Track your comments!
[x]


When you register, comments on your articles and replies to your comments appear here. Register Now!

Sign in to your account
[x]

Not a Scientific Blogging member yet?

Register Now for a Free Scientificblogging.com Account

  • Customize your profile with pictures, banner, a blogroll and more.
  • Leave comments on articles, add other members to your friend lists, chat with people on the site.
  • Write blog posts that can be seen by hundreds of thousands of readers.

It's free and it only takes a minute!

Already a Scientific Blogging member?

Sign In Now

Banner
By News Staff | February 26th 2009 12:00 AM | 2 comments | Print | E-mail | Track Comments
You may know of people who ridicule lottery players because the odds are so great and, it would seem, they can't do simple math.    But most people don't ridicule stock market investors even though the same circumstances - a lack of real knowledge and a field of competitors doing the same thing - make it less likely they will be successful unless fortune makes their decisions align with people who know what they are doing.

The riskier investors tend to act, the more socioeconomic characteristics they share with people who play state lotteries and,  just like the lottery, returns on average are lower for those who invest this way in the stock market, research from The University of Texas at Austin shows.
 
In the paper, "Who Gambles in the Stock Market?" Alok Kumar, assistant professor of finance at the McCombs School of Business at The University of Texas at Austin, presents evidence of this counter-productive stock-market behavior after studying the demographics and financial transactions of 70,000 anonymous investors. The research will be published in a forthcoming issue of the Journal of Finance.

"We found that people who took risks with lottery-type stock typically earned 2 to 3 percent less than other investors," Kumar said. 

Kumar defines lottery-type stocks as those with a share price under $5 and a history of high volatility and extreme positive returns. These stocks are inexpensive and come with a high chance of losing, but they also offer the small potential for a big payoff. 

Kumar's research found that people with household income below average for their area are more likely to buy lottery-type stocks, and that they are purchased in areas with high unemployment and during economic downturns. In addition, regions with higher concentrations of Catholics such as in Massachusetts and Rhode Island have a stronger preference for lottery-type stocks, while those in Protestant regions like areas in the South are less drawn to them—a pattern that also mirrors ticket-purchasing trends in state lotteries by the two groups.

"It is particularly important to be aware of our gambling tendencies now because the urge to gamble is greater during difficult economic times," Kumar said. "Stock market 'gambles' are unlikely to pay off, and those who are close to retirement are likely more vulnerable to this urge because they might feel they only have a short time period to recoup their losses. Unfortunately, this behavior can further worsen their situation and delay recovery."

Comments

None of this is new work, nor surprising. It would be entertaining if he named it "Lorenz & Kumar Go To Wall Street."

This is a very intersting articale to me. I need to know more about this researh please contact us..

Sooriya

Add a comment

The content of this field is kept private and will not be shown publicly.
  • Allowed HTML tags: <sup> <sub> <a> <em> <strong> <center> <cite> <code> <TH><ul> <ol> <li> <dl> <dt> <dd> <img> <br> <p> <blockquote> <strike> <object> <param> <embed> <del> <pre> <b> <i> <table> <tbody> <div> <tr> <td> <h1> <h2> <h3> <h4> <h5> <h6> <hr> <iframe>
  • Lines and paragraphs break automatically.
  • Web page addresses and e-mail addresses turn into links automatically.
CAPTCHA
If you register, you will never be bothered to prove you are human again. And you get a real editor toolbar to use instead of this HTML thing that wards off spam bots.