In this webinar, Terry Robertson, Head of Fixed Income Research and Rich Szalkowski, Senior Municipal Credit Analyst at Raymond James, and Cris DeRitis, Deputy Chief Economist and Dan White, Director of Public Sector Research at Moody’s Analytics will discuss the Municipal Market and the impact of COVID-19.
In this webinar, we will assess the three new economic scenarios provided by the Fed.
In this webinar, we will identify the areas of the country that are best- and worst-positioned in the coming months and years; discuss various themes, trends, and risks that inform our outlook for different regions; and explore what the data are telling us about what is happening in real time.
Like everyone else, I’ve been cycling through the five stages of grief these past few weeks, saddened by the human tragedy unfolding across the world and the loss of a way of life that already seems like a distant memory.
Moody's Analytics & Raymond James In Conversation: Aftershock: The Impact of COVID-19 on Lending in the 2nd Half of 2020 – An Update on Mortgages
The second in our series of updates to the webinars Moody's Analytics & Raymond James hosted in April & May on the impact of COVID-19 on the economy, mortgages, CRE and U.S. autos. This - our second webinar - will discuss COVID-19's current impact on the mortgages.
Find out who the winner is.
Even without COVID-19, long-term prospects for U.S. economic growth fell considerably short of what held during the second half of the 20th century.
For the risk manager, to help determine whether the business is being run the right way, it's time to consider our existing approaches to managing and mitigating risk.
Chief Economist Mark Zandi and the Moody's Analytics team present an overview of our updated COVID-19 forecast scenarios for the global economy, including the key drivers for each probability weighted assumption.
In this webinar, Chief Economist Mark Zandi and the Moody's Analytics team present an overview of our updated COVID-19 forecast scenarios for the global economy, including the key drivers for each probability weighted assumption.