DAY 2 OF THE RISK & RESILIENCE ONLINE EVENT
AFTER THE CRISIS: IMPLICATIONS FOR RISK & RESILIENCE IN finance
Covid-19 changed the world. As the virus spread around the globe, 2020 was not what we expected or hoped for. The virus brought the world to a standstill. Companies in all kinds of sectors had to close down, both employees and self-employed people had to work from home, and some even lost their jobs. This was the start of an uncertain period for everyone. Many questions still remain unanswered, such as: How long will it last? How will we get out of this crisis? What will the longer-term effects be?
We have invited several speakers from the Netherlands and further afield to make an inspiring contribution to the Risk & Resilience Festival on 4 November. During various mini-lectures, we will discuss various topics in interactive sessions, such as: ‘How companies and investors can benefit from machine learning' and ‘Financial resilience in harsh times’. Together, we will look for ways to emerge stronger from this crisis and prepare for the future.
Managing credit risk with machine learning?
The crisis caused by Covid-19 has brought opportunities as well as devastation. Companies operating in a few industries (e.g. retail, pharmaceutical, and technology) are prospering while in some other sectors (e.g. aviation and travel) are suffering most. With the stimulus from the government and central bank, businesses are trying to accumulate higher debt. On the other hand, banks are cautious to offer additional credit, especially to many small businesses. Assessing their credit risk is of utmost importance. Because of cheap storage of huge amounts of data and easy access to computing power, millions of data items can be analyzed instantly. Can machine learning be an attractive tool for bankers and institutional investors to evaluate their loans and investments? What is the potential of digital technology for financial risk management? In recent years, there have been several research advances in predicting bankruptcy and default events, for credit risk management. The talk highlights how machine learning is taking over traditional methods with more accurate predictions.
PROGRAMMA
16.00 | Opening |
16:05 | Interactive mini-lecture: 'Financial resilience in harsh times' |
16:50 | Break |
17:00 | Interactive mini-lecture: 'How machine learning can help to manage credit risk?' |
17:45 | Conclusion |
18:00 | The end |
We look forward to meeting you at the online Risk & Resilience Festival 2020 and welcoming your participation in these inspiring sessions.






