Odd Lots

For centuries, markets were highly-personalized things, often controlled by select groups of people who traded based on long-established and closely-knit relationships. Closed networks -- such as merchant guilds in 16th century Europe -- could ensure trust between buyers and sellers by pushing out bad actors. But then, something happened that would eventually become the foundation of all modern markets. In the 1500s, new trade routes and the arrival of the printing press helped erode the power of merchant guilds and give way to a much more open system of trading where strangers could interact with each other.  On this edition of the Odd Lots podcast, Prateek Raj gives his theory about why modern markets first took hold in Northern Europe, and what this 500-year-old period of disruption can tell us about the world today.  See omnystudio.com/listener for privacy information.

We talk a lot about bubbles on this podcast. Often we talk about them from the perspective of a trader or speculator. But what about the people whose lives get caught up directly in the craziness? On this week's episode of the Odd Lots podcast, we speak to Bloomberg's own Dash Bennett, who worked for an internet company right during the peak of the mania in early 2000. Dash describes the incredible signs of excesses that he saw at the beginning and the bleak way it all ended when everyone lost their jobs and had all their perks taken away.See omnystudio.com/listener for privacy information.

On last week's episode of Odd Lots, Bloomberg's Chris Nagi and Matt Boesler gave us their takes for the biggest stories of the past year. So naturally, for this week's episode, we look ahead. Chris and Matt are back in the studio to give us their predictions for what we'll be talking about in 2018. See omnystudio.com/listener for privacy information.

The year is over, and now's the time to look back at the big stories of the past year. On this week's episode, we're joined by Chris Nagi and Matt Boesler of Bloomberg News to discuss what they saw as the dominant themes of 2017. For Nagi, it was the relentless decline in market volatility (despite a year of remarkable headlines) and for Boesler it was the persistent shortfall in inflation, and the challenge that that's posing to traditional economic models.See omnystudio.com/listener for privacy information.

Frank Pasquale, a law professor at the University of Maryland and author focused on algorithms' societal impact, dives into how algorithms shape our daily lives. He discusses their pivotal role in decision-making, from news consumption to financial transactions, and raises concerns about biases and transparency. The conversation explores the manipulation of credit scores and the need for regulatory oversight in finance. Pasquale emphasizes the intertwining of algorithms with societal issues, highlighting the critical role of human oversight.

When we think of computer-driven or "quant" investing, we often think fast moves, algorithms making buy and sell orders at incredibly short timeframes. So in theory, the likes of great long-term investors, like Warren Buffett, should be safe from the robot revolution. But maybe not so fast! On this week's Odd Lots podcast, we speak to John Alberg of Euclidean Technologies and Zachary Lipton of Carnegie Mellon, about their new research on the next generation of quant investing. Alberg and Lipton explain a recent paper in which they used machine learning to forecast the future fundamentals of companies, and the opportunity that offers in terms of beating the market over the long term.See omnystudio.com/listener for privacy information.

There are two popular schools of thought with regards to how markets work. There's the efficient markets hypothesis (EMH) which says that it's basically impossible to beat the market, because all information is completely priced in at all times (more or less). On the other side is an increasingly popular behavioral view which argues that various human emotions and biases are always creating situations that aren't justified by the data. On this week's episode of the Odd Lots podcast, we speak to Andrew Lo, a professor of finance at the MIT Sloan School of Management about his own theory, which he calls Adaptive Markets. The theory attempts to bridge the behavioral approach with the efficient markets view. He argues that the proper way to view the market is through an ecological lens, examining the players as flora and fauna of a complicated system, to help determine who's thriving, who's dying, and where asset prices will go.See omnystudio.com/listener for privacy information.

Money goes where it's treated best. That simple truth is a big reason why more and more money—trillions, in fact—flows into a powerful, low-cost tool that's quietly transformed investing in recent years. Exchange-traded funds, or ETFs, let you invest in everything from the stock market to gold like never before. This podcast will demystify them—and delight you in the process.See omnystudio.com/listener for privacy information.

This month we saw a small sell-off in markets that got big attention. How did we get to the point where a 1 percent fall in the S&P 500 over the course of a week is huge news? And are we about to enter a time when it becomes much more normal to see markets fall? Matt King, global head of credit strategy at Citigroup Inc., has never shied away from the big picture questions. In this episode of the Odd Lots podcast, he predicts we'll see more wobbles in the future, and walks us through some of the biggest and most fundamental changes that have taken place in markets over the past few years.See omnystudio.com/listener for privacy information.

In this age of algorithms and quants, you hear less and less about good old stock picking. You know, like the style of investing associated with Warren Buffet or Benjamin Graham. But that doesn't mean you can't still dive into a balance sheet or cash flow statement in order to divine a stock's true worth. On this week's Odd Lots we speak to Aswath Damodaran, a professor at NYU's Stern School of Business, and the foremost expert on stock valuation. He explains his general approach to valuing stocks, and how he might use that framework on companies like GE, Tesla, and Uber.See omnystudio.com/listener for privacy information.