investment in renewable energy in the short term, the impact is not statistically significant and does not last long. The results suggest considerable potential for European policymakers to re-examine policy mechanisms to accelerate renewable energy investment and maintain price stability in the medium term.     

The persistent link between growing talent and growing the top line: lessons from fast-growing firms in the COVID-19 recession

We examined Fortune Magazine’s 100 Fastest Growing Companies of 2018 and found 32 firms still listed in Fortune’s updated 2019 list. The "Persistent 32" are still growing in the first half of 2020, as the COVID-19 recession continues. As a whole they have added to headcount over the long expansion (2013–2019) and continue to hire aggressively. We focus on how a commitment to building talent and growth sets them apart in this pandemic, how they represent a focus on human capabilities; how their investments contribute to organizational change and renewal; and how the leader plays new roles as marketplace insight visionary and chief safety officer. We draw lessons from the "Persistent 32" and outline steps top teams can take now to build talent and grow the firm.