@UVaHoopsRiffs@UVAMensHoops@uvahoopsriffs More accurate to look at BracketMatrix to get the consensus view rather than just what one person thinks. https://t.co/GHA6mEgXFG
The pullback from the brink may stem the market tailspin.
But still the big question to me is what did the last several weeks do to business investment, hiring etc.
+ We now have tariffs on everyone. Gigantic tariffs on China. And another ~90 days of other uncertainty.
There are a number of people who view addressing the national debt as the North Star for economic policy. I’m kinda skeptical, but whatever.
What I’m wondering is. If you have a $36 trillion debt burden. Is that easier to handle as a richer country or a poorer one
@scarylawyerguy@scarylawyerguy This AM, the WaPo, WSJ and NYT had this news lower on their home pages than coverage of Columbia changing its president.
Wealth Management Invest #Podcast with David Bodamer
@DavidBodamer speaks with Jack Shannon, a senior analyst on @MorningstarInc’s manager research team, in an episode recorded in front of a live audience at the Morningstar Investor Conference. https://t.co/OJBQ4VhMil
Here's where we at after 90 minutes. $361m total. As a group that number would rank them about 15th overall in ETF volume (about what $TLT and $EEM trade), which is Top 1%. But again compared to a normal ETF launch, which rarely see more than $1m on Day One, all of them have cleared that number and then some.
Stubbornly persistent inflation has altered the outlook for interest rate cuts and publicly-traded REITs paid the price in April as a result.
By @DavidBodamer for @wealth_mgmt https://t.co/HHSsIJSP1B
@DraftTaproom@UVaHoopsRiffs Which means under this setup it will take 15 years to cycle through H&Hs outside the permanent rivals vs the current where we get a H&H vs everyone every three years.
@accmbb@accnetwork Two permanent partners and 1 rotating H&H means over the course of 15 years teams will play most teams 16 times but their H&H partners 30 times. Ridiculously stupid.
@JerryRatcliffe The survey was done through Twitter in a Google sheet. What is the margin of error? How did he vet the responses? Some good questions you could ask him.