Life Lessons from Movies

Mind Over Money: Nova

In Documentary, Movies on January 14, 2013 at 9:07 PM

Mind Over Money: Nova (2010) is a documentary by director/producer Malcolm Clark about the latest research studies on behavioral economics. Scholars discuss their findings, which are often at odds with established economic models, and a number of experts are interviewed. It features Leo Melamed from the Chicago Mercantile Exchange, Richard Rosenblatt from the New York Stock Exchange, Joe Mazzella from Knight Capital Group, Dan Mathisson from Credit Suisse and Jeremy Grantham from Grantham Mayo Van Otterloo.

Life Lesson:

Emotion may lead you to make bad financial decisions. For example, people who feel sad will pay more, sometimes four times more, for a consumer product than those who do not feel sad.

Movie Scene:

Dan Mathisson (Credit Suisse): “The market is an aggregation of what thousands of people think the future is going to be like. And if these people are optimistic about the future, the market goes up, and if people are pessimistic about the future, the market goes down. But at the end of the day, the question the market answers is, ‘Are people optimistic or are they pessimistic?’ And that’s a psychological question. Emotion still drives the markets.”

Narrator: “Grantham believes [economic] bubbles are inevitable and have a predictable rhythm.”

Jeremy  Grantham (GMO): “It’s euphoria causing the price to go up and realism causing it to fall back, and then, eventually, unrealistic panic, as it begins to feed on itself, and the lemmings head in the opposite direction.”

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: