1 00:00:02,880 --> 00:00:08,200 Speaker 1: Mike, sometimes financial markets can get confusing. Tell me about it, Sarah, Equity, 2 00:00:08,200 --> 00:00:13,200 Speaker 1: longshore performance, over the counter, derivative products, and that's why. 3 00:00:13,320 --> 00:00:16,639 Speaker 1: On What Goes Up, a new podcast from Bloomberg will 4 00:00:16,680 --> 00:00:18,959 Speaker 1: help you break down the ins and outs of the 5 00:00:19,040 --> 00:00:23,320 Speaker 1: forces driving global markets. I'm Sarah Pontza, a reporter on 6 00:00:23,400 --> 00:00:26,240 Speaker 1: the Cross Asset Team, and I'm Mike Reagan, a senior 7 00:00:26,360 --> 00:00:29,160 Speaker 1: editor and writer for the Market Team. Each week, we'll 8 00:00:29,160 --> 00:00:33,200 Speaker 1: talk to some of Bloomberg's smartest writers, editors, and strategists, 9 00:00:33,360 --> 00:00:35,839 Speaker 1: and we'll bring in some of the biggest names on 10 00:00:35,880 --> 00:00:38,839 Speaker 1: Wall Street. We'll explore what's moving not just stocks, but 11 00:00:38,920 --> 00:00:43,040 Speaker 1: also bonds, currencies, and commodities. And there may be the 12 00:00:43,080 --> 00:00:47,879 Speaker 1: occasional dad jokes. Occasional possibly frequent dad jokes. Do you 13 00:00:47,920 --> 00:00:50,360 Speaker 1: even care about Brexit? I mean, should US investors be 14 00:00:50,440 --> 00:00:53,440 Speaker 1: followness or is it like is it like premier soccer? 15 00:00:53,520 --> 00:00:58,720 Speaker 1: You know, and it's less So yeah, I just can't 16 00:00:58,720 --> 00:01:01,080 Speaker 1: believe that people trade these, you know, and it's all computers. Now, 17 00:01:01,080 --> 00:01:03,520 Speaker 1: I think your computers are going to become human because 18 00:01:03,520 --> 00:01:06,360 Speaker 1: they will develop the emotion of shame from trading US 19 00:01:06,440 --> 00:01:08,720 Speaker 1: China trade headlines. They have a ton of analogies for this, 20 00:01:08,760 --> 00:01:10,200 Speaker 1: and I think the cleanest dirty show is the one 21 00:01:10,200 --> 00:01:11,840 Speaker 1: that I would like to pull time on because it's 22 00:01:11,840 --> 00:01:17,520 Speaker 1: really a horrible one. That's how they refer to me downstairs, 23 00:01:18,400 --> 00:01:22,640 Speaker 1: from central banks to economic data, to earnings, trade, and 24 00:01:22,840 --> 00:01:26,400 Speaker 1: whatever else may come. If it moves markets, what goes 25 00:01:26,440 --> 00:01:29,520 Speaker 1: out will be on it. What goes up debuts on 26 00:01:29,640 --> 00:01:34,800 Speaker 1: April on Apple Podcasts, Spotify, or wherever you get your podcasts.