An Analysis of the Housing Market Dynamics in the Italian Municipalities

The Covid-19 pandemic has caused numerous variations in the global economies with repercussions in all sectors. Once the emergency phase has finished, the entire worldwide population has changed its lifestyle and has had to adapt to live with the pandemic. In particular, the several modifications that have occurred in the job market and in schools and universities have determined a necessary reorganization of domestic spaces. The present study represents the first phase of a wider research aimed at verifying the transformation in the Italian residential market demand resulted by the Covid-19. The analysis carried out in this work has been performed at the municipal level, by considering the data published by the National Institute of Statistics collected for the 15th General Census of the population and housing in 2011. The dataset collected has been processed through an advanced econometric technique in order to identify the functional relationships between the residential average unit market value and the main architectural, socio-demographic and territorial factors. Further developments of this research will concern the application of the same methodological approach proposed to data detected by the National Institute of Statistics for the 16th Census scheduled for 2021. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Investing style and sensitivity analysis in U.S. stock market during Covid-19 based on multi-factor model

According to the unimaginable influence of Covid-19 and the essential of capital asset pricing in the market, this article analyzes the TV industry of the US stock market before and during the epidemic based on the Fama-French five-factor model. Fama-French five-factor model comprehensively considers the impact of market risk premium (Mkt-RF), market value scale factor, (SMB), book-to-market value ratio factor (HML), profit factor (RMW) and investment factor (CMA) on this industry. Meanwhile, it can conduct a comprehensive evaluation of the impact of Covid-19 on the TV industry. The data in this article was selected from Kenneth R. French's databases and used multiple linear regression to obtain the results. The performance of factors is different due to the outbreak of Covid-19. By analyzing the result, it found that Mkt-RF, SMB are not significant in the model, but HML, RMW, CMA have changed from insignificant to significant. It indicates that during the Covid-19, investors are recommended to pay more attention to the firms with high book-to-market ratios, stable profitability, and aggressive investment style in the USA TV industry. Therefore, research on the stock market of the TV industry plays an important role in the steady development of the economy, the creation of social wealth, and the improvement of people's living standards. © 2021 IEEE.