Andrew Lo, an economist and finance professor at the Massachusetts Institute of Technology's Sloan School of Management, discusses how behavioral issues can influence investors. Lo talks with Bloomberg's Pimm Fox and Vonnie Quinn on Bloomberg Radio's "Taking Stock."

In a question and answer with Business Insider's Rob Wile, Professor Lo speaks about the state of the markets, why investing must now be treated like exercise, and what we can expect from his latest work.

After a global economic slump caused by seemingly reckless financial market activity, a period of calm might appear welcome. But moribund markets spell bad news for bank employees, and schadenfreude by others would be misplaced if they were being lulled into a false sense of security.

A professor of finance at MIT, Andrew W. Lo is an editor of the RSF volume Rethinking the Financial Crisis. The volume addresses important questions about the complex workings of American finance and shows how the study of economics needs to change to deepen our understanding of the financial sector.

MIT's Andrew Lo argues evolutionary biology may be the key to understanding how humans react to financial choices, and how they may behave in the future. He joined Kara Miller to talk about his research.

Andrew Lo, director of the MIT Laboratory for Financial Engineering, says that there have been three "seismic shifts" in the markets over the past few years that investors must navigate.

MIT Sloan professor Andrew Lo and Vinny Catalano, president of Blue Marble Research are interviewed on Bloomberg Radio about how to put behavioral economics to work to make more money.

Andrew Lo, a professor at MIT Sloan School of Management and investigator at MIT’s Computer Science and Artificial Intelligence Lab, has been seeking to find out why so many bad decisions were made on Wall Street leading up to the financial crisis. Lo, along with Thomas J. Brennan, a law professor at Northwestern, says the evolution of the human mind may explain a blind faith that housing values will rise and that mortgage securities and stocks would not fall in value as well as the opposite view.

Andrew Lo, the Charles E. and Susan T. Harris Professor of Finance at the MIT Sloan School of Management, who has been on the MIT faculty since 1988, last year accepted a secondary appointment in EECS and became a primary investigator in CSAIL. Recently, Lo has used techniques borrowed from computer science to mine credit-bureau data and data about the transactions conducted by customers of financial institutions to more accurately predict the risk of default or delinquency. Lo is one of the researchers at bigdata@CSAIL, a new initiative led by professor of computer science and engineering Sam Madden.

Professor Andrew Lo and MIT colleagues, Jose-Maria Fernandez and Roger Stein, have proposed the creation of a $30bn “megafund” that would invest in early-stage biomedical research and drug development. Investing in as many as 150 experimental compounds at one time increases the chances that a few of the ventures will succeed, and generate enough profit to make up for those that fail. Prof Lo recently talked to the FT about his idea.

A proposed megafund would combine debt securities with equity investments to help pay for high-risk biomedical research.

Andrew Lo, professor, hedge fund manager, and director of the financial engineering lab at MIT’s Sloane School of Management discusses how the financial markets can play a key role in solving the greatest global challenges. Including finding a cure for cancer.

MIT finance professor and hedge fund manager Andrew W. Lo has another idea about how to further the cause — by harnessing the power of financial wizardry. Lo wants to create a “megafund” that would raise billions of dollars for early-stage research in cancer drugs.

MIT finance researchers say a diversified ‘megafund’ of securities could help the industry deliver new products to consumers.

Economist and finance professor at M.I.T.'s Sloan School of Management, challenges a core idea of financial theory: that markets are "efficient," meaning there's no point in trying to time your moves in and out of stocks, since everything you could know about them is already baked into the price.