1 00:00:02,480 --> 00:00:06,800 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. 2 00:00:09,760 --> 00:00:12,920 Speaker 2: Good morning, I'm Nathan Hager and I'm Karen Moscow. Here 3 00:00:12,960 --> 00:00:14,680 Speaker 2: are the stories we're following today. 4 00:00:15,080 --> 00:00:18,720 Speaker 3: Karen, we begin with some key primary results across the country. 5 00:00:18,800 --> 00:00:21,720 Speaker 3: First stop is New York, with results from the most 6 00:00:21,760 --> 00:00:26,000 Speaker 3: expensive congressional primary in US history. Let's get the latest 7 00:00:26,000 --> 00:00:27,160 Speaker 3: with Bloomberg's John Tucker. 8 00:00:27,160 --> 00:00:30,720 Speaker 4: In New York, John Nathan, Westchester County's top elected official, 9 00:00:30,920 --> 00:00:36,080 Speaker 4: Pro Israel centrist George Latimer defeated incumbent Jamal Bowman, a 10 00:00:36,120 --> 00:00:39,239 Speaker 4: member of the so called squad at Progressive Democrats on 11 00:00:39,240 --> 00:00:43,120 Speaker 4: Capitol Hill. Latimer's win is a boost of more moderate Democrats. 12 00:00:43,400 --> 00:00:45,680 Speaker 4: His victory speech was an appeal for unity. 13 00:00:46,240 --> 00:00:48,560 Speaker 5: We have to look at the arguments of the far 14 00:00:48,720 --> 00:00:52,360 Speaker 5: right and the far left and say you cannot destroy 15 00:00:52,440 --> 00:00:55,320 Speaker 5: this country with your rhetoric and your arguments. 16 00:00:55,480 --> 00:00:57,880 Speaker 4: One of the top issues was the war in Gaza. 17 00:00:58,280 --> 00:01:01,760 Speaker 4: Bowman hammered it home and his session speech, we. 18 00:01:01,880 --> 00:01:07,400 Speaker 5: Will never stand for the bombing and killing of babies 19 00:01:07,480 --> 00:01:08,160 Speaker 5: in Gaza. 20 00:01:08,400 --> 00:01:12,720 Speaker 4: The closely watched campaign devolved into bittery infighting, but symbolized 21 00:01:12,800 --> 00:01:15,880 Speaker 4: larger divisions within the party nationally, a riff that some 22 00:01:16,000 --> 00:01:20,080 Speaker 4: Democrats Worr he could damage President Biden's reelection and spending 23 00:01:20,080 --> 00:01:22,840 Speaker 4: in the race clocked in in and eye popping twenty 24 00:01:22,880 --> 00:01:26,040 Speaker 4: three million dollars. With seventy one percent of the votes counted, 25 00:01:26,319 --> 00:01:29,679 Speaker 4: Latimer was ahead fifty five point eight percent to forty 26 00:01:29,680 --> 00:01:33,000 Speaker 4: four point three percent. His victory in the heavily democratic 27 00:01:33,080 --> 00:01:36,280 Speaker 4: sixteenth District all but insures will win the general election 28 00:01:36,680 --> 00:01:38,759 Speaker 4: in New York. I'm John Tucker, Bloomberg. 29 00:01:38,440 --> 00:01:41,319 Speaker 2: Radio, All right, John, Thanks well. Besides New York, three 30 00:01:41,360 --> 00:01:45,080 Speaker 2: other states held congressional primaries, and Republican candidates back by 31 00:01:45,120 --> 00:01:48,080 Speaker 2: Donald Trump came up short in two of them. In 32 00:01:48,120 --> 00:01:51,640 Speaker 2: South Carolina's third and district, Sherry Biggs defeated Mark Burns 33 00:01:51,680 --> 00:01:54,680 Speaker 2: in a runoff election fifty one percent to forty nine percent. 34 00:01:55,040 --> 00:01:56,440 Speaker 1: Biggs is a political. 35 00:01:56,040 --> 00:01:59,720 Speaker 2: Newcomer who was backed by South Carolina's governor, Henry McMaster. 36 00:02:00,120 --> 00:02:03,040 Speaker 2: Burns is a black pastor who supported Trump for nearly 37 00:02:03,120 --> 00:02:06,560 Speaker 2: a decade, though the former president did not campaign for him. 38 00:02:06,760 --> 00:02:09,720 Speaker 3: In Utah, hearen the race for Mitt Romney's open Senate 39 00:02:09,760 --> 00:02:13,440 Speaker 3: seat goes to Congressman John Curtis. He won with fifty 40 00:02:13,480 --> 00:02:17,080 Speaker 3: point seven percent, defeating a Trump endorsed Mayor Trent Staggs 41 00:02:17,280 --> 00:02:20,920 Speaker 3: and two other Trump supporting candidates. And in Colorado, Congresswoman 42 00:02:21,040 --> 00:02:25,000 Speaker 3: Lauren Bobert won her bid for reelection after switching districts 43 00:02:25,040 --> 00:02:28,520 Speaker 3: to run for retiring Ken Buck's open house seat. Bobert 44 00:02:28,520 --> 00:02:31,799 Speaker 3: defeated several lesser known candidates with forty three point three 45 00:02:31,880 --> 00:02:32,920 Speaker 3: percent of the vote. 46 00:02:33,080 --> 00:02:36,160 Speaker 2: Well, Nathan, as we continue to assess the primary results, 47 00:02:36,240 --> 00:02:38,520 Speaker 2: we are now just one day away from the first 48 00:02:38,520 --> 00:02:42,079 Speaker 2: presidential debate between Joe Biden and Donald Trump. The ninety 49 00:02:42,120 --> 00:02:45,560 Speaker 2: minute debate will include no audience and the candidate's microphones 50 00:02:45,560 --> 00:02:47,919 Speaker 2: will be turned off when it's not their turn to speak. 51 00:02:48,160 --> 00:02:51,200 Speaker 1: Bloomberry. David Gurra is covering debate for US in Atlanta. 52 00:02:51,480 --> 00:02:53,760 Speaker 6: It'll be strange it hearkens back to the debate in 53 00:02:53,919 --> 00:02:56,359 Speaker 6: nineteen sixty and Mark Thompson, who runs CNN now, has 54 00:02:56,400 --> 00:02:59,280 Speaker 6: been very clear about that he wants to return to 55 00:02:59,320 --> 00:03:02,200 Speaker 6: the sort of Kennedy Nixon style intimate debate on a 56 00:03:02,240 --> 00:03:05,000 Speaker 6: stage without the presence of an audience. And we're going 57 00:03:05,040 --> 00:03:07,040 Speaker 6: to have the moderators of the debate, Dana Bash and 58 00:03:07,120 --> 00:03:09,360 Speaker 6: Jake Tapper, with the ability to mute the candidates while 59 00:03:09,760 --> 00:03:12,880 Speaker 6: each other is speaking. It'll be very interesting to see 60 00:03:12,919 --> 00:03:15,800 Speaker 6: how each feeds off that lack of audience, if that 61 00:03:15,880 --> 00:03:18,280 Speaker 6: makes sense. We know of Donald Trump, the former president, 62 00:03:18,320 --> 00:03:20,880 Speaker 6: and how he loves to speak to big crowds, how 63 00:03:20,919 --> 00:03:23,679 Speaker 6: that animates him. This will be an entirely different thing 64 00:03:23,720 --> 00:03:26,240 Speaker 6: to be in this studio, in a room with just 65 00:03:26,280 --> 00:03:28,840 Speaker 6: the moderators and his opponent, with the President, Joe Biden. 66 00:03:29,080 --> 00:03:31,880 Speaker 2: Bloomberg's David Gerrol will be part of our special coverage 67 00:03:31,880 --> 00:03:34,720 Speaker 2: of the CNN presidential debate. It all begins tomorrow night 68 00:03:34,720 --> 00:03:37,640 Speaker 2: at eight pm Wall Street Time with this special edition 69 00:03:37,680 --> 00:03:40,280 Speaker 2: of Balance of Power with Joe, Matthew and Kayley Lines 70 00:03:40,320 --> 00:03:43,280 Speaker 2: in Washington. Listen to the debate on Bloomberg Radio or 71 00:03:43,360 --> 00:03:45,080 Speaker 2: watch it on Bloomberg Television. 72 00:03:45,360 --> 00:03:47,080 Speaker 3: Now Karen to the latest on the war in the 73 00:03:47,120 --> 00:03:49,840 Speaker 3: Middle East. Defense Secretary Lloyd Austin is warning that a 74 00:03:49,880 --> 00:03:53,200 Speaker 3: clash between Israel and Hesbelah could set off a new war. 75 00:03:53,320 --> 00:03:55,320 Speaker 3: Bloomberg Zed Baxter has the story. 76 00:03:55,680 --> 00:03:59,640 Speaker 7: Austin, standing beside Israeli Foreign Minister Jov Golan sent out 77 00:03:59,640 --> 00:04:03,960 Speaker 7: the message to the globe generally and Israel specifically. This 78 00:04:04,080 --> 00:04:07,080 Speaker 7: is Israeli Prime Minister Benjamin that Yahoo pulls troops to 79 00:04:07,120 --> 00:04:08,800 Speaker 7: the north near has Bela. 80 00:04:09,040 --> 00:04:12,440 Speaker 8: Another war between Israel and Hisbela could easily become a 81 00:04:12,480 --> 00:04:16,320 Speaker 8: regional war with terrible consequences for the Middle East. 82 00:04:16,680 --> 00:04:19,960 Speaker 7: Austin's message to has belaws that has provocations threatened to 83 00:04:20,040 --> 00:04:23,839 Speaker 7: drag the Israeli and Lebanese people into a war they 84 00:04:23,960 --> 00:04:27,240 Speaker 7: do not want. Ad Baxter, Bloomberg Radio. 85 00:04:27,400 --> 00:04:28,039 Speaker 1: Right and thanks. 86 00:04:28,040 --> 00:04:30,279 Speaker 2: We turned to the markets now in nearly seven percent 87 00:04:30,400 --> 00:04:34,440 Speaker 2: rally and Nvidia shares HOWP tech stocks bounce back yesterday. 88 00:04:34,680 --> 00:04:37,800 Speaker 2: The Nasdaq rose one point two percent and NASDAK futures 89 00:04:37,800 --> 00:04:41,440 Speaker 2: are higher once again this morning. So Rebecca Patterson, former 90 00:04:41,560 --> 00:04:44,960 Speaker 2: chief investment officer at Bridgewater Associate, says there could be 91 00:04:45,000 --> 00:04:46,800 Speaker 2: some headwinds for investors. 92 00:04:47,080 --> 00:04:49,039 Speaker 9: I do think as we get closer to the election, 93 00:04:49,600 --> 00:04:52,479 Speaker 9: as we're higher for longer on fed funds for longer, 94 00:04:52,960 --> 00:04:55,800 Speaker 9: that equity gains could be more limited. From here. We've 95 00:04:55,839 --> 00:04:58,680 Speaker 9: had a huge run up already, notwithstanding the couple days 96 00:04:58,720 --> 00:05:03,320 Speaker 9: pullback we got, so I'm not looking to reduce equities 97 00:05:03,400 --> 00:05:05,120 Speaker 9: or get out of equities in the short term. 98 00:05:05,440 --> 00:05:08,880 Speaker 2: And former Bridgewater CIO or Rebecca Patterson notes the S 99 00:05:08,920 --> 00:05:12,160 Speaker 2: and P five hundred is up almost fifteen percent this year. 100 00:05:12,120 --> 00:05:14,720 Speaker 3: And helping give a boost to the markets this morning 101 00:05:14,960 --> 00:05:18,920 Speaker 3: is FedEx Karen. Those shares are higher by nearly thirteen percent. 102 00:05:19,000 --> 00:05:22,599 Speaker 3: In early trading, the company delivered a profit forecast above 103 00:05:22,720 --> 00:05:26,080 Speaker 3: Wall Street's expectations. More from Bloomberg's Doug Prisner. 104 00:05:26,560 --> 00:05:29,479 Speaker 10: It comes after a slew of cost cutting measures aimed 105 00:05:29,480 --> 00:05:33,599 Speaker 10: at increasing margins and coping with sluggish demand. FedEx is 106 00:05:33,640 --> 00:05:36,960 Speaker 10: expecting two point two billion dollars of permanent cost savings 107 00:05:37,000 --> 00:05:39,599 Speaker 10: in the fiscal year. The company also hinted at a 108 00:05:39,640 --> 00:05:43,919 Speaker 10: possible divestiture of its freight business FedEx it's assessing the 109 00:05:44,000 --> 00:05:47,120 Speaker 10: unit's place in the company's portfolio, and on top of that, 110 00:05:47,480 --> 00:05:49,800 Speaker 10: FedEx is expecting to buy back two and a half 111 00:05:49,880 --> 00:05:53,360 Speaker 10: billion dollars worth of common stock in fiscal twenty twenty five. 112 00:05:53,839 --> 00:05:57,120 Speaker 10: The company is also forecasting capital spending of five point 113 00:05:57,200 --> 00:06:02,599 Speaker 10: two billion. This will include fleet and facility modernization and automation. 114 00:06:03,160 --> 00:06:05,160 Speaker 10: In New York, I'm Doug Prisner, Bloomberg Radio. 115 00:06:05,360 --> 00:06:07,480 Speaker 2: All Right, Doug banks Well. Fedech's shares are not the 116 00:06:07,480 --> 00:06:10,200 Speaker 2: only ones on the move this morning. Rivian a surging 117 00:06:10,240 --> 00:06:13,080 Speaker 2: more than thirty seven percent. The ev maker is getting 118 00:06:13,080 --> 00:06:15,720 Speaker 2: a much needed cash in fusion through a new partnership 119 00:06:15,720 --> 00:06:19,720 Speaker 2: with Volkswagen. BW will make an initial billion dollar investment 120 00:06:19,760 --> 00:06:22,800 Speaker 2: in Rivian and up to four billion dollars more over time. 121 00:06:23,240 --> 00:06:26,720 Speaker 2: The Surprise TIAT provides Rivian with a financial lifeline after 122 00:06:26,800 --> 00:06:29,479 Speaker 2: it has struggled to ramp up production and deliveries of 123 00:06:29,520 --> 00:06:31,760 Speaker 2: its electric pickup and sub models. 124 00:06:32,000 --> 00:06:35,159 Speaker 3: And Karen Disney maybe giving an even faster pass to 125 00:06:35,400 --> 00:06:38,520 Speaker 3: visitors at Walt Disney World. Disney's Florida theme parks will 126 00:06:38,520 --> 00:06:41,360 Speaker 3: now let park goers reserve a space in shorter lines 127 00:06:41,360 --> 00:06:44,400 Speaker 3: for rides up to a week in advance. Right now, 128 00:06:44,480 --> 00:06:47,080 Speaker 3: visitors can only book a day ahead on the Genie 129 00:06:47,080 --> 00:06:51,000 Speaker 3: Plus reservation system. The new system will be called Lightning 130 00:06:51,080 --> 00:06:54,599 Speaker 3: Lane Multipass. Guests at Disney hotels will be able to 131 00:06:54,600 --> 00:06:57,240 Speaker 3: make seven day reservations fro up to three rides. Other 132 00:06:57,279 --> 00:06:59,680 Speaker 3: guests will get to book three days ahead. Price is 133 00:06:59,800 --> 00:07:02,000 Speaker 3: very depending on the park and time of day. The 134 00:07:02,040 --> 00:07:04,880 Speaker 3: three day multi pass will start at fifteen dollars. The 135 00:07:04,880 --> 00:07:08,160 Speaker 3: most popular rides can start at ten bucks. The changes 136 00:07:08,400 --> 00:07:10,120 Speaker 3: take effect July twenty. 137 00:07:09,840 --> 00:07:13,440 Speaker 2: Fourth, and my another note here, Nathan Bloomberg Business Week 138 00:07:13,560 --> 00:07:16,400 Speaker 2: is out with a new monthly magazine that's redesigned from 139 00:07:16,400 --> 00:07:19,120 Speaker 2: the ground up. Check out the cover story on Bloomberg 140 00:07:19,200 --> 00:07:22,040 Speaker 2: dot com and the Bloomberg Terminal, featuring an interview with 141 00:07:22,080 --> 00:07:24,920 Speaker 2: Bernard Arnault, the head of LVMH and. 142 00:07:25,080 --> 00:07:26,640 Speaker 1: One of the richest people on Earth. 143 00:07:26,880 --> 00:07:29,960 Speaker 2: The new magazine puts an emphasis on original photography and 144 00:07:30,040 --> 00:07:33,720 Speaker 2: includes new story formats to give you context, analysis and 145 00:07:33,920 --> 00:07:36,520 Speaker 2: perspectives that provide new ways. 146 00:07:36,240 --> 00:07:39,000 Speaker 1: To think about the world. Check it all out the. 147 00:07:38,960 --> 00:07:46,040 Speaker 2: New Bloomberg BusinessWeek at Bloomberg dot com. And it's time 148 00:07:46,080 --> 00:07:47,560 Speaker 2: now for a look at some of the other stories 149 00:07:47,560 --> 00:07:49,520 Speaker 2: making news in New York and around the world. From that, 150 00:07:49,560 --> 00:07:53,080 Speaker 2: we're joined by Bloomberg So Michael Barr, Michael, good Morning, Good. 151 00:07:52,800 --> 00:07:56,520 Speaker 11: Morning, Karen wall Street journal reporter Evan Gerskovich went on 152 00:07:56,600 --> 00:08:01,360 Speaker 11: trial behind closed doors in the Russian EuroCity of Caterinberg, 153 00:08:01,720 --> 00:08:05,600 Speaker 11: fifteen months after his arrest on espionage charges that he 154 00:08:05,760 --> 00:08:10,160 Speaker 11: his employer and the US government vehemently denied. The thirty 155 00:08:10,200 --> 00:08:13,480 Speaker 11: two year old journalist appeared in the court in a 156 00:08:13,480 --> 00:08:17,560 Speaker 11: glass defendant's cage with his head shaved. Griskevich is the 157 00:08:17,560 --> 00:08:22,160 Speaker 11: first Western journalist arrested on espionage charges in the post's 158 00:08:22,200 --> 00:08:26,920 Speaker 11: Soviet Russia. The State Department has declared him wrongfully detained. 159 00:08:27,480 --> 00:08:30,239 Speaker 11: Wiki Leak's founder, Julian Assage, is on a plane heading 160 00:08:30,240 --> 00:08:33,880 Speaker 11: to his home country of Australia. Massage was sentenced time 161 00:08:34,080 --> 00:08:38,040 Speaker 11: served all in Britain as part of a plea agreement 162 00:08:38,120 --> 00:08:42,160 Speaker 11: with the US Justice Department that secures his freedom. The 163 00:08:42,240 --> 00:08:45,280 Speaker 11: plea was entered in the US court in Saipan. The 164 00:08:45,360 --> 00:08:49,040 Speaker 11: judge pronounced him a freeman after imposing the sentence. Lawyer 165 00:08:49,120 --> 00:08:52,920 Speaker 11: Jennifer Robinson has been representing as Sage in Australia and 166 00:08:53,120 --> 00:08:53,640 Speaker 11: the UK. 167 00:08:54,080 --> 00:08:57,199 Speaker 12: Julane has suffered for more than fourteen years because of 168 00:08:57,240 --> 00:09:00,280 Speaker 12: the risk of extradition to the United States. It's one 169 00:09:00,360 --> 00:09:03,760 Speaker 12: hundred and seventy five years in prison for publishing evidence 170 00:09:03,800 --> 00:09:07,760 Speaker 12: of war crimes, human rights abuse, and US wrongdoing around 171 00:09:07,760 --> 00:09:08,160 Speaker 12: the world. 172 00:09:08,640 --> 00:09:12,760 Speaker 11: In a no holds Barred report, the National Transportation Safety 173 00:09:12,760 --> 00:09:16,440 Speaker 11: Board called out a rail giant, Norfolk Southern, and the 174 00:09:16,480 --> 00:09:20,600 Speaker 11: handling of last year's train to railmen in East Palestine, Ohio. 175 00:09:21,080 --> 00:09:24,240 Speaker 11: Norfolk Southern was criticized on everything from the faulty wheel 176 00:09:24,440 --> 00:09:27,240 Speaker 11: that led to the trains going off the tracks to 177 00:09:27,400 --> 00:09:33,040 Speaker 11: the company's lack of cooperation during the investigation. NTSB chair Jennifer. 178 00:09:32,600 --> 00:09:37,120 Speaker 13: Hammedy Norfolk Southern tried to submit their investigation their own 179 00:09:37,240 --> 00:09:40,480 Speaker 13: investigation under the guise of a party submission, not once, 180 00:09:41,080 --> 00:09:44,520 Speaker 13: not twice, not three times, but four times. 181 00:09:44,679 --> 00:09:48,480 Speaker 11: The NTSB's Jennifer Hammedy also pointed out it was unnecessary 182 00:09:48,520 --> 00:09:53,360 Speaker 11: for Norfolk Southern to recommend firefighters perform a vent and burn, 183 00:09:53,720 --> 00:09:58,080 Speaker 11: which potentially cause further health hazards. President Joe Biden will 184 00:09:58,080 --> 00:10:01,840 Speaker 11: issue a proclamation giving back clemency the US service members 185 00:10:01,920 --> 00:10:05,920 Speaker 11: convicted of charges under a Cold War era purge of 186 00:10:06,040 --> 00:10:09,880 Speaker 11: gay and lesbian people, reversing a decades long policy of 187 00:10:09,880 --> 00:10:13,439 Speaker 11: discrimination that forced and estimated one hundred thousand people from 188 00:10:13,480 --> 00:10:16,800 Speaker 11: the military. Global News twenty four hours a day and 189 00:10:16,920 --> 00:10:19,839 Speaker 11: whenever you want it with Bloomberg News Now. I'm Michael 190 00:10:19,880 --> 00:10:21,679 Speaker 11: barn This is Bloomberg. 191 00:10:21,200 --> 00:10:28,760 Speaker 2: Cart Jerry, Michael, thank you time for the Bloomberg Sports 192 00:10:28,840 --> 00:10:30,120 Speaker 2: Update with John stash Hour. 193 00:10:30,240 --> 00:10:32,360 Speaker 5: John, Good morning, Good morning Caroon. On the eve of 194 00:10:32,360 --> 00:10:35,240 Speaker 5: the NBA Draft, It begins tonight in Brooklyn. A big trade. 195 00:10:35,320 --> 00:10:38,040 Speaker 5: It was between the Knicks and the Nets. The Knicks 196 00:10:37,840 --> 00:10:40,400 Speaker 5: had accumulated a boatload of draft picks, and most of 197 00:10:40,400 --> 00:10:43,680 Speaker 5: those picks are now moving burrows Is. The Nets get 198 00:10:43,720 --> 00:10:46,560 Speaker 5: the Knicks first rounder tonight and future first rounders in 199 00:10:46,600 --> 00:10:50,280 Speaker 5: twenty twenty seven, twenty nine, and thirty one in exchange. 200 00:10:50,679 --> 00:10:53,120 Speaker 5: The Nets traded to the Knicks. They're best player at 201 00:10:53,120 --> 00:10:56,640 Speaker 5: Michael Bridges, so the Knicks have now yet another former 202 00:10:56,720 --> 00:11:00,640 Speaker 5: Villanova stars. Bridges will be reunited with his college teammates 203 00:11:00,720 --> 00:11:04,160 Speaker 5: Jalen Brunson, Josh Hart, and Dante Devencenzo. Atlanta has the 204 00:11:04,200 --> 00:11:07,000 Speaker 5: first pick tonight, then Washington and both may take French 205 00:11:07,360 --> 00:11:11,280 Speaker 5: teenager Zachary Reezushia and seven footer Alex Starr a top 206 00:11:11,320 --> 00:11:14,680 Speaker 5: most mock draft boards. Another French teenager, Victor Wembinyama, was 207 00:11:14,679 --> 00:11:17,079 Speaker 5: taken first a year ago. While the Knicks and Nets 208 00:11:17,120 --> 00:11:19,360 Speaker 5: made the trade. The Mets played the Yankees and Mark 209 00:11:19,400 --> 00:11:22,560 Speaker 5: Biento's came up fourth inning, heaving already homered. 210 00:11:22,240 --> 00:11:25,600 Speaker 14: Once is cracked in the air on a line toward 211 00:11:25,720 --> 00:11:27,240 Speaker 14: right center, it is. 212 00:11:27,360 --> 00:11:28,480 Speaker 1: Off the top of the loaf. 213 00:11:28,640 --> 00:11:29,320 Speaker 15: Thank god. 214 00:11:30,640 --> 00:11:35,319 Speaker 14: Fientos hits an absolute laser to right center and hit 215 00:11:35,360 --> 00:11:38,000 Speaker 14: the top of the wall and pumped into the Yankee bullpen, 216 00:11:38,880 --> 00:11:41,520 Speaker 14: his second home run of the night on WCBS. 217 00:11:41,559 --> 00:11:44,600 Speaker 5: Both Viento's homers came up Garrett Cole, who also served 218 00:11:44,679 --> 00:11:47,200 Speaker 5: up homers by Harrison Vader and Brandon Nimo. The Mets 219 00:11:47,200 --> 00:11:49,520 Speaker 5: built up a big lead and then held on after 220 00:11:49,559 --> 00:11:51,600 Speaker 5: an Aaron Judge grand slam in the eighth inning. They 221 00:11:51,679 --> 00:11:53,719 Speaker 5: beat the Yankees nine to seven. The Mets have won 222 00:11:53,760 --> 00:11:56,280 Speaker 5: ten of their last twelve, and half those wins they've 223 00:11:56,280 --> 00:11:58,840 Speaker 5: scored nine or more runs. Yanks have lost seven of nine. 224 00:11:58,880 --> 00:12:01,360 Speaker 5: In six of the seven they've given up at least 225 00:12:01,360 --> 00:12:03,640 Speaker 5: seven run series In tonight at City Field, seventh raight 226 00:12:03,679 --> 00:12:06,480 Speaker 5: win for Cleveland ten six in Baltimore. Guardians of the 227 00:12:06,520 --> 00:12:09,760 Speaker 5: best record in Baseball. John Stashedwer, Bloomberg Sports, Karen. 228 00:12:09,600 --> 00:12:16,000 Speaker 8: Eathan Coast to Coast on Bloomberg Radio, nationwide on Sirius XM, 229 00:12:16,200 --> 00:12:19,120 Speaker 8: and around the world on Bloomberg dot Com and the 230 00:12:19,160 --> 00:12:20,400 Speaker 8: Bloomberg Business app. 231 00:12:20,600 --> 00:12:24,280 Speaker 3: This is Bloomberg Daybreak. Good morning on Nathan Hager. We 232 00:12:24,320 --> 00:12:26,599 Speaker 3: want to turn down to a conversation from the Bloomberg 233 00:12:26,720 --> 00:12:31,080 Speaker 3: invest Conference in New York. Cliff Astez, founder managing principal 234 00:12:31,080 --> 00:12:34,680 Speaker 3: and chief investment officer at AQR Capital Management, spoke to 235 00:12:34,720 --> 00:12:39,120 Speaker 3: Bloomberg Shanali Bassek in a wide ranging conversation touching on 236 00:12:39,240 --> 00:12:42,600 Speaker 3: active and passive investing and the rise of meme stocks. 237 00:12:42,880 --> 00:12:46,040 Speaker 3: They began by talking about the efficiency of the market today. 238 00:12:46,120 --> 00:12:46,640 Speaker 3: Let's listen. 239 00:12:46,640 --> 00:12:51,040 Speaker 16: In efficient is this idea that prices are accurately reflecting fundamentals. 240 00:12:51,080 --> 00:12:53,520 Speaker 16: This can get really geeky on how to define that, 241 00:12:53,559 --> 00:12:57,160 Speaker 16: but let's just be colloquial. I do have a view. 242 00:12:57,559 --> 00:12:59,480 Speaker 16: It's not a short term view. It's not a market 243 00:12:59,480 --> 00:13:04,920 Speaker 16: call that again, markets are never perfectly efficient. But over 244 00:13:05,000 --> 00:13:09,240 Speaker 16: my career, which is annoyingly about thirty two years now, 245 00:13:10,200 --> 00:13:12,160 Speaker 16: I guess the opposite would be even more annoying, but 246 00:13:12,360 --> 00:13:14,840 Speaker 16: it's a long time. I'm a little obsessed these days 247 00:13:14,840 --> 00:13:17,360 Speaker 16: with those internet memes of when they show you like 248 00:13:17,400 --> 00:13:21,320 Speaker 16: an actor like Ed Asner in Mary Tyler Moore was 249 00:13:21,400 --> 00:13:23,640 Speaker 16: ten years younger than me when he did the World's 250 00:13:23,720 --> 00:13:28,439 Speaker 16: Very Upsetting. But over my career, I actually think markets 251 00:13:28,480 --> 00:13:32,560 Speaker 16: have gotten somewhat less efficient, meaning prices are a little 252 00:13:32,600 --> 00:13:34,280 Speaker 16: bit more disconnected from reality. 253 00:13:34,600 --> 00:13:35,280 Speaker 15: It ebbs and. 254 00:13:35,200 --> 00:13:38,000 Speaker 16: Flows, It's never the same at each point in time. 255 00:13:38,920 --> 00:13:42,079 Speaker 16: But I find that an odd view because one tends 256 00:13:42,120 --> 00:13:46,640 Speaker 16: to think as technology in particular advances that things should 257 00:13:46,679 --> 00:13:52,160 Speaker 16: march towards better, with better I think being efficiency in 258 00:13:52,200 --> 00:13:56,440 Speaker 16: this case, and I actually, I actually think maybe I'm 259 00:13:56,440 --> 00:13:58,880 Speaker 16: biased by having a front row seat, but I think 260 00:13:58,920 --> 00:14:01,320 Speaker 16: over the last thirty so years, i'd say the market 261 00:14:01,360 --> 00:14:03,160 Speaker 16: is somewhat less efficient than when I started. 262 00:14:03,360 --> 00:14:05,760 Speaker 17: So why do you say that is what is causing 263 00:14:05,800 --> 00:14:06,560 Speaker 17: it to be that way? 264 00:14:06,960 --> 00:14:11,160 Speaker 16: It's well, first I start out by just observing a 265 00:14:11,160 --> 00:14:14,160 Speaker 16: few facts, and I do, and I am of course 266 00:14:14,200 --> 00:14:16,599 Speaker 16: biased by what I've lived through, but I love the 267 00:14:16,760 --> 00:14:22,480 Speaker 16: genus presentation. The dot com bubble stuff was bringing, you know, 268 00:14:22,560 --> 00:14:27,560 Speaker 16: PTSD like memories for me. We try to very formally 269 00:14:27,640 --> 00:14:31,600 Speaker 16: measure how disconnected from reality or not, or how or 270 00:14:31,640 --> 00:14:35,000 Speaker 16: how reasonable our stock prices, in particular, not the price 271 00:14:35,000 --> 00:14:38,000 Speaker 16: of the whole market, but within the stock market, are 272 00:14:38,120 --> 00:14:40,760 Speaker 16: you know, cheap versus expensive stocks? You could define that 273 00:14:40,880 --> 00:14:43,680 Speaker 16: very narrowly in a quant sense, in terms of just multiples. 274 00:14:44,040 --> 00:14:45,840 Speaker 16: You could define it more broadly in terms of a 275 00:14:45,880 --> 00:14:46,840 Speaker 16: gram and DoD sense. 276 00:14:47,400 --> 00:14:48,200 Speaker 15: Yeah you want to pay. 277 00:14:48,080 --> 00:14:49,960 Speaker 16: A little multiple, but what's the quality of the stock, 278 00:14:50,000 --> 00:14:53,080 Speaker 16: what's the risk of the stock. But either way, measured 279 00:14:53,200 --> 00:14:57,600 Speaker 16: very formally, the dot com bubble saw by far the 280 00:14:57,720 --> 00:15:01,400 Speaker 16: largest disparity between cheap and expensive we had ever seen 281 00:15:01,440 --> 00:15:02,720 Speaker 16: in about fifty years of data. 282 00:15:03,400 --> 00:15:05,280 Speaker 15: We survived that. It was a little ugly for a while, 283 00:15:05,320 --> 00:15:06,680 Speaker 15: but we actually thrive through it. 284 00:15:06,680 --> 00:15:08,120 Speaker 16: If you take the whole round trip, But when you 285 00:15:08,160 --> 00:15:11,240 Speaker 16: almost die in the first half, you tend to remember that. 286 00:15:12,560 --> 00:15:15,160 Speaker 16: If you had asked me in say two thousand and two, 287 00:15:15,480 --> 00:15:17,800 Speaker 16: when all of that excess was pretty much worked off, 288 00:15:18,480 --> 00:15:20,360 Speaker 16: are you going to see something more extreme than that 289 00:15:20,400 --> 00:15:24,560 Speaker 16: in your career. I think I'm smart enough even back 290 00:15:24,600 --> 00:15:28,080 Speaker 16: then to never say never. We don't live in a 291 00:15:28,080 --> 00:15:29,800 Speaker 16: business where any of us should say never. It's a 292 00:15:29,880 --> 00:15:32,360 Speaker 16: dangerous word, but I think I would have said, it's 293 00:15:32,400 --> 00:15:33,720 Speaker 16: highly unlikely. 294 00:15:33,640 --> 00:15:35,840 Speaker 15: That was the craziest thing we had seen in fifty years. 295 00:15:36,520 --> 00:15:39,120 Speaker 16: I would have said, well, in twenty years, people like 296 00:15:39,160 --> 00:15:42,200 Speaker 16: me will still be around. I hope who with some memory. 297 00:15:42,240 --> 00:15:45,400 Speaker 16: It's not one hundred years where everyone is forgotten. And 298 00:15:45,440 --> 00:15:50,040 Speaker 16: then pre COVID it was close. And then after COVID hitting, 299 00:15:50,120 --> 00:15:55,960 Speaker 16: we saw things measured very similarly price price multiples or 300 00:15:55,960 --> 00:15:57,440 Speaker 16: even price multiple scale by. 301 00:15:57,400 --> 00:16:01,320 Speaker 15: Quality to go to level well beyond the. 302 00:16:01,280 --> 00:16:06,200 Speaker 16: Tech bubble and lasting about doubly as long as the 303 00:16:06,240 --> 00:16:09,480 Speaker 16: tech bubble if you ever have the misfortune to have 304 00:16:09,520 --> 00:16:12,680 Speaker 16: an investment that ever goes down for any amount of time, 305 00:16:13,880 --> 00:16:16,320 Speaker 16: you will learn something that they don't teach you in 306 00:16:16,360 --> 00:16:21,640 Speaker 16: a PhD program. Severity is bad, but duration is underrated 307 00:16:21,640 --> 00:16:25,880 Speaker 16: when it comes to pain. Three years of pain, even 308 00:16:25,960 --> 00:16:28,360 Speaker 16: if it's cumulatively not worse than a year and a 309 00:16:28,400 --> 00:16:31,960 Speaker 16: half of pain, is a ton worse. The first year, 310 00:16:32,000 --> 00:16:33,560 Speaker 16: you go back to your clients and go, we think 311 00:16:33,600 --> 00:16:35,480 Speaker 16: we're right, look what's going on here. 312 00:16:35,800 --> 00:16:37,000 Speaker 15: They go, okay, okay. 313 00:16:37,280 --> 00:16:40,280 Speaker 16: The second year they're like, that's the same thing you 314 00:16:40,320 --> 00:16:44,240 Speaker 16: said a year ago, and you go, yeah, but it's 315 00:16:44,280 --> 00:16:46,040 Speaker 16: still going on and we're still going to be right. 316 00:16:46,480 --> 00:16:51,120 Speaker 16: The third year, I mean, your mom's still invested, but 317 00:16:51,320 --> 00:16:52,200 Speaker 16: it's getting tougher. 318 00:16:52,720 --> 00:16:55,040 Speaker 15: So duration counts. So we've seen both the severity and 319 00:16:55,080 --> 00:16:55,920 Speaker 15: the duration of those. 320 00:16:56,120 --> 00:16:59,880 Speaker 16: So I start out just observing facts and then trying 321 00:16:59,880 --> 00:17:02,480 Speaker 16: to feel and why. Admittedly, this is a lot of 322 00:17:02,480 --> 00:17:05,239 Speaker 16: op ed. This is very hard to prove. And I 323 00:17:05,280 --> 00:17:08,159 Speaker 16: love to you know, I'm a card carrying quant I 324 00:17:08,200 --> 00:17:10,879 Speaker 16: love to, you know, produce tables. I can show you 325 00:17:10,920 --> 00:17:15,480 Speaker 16: these spreads, But why, and I tend to have I 326 00:17:15,560 --> 00:17:18,399 Speaker 16: think it's a multitude of things. I think the number 327 00:17:18,480 --> 00:17:22,119 Speaker 16: one thing is probably the thing we all love to blame, 328 00:17:22,280 --> 00:17:26,840 Speaker 16: the Internet and social media. I think a lot of 329 00:17:26,840 --> 00:17:29,680 Speaker 16: people naturally assume such a thing would bring us information 330 00:17:29,840 --> 00:17:33,880 Speaker 16: so quickly and so ubiquitously knowing everything that prices would 331 00:17:33,920 --> 00:17:38,520 Speaker 16: be very efficient. But that's never been the hard part. 332 00:17:38,920 --> 00:17:41,440 Speaker 16: When I started in this industry, we got earnings and 333 00:17:41,480 --> 00:17:45,680 Speaker 16: within twenty minutes they're missing twenty minutes, and a nanosecond 334 00:17:45,760 --> 00:17:48,560 Speaker 16: matters to an HFT, it doesn't matter to almost every 335 00:17:48,560 --> 00:17:52,399 Speaker 16: other investor. We didn't really materially get more. And I 336 00:17:52,440 --> 00:17:56,080 Speaker 16: do think that level of information overload gives people a 337 00:17:56,080 --> 00:17:59,880 Speaker 16: lot of illusion of control. You know, I don't want 338 00:17:59,880 --> 00:18:01,520 Speaker 16: to go into this deeply because I know you'd like 339 00:18:01,560 --> 00:18:03,399 Speaker 16: to get me going on this, but I think the 340 00:18:03,480 --> 00:18:07,479 Speaker 16: Meme stock examples, I don't think they're a norm by 341 00:18:07,480 --> 00:18:09,960 Speaker 16: any means, but I think they're the ultimate example of 342 00:18:10,040 --> 00:18:14,000 Speaker 16: a little bit of information making you think you really 343 00:18:14,040 --> 00:18:16,640 Speaker 16: know something very deeply, and I think that gets into 344 00:18:16,680 --> 00:18:17,440 Speaker 16: market prices. 345 00:18:17,640 --> 00:18:19,639 Speaker 17: I'll be careful to keep this a little rained in, 346 00:18:19,760 --> 00:18:20,960 Speaker 17: but on the meme stock. 347 00:18:20,800 --> 00:18:23,040 Speaker 15: Issue, I knew i'd get that started. 348 00:18:23,920 --> 00:18:26,919 Speaker 17: How much are the retail traders that are bidding up 349 00:18:27,000 --> 00:18:30,159 Speaker 17: prices of stocks like game stock, contributing to this idea 350 00:18:30,560 --> 00:18:31,960 Speaker 17: that markets are less efficient. 351 00:18:32,000 --> 00:18:37,160 Speaker 16: To you, I think they are very small part in dollars. 352 00:18:37,760 --> 00:18:40,480 Speaker 16: They maybe post their children in some sense for the 353 00:18:40,480 --> 00:18:45,880 Speaker 16: effect the whole idea that this disconnect in prices can 354 00:18:45,920 --> 00:18:48,320 Speaker 16: come in a world where we have all the information 355 00:18:48,400 --> 00:18:53,080 Speaker 16: at our fingertips. I think we're all raised at some 356 00:18:53,119 --> 00:18:55,600 Speaker 16: point we've all read about the quote wisdom of crowds. 357 00:18:55,640 --> 00:18:57,480 Speaker 16: The way you know, if you take a crowd that 358 00:18:57,560 --> 00:19:00,399 Speaker 16: on average people have fifty one percent information, but you 359 00:19:00,440 --> 00:19:04,000 Speaker 16: poll them. You hope many of us here are old 360 00:19:04,080 --> 00:19:07,320 Speaker 16: enough to remember Regis Philbin and you know who wants 361 00:19:07,320 --> 00:19:10,680 Speaker 16: to be a millionaire. The absolute best lifeline was always 362 00:19:10,680 --> 00:19:13,840 Speaker 16: pull the crowd right, because because if they asked the question, 363 00:19:13,960 --> 00:19:15,320 Speaker 16: you know, what does it say in the back of 364 00:19:15,320 --> 00:19:18,919 Speaker 16: a quarter, eighty five percent of the people don't know, 365 00:19:19,600 --> 00:19:22,080 Speaker 16: but they're evenly split, and the fifteen percent. 366 00:19:21,800 --> 00:19:23,000 Speaker 15: Of do not all go one way. 367 00:19:23,440 --> 00:19:27,119 Speaker 16: But there was always a little unspoken footnote to the 368 00:19:27,160 --> 00:19:30,360 Speaker 16: wisdom of crowds. To have a wise crowd, it's got 369 00:19:30,400 --> 00:19:33,879 Speaker 16: to be fairly independent. If everyone got to talk about 370 00:19:33,880 --> 00:19:35,919 Speaker 16: the quarter, not look at a quarter, that's cheating, but 371 00:19:35,960 --> 00:19:38,480 Speaker 16: talk about it. The people who are wrong convinced the 372 00:19:38,480 --> 00:19:42,640 Speaker 16: people who are right, and whatnot. A crowd where everyone 373 00:19:42,720 --> 00:19:45,919 Speaker 16: is coordinated and not independent has the risk of becoming 374 00:19:45,920 --> 00:19:46,800 Speaker 16: a dangerous mob. 375 00:19:47,600 --> 00:19:49,160 Speaker 15: And I don't know about you, guys, but. 376 00:19:49,160 --> 00:19:51,760 Speaker 16: I can't think of anything better at turning a wise, 377 00:19:51,800 --> 00:19:55,639 Speaker 16: independent crowd into a dangerous mob than the Internet and 378 00:19:55,680 --> 00:19:59,960 Speaker 16: social media. So I do think they're kind of the 379 00:20:00,080 --> 00:20:03,960 Speaker 16: poster child. I don't think economically they are they are that. 380 00:20:03,920 --> 00:20:05,080 Speaker 15: Important they you know. 381 00:20:05,600 --> 00:20:07,679 Speaker 16: I don't want to disparage either side of it, but 382 00:20:07,760 --> 00:20:10,879 Speaker 16: it's nine dollars in terms of you know, in video 383 00:20:11,080 --> 00:20:14,320 Speaker 16: laughs at that on a daily basis. The entire memestock 384 00:20:14,359 --> 00:20:16,840 Speaker 16: phenomenon is like a little part of the day of Nvidia. 385 00:20:18,080 --> 00:20:19,720 Speaker 16: But I think it is a poster child for the 386 00:20:19,720 --> 00:20:22,600 Speaker 16: concept I'm talking about. There are other candidates. People talk 387 00:20:22,640 --> 00:20:26,720 Speaker 16: about the role of passive. That's really complicated. I'm not 388 00:20:26,760 --> 00:20:29,120 Speaker 16: one who just looks at passive and goes that that's 389 00:20:29,119 --> 00:20:30,760 Speaker 16: causing all kinds of havoc. 390 00:20:31,040 --> 00:20:35,159 Speaker 15: What is causing? Okay, I'll disappoint you here, people. 391 00:20:36,119 --> 00:20:39,880 Speaker 16: I don't think we really quite know yet. First of all, 392 00:20:39,920 --> 00:20:42,679 Speaker 16: here are the things we know about passive. Not everyone 393 00:20:42,720 --> 00:20:47,040 Speaker 16: can be passive. The whole world breaks down. Even back 394 00:20:47,040 --> 00:20:49,639 Speaker 16: when I was a PhD student, So this is the 395 00:20:49,760 --> 00:20:53,320 Speaker 16: early nineties, a kind of stant This is what happens 396 00:20:53,320 --> 00:20:56,000 Speaker 16: when PhD students in finance get drunk late at night. 397 00:20:56,760 --> 00:21:00,000 Speaker 15: They sit around going, what if everybody tried to be passed? 398 00:21:01,000 --> 00:21:03,679 Speaker 16: And that's a black hole, that's a singularity in finance. 399 00:21:03,800 --> 00:21:07,840 Speaker 16: Nobody's looking at individual stocks, and that just can't work. 400 00:21:08,400 --> 00:21:10,840 Speaker 15: Passive as a free rider is a free rider. 401 00:21:10,640 --> 00:21:14,679 Speaker 16: On active managers making sure prices are somewhat reasonable. But 402 00:21:14,760 --> 00:21:17,919 Speaker 16: the question of how many people can be passive, nobody 403 00:21:17,960 --> 00:21:18,400 Speaker 16: really knows. 404 00:21:18,520 --> 00:21:22,119 Speaker 17: You think it's contributing to an efficiency, and is efficiency, 405 00:21:22,119 --> 00:21:24,719 Speaker 17: frankly another way of saying wild swings in markets. 406 00:21:25,280 --> 00:21:29,160 Speaker 16: I think I would guess yes, but I think it's 407 00:21:29,200 --> 00:21:32,919 Speaker 16: pretty small versus the social media, the illusion of control 408 00:21:32,960 --> 00:21:34,879 Speaker 16: of the data overload things I'm talking about. 409 00:21:35,960 --> 00:21:39,800 Speaker 15: It's not clear theoretically. If you imagine you had. 410 00:21:39,720 --> 00:21:41,639 Speaker 16: A world we had a certain amount of passive and active, 411 00:21:41,920 --> 00:21:43,960 Speaker 16: and suddenly a lot of active move to passive. 412 00:21:45,000 --> 00:21:48,960 Speaker 15: Whether active is now easier. 413 00:21:48,560 --> 00:21:52,000 Speaker 16: Or harder, whether it's more or less efficient, depends on 414 00:21:52,119 --> 00:21:55,639 Speaker 16: who moved. Let me be really obnoxious and go. There 415 00:21:55,640 --> 00:21:57,679 Speaker 16: were sharks and minnows. There were people who were good 416 00:21:57,720 --> 00:21:59,679 Speaker 16: at it and people who were bad. If all the 417 00:21:59,720 --> 00:22:04,800 Speaker 16: men move, markets get really efficient. Because sharks are trading 418 00:22:04,840 --> 00:22:07,119 Speaker 16: with sharks, they all are pretty good at valuing these things, 419 00:22:07,840 --> 00:22:08,800 Speaker 16: and the sharks don't. 420 00:22:08,600 --> 00:22:12,640 Speaker 15: Make a lot of money. We don't really know who moved. 421 00:22:13,240 --> 00:22:17,040 Speaker 16: I tend my reasoning here is really just correlation, not causation. 422 00:22:17,680 --> 00:22:22,840 Speaker 16: This has occurred at the same time that massive price disparities. 423 00:22:22,440 --> 00:22:24,479 Speaker 15: Have grown and lasted longer. 424 00:22:24,880 --> 00:22:26,960 Speaker 16: So as a pure guess, I would have to go, 425 00:22:27,040 --> 00:22:28,560 Speaker 16: it's probably contributed something. 426 00:22:29,280 --> 00:22:30,600 Speaker 15: It's very hard to assign. 427 00:22:30,960 --> 00:22:34,680 Speaker 16: Another one is you know, I'm probably the billions person 428 00:22:34,720 --> 00:22:37,680 Speaker 16: to mention this, but over the same period, we've had 429 00:22:37,720 --> 00:22:40,200 Speaker 16: ten years prior to a couple of years ago of 430 00:22:40,880 --> 00:22:44,960 Speaker 16: ultra low nominal and real interest rates. I am not 431 00:22:45,000 --> 00:22:47,199 Speaker 16: a person who thinks that means growth stocks should go 432 00:22:47,200 --> 00:22:49,680 Speaker 16: to the moon. I've written papers on the math of 433 00:22:49,760 --> 00:22:52,399 Speaker 16: that's kind of wrong. They're not actually that much longer duration. 434 00:22:53,040 --> 00:22:55,320 Speaker 16: But the market disagrees with me. The market things with 435 00:22:55,480 --> 00:22:58,040 Speaker 16: interest rates fall, growth stocks should go to the moon, 436 00:22:59,240 --> 00:23:02,600 Speaker 16: and so ultra low interest rates have probably contributed to 437 00:23:02,600 --> 00:23:05,239 Speaker 16: a fair amount of that also, so I think it's 438 00:23:05,280 --> 00:23:07,200 Speaker 16: a witch's brew. But if I had to put the three, 439 00:23:07,640 --> 00:23:12,760 Speaker 16: I think maybe I'm just an old man ranting at TikTok. 440 00:23:14,119 --> 00:23:17,159 Speaker 16: But I think the feeling that you own all the 441 00:23:17,200 --> 00:23:20,280 Speaker 16: information and are on a level playing field, and therefore 442 00:23:20,320 --> 00:23:22,960 Speaker 16: you can own two stocks and be very confident about 443 00:23:22,960 --> 00:23:24,880 Speaker 16: it is probably. 444 00:23:24,520 --> 00:23:26,400 Speaker 15: My number one thing to point at. 445 00:23:26,720 --> 00:23:30,160 Speaker 17: So let's step back for a minute. Because you were 446 00:23:30,280 --> 00:23:34,520 Speaker 17: concerned about the efficiency of markets here and reasked, has 447 00:23:34,560 --> 00:23:38,240 Speaker 17: the market gone awry? Has something about the market broken? 448 00:23:38,440 --> 00:23:38,679 Speaker 15: To you? 449 00:23:39,640 --> 00:23:43,840 Speaker 16: Broken such an ugly word. These are points on a spectrum. 450 00:23:44,520 --> 00:23:47,560 Speaker 16: For me, broken is very I'm going to define that 451 00:23:47,640 --> 00:23:50,720 Speaker 16: as are we in a bubble or the opposite of 452 00:23:50,760 --> 00:23:55,840 Speaker 16: a bubble and irrational depression where people won't pay any 453 00:23:55,880 --> 00:23:59,600 Speaker 16: fair amount for stronger companies or whatnot. A bubble is 454 00:23:59,600 --> 00:24:01,800 Speaker 16: when wet the companies people like and they're willing to 455 00:24:01,840 --> 00:24:06,639 Speaker 16: pay giantly excessive amounts. So let's say bubble and broken 456 00:24:06,720 --> 00:24:10,639 Speaker 16: are equivalent. I use the word bubble. 457 00:24:11,000 --> 00:24:13,359 Speaker 15: I think less than a lot in the industry. 458 00:24:13,800 --> 00:24:17,080 Speaker 16: I once wrote a sarcastic piece really doesn't narrow it 459 00:24:17,119 --> 00:24:22,000 Speaker 16: down amongst the pieces I've written but making fun of 460 00:24:22,000 --> 00:24:25,520 Speaker 16: the term bubble that on the extended use of the 461 00:24:25,560 --> 00:24:29,080 Speaker 16: word Wall Street people who a lot of people will 462 00:24:29,080 --> 00:24:32,400 Speaker 16: see bubbles everywhere, and they translated a little too weakly 463 00:24:32,840 --> 00:24:36,600 Speaker 16: as a bubble means a stock. I kind of don't like. No, 464 00:24:36,760 --> 00:24:41,159 Speaker 16: that's not a bubble. A bubble, to me is a 465 00:24:41,400 --> 00:24:46,520 Speaker 16: vastly diversified set of things that I cannot come up 466 00:24:46,520 --> 00:24:51,640 Speaker 16: with any reasonable assumptions that could possibly make these valuations work. 467 00:24:52,560 --> 00:24:56,000 Speaker 16: I have seen two in my career that I think 468 00:24:56,119 --> 00:24:59,240 Speaker 16: we identified before the fact, and one I was a 469 00:24:59,320 --> 00:25:04,159 Speaker 16: passive watcher of the dot com bubble, which again the 470 00:25:04,200 --> 00:25:06,600 Speaker 16: PTSD from the earlier presentation. 471 00:25:06,600 --> 00:25:11,080 Speaker 15: And then really nineteen and twenty when stocks surpassed, I 472 00:25:11,119 --> 00:25:12,720 Speaker 15: would use the word bubble for that. 473 00:25:12,840 --> 00:25:13,040 Speaker 2: Man. 474 00:25:13,720 --> 00:25:16,639 Speaker 3: This is Bloomberg day Break Today, your morning brief on 475 00:25:16,720 --> 00:25:20,240 Speaker 3: the stories making news from Wall Street to Washington and beyond. 476 00:25:20,520 --> 00:25:23,280 Speaker 2: Look for us on your podcast feed at six am 477 00:25:23,359 --> 00:25:27,040 Speaker 2: Eastern each morning, on Apple, Spotify, and anywhere else you 478 00:25:27,080 --> 00:25:28,240 Speaker 2: get your podcasts. 479 00:25:28,359 --> 00:25:31,080 Speaker 3: You can also listen live each morning starting at five 480 00:25:31,119 --> 00:25:33,720 Speaker 3: am Wall Street time on Bloomberg eleven three to zero 481 00:25:33,760 --> 00:25:37,240 Speaker 3: in New York, Bloomberg ninety nine one in Washington. Bloomberg 482 00:25:37,240 --> 00:25:40,280 Speaker 3: one oh six' one in Boston and Bloomberg ninety sixty 483 00:25:40,400 --> 00:25:41,359 Speaker 3: in San Francisco. 484 00:25:41,720 --> 00:25:44,880 Speaker 2: Our flagship New York station is also available on your 485 00:25:44,920 --> 00:25:50,359 Speaker 2: Amazon Alexa devices. Just say Alexa Play Bloomberg eleven thirty plus. 486 00:25:50,400 --> 00:25:53,840 Speaker 3: Listen coast to coast on the Bloomberg Business app, SERIUSXM, 487 00:25:53,920 --> 00:25:58,200 Speaker 3: the iHeartRadio app, and on Bloomberg dot Com. I'm Nathan Hager. 488 00:25:57,960 --> 00:25:59,120 Speaker 1: And I'm Karen Moscow. 489 00:25:59,320 --> 00:26:02,119 Speaker 2: Join us again tomorrow morning for all the news you 490 00:26:02,240 --> 00:26:02,800 Speaker 2: need to start 491 00:26:02,840 --> 00:26:05,440 Speaker 1: Your day right here on Bloomberg Daybreak