In the runup to the Brexit vote polls were mixed. Some showed remain winning. Others showed leave winning. Nonetheless, markets, pundits, and bookmakers always seemed to be pretty sure that remain was going to win. Whoops! In this episode of Odd Lots, we speak to Mike Smithson, an expert on political betting in the UK. He explains how the markets got it so wrong and how, on the actual night of the vote, there were some huge opportunities for gamblers willing to take the right risks.

In the runup to the Brexit vote polls were mixed. Some showed remain winning. Others showed leave winning. Nonetheless, markets, pundits, and bookmakers always seemed to be pretty sure that remain was going to win. Whoops! In this episode of Odd Lots, we speak to Mike Smithson, an expert on political betting in the UK. He explains how the markets got it so wrong and how, on the actual night of the vote, there were some huge opportunities for gamblers willing to take the right risks.

Bloomberg's Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets and economics. Join the conversation every Monday and Thursday.

Bloomberg's Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets and economics. Join the conversation every Monday and Thursday.

Bloomberg's Joe Weisenthal and Tracy Alloway analyze the weird patterns, the complex issues and the newest market crazes. Join the conversation every Tuesday and Thursday for interviews with the most interesting minds in finance, economics and markets.

Odd Lots

On Bloomberg’s Odd Lots podcast Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets, and economics. Join the conversation every Monday and Thursday. 

On Bloomberg’s Odd Lots podcast Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets, and economics. Join the conversation every Monday and Thursday.

35: There Was a Huge Opportunity The Night of the Brexit Vote

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/a3e8f8d8-62ba-4c3c-924b-ae27005fdc77/transcript

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