La versione italiana di questo documento è disponibile al seguente link: https://ssrn.com/abstract=3663335The present Report analyses the economic impact of the Covid-19 pandemic as of the first semester of 2020 both in the domestic and in the international framework. Some analysis are updated...

This report discusses the economic impact of the Coronavirus/COVID-19 crisis across industries, and countries. It also provides estimates of the potential global economic costs of COVID-19, and the GDP growth of different countries. The current draft includes estimates for 30 countries, under...

In this paper, an issue of major policy significance pertaining to assessing the impact of COVID-19 beyond the short-term on India’s macroeconomy has been addressed by developing two restricted vector autoregression (VAR) models. These models enable an assessment of the detrimental impact of...

I model the effects of climate change on a real business cycle model economy subjected to climate moderated disasters and the possibility of a worldwide cataclysm that destroys the economy. I find that the rise of greenhouse gas production in the economy leads to more frequent and more...

The description of the dynamics and fluctuations of macro variables remains one of the most exciting problems of financial economics. This paper models macro variables via the description of transactions between agents. We use risk ratings x of agents as their coordinates in the economic space....

Alternative data is transforming the investment management process for financial industry, hedge funds, mutual funds, foundations, and pension funds. This paper describes the use of alternative data on the field of finance, particularly illustrating the complex forces driving the stock markets...

Many economist wonder how and when national economies will recover after the fall of quarantine for COVID-19. Based on the article we can say that different types of economies (The types are described below in the article) will recover differently. The fastest will recover small, predominantly...