Does academic research destroy stock return predictability?– David McLean

Visiting Asst. Prof. David McLean

The first published paper that I know of to document that returns are predictable across stocks was published in 1972. In that paper, the authors showed that price level predicts returns in that low priced stocks tend to have higher returns than high priced stocks. Since then, this has been an active research area with numerous academic papers showing that various strategies based on observable firm traits (e.g., size, past performance) can predict returns across stocks. Read More »

“Dark Pools” can improve price discovery in open exchanges — Haoxiang Zhu

MIT Sloan Asst. Prof. Haoxiang Zhu

When big investors want to execute trades but fear the size of the transaction could move the market, they often go to dark pools—alternative trading systems where orders are not publicly displayed. These opaque trading venues, now accounting for about 12 percent of equity trading volume in the United States, have sparked concern among regulators and in the financial press. With so many transactions occurring out of public view, critics warn that price discovery, the accurate determination of asset prices, will become more difficult. Read More »

Jose-Maria Fernandez: Financial engineering for good: A New Approach to Funding Large-Scale Biomedical Innovation

MIT Sloan Researcher Jose-Maria Fernandez

There is a growing consensus that the “bench-to-bedside” process of translating biomedical research into effective therapeutics is broken. A confluence of factors explains such pessimism but among the most widespread is the sense that the current the drug development business model is flawed. The development of new therapeutics is an expensive, lengthy, and risky process that challenges traditional funding vehicles, which are limited in size, Read More »