WEBVTT - BI Weekend: US Election, Berkshire Earnings

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. This is Bloomberg Intelligence

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<v Speaker 1>with Alex Steinhl and Paul Sweeney.

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<v Speaker 2>The real app performance has been in US corporate high yield.

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<v Speaker 3>Are the companies lean enough?

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<v Speaker 4>Have they trimmed all the fats?

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<v Speaker 2>The semiconductor business is a really cyclical business.

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<v Speaker 1>Breaking market headlines and corporate news from across the globe.

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<v Speaker 3>Do investors like the M and A that we've seen?

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<v Speaker 2>These are two big time blue chip companies.

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<v Speaker 3>The window between the peak and cut changing super fast.

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<v Speaker 1>Bloomberg Intelligence with Alex Steinhl and Paul'sweeny.

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<v Speaker 5>On Bloomberg Radio. I'm Paul sween and I'm John Tucker

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<v Speaker 5>filling in for Alex Steele.

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<v Speaker 2>On today's Bloomberg Intellivision show. We dig inside the big

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<v Speaker 2>business stories impacting Wall Street and global markets.

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<v Speaker 5>Each and head. Every week, we provide in depth research

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<v Speaker 5>and data on some of the two thousand companies at

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<v Speaker 5>one hundred and thirty industries our analysts cover worldwide.

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<v Speaker 2>Today, we'll look at why Berkshire Hathaway's cash pile has

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<v Speaker 2>reached a record plus.

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<v Speaker 5>We'll discuss where wind and solar energy storage will be

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<v Speaker 5>within the next decade.

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<v Speaker 2>But first we begin with our top story, the twenty

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<v Speaker 2>twenty four US election. This week, Donald Trump was elected

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<v Speaker 2>the forty seventh President of the United States, reclaiming the

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<v Speaker 2>White House and pulling off a stunning political comeback.

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<v Speaker 5>If heated Vice President Kamala Harris after she replaced an

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<v Speaker 5>unpopular President Joe Biden in the campaign's final months.

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<v Speaker 2>For more on Donald Trump's election, guest host Damian Sasara

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<v Speaker 2>and I were joined by Nathan Dean, Bloomberg Intelligence Senior

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<v Speaker 2>policy analyst. We first asked Nathan how Trump's future presidency

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<v Speaker 2>will impact different industries like banks.

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<v Speaker 6>With the financial services industry, it all came down to

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<v Speaker 6>this rule called the Basel three end game. You know,

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<v Speaker 6>as outlined by the FED. You're talking about a nine

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<v Speaker 6>percent increase for the GESIPS, the Bank America JP Morgan's

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<v Speaker 6>of you will about three to four percent in terms

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<v Speaker 6>of the regional banks. Now, with President Trump winning the

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<v Speaker 6>office of the control of the currency is likely going

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<v Speaker 6>to flip on day one of next year. So this

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<v Speaker 6>rule is effective indefinitely delayed. You know this, you would

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<v Speaker 6>need to FED, the OCC and the FDIC to move forward.

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<v Speaker 6>Now we think at thirty percent chance of it being

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<v Speaker 6>finalized by twenty twenty six. The reason why we're not

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<v Speaker 6>down to zero is because there is potential out there

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<v Speaker 6>that a Republican led regulator may try and move forth

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<v Speaker 6>with it. But the idea is going to be completely different,

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<v Speaker 6>and they're going to essentially start from scratch. So if

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<v Speaker 6>you're talking about capital requirements on a global scale, remember

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<v Speaker 6>the European banks have already implemented their version of this.

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<v Speaker 6>There could be some questions here on if the Americans

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<v Speaker 6>aren't going to do this, why should the Europeans on

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<v Speaker 6>these same sides. So certainly a lot to play here

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<v Speaker 6>in terms of the you know, deregulatory efforts amongst the

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<v Speaker 6>investment banks.

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<v Speaker 7>Nathan Dean, you are the consummate Washington insider. When I

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<v Speaker 7>need to get my what ifs answered about what's happening

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<v Speaker 7>in Washington, I call you. So I have a question here,

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<v Speaker 7>What name should I be looking at more closely than others?

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<v Speaker 7>Bill Lackman, Elon Musk's got Bess and Howard Luckneck. I mean,

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<v Speaker 7>talk to us about what the potential for a Trump

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<v Speaker 7>cabinet may very well look like.

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<v Speaker 6>Yeah, so you know, obviously the big question is you're

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<v Speaker 6>going to get the Wall Street President Trump? Or are

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<v Speaker 6>you going to get a populist President Trump? And that's

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<v Speaker 6>the question that I don't think anybody really has an

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<v Speaker 6>answer to, because you know, for example, at the SEC,

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<v Speaker 6>you know you have Commissioner Hester Purse, who I think

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<v Speaker 6>would be a very popular SEC chair coming from more

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<v Speaker 6>of the conservative wing the populist side of the party.

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<v Speaker 6>But then there's also going to be folks like former

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<v Speaker 6>JA Clayton. You know, obviously his name's been in there

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<v Speaker 6>for a Treasury but you know, somebody like a disciple,

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<v Speaker 6>if you will, a commissioner or chairman Clayton could be

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<v Speaker 6>also a named at the SEC. So the question that

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<v Speaker 6>we have, and we should find out about this more

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<v Speaker 6>over the next few weeks, is are you going to

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<v Speaker 6>get the populist Trump? Are the Wall Street Trump? And

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<v Speaker 6>I think you're probably going to get a combination of

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<v Speaker 6>the both, where if President Trump cares about your issue

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<v Speaker 6>in terms of he specifically wants to be involved, you'll

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<v Speaker 6>get a populist Trump. If it's something where he's happy

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<v Speaker 6>to delegate to other folks in Washington, then I think

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<v Speaker 6>you may get a Wall Street Trump.

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<v Speaker 7>Well ly than it took a long time for Trump

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<v Speaker 7>to pick his cabinet and his players back the first

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<v Speaker 7>time around. Apparently he's much more prepared this time. Talk

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<v Speaker 7>to us about timing around some of those selections. When

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<v Speaker 7>can we expect to hear something there?

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<v Speaker 6>Yeah, so I think you're gonna hear it, probably before

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<v Speaker 6>probably within the next few weeks. I mean to your point,

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<v Speaker 6>you know, they've been talking about this for some time.

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<v Speaker 6>But I would also note that the Republican Senate is

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<v Speaker 6>gonna be able to confirm a lot of President Trump's

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<v Speaker 6>appointees on a much quicker basis than if you were

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<v Speaker 6>to have a Democrat controlled Senate or even a fifty

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<v Speaker 6>or fifty one. Now why do we care about this, Well,

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<v Speaker 6>because the faster that those regulatory leaders come in place,

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<v Speaker 6>the faster they can start these deregulatory efforts. You know,

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<v Speaker 6>a regulatory leader, for the most part, can't just come

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<v Speaker 6>in and say, right, this regulation, we're going to just

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<v Speaker 6>completely roll it back on day one.

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<v Speaker 2>It's gonna take.

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<v Speaker 6>Nine months, twelve months, if not even two years to

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<v Speaker 6>move forth on that effort. So the quicker those regulatory

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<v Speaker 6>leaders come in place, the quicker the de regulatory effort

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<v Speaker 6>can take place.

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<v Speaker 2>Nathan, President elect Trump is se had lame duck president?

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<v Speaker 2>Is that a fair way to look at it?

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<v Speaker 1>Now?

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<v Speaker 6>So generally, and I say this generally, in the second

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<v Speaker 6>term of a presidential term, if you will, I think

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<v Speaker 6>President Obama or President George W. Bush, you usually have

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<v Speaker 6>about eighteen months to expend your political capital. First one

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<v Speaker 6>hundred days of the presidency is critical. But as soon

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<v Speaker 6>as Congress begins to think about their mid term elections

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<v Speaker 6>and then as the result when they come back, you know,

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<v Speaker 6>why should they stick their necks out for the president

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<v Speaker 6>who's going to be gone? So what do presidents tend

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<v Speaker 6>to do. They tend to go internationally, and they tend

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<v Speaker 6>to travel because the power of the presidency is more

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<v Speaker 6>powerful there. So, you know, we do think President Trump

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<v Speaker 6>is going to be spending a lot of time abroad, Ukraine,

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<v Speaker 6>Middle East, for example, China. There's a lot of stuff

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<v Speaker 6>that he can do there. But I wouldn't call him

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<v Speaker 6>a lame duck just yet, because again, the power of

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<v Speaker 6>the presidency is more powerful there.

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<v Speaker 7>You know that China tariffs are coming. You're betting, man,

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<v Speaker 7>what kind of tariff regime do you think we're entering into?

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<v Speaker 7>Is it going to be that ten percent broad is

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<v Speaker 7>it going to be sixty percent on China? What are

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<v Speaker 7>you hearing?

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<v Speaker 6>So this is where I think the process of tariff

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<v Speaker 6>is key. Now, remember, let's just say January twentieth, President

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<v Speaker 6>comes in. You see a red line over the terminal.

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<v Speaker 6>You say, President Trump signs an executive order saying tariffs

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<v Speaker 6>are coming. In the language of that executive order, however,

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<v Speaker 6>I think you'll see language that says the tariff is

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<v Speaker 6>not coming for two hundred and seventy days or three

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<v Speaker 6>hundred and sixty five days. Why, Because tariffs are negotiation tools.

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<v Speaker 6>President Trump doesn't know what the reciprocal tariff on China

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<v Speaker 6>from China would be, and President Trump wants to use

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<v Speaker 6>this as a negotiation. So I think there's going to

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<v Speaker 6>be language in there allowing flexibility. Allowed President Trump to

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<v Speaker 6>come back and say, ah, maybe not sixty percent, maybe

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<v Speaker 6>we'll go to ten percent because China gave us a

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<v Speaker 6>win or something like that. So what we're saying is

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<v Speaker 6>watch out for that headline risk in the first or

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<v Speaker 6>second quarter of next year. But then you're gonna get

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<v Speaker 6>probably six months to actually truly understand what that tariff

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<v Speaker 6>will look like before it goes into fruition.

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<v Speaker 4>All right.

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<v Speaker 5>Thanks to Nathan Dean, Bloomberg Intelligence Senior policy analyst.

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<v Speaker 2>Staying on the US election guest host Damian Sasaur and

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<v Speaker 2>I were joined by Wendy Schuller, professor at Brown University.

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<v Speaker 2>She gave us her take on the twenty twenty four

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<v Speaker 2>US election, along with some of its political ramifications. And

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<v Speaker 2>we first asked Wendy, what happens next for the Democratic

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<v Speaker 2>Party during a Trump presidency?

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<v Speaker 8>Well, you have to ask yourself why.

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<v Speaker 9>You know, popular incumbent senators have been reelected before could

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<v Speaker 9>not withstand the red wave, and so you can attribute

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<v Speaker 9>it to Trump charisma the Trump followers. We can do

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<v Speaker 9>that if we want to as observers, but you know

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<v Speaker 9>this and deep, This reaction across voters, across different kinds

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<v Speaker 9>of voters, from different backgrounds, different ages. This ran deep,

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<v Speaker 9>and it was a signal that said, we don't like

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<v Speaker 9>the policies that you're enacting, So what can they do?

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<v Speaker 8>I think it's informative to go back to Obama. Obama

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<v Speaker 8>had a much stricter border.

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<v Speaker 9>Policy than Joe Biden, and I think he did that

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<v Speaker 9>because he sensed there wasn't enough support in America for

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<v Speaker 9>something more liberal and more open, so you can say

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<v Speaker 9>to yourselves, the Democrats closed the border for too late.

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<v Speaker 9>The Democrats didn't push hard enough to get those interest

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<v Speaker 9>rates down. The Democrats didn't pay attention to the price

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<v Speaker 9>of eggs, and that's unusual for the Democrats, who usually

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<v Speaker 9>care a lot about the price of eggs. So I

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<v Speaker 9>think this is not necessarily a reboot completely, but they

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<v Speaker 9>have got to meet the voter where the voter is.

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<v Speaker 8>The voter was not with the Democratic Party.

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<v Speaker 7>Wendy, you mention the border, and let's look ahead here.

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<v Speaker 7>Trump is about to embark on what many believed to

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<v Speaker 7>be the largest deportation program in US history. How does

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<v Speaker 7>he expect to round them all up? And does he

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<v Speaker 7>intend to send him.

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<v Speaker 9>Well, you know Trump, Trump always surprises us in the

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<v Speaker 9>sense that he'll sort of.

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<v Speaker 8>Go off the ranch and then I'll kind of moderate.

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<v Speaker 1>You know.

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<v Speaker 8>The idea is how long does Trump want to be president?

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<v Speaker 9>You know, he's constitutionally prohibited from electing, being elected, and serving,

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<v Speaker 9>not from running, and so you know, does he want

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<v Speaker 9>to last long time?

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<v Speaker 8>Maybe get rid of the twenty second Amendment. I don't

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<v Speaker 8>know what he plans, but I think he.

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<v Speaker 9>Will scale this idea back especially since the border has

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<v Speaker 9>been shut down and you know, undocumented migration has slowed

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<v Speaker 9>so much.

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<v Speaker 8>Does he really have to do this? Does he have

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<v Speaker 8>to disrupt the country this way? You know, he could

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<v Speaker 8>do some of it, but I don't think the pressure's on.

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<v Speaker 9>Him to do all of it, because Biden has already

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<v Speaker 9>taken this step and he'll keep that policy in place.

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<v Speaker 7>Wendy, you mention the twenty second Amendment. You're not the

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<v Speaker 7>first one to talk about it, but you know what

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<v Speaker 7>I'm most interested in, and it's the FED right. And

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<v Speaker 7>Trump has made no secret about his intention to have

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<v Speaker 7>a greater say and monetary policy here in the US.

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<v Speaker 7>My question for you is what legal mechanisms can Trump

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<v Speaker 7>take advantage of in order for the to give the

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<v Speaker 7>over LA Office more control. More saying monetary policy, well,

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<v Speaker 7>I mean the.

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<v Speaker 8>Federal Reserve Act.

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<v Speaker 9>I mean literally the Act creating Federal Reserve and all

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<v Speaker 9>the bills that have come you know after that and

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<v Speaker 9>reauthorizing it. You know, that's something that's been sort of

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<v Speaker 9>a partnership with private monetary institutions, banks and the federal government.

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<v Speaker 9>And the thing about Donald Trump is gonna need cash, right,

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<v Speaker 9>you can't, you know, you can't crash the government and

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<v Speaker 9>crash the economy by the federal government running out of cash.

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<v Speaker 9>So there is a symbiotic relationship between really big banks

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<v Speaker 9>and the Federal Reserve itself and the success of a president.

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<v Speaker 8>So there's going to have to be negotiations there. But

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<v Speaker 8>I don't think the.

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<v Speaker 9>Heads of big banks you're just going to hand over

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<v Speaker 9>the keys of the kingdom to the president of the

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<v Speaker 9>United States and amount of who they are, and so

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<v Speaker 9>that will be a negotiation, and Trump fancies himself as

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<v Speaker 9>a very good negotiator.

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<v Speaker 2>Wendy, does Kamala Harris have it future as a leader

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<v Speaker 2>of the Democratic Party. I'm thinking maybe in four years time.

0:09:52.120 --> 0:09:52.400
<v Speaker 2>I think.

0:09:52.559 --> 0:09:55.040
<v Speaker 9>I think, all things considered, she ran a good campaign

0:09:55.160 --> 0:09:57.679
<v Speaker 9>what she was given, the time frame that she had

0:09:57.720 --> 0:10:00.240
<v Speaker 9>to work within, and her balancing act of trying to

0:10:00.280 --> 0:10:03.160
<v Speaker 9>separate from the Biden record and also present some sort

0:10:03.160 --> 0:10:06.240
<v Speaker 9>of plan for the future and bringing in and solidifying

0:10:06.360 --> 0:10:09.800
<v Speaker 9>particularly younger women, even older women. I think there's still

0:10:09.800 --> 0:10:12.920
<v Speaker 9>a block and a constituency that she can tap if

0:10:12.960 --> 0:10:15.480
<v Speaker 9>she wanted to run again. I just don't see this

0:10:15.559 --> 0:10:18.199
<v Speaker 9>as a Kamala Harris failed campaign. I see it as

0:10:18.360 --> 0:10:21.760
<v Speaker 9>Trump being a former president and energizing their base and

0:10:21.800 --> 0:10:24.760
<v Speaker 9>not making the same campaign mistakes they did in twenty twenty,

0:10:24.960 --> 0:10:27.840
<v Speaker 9>and the Biden record. I don't know if anybody could

0:10:27.880 --> 0:10:29.520
<v Speaker 9>have won in the face of those numbers.

0:10:29.720 --> 0:10:31.559
<v Speaker 7>Wendy, I wonder if you could shift your attention here

0:10:31.600 --> 0:10:34.600
<v Speaker 7>to what's going on in Ukraine. Obviously, Zelenski was the

0:10:34.600 --> 0:10:38.000
<v Speaker 7>firebrand who rejected Trump's request for information on Hunter Biden's

0:10:38.040 --> 0:10:41.000
<v Speaker 7>dealings back during his first tenure. And what comes next

0:10:41.440 --> 0:10:44.960
<v Speaker 7>for the Ukraine, for Zelenski, for Central Europe, and for

0:10:45.040 --> 0:10:46.559
<v Speaker 7>Russia under a Trump administration.

0:10:47.840 --> 0:10:50.160
<v Speaker 9>Well, I think Trump is a fan of Putin, and

0:10:50.200 --> 0:10:52.559
<v Speaker 9>I think Trump has said before that he thinks there's

0:10:52.600 --> 0:10:55.599
<v Speaker 9>a deal that can be reached. So my guess is

0:10:55.640 --> 0:10:57.480
<v Speaker 9>Trump says, listen, we're not going to send you the

0:10:57.480 --> 0:11:00.199
<v Speaker 9>same kind of weaponry, We're not going to support the

0:11:00.240 --> 0:11:03.240
<v Speaker 9>same way. Go to the table, cut a deal, give

0:11:03.320 --> 0:11:05.640
<v Speaker 9>up crimea I mean literally, these are the things that

0:11:05.679 --> 0:11:08.000
<v Speaker 9>he'll say. And maybe we'll make sure that more of

0:11:08.040 --> 0:11:09.880
<v Speaker 9>your people don't get killed. I mean, I think that's

0:11:09.920 --> 0:11:11.880
<v Speaker 9>what we'll do. And in the Middle East, you know,

0:11:11.960 --> 0:11:13.760
<v Speaker 9>I think people who think that he'll be a diehard

0:11:13.760 --> 0:11:16.480
<v Speaker 9>suborn of Israel maybe, but he may go to the

0:11:16.480 --> 0:11:18.120
<v Speaker 9>Saudia's and say, what kind of deal you want to

0:11:18.160 --> 0:11:20.559
<v Speaker 9>cut to get this thing over with against Iran. I mean,

0:11:20.760 --> 0:11:23.400
<v Speaker 9>he wants to make deals and be the hero. And

0:11:23.400 --> 0:11:25.840
<v Speaker 9>that's something we've seen before and we'll see again. So

0:11:25.960 --> 0:11:28.719
<v Speaker 9>whatever whoever's dealing with him has to be able to

0:11:28.760 --> 0:11:30.720
<v Speaker 9>give him some sort of victory he can walk away with.

0:11:30.960 --> 0:11:33.719
<v Speaker 5>All right, thanks to Wendy Schilder, professor at Brown University.

0:11:34.000 --> 0:11:35.760
<v Speaker 5>Coming up, we're going to talk more on why Donald

0:11:35.800 --> 0:11:39.200
<v Speaker 5>Trump winning the US presidency is leaving banks hopeful.

0:11:39.480 --> 0:11:42.360
<v Speaker 2>You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in

0:11:42.400 --> 0:11:44.760
<v Speaker 2>depth research and data on two thousand companies in one

0:11:44.840 --> 0:11:47.920
<v Speaker 2>hundred and thirty industries. You can access Bloomberg Intelligence via

0:11:47.960 --> 0:11:49.040
<v Speaker 2>b I go on the terminal.

0:11:49.080 --> 0:11:52.479
<v Speaker 5>I'm Paul Sweeney and I'm John Tucker. This is Bloomberg.

0:12:01.640 --> 0:12:05.520
<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us live

0:12:05.600 --> 0:12:08.280
<v Speaker 1>weekdays at ten am Eastern on Apple car Play and

0:12:08.280 --> 0:12:11.360
<v Speaker 1>Android Auto with the Bloomberg Business App. Listen on demand

0:12:11.360 --> 0:12:15.679
<v Speaker 1>wherever you get your podcasts, or watch us live on YouTube.

0:12:16.520 --> 0:12:17.559
<v Speaker 2>I'm Paul Sween.

0:12:17.400 --> 0:12:19.640
<v Speaker 5>And I'm John Tucker. Filling in for Alex Steele.

0:12:19.800 --> 0:12:22.360
<v Speaker 2>We continue with another conversation related to the twenty twenty

0:12:22.360 --> 0:12:23.320
<v Speaker 2>four US election.

0:12:23.520 --> 0:12:26.600
<v Speaker 5>This week, Donald Trump was elected forty seventh president of

0:12:26.600 --> 0:12:30.160
<v Speaker 5>the United States, and according to Bloomberg Intelligence Research, Trump's

0:12:30.240 --> 0:12:33.439
<v Speaker 5>victory is giving banks optimism for less regulation.

0:12:33.960 --> 0:12:35.400
<v Speaker 2>For more on this, John and I were joined by

0:12:35.440 --> 0:12:38.760
<v Speaker 2>Alison Williams, Bloomberg Intelligence senior analysts covering the global banks.

0:12:38.960 --> 0:12:42.319
<v Speaker 5>We first asked Allison why bank shares rallied afternoons of

0:12:42.400 --> 0:12:44.200
<v Speaker 5>Donald Trump becoming president elect.

0:12:44.720 --> 0:12:47.880
<v Speaker 10>So we see three things. So the big one is

0:12:48.360 --> 0:12:54.040
<v Speaker 10>less regulation. Secondly higher industrates, and then third we really

0:12:54.080 --> 0:12:56.880
<v Speaker 10>see some momentum for fee revenue, which has really been

0:12:56.960 --> 0:13:00.959
<v Speaker 10>powering the big banks that I cover. So the regulation

0:13:01.640 --> 0:13:04.680
<v Speaker 10>is the big one, and it's not just some of

0:13:04.720 --> 0:13:07.800
<v Speaker 10>the specific issues for the banks as a whole in

0:13:07.800 --> 0:13:10.200
<v Speaker 10>one or two banks, but it is just, you know,

0:13:10.240 --> 0:13:12.400
<v Speaker 10>the feeling that the pendulum can swing the other way

0:13:12.480 --> 0:13:15.760
<v Speaker 10>right so that there won't be new regulations and that

0:13:15.840 --> 0:13:17.960
<v Speaker 10>some of the things that are sort of in the

0:13:18.000 --> 0:13:21.920
<v Speaker 10>pipeline could be watered down or pushed out. That baso

0:13:21.920 --> 0:13:25.240
<v Speaker 10>three endgame has been the big one for the largest banks.

0:13:25.960 --> 0:13:31.160
<v Speaker 10>And you know, basil dictates that all jurisdictions around the

0:13:31.200 --> 0:13:34.440
<v Speaker 10>world have to do some form of implementation. But the

0:13:34.559 --> 0:13:37.000
<v Speaker 10>US proposal that came out in twenty twenty three was

0:13:37.800 --> 0:13:40.840
<v Speaker 10>really much stricter than we saw in other regions. We

0:13:40.960 --> 0:13:43.800
<v Speaker 10>had already had some expectations that that would be watered

0:13:43.840 --> 0:13:47.320
<v Speaker 10>down from you know, comments that Powell had made and

0:13:47.400 --> 0:13:50.800
<v Speaker 10>also comments from bar in September, so some of that

0:13:50.880 --> 0:13:52.680
<v Speaker 10>was sort of in the stocks, but I think the

0:13:52.720 --> 0:13:58.400
<v Speaker 10>feeling is, you know, from our regulatory group that the

0:13:58.440 --> 0:14:01.680
<v Speaker 10>things could either get pushed further out or they could

0:14:01.720 --> 0:14:04.320
<v Speaker 10>be water down even further. And so that's good for

0:14:04.360 --> 0:14:07.440
<v Speaker 10>the banks because their excess capital is something like five

0:14:07.480 --> 0:14:11.440
<v Speaker 10>to fifteen percent of their market caps. So definitely that

0:14:11.640 --> 0:14:14.800
<v Speaker 10>was something aiding City Group in Wells Fargo as well

0:14:14.840 --> 0:14:18.680
<v Speaker 10>as someone like Morgan, Stanley and Goldman, where even with

0:14:18.760 --> 0:14:21.960
<v Speaker 10>the water even with the sort of lighter touch in September,

0:14:22.680 --> 0:14:24.880
<v Speaker 10>they were still going to have a deficit in their capital.

0:14:25.000 --> 0:14:26.680
<v Speaker 10>So some positive news.

0:14:26.440 --> 0:14:27.120
<v Speaker 2>On that front.

0:14:27.440 --> 0:14:30.600
<v Speaker 10>Also, as you know, you know, Wells Fargo has had

0:14:30.640 --> 0:14:33.080
<v Speaker 10>this asset cap for a long time. City Group there's

0:14:33.120 --> 0:14:37.200
<v Speaker 10>been some concerns, especially around when they reported their results,

0:14:37.200 --> 0:14:40.840
<v Speaker 10>that they could face more scrutiny, So just a particular

0:14:40.920 --> 0:14:45.120
<v Speaker 10>easing I think also benefited those couple of banks. And

0:14:45.160 --> 0:14:48.120
<v Speaker 10>then there are some other things related to card and

0:14:48.160 --> 0:14:51.680
<v Speaker 10>consumer and finance as well. On the interest rate funds,

0:14:51.880 --> 0:14:55.360
<v Speaker 10>all these banks are positioned for higher rates, so we

0:14:55.480 --> 0:14:57.800
<v Speaker 10>know that, you know, we'll be watching the FED in

0:14:57.880 --> 0:15:01.600
<v Speaker 10>terms of short term rates. I think in general that

0:15:02.280 --> 0:15:04.920
<v Speaker 10>also got a lift. And then finally from our viewpoint,

0:15:05.560 --> 0:15:07.880
<v Speaker 10>the big thing is that we see momentum and fees

0:15:07.880 --> 0:15:10.120
<v Speaker 10>and that's been a huge boost to the earnings for

0:15:10.200 --> 0:15:10.760
<v Speaker 10>these banks.

0:15:10.840 --> 0:15:15.040
<v Speaker 5>Just back to the Buzzo three endgame rules, the idea

0:15:15.200 --> 0:15:17.920
<v Speaker 5>is give me the dummies version. You had to set

0:15:17.960 --> 0:15:22.200
<v Speaker 5>aside more capital basically in case things went south, so

0:15:22.280 --> 0:15:27.920
<v Speaker 5>the financial institutions wouldn't ruin the economy, right, So that's

0:15:27.960 --> 0:15:31.720
<v Speaker 5>freed up. Does that now go back to shareholders? Is

0:15:31.720 --> 0:15:32.400
<v Speaker 5>that the idea?

0:15:33.480 --> 0:15:37.560
<v Speaker 10>That is the idea, and so Boso three endgame rules. So,

0:15:38.000 --> 0:15:40.400
<v Speaker 10>as you know, Baso three is something that sort of

0:15:40.800 --> 0:15:44.400
<v Speaker 10>came after the financial crisis, and there's been many iterations.

0:15:44.440 --> 0:15:47.680
<v Speaker 10>Thus the reference to this last set of rules as

0:15:47.880 --> 0:15:51.760
<v Speaker 10>endgame and basically what that dictated was that as they

0:15:51.800 --> 0:15:55.800
<v Speaker 10>measure their risk weighted assets, there would be big increases

0:15:55.840 --> 0:15:58.800
<v Speaker 10>in that, and thus they'd be having to hire a

0:15:58.840 --> 0:16:03.720
<v Speaker 10>hole more capital against that. And so based on third

0:16:03.800 --> 0:16:08.960
<v Speaker 10>quarter earnings and fourth quarter requirements, their excess capital was

0:16:08.960 --> 0:16:12.480
<v Speaker 10>five to fifteen percent of their market cap. Under the

0:16:12.520 --> 0:16:16.840
<v Speaker 10>Basil three rules, that would turn to deficits across the bank,

0:16:16.920 --> 0:16:19.920
<v Speaker 10>so they would have to find a way to increase

0:16:19.960 --> 0:16:23.000
<v Speaker 10>their capital. There is a timeline, so they probably would

0:16:23.000 --> 0:16:26.400
<v Speaker 10>have done that through internal capital generation. But to your point,

0:16:26.480 --> 0:16:28.480
<v Speaker 10>they that would have been capital that they could not

0:16:28.520 --> 0:16:29.520
<v Speaker 10>return to shareholders.

0:16:29.640 --> 0:16:33.120
<v Speaker 5>Can I just who has the most capital to be

0:16:33.200 --> 0:16:34.880
<v Speaker 5>returned to shareholders?

0:16:35.680 --> 0:16:40.680
<v Speaker 10>Well, based on the requirements today, City Group, their excess

0:16:40.720 --> 0:16:43.440
<v Speaker 10>capital is something like fifteen percent of.

0:16:43.360 --> 0:16:44.440
<v Speaker 2>Their market cap.

0:16:45.120 --> 0:16:48.240
<v Speaker 10>Okay, all right, And I would and I would point

0:16:48.240 --> 0:16:52.440
<v Speaker 10>out also that you know these banks have and so

0:16:52.520 --> 0:16:55.080
<v Speaker 10>by the way, like the banks do sort of target

0:16:55.400 --> 0:16:58.320
<v Speaker 10>holding a buffer to the requirements. So there's a little

0:16:58.360 --> 0:17:00.720
<v Speaker 10>bit of that, but I think you know, in general,

0:17:01.520 --> 0:17:05.080
<v Speaker 10>it is the fact that buybacks will likely go up.

0:17:05.160 --> 0:17:07.959
<v Speaker 10>These banks already have buyback programs in place so they

0:17:08.000 --> 0:17:11.240
<v Speaker 10>can execute on them. But it's also the math. If

0:17:11.240 --> 0:17:14.320
<v Speaker 10>you have higher equity, your return on equity is going

0:17:14.400 --> 0:17:17.639
<v Speaker 10>to be lower, and that's how investors value stock. So

0:17:18.320 --> 0:17:22.880
<v Speaker 10>there is definitely the higher buybacks, but also I think

0:17:22.960 --> 0:17:27.040
<v Speaker 10>it is the sentiment that is helping bank multiples. This

0:17:27.119 --> 0:17:31.480
<v Speaker 10>specific regulation, but also less regulation in general. One other

0:17:31.520 --> 0:17:34.320
<v Speaker 10>area I didn't talk about with regard to regulation is

0:17:34.400 --> 0:17:37.080
<v Speaker 10>less antitrust. So that's good for M and A and

0:17:37.119 --> 0:17:40.320
<v Speaker 10>that's really why you saw Goldman and Morgan Stanley very

0:17:40.600 --> 0:17:42.000
<v Speaker 10>the stocks reacting to that.

0:17:42.600 --> 0:17:42.840
<v Speaker 8>All right.

0:17:42.840 --> 0:17:46.560
<v Speaker 5>Thanks to Alison Williams, Bloomberg Intelligence Senior analysts Global banks

0:17:46.600 --> 0:17:47.720
<v Speaker 5>and asset Managers.

0:17:48.119 --> 0:17:50.879
<v Speaker 2>Each week we look at research from Bloomberg n EF

0:17:51.000 --> 0:17:53.520
<v Speaker 2>previously known as New Energy Finance. They're the team at

0:17:53.520 --> 0:17:57.240
<v Speaker 2>Bloomberg that tracks and analyzes the energy transition from commodities

0:17:57.280 --> 0:18:01.119
<v Speaker 2>to power, transport, industries, buildings, and agri cultural sectors. This

0:18:01.200 --> 0:18:03.560
<v Speaker 2>week we took a look at Bloomberg neef's outlook for

0:18:03.640 --> 0:18:06.600
<v Speaker 2>wind and solar energy storage over the next ten years.

0:18:06.720 --> 0:18:09.760
<v Speaker 2>Guest host Jess Mett and I were joined by Yao Sachini,

0:18:09.920 --> 0:18:13.080
<v Speaker 2>Bloomberg NEF head of Energy Storage. We first asked her

0:18:13.359 --> 0:18:16.160
<v Speaker 2>where we are in terms of energy storage just.

0:18:16.119 --> 0:18:18.159
<v Speaker 11>For some context, and we're going to talk about some

0:18:18.200 --> 0:18:20.720
<v Speaker 11>of the analysis that we actually published around the clean

0:18:20.840 --> 0:18:25.200
<v Speaker 11>energy market outlook specifically look at the US for some contexts.

0:18:25.240 --> 0:18:27.800
<v Speaker 11>There's just been a lot of investment that's been pouring

0:18:27.800 --> 0:18:30.879
<v Speaker 11>into clean power segments. We've seen a lot of that

0:18:30.920 --> 0:18:34.240
<v Speaker 11>accelerated over the last I guess two years, and since

0:18:34.280 --> 0:18:37.520
<v Speaker 11>then Inflation Reduction Act passed, facilitating a lot of new

0:18:37.560 --> 0:18:40.760
<v Speaker 11>investments into wind, solar and storage sectors, which are the

0:18:40.760 --> 0:18:44.120
<v Speaker 11>sectors that we cover in that particular report. There's about

0:18:45.119 --> 0:18:48.840
<v Speaker 11>there's about three hundred billion dollars invested across these sectors

0:18:48.840 --> 0:18:52.760
<v Speaker 11>a wind, solar, storage, and other clean transportation and other

0:18:52.800 --> 0:18:57.200
<v Speaker 11>sectors in twenty twenty three. That's about twenty two percent

0:18:57.280 --> 0:18:59.639
<v Speaker 11>higher than we saw in previous years. And then what

0:18:59.640 --> 0:19:01.520
<v Speaker 11>we were doing this report is to have a twenty

0:19:01.520 --> 0:19:03.800
<v Speaker 11>thirty five view, So in the next decade, what do

0:19:03.840 --> 0:19:08.640
<v Speaker 11>we investments and capacity editions look like around these clean sectors.

0:19:09.320 --> 0:19:12.080
<v Speaker 11>There is actually a lot that's that's bound to happen

0:19:12.200 --> 0:19:15.040
<v Speaker 11>in terms of just what's committed to date happening over

0:19:15.040 --> 0:19:18.679
<v Speaker 11>the next few years, and that's likely to unlock a

0:19:18.680 --> 0:19:20.919
<v Speaker 11>lot more investment over the twenty thirty five period.

0:19:21.200 --> 0:19:23.679
<v Speaker 2>Are the risks to some of those moneies that have

0:19:23.720 --> 0:19:25.440
<v Speaker 2>already been committed ear marked.

0:19:26.359 --> 0:19:29.280
<v Speaker 11>Yeah, So what we did, I guess the way we

0:19:29.320 --> 0:19:31.240
<v Speaker 11>think about it is to look at what is our

0:19:31.280 --> 0:19:34.439
<v Speaker 11>expectation in the market out to twenty thirty five. So

0:19:34.480 --> 0:19:37.240
<v Speaker 11>for some context, our expectation in terms of our forecast

0:19:37.280 --> 0:19:41.080
<v Speaker 11>for winds, solar and storage installations is about one point

0:19:41.160 --> 0:19:45.680
<v Speaker 11>one tarrawat of new yeah, new capacity editions out to

0:19:45.760 --> 0:19:49.919
<v Speaker 11>twenty thirty five. For context, in the US power grid,

0:19:50.600 --> 0:19:52.480
<v Speaker 11>as of the end of twenty twenty three, there was

0:19:52.640 --> 0:19:57.679
<v Speaker 11>about one point two terrawat of cumulative installed power generation capacity.

0:19:57.960 --> 0:20:00.879
<v Speaker 11>So essentially we're about doubling in terms of capacity in

0:20:00.920 --> 0:20:03.680
<v Speaker 11>the grid out to twenty thirty five. But that addition

0:20:03.840 --> 0:20:06.000
<v Speaker 11>is just from when solar and storage, which is really

0:20:06.040 --> 0:20:09.439
<v Speaker 11>impressive in terms of the risk factors to your question.

0:20:10.200 --> 0:20:13.560
<v Speaker 11>So the way we were investigating that in the report,

0:20:13.680 --> 0:20:15.760
<v Speaker 11>or analyze that in the report is to try to

0:20:15.800 --> 0:20:19.000
<v Speaker 11>think about us in the worst case scenario. So there's

0:20:19.040 --> 0:20:21.119
<v Speaker 11>a lot of investment that's already been committed at the

0:20:21.160 --> 0:20:23.720
<v Speaker 11>back of the investment tax credits and some of the

0:20:23.760 --> 0:20:27.160
<v Speaker 11>other incentives in the Inflation Reduction Act, but we wanted

0:20:27.200 --> 0:20:30.560
<v Speaker 11>to look at Okay, so what happens if these incentives,

0:20:30.560 --> 0:20:35.200
<v Speaker 11>so the investment tax credit actually gets repealed right away,

0:20:35.480 --> 0:20:37.760
<v Speaker 11>which is of course a worst case scenario. It's not

0:20:37.880 --> 0:20:40.119
<v Speaker 11>our expectation of what will happen, but it gives us

0:20:40.160 --> 0:20:44.600
<v Speaker 11>some benchmark of what could happen. And under that scenario,

0:20:44.680 --> 0:20:47.200
<v Speaker 11>it's about a seventeen percent decline, so it's a fifth

0:20:47.560 --> 0:20:50.520
<v Speaker 11>of capacity that gets dropped or not built in the

0:20:50.560 --> 0:20:54.640
<v Speaker 11>twenty thirty five timeframe. One additional component is like if

0:20:54.680 --> 0:20:57.520
<v Speaker 11>that actually would were to happen, is that projects would

0:20:57.560 --> 0:21:00.080
<v Speaker 11>try to rush to try to be built before that

0:21:01.240 --> 0:21:03.520
<v Speaker 11>step down happens, which could happen in the end of

0:21:03.520 --> 0:21:06.040
<v Speaker 11>twenty twenty six or the end of twenty twenty five.

0:21:06.520 --> 0:21:09.600
<v Speaker 11>So essentially there's a rush to build. A decline in

0:21:09.640 --> 0:21:11.640
<v Speaker 11>the market, and then the market picks up up again,

0:21:11.720 --> 0:21:13.720
<v Speaker 11>but not at the same rate or not to the

0:21:13.760 --> 0:21:16.640
<v Speaker 11>same degree as it would in a non repeal scenario.

0:21:16.800 --> 0:21:17.800
<v Speaker 11>So that's how we looked at.

0:21:17.720 --> 0:21:20.600
<v Speaker 4>That walk us through the key fundamentals that you think

0:21:20.640 --> 0:21:22.880
<v Speaker 4>have helped build the industry.

0:21:23.000 --> 0:21:26.520
<v Speaker 11>Absolutely, so, I think we're obviously in an acceleration mode

0:21:26.560 --> 0:21:29.320
<v Speaker 11>at the moment. It's almost like certain key elements are

0:21:29.400 --> 0:21:31.879
<v Speaker 11>keeping the market from growing as quickly as it could.

0:21:32.440 --> 0:21:35.359
<v Speaker 11>But in terms of the fundamentals in the past, major

0:21:35.440 --> 0:21:38.119
<v Speaker 11>one is the fact that the cost of wind, solar,

0:21:38.160 --> 0:21:41.200
<v Speaker 11>and storage and batteries has come down significantly over the

0:21:41.280 --> 0:21:45.640
<v Speaker 11>last decades. That's really made the cost of these technologies

0:21:45.640 --> 0:21:50.359
<v Speaker 11>competitive against conventional generation, conventional fossil fuel generators in the

0:21:50.480 --> 0:21:53.879
<v Speaker 11>US that would be trying to displace gas. And we

0:21:53.920 --> 0:21:55.920
<v Speaker 11>do see in most of the markets of the US

0:21:56.000 --> 0:21:58.800
<v Speaker 11>wind and solar are competitive against gas. Of course, they

0:21:58.800 --> 0:22:01.720
<v Speaker 11>don't deliver energy at all, like twenty four to seven,

0:22:01.760 --> 0:22:05.160
<v Speaker 11>and that's where batteries comes in. So the cost of batteries,

0:22:05.480 --> 0:22:09.080
<v Speaker 11>like specifically lithiuman batteries has fallen by more than ninety

0:22:09.119 --> 0:22:11.520
<v Speaker 11>percent over the last decade, which is significant.

0:22:11.680 --> 0:22:14.200
<v Speaker 2>How's the US doing you quote some really big numbers

0:22:14.200 --> 0:22:17.880
<v Speaker 2>here in terms of investment in tara watts and all those.

0:22:18.320 --> 0:22:20.320
<v Speaker 2>How are we versus the rest of the world in

0:22:20.400 --> 0:22:22.680
<v Speaker 2>terms of, you know, just in terms of really embracing

0:22:23.040 --> 0:22:23.840
<v Speaker 2>cleaner energy.

0:22:24.560 --> 0:22:27.720
<v Speaker 11>Yeah, so on a country level basis, the US is

0:22:27.760 --> 0:22:31.000
<v Speaker 11>probably second in terms of staffed investments in these sectors.

0:22:31.359 --> 0:22:34.080
<v Speaker 11>That's because China is really the giant in terms of

0:22:34.119 --> 0:22:37.920
<v Speaker 11>attracting new investment into wins, solar and even batteries segments.

0:22:38.840 --> 0:22:40.680
<v Speaker 11>And there's a bit of a pickup game in terms

0:22:40.720 --> 0:22:42.400
<v Speaker 11>of some of the key segments in terms of the

0:22:42.440 --> 0:22:45.840
<v Speaker 11>manufacturing side, so the supply chain and trying to invest

0:22:45.880 --> 0:22:48.520
<v Speaker 11>that and bring that into the US. With mixed levels

0:22:48.520 --> 0:22:52.399
<v Speaker 11>of comparative success across different sectors.

0:22:52.240 --> 0:22:56.080
<v Speaker 4>What should we expect for wind and solar capacity build

0:22:56.200 --> 0:22:59.160
<v Speaker 4>in twenty twenty five for those forecasts.

0:22:58.880 --> 0:23:01.720
<v Speaker 11>Yeah, so we're expecting most of them to grow. That's

0:23:01.720 --> 0:23:05.800
<v Speaker 11>certainly true for solar and storage. When when more or

0:23:05.880 --> 0:23:11.280
<v Speaker 11>less keeping a pace, generally, our expectation is that there

0:23:11.320 --> 0:23:14.760
<v Speaker 11>will be more investment going in. And that's because there's

0:23:14.800 --> 0:23:16.760
<v Speaker 11>just a lot of projects in the pipeline that are

0:23:16.960 --> 0:23:21.199
<v Speaker 11>essentially contracted to meet utility demands. So a lot of

0:23:21.240 --> 0:23:24.080
<v Speaker 11>the US utilities have been you know, contracting working in

0:23:24.160 --> 0:23:27.760
<v Speaker 11>power because they, as I said, they're cheaper, but also

0:23:27.800 --> 0:23:31.800
<v Speaker 11>because they might have some specific goals in order to decarbonize.

0:23:32.359 --> 0:23:36.280
<v Speaker 11>I guess the other factors is just the corporate side.

0:23:36.359 --> 0:23:38.680
<v Speaker 11>So a lot of the you know, the Amazons and Googles,

0:23:38.680 --> 0:23:42.440
<v Speaker 11>these companies have increasingly also been looking for cleaner portfolios

0:23:42.760 --> 0:23:45.879
<v Speaker 11>of energy generation to be meeting their demand.

0:23:46.080 --> 0:23:49.560
<v Speaker 2>Thanks to ye Josa Kenny Bloomberg, any head of energy storage.

0:23:49.680 --> 0:23:51.520
<v Speaker 5>Coming up on a program, we're going to break down

0:23:51.600 --> 0:23:55.080
<v Speaker 5>why Berkshire Hathaways cash pile has reached a record.

0:23:55.200 --> 0:23:57.840
<v Speaker 2>You're listening to the Bloomberg Intelligence on Bloomberg Radio, providing

0:23:57.840 --> 0:24:00.159
<v Speaker 2>in depth research and data on two thousand companies in

0:24:00.160 --> 0:24:03.160
<v Speaker 2>one hundred and thirty industries. You can access Bloomberg Intelligence

0:24:03.240 --> 0:24:04.439
<v Speaker 2>via bi go on the terminal.

0:24:04.480 --> 0:24:08.000
<v Speaker 5>I'm Paul Sweeney and I'm John Tucker, and this is Bloomberg.

0:24:12.720 --> 0:24:16.600
<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us live

0:24:16.680 --> 0:24:20.240
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0:24:20.240 --> 0:24:23.000
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0:24:23.119 --> 0:24:26.200
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0:24:26.600 --> 0:24:29.320
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0:24:30.640 --> 0:24:33.040
<v Speaker 5>I'm Paul Sweeney and I'm John Tucker filling in for

0:24:33.119 --> 0:24:33.840
<v Speaker 5>Alex Steele.

0:24:34.000 --> 0:24:36.719
<v Speaker 2>We moved out of corporate earnings. Berkshire Hathaway recently reported

0:24:36.760 --> 0:24:39.680
<v Speaker 2>third quarter earnings and said that it's cash power reached

0:24:39.680 --> 0:24:42.000
<v Speaker 2>three hundred and twenty five billion dollars in the third quarter.

0:24:42.280 --> 0:24:45.840
<v Speaker 5>And this comes as Berkshire's CEO Warren Buffett continued to

0:24:45.920 --> 0:24:49.639
<v Speaker 5>refrain from major acquisitions while trimming some of the most

0:24:49.760 --> 0:24:51.760
<v Speaker 5>significant equity stakes for.

0:24:51.680 --> 0:24:53.400
<v Speaker 2>More at guests, Hos, Jess, Mett, and I were joined

0:24:53.440 --> 0:24:56.960
<v Speaker 2>by Matthew Palizola, Bloomberg Intelligence Senior analyst P and C

0:24:57.240 --> 0:25:00.360
<v Speaker 2>Insurance for First asked Matthew to break down berkshire most

0:25:00.400 --> 0:25:01.000
<v Speaker 2>recent quarter.

0:25:01.280 --> 0:25:03.080
<v Speaker 12>When you look at their earnings, there's a couple of

0:25:03.320 --> 0:25:08.080
<v Speaker 12>layers you have to unpeel. First, their gap earnings were

0:25:08.320 --> 0:25:12.640
<v Speaker 12>swayed by investment changes. Buffett himself has said, you kind

0:25:12.640 --> 0:25:14.280
<v Speaker 12>of just throw that out. We don't really look at that.

0:25:14.280 --> 0:25:16.679
<v Speaker 12>It was like twenty six I think billion versus an

0:25:16.680 --> 0:25:20.000
<v Speaker 12>eleven billion loss in the year ago. Those numbers are

0:25:20.080 --> 0:25:23.240
<v Speaker 12>a little bit irrelevant. The next part is their earnings

0:25:23.280 --> 0:25:26.159
<v Speaker 12>from operating companies. Those, if you look at just the

0:25:26.240 --> 0:25:28.439
<v Speaker 12>number they give you, those were down about six percent.

0:25:28.920 --> 0:25:31.760
<v Speaker 12>What happened there, though, was they have a lot of

0:25:31.840 --> 0:25:34.520
<v Speaker 12>yen debt and there was a big four x loss

0:25:34.640 --> 0:25:38.719
<v Speaker 12>in there, so peel that back. The operating company's earnings

0:25:38.720 --> 0:25:41.960
<v Speaker 12>were up a little bit, which is less than I expected.

0:25:42.440 --> 0:25:49.359
<v Speaker 12>The insurance operation had a couple of unforeseen negatives in it,

0:25:49.640 --> 0:25:52.119
<v Speaker 12>and that really turned it down, some of them I

0:25:52.160 --> 0:25:54.960
<v Speaker 12>don't think are ongoing things. But that was really the

0:25:55.000 --> 0:25:57.400
<v Speaker 12>negative variance was in the insurance business.

0:25:57.680 --> 0:26:00.520
<v Speaker 4>Something because we were actually chatting about this earlier when

0:26:00.520 --> 0:26:03.800
<v Speaker 4>it came to the percent of their cash pilot Berkshire Hathaway.

0:26:03.880 --> 0:26:05.439
<v Speaker 4>So the last time it was around this high, the

0:26:05.480 --> 0:26:08.399
<v Speaker 4>stock market continued to move on to records over the

0:26:08.400 --> 0:26:10.919
<v Speaker 4>following fifty two weeks, but then the last time on

0:26:10.960 --> 0:26:13.560
<v Speaker 4>this opposite into that the lowest percent of cash he

0:26:13.640 --> 0:26:16.080
<v Speaker 4>had at any time over the past decade was right

0:26:16.119 --> 0:26:18.439
<v Speaker 4>when the S and P five hundred briefly peid in

0:26:18.720 --> 0:26:22.240
<v Speaker 4>twenty twenty one. So what's your thoughts whenever you're kind

0:26:22.240 --> 0:26:24.560
<v Speaker 4>of thinking about what this could mean more broadly for

0:26:24.640 --> 0:26:27.840
<v Speaker 4>where like major indexes and equities could potentially be headed.

0:26:27.920 --> 0:26:31.399
<v Speaker 12>Yeah, so, I mean Buffett is a more of a

0:26:31.560 --> 0:26:34.879
<v Speaker 12>time in than timing of the market right clearly, So

0:26:36.520 --> 0:26:41.640
<v Speaker 12>I don't think he's making big moves on large expectations

0:26:41.640 --> 0:26:42.080
<v Speaker 12>on the market.

0:26:42.119 --> 0:26:42.560
<v Speaker 8>If you look what.

0:26:42.560 --> 0:26:45.040
<v Speaker 12>Happened, they sold about twenty two billion dollars worth of

0:26:45.080 --> 0:26:48.840
<v Speaker 12>Apple stock in the quarter. That's along with about nine

0:26:48.880 --> 0:26:51.040
<v Speaker 12>and a half billion worth of Bank of America stock

0:26:51.080 --> 0:26:54.480
<v Speaker 12>in the quarter. I don't think you look at that

0:26:54.520 --> 0:26:57.040
<v Speaker 12>and say, Okay, he's completely parish on everything in the market.

0:26:57.200 --> 0:26:59.560
<v Speaker 12>I think those were, you know, unique things. They were

0:26:59.640 --> 0:27:03.400
<v Speaker 12>highly concentrated in Apple. Their Apple position is down seventy

0:27:03.440 --> 0:27:07.040
<v Speaker 12>percent from its high in terms of the shares they own,

0:27:07.480 --> 0:27:10.639
<v Speaker 12>so I think those things were unique to the stocks

0:27:10.640 --> 0:27:14.479
<v Speaker 12>they own. Buffett has repeatedly talked about taxes going up.

0:27:14.520 --> 0:27:18.040
<v Speaker 12>I don't think it's even an election cycle now, but

0:27:18.119 --> 0:27:21.360
<v Speaker 12>he's just saying even longer term, there's probably only one

0:27:21.400 --> 0:27:24.439
<v Speaker 12>direction taxes are going for us, and that's up. So

0:27:24.520 --> 0:27:27.520
<v Speaker 12>you'd not be surprised to see them taking large gains

0:27:27.560 --> 0:27:28.080
<v Speaker 12>off the board.

0:27:28.960 --> 0:27:32.200
<v Speaker 2>So three twenty five billion dollars, is there any realistic

0:27:32.280 --> 0:27:36.480
<v Speaker 2>scenario for deploying that capital over a multi year period.

0:27:36.680 --> 0:27:38.960
<v Speaker 12>You know, it's tough. They are limited in how much

0:27:39.000 --> 0:27:41.360
<v Speaker 12>shares they can buy back just on the float.

0:27:42.760 --> 0:27:43.439
<v Speaker 5>We had wrote.

0:27:43.920 --> 0:27:46.760
<v Speaker 12>You know, it's tough to see them doing a tens

0:27:46.800 --> 0:27:51.240
<v Speaker 12>of billion dollar acquisition. There is the ownership in Chubb

0:27:51.240 --> 0:27:54.919
<v Speaker 12>out there, which is you know, perhaps the megadeal that

0:27:55.040 --> 0:27:59.280
<v Speaker 12>may or may not ever happen if they do something.

0:27:59.280 --> 0:28:01.480
<v Speaker 12>They bought Allegation, which was an insurance company kind of

0:28:01.480 --> 0:28:03.960
<v Speaker 12>conglomerate a couple years ago that was about twelve billion dollars.

0:28:04.760 --> 0:28:06.760
<v Speaker 12>It seems like that's going to be the max on

0:28:06.760 --> 0:28:09.440
<v Speaker 12>what they're going to do. But if I could predict

0:28:09.440 --> 0:28:11.359
<v Speaker 12>a Buffet would do, I'd be on an island somewhere.

0:28:11.440 --> 0:28:13.320
<v Speaker 2>So but no dividend.

0:28:14.080 --> 0:28:16.040
<v Speaker 12>There will not be a dividend as long as Warren

0:28:16.080 --> 0:28:18.679
<v Speaker 12>Buffett is sitting in all is that? I mean, I

0:28:18.680 --> 0:28:21.440
<v Speaker 12>think he likes getting them, he doesn't like paying them.

0:28:21.480 --> 0:28:21.800
<v Speaker 2>He says.

0:28:22.040 --> 0:28:25.560
<v Speaker 12>You know, look I and I would agree with him.

0:28:25.800 --> 0:28:28.880
<v Speaker 12>I'm better off holding this money than giving it. Your

0:28:28.880 --> 0:28:30.880
<v Speaker 12>return on a divid end is going to be less

0:28:30.920 --> 0:28:34.120
<v Speaker 12>than my return investing it. That probably hasn't been true

0:28:34.160 --> 0:28:36.919
<v Speaker 12>actually recently, but I think that's his mindset.

0:28:37.160 --> 0:28:39.360
<v Speaker 4>You were mentioning about how claims they were years ago

0:28:39.400 --> 0:28:42.440
<v Speaker 4>are costing them more than expected. Walk us through that dynamic.

0:28:42.560 --> 0:28:45.760
<v Speaker 12>Sure, So this is called reserve development. So what happens

0:28:45.840 --> 0:28:49.360
<v Speaker 12>is insurance companies like so for example, Geico, they write auto,

0:28:49.640 --> 0:28:51.640
<v Speaker 12>some home, well not really home, but they'll write auto.

0:28:52.200 --> 0:28:53.880
<v Speaker 12>You're either going to have a car accident in a

0:28:53.960 --> 0:28:56.840
<v Speaker 12>year or you're not. But they'll write some liability business

0:28:56.920 --> 0:28:59.960
<v Speaker 12>where you may have a claim and that you might

0:29:00.080 --> 0:29:03.000
<v Speaker 12>find out and they claim years into the future. And

0:29:03.640 --> 0:29:05.840
<v Speaker 12>what is happening is you set up a reserve for

0:29:05.880 --> 0:29:09.200
<v Speaker 12>that and that reserve could be wrong or they're almost

0:29:09.240 --> 0:29:11.600
<v Speaker 12>always wrong right, but it could be wrong too low

0:29:11.720 --> 0:29:14.480
<v Speaker 12>or wrong too high. And what had happened in the

0:29:14.560 --> 0:29:19.200
<v Speaker 12>quarter was their reserve for their primary insurance business, A

0:29:19.240 --> 0:29:23.200
<v Speaker 12>specific unit of it was quite wrong and there's there's

0:29:23.280 --> 0:29:26.040
<v Speaker 12>new management took over that unit, and usually when that happens,

0:29:26.080 --> 0:29:29.080
<v Speaker 12>they add to their reserves. If this was if this

0:29:29.240 --> 0:29:32.840
<v Speaker 12>was just a you know, XYZ insurance company, this would

0:29:32.880 --> 0:29:35.960
<v Speaker 12>be really bad. But it's Berkshire. Their financial strength is

0:29:36.400 --> 0:29:40.280
<v Speaker 12>so superior to anything you might see that it's kind

0:29:40.280 --> 0:29:40.560
<v Speaker 12>of just.

0:29:40.520 --> 0:29:44.280
<v Speaker 5>A blip, all right. Thanks to Matthew Pallazola, Bloomberg Intelligence

0:29:44.280 --> 0:29:46.480
<v Speaker 5>senior analysts P and C Insurance, it.

0:29:46.560 --> 0:29:49.680
<v Speaker 2>Turned out to a recent deal in the data security business.

0:29:49.880 --> 0:29:52.560
<v Speaker 5>Sofas agreed to buy secure Works for eight dollars fifty

0:29:52.600 --> 0:29:55.440
<v Speaker 5>cents a share in cash at evaluation of eight hundred

0:29:55.480 --> 0:29:57.320
<v Speaker 5>fifty nine million dollars for more.

0:29:57.360 --> 0:29:59.560
<v Speaker 2>Guest host MLI, Grifeo and I were joined by Secure

0:29:59.560 --> 0:30:02.760
<v Speaker 2>Works c CEO Wendy Thomas. We first asked Wendy to

0:30:02.800 --> 0:30:05.800
<v Speaker 2>talk to us about why secure Works sold to sofos.

0:30:06.040 --> 0:30:10.440
<v Speaker 13>This is a strategic combination of two longtime security market leaders,

0:30:10.720 --> 0:30:14.440
<v Speaker 13>and so when you think about combining are two agnostic,

0:30:14.600 --> 0:30:19.760
<v Speaker 13>very open platforms, decades of cybersecurity experience, and strong brands

0:30:19.760 --> 0:30:22.920
<v Speaker 13>in the space. This is a way to really scale

0:30:23.040 --> 0:30:25.480
<v Speaker 13>up and defeat the adversary at scale.

0:30:25.760 --> 0:30:29.680
<v Speaker 3>What does it say about the current market for cybersecurity

0:30:29.720 --> 0:30:33.560
<v Speaker 3>companies that this acquisition is going through.

0:30:33.840 --> 0:30:38.800
<v Speaker 13>The market is really looking for a single partner for cybersecurity,

0:30:38.880 --> 0:30:43.000
<v Speaker 13>sort of a consolidated platform play that a one organization

0:30:43.080 --> 0:30:47.320
<v Speaker 13>can increasingly address multiple use cases for their security needs,

0:30:47.680 --> 0:30:53.320
<v Speaker 13>from being proactive about vulnerability management to reactive to detection

0:30:53.400 --> 0:30:56.880
<v Speaker 13>and response capabilities all the way to AI powered platforms

0:30:56.920 --> 0:30:59.600
<v Speaker 13>that can predict the next cyber attack. And so the

0:30:59.640 --> 0:31:02.360
<v Speaker 13>scale all of R and D required to make that

0:31:02.400 --> 0:31:07.480
<v Speaker 13>a reality for customers is one that requires scale in organizations.

0:31:07.840 --> 0:31:12.200
<v Speaker 13>So to take two cash low positive growing leaders in

0:31:12.240 --> 0:31:15.120
<v Speaker 13>the space and put them together means more scaled R

0:31:15.120 --> 0:31:18.080
<v Speaker 13>and D to be better, faster, stronger for customers.

0:31:18.560 --> 0:31:21.640
<v Speaker 2>What are your customers doing with cybersecurity these days in

0:31:21.720 --> 0:31:23.880
<v Speaker 2>terms of their spending their investment.

0:31:24.200 --> 0:31:28.680
<v Speaker 13>They are increasingly moving from what I would call preventative

0:31:28.800 --> 0:31:35.400
<v Speaker 13>cybersecurity investments to proactive cybersecurity posture and risk management. This

0:31:35.440 --> 0:31:40.080
<v Speaker 13>is all about moving towards increasing prevention and the reason

0:31:40.200 --> 0:31:43.560
<v Speaker 13>is that dwell times of thread actors in an organization's

0:31:43.680 --> 0:31:48.800
<v Speaker 13>environment have gone from months to days to now hours.

0:31:49.240 --> 0:31:52.120
<v Speaker 13>So with the power of an AI powered platform, in

0:31:52.280 --> 0:31:56.600
<v Speaker 13>order to really be able to keep constant visibility about

0:31:56.640 --> 0:32:01.760
<v Speaker 13>potential holes in their attacks, right those unlocked doors, as

0:32:01.800 --> 0:32:05.080
<v Speaker 13>I like to talk about, it requires technology to do that,

0:32:05.520 --> 0:32:09.600
<v Speaker 13>technology to detect that someone's rattling that door handle, and

0:32:09.640 --> 0:32:13.800
<v Speaker 13>the ability to immediately protect the organization from someone getting

0:32:13.800 --> 0:32:17.760
<v Speaker 13>in and taking those valuable data assets or encrypting their

0:32:17.800 --> 0:32:19.000
<v Speaker 13>systems with ransomware.

0:32:20.080 --> 0:32:23.200
<v Speaker 3>So you're using an AI powered you're an AI powered

0:32:23.200 --> 0:32:27.640
<v Speaker 3>security platform. I'm wondering how difficult it is right now

0:32:27.680 --> 0:32:31.760
<v Speaker 3>to be a company that's using AI when it seems

0:32:31.800 --> 0:32:35.920
<v Speaker 3>like demand is outpacing supply. Is that a challenge for

0:32:36.120 --> 0:32:36.600
<v Speaker 3>you guys?

0:32:38.200 --> 0:32:41.200
<v Speaker 13>Well, if you think about AI, that's a pretty broad category.

0:32:41.400 --> 0:32:45.840
<v Speaker 13>And while you know, natural language processing and generative AI

0:32:46.040 --> 0:32:48.479
<v Speaker 13>is the is the hot topic right now, and it

0:32:48.600 --> 0:32:52.120
<v Speaker 13>has its place in security in terms of things like

0:32:52.400 --> 0:32:57.480
<v Speaker 13>changing cybersecurity detections into readable language of what's going on

0:32:57.560 --> 0:33:01.160
<v Speaker 13>to a business person. We've been using AI for a

0:33:01.280 --> 0:33:03.760
<v Speaker 13>very long time in our platform. We started building it

0:33:03.800 --> 0:33:08.080
<v Speaker 13>in twenty seventeen for things like machine learning, deep learning,

0:33:08.080 --> 0:33:12.080
<v Speaker 13>statistical learning, in order to sort through tremendous amounts of

0:33:12.160 --> 0:33:15.600
<v Speaker 13>data and find patterns of behavior that we can match

0:33:15.680 --> 0:33:17.760
<v Speaker 13>to thread actors, the way that they try to come

0:33:17.760 --> 0:33:20.800
<v Speaker 13>into an environment, the software that they use in those

0:33:20.840 --> 0:33:23.920
<v Speaker 13>tactics and techniques, and a platform like that that can

0:33:23.920 --> 0:33:26.440
<v Speaker 13>filter through a lot of data and find those patterns

0:33:26.880 --> 0:33:29.800
<v Speaker 13>is the key to being able to protect an organization.

0:33:30.280 --> 0:33:33.920
<v Speaker 13>So it's home built for both sofas and for secure

0:33:33.960 --> 0:33:37.400
<v Speaker 13>works their hub platform and our Tage's platform. It just

0:33:37.440 --> 0:33:39.080
<v Speaker 13>makes a ton of sense to be able to take

0:33:39.120 --> 0:33:41.000
<v Speaker 13>the best of both worlds and put those together.

0:33:41.200 --> 0:33:41.560
<v Speaker 1>All right.

0:33:41.640 --> 0:33:44.360
<v Speaker 2>So you and I, Wendy, we first chatted back in

0:33:44.400 --> 0:33:46.440
<v Speaker 2>twenty twenty one. How is your company? How has the

0:33:46.480 --> 0:33:48.680
<v Speaker 2>industry changed over the last several years.

0:33:48.960 --> 0:33:52.080
<v Speaker 13>The industry is, I think, on a path for the

0:33:52.120 --> 0:33:56.440
<v Speaker 13>first long time to really consolidate, and that is frankly

0:33:56.480 --> 0:33:59.080
<v Speaker 13>as a result of customer demand to be able to

0:33:59.360 --> 0:34:06.360
<v Speaker 13>run a holistic security program. Understand frankly, quantify their risk,

0:34:07.240 --> 0:34:10.640
<v Speaker 13>demonstrate where they've protected against that risk, and then have

0:34:10.840 --> 0:34:15.560
<v Speaker 13>the accountability around who is attacking their environment and how

0:34:15.560 --> 0:34:18.120
<v Speaker 13>they've protected against it for their boards and c suite.

0:34:19.120 --> 0:34:22.880
<v Speaker 13>It's become a boardroom topic for the last couple of years,

0:34:23.360 --> 0:34:26.160
<v Speaker 13>and so the ability of a security professional to elevate

0:34:26.400 --> 0:34:30.120
<v Speaker 13>sort of a technical pursuit into the language of business

0:34:30.120 --> 0:34:32.759
<v Speaker 13>and risk. It's probably the biggest change that I've seen

0:34:32.800 --> 0:34:33.880
<v Speaker 13>over the last few years.

0:34:34.239 --> 0:34:36.359
<v Speaker 3>I want to zoom out and just talk about the

0:34:36.400 --> 0:34:40.560
<v Speaker 3>cyber industry more broadly and how different corporation should be

0:34:40.640 --> 0:34:46.120
<v Speaker 3>thinking about the current state of threat to their businesses

0:34:46.200 --> 0:34:49.719
<v Speaker 3>when it comes to cybersecurity. Are we worse off than

0:34:49.760 --> 0:34:53.520
<v Speaker 3>we were maybe five years ago as hackers get more advanced.

0:34:53.920 --> 0:34:57.359
<v Speaker 13>I would say that the great things about AI that

0:34:57.400 --> 0:35:01.960
<v Speaker 13>have enabled us as businesses security companies to leverage the

0:35:02.000 --> 0:35:05.080
<v Speaker 13>power of that AI has also represented a certain amount

0:35:05.120 --> 0:35:08.760
<v Speaker 13>of peril in terms of empowering those thread actors as well,

0:35:09.160 --> 0:35:13.719
<v Speaker 13>and whether it's nation states or cyber criminals who are involved,

0:35:13.960 --> 0:35:18.440
<v Speaker 13>their ability to use the same sort of natural language

0:35:18.560 --> 0:35:22.440
<v Speaker 13>processing technologies to make that phishing email much more believable.

0:35:22.480 --> 0:35:25.000
<v Speaker 13>It really does look like it's coming from your bank

0:35:25.600 --> 0:35:30.200
<v Speaker 13>or from a vendor that you use. And so the

0:35:30.719 --> 0:35:35.480
<v Speaker 13>last line of defense, always beyond technology, is people, and

0:35:35.520 --> 0:35:38.320
<v Speaker 13>the need for all of us to become more educated

0:35:38.360 --> 0:35:43.120
<v Speaker 13>and just cyber aware is more important than ever. So

0:35:43.320 --> 0:35:47.160
<v Speaker 13>there's always that human edge that can make the difference

0:35:47.239 --> 0:35:49.960
<v Speaker 13>on top of technology to keep us all a little

0:35:50.000 --> 0:35:53.000
<v Speaker 13>bit safer. When cyber criminals cannot make money off of

0:35:53.520 --> 0:35:56.880
<v Speaker 13>global citizens, then we start to break that economic model,

0:35:57.120 --> 0:35:57.400
<v Speaker 13>all right.

0:35:57.440 --> 0:36:00.280
<v Speaker 5>Thanks to Secure Work CEO Wendy Thomas.

0:36:00.160 --> 0:36:04.680
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