A Framework of Resilience for Peer-to-Peer Accommodation Hosts Under COVID-19

The pandemic has hit the tourism industry in various ways. P2P accommodation (P2PA) is one of most disrupted sectors. Different types of P2PA hosts are confronting different levels of challenges. From an angle of social equity, the study adopted a resilience model to examine the resilience of P2PA hosts’ business during the first COVID outbreak in Florida, USA. Statistical results show P2PA hosts’ business resilience negatively associates with their housing liability and hosting experience. Social superiority in owning more assets can be a defect in coping with COVID crisis. P2PA operators need to maintain an appropriate level of financial flexibility when faced with the threat of COVID outbreaks. We suggest the government and industrial organizations to distinguish the types of P2PA operators when carrying out rescue plans for the industry.

Family ownership and the export performance of SMEs: the moderating role of financial constraints and flexibility

PurposeThis article investigates the relationship between family ownership and export performance in the context of SMEs while also considering the moderating role of the financial dimension and, in particular, financial constraints and financial flexibility.Design/methodology/approachWe select a sample of 1,132 Italian SMEs to examine through an econometric analysis the role and impact of family ownership and the financial moderating variables being used on their export performance.FindingsThe results indicate that there is a U-shaped relationship between family ownership and export performance: the highest levels of export performance correspond to the lowest and highest family ownership levels, whereas when a mixture of family and nonfamily ownership exists, the performance suffers because of “conflicting voices” dominating strategic visions and approaches, harming the firm's export commitment. Moreover, the findings show that lower financial constraints and/or stronger financial flexibility improve the relationship between family ownership and export performance.Research limitations/implicationsOur findings show that the ownership structure is important for export performance; in particular, firms should avoid a mixture between family and nonfamily ownership because it is detrimental to export performance. Moreover, Italian SMEs need to develop sources of financing other than the banking channel, and policy makers should favour this process to overcome financial constraint problems and improve financial flexibility. Limitations concern the use of other econometric approaches and measurement variables to further investigate the connection between family ownership and export performance.Originality/valueThe present study enhances the comprehension of the complex relationship between family ownership and export performance by documenting the relevance of the level of family ownership and considering the moderating role of financial constraints and flexibility.

Tanggung Jawab Sosial Dan Risiko Sistematis: Efek Moderasi Dari Fleksibilitas Keuangan Dan Investasi Penelitian Dan Pengembangan

The study is conducted with the aim of examining the effect of corporate social responsibility on systematic risk in companies listed on the IDX for the period of 2016-2020. This study adds financial flexibility and research and development investment as moderators which are still remain unexplored in Indonesia. This research is expected to be able to make investors consider social responsibility as a factor in making investment decisions. The data taken are stock prices, annual reports and sustainability reports which are secondary data. Data collection using purposive sampling method with certain criteria so that the number of samples in this study amounted to 43 companies. In testing the hypothesis using panel data regression analysis techniques with eviews. The results of the regression analysis show that the existence of corporate social responsibility has a significant positive effect on systematic risk. The moderating variable of financial flexibility does not affect the relationship between CSR and systematic risk. Then the research and development investment variables weaken the relationship between CSR and systematic risk. Therefore, management is expected to pay attention to R&D investment in making CSR policies. This study explains that R&D investment is one of the important roles in company sustainability.

Convex-concave effect of financial flexibility on hospitality performance: quantile regression approach

Purpose The purpose of this paper is to study the influence of financial flexibility (FF) on enterprise performance (EP) within Taiwan’s hospitality industry during the COVID-19 shock and explore whether EP varies with hospitality industry characteristics. Design/methodology/approach Secondary data of 39 Taiwan Stock Exchange-listed hospitality firms were collected from the Taiwan Economic Journal databases. Quantile regression analysis was applied to examine the FF-EP relationship Findings The results evidence that there is a U-shaped (convex) FF-EP relationship for hospitality firms in the 10th, 25th and 50th Tobin’s Q quantiles and in asset-heavy firms. For asset-light firms, FF has an inverted U-shaped (concave) effect on EP in the 90th Tobin’s Q quantile Practical implications The empirical results highlight the need for Taiwan’s hospitality industry as a whole to take rolling adjustment and optimization of FF and concentrate on liquidity risk management after the COVID-19 pandemic and for long-term sustainability. Originality/value To the best of the authors’ knowledge, this study is one of the first to examine the nonlinear FF-EP relationship in the hospitality industry of Taiwan, particularly amid the COVID-19 shock. Moreover, this study extends current literature by revealing the hospitality industry’s FF-EP relationship and highlights the importance of the pandemic crisis context.

Analysis of Floating Rate Bonds and the Firm Characteristics

We examine the security and firm characteristics of a sample of 2,027 non-convertible investment grade floating rate securities (bonds) issued by the US based firms between 1980 and 2018. These bonds pay a coupon based on short term reference rate, such as fed funds rate, plus a fixed quoted margin. Considerable number (81.6%) of these issues are between 1992 and 2007 signifying floating rate as an effective mechanism to mitigate firm’s interest rate risk when the rates are high and expected to fall. A positive and significant abnormal return (CAR = 0.27%), in the event window surrounding issue date, provides strong evidence that the floating rate is viewed as a less restrictive provision as compared to the call option. Majority of the issues (89.3%) are non-callable since the floating rate mitigates interest rate risk for the issuing firm. Lack of put provision in these bonds (in only 7.35% of the sample issues) signifies no significant investor concerns of falling bond prices. Regression analysis reveals that firms with growth options and with higher leverage experience positive CAR due to the financial flexibility these bonds provide. Firms with higher level of information asymmetry benefits less from issuing these securities since most of these bonds (90.13%) are issued at par therefore, the price is not likely to carry information content that mitigates information asymmetry between the firms and the investors.

Bankruptcy Prediction Model with Risk Factors using Fuzzy Logic Approach

Forecasting bankruptcy remains crucial, especially during this pandemic. Managers, financial institutions, and government agencies rely on the information regarding an impending bankruptcy threat to make decisions. This paper developed a straightforward bankruptcy prediction model using the fuzzy logic approach for individuals and companies to evaluate their performance and analyse the tendency of getting bankrupt. A sample of 250 respondents from banks and financial firms were tested using the qualitative risk factors, namely, industrial risk, management risk, financial flexibility, credibility, competitiveness, and operational risk. This study provides a comprehensive analysis using the Fuzzy Inference System (FIS) editor in the MATLAB software, where the model's accuracy is compared to the actual results. The results show an accuracy rate of 99.20%, indicating that this approach can determine the likelihood of bankruptcy. The fuzzy logic approach can improve prediction accuracy while also guiding decision-makers in detecting and preventing possible financial crises in their early phases.