For most people, they are asked this question and say “No. I am pretty logical when it comes to money and investments.” However, if you really think about your money decisions on a day-today basis, are they truly logic based and unaffected by emotions? Likely not.

The study of Behavioral Finance emerged in 2002 with research done by Nobel Prize winning psychology professor, Daniel Kahneman. His investigation revealed “repeated patterns of irrationality, inconsistency, and incompetence in the ways human beings arrive at decisions and choices when faced with uncertainty.”

Running out of money is the top retirement fear of working Americans, according to 2015 research by the Transamerica Center for Retirement Studies. That should come as no surprise, given American’s low level of retirement savings and the fact that many of us are living long lives once we reach 65.

One of our responsibilities as an investment advisor is to help you put market news in its proper perspective, especially when the media is reporting global market corrections in the wake of political events.

If you're reading the popular press, you're seeing a lot of storm and fury having to do with the election, post-Brexit curiosity and the possibility that the Fed may raise interest rates. As the popular media scrambles to explain the unexplainable – what is going on in the markets at the moment and how long it's going to last – we thought we'd share a headline of our own:

An article that was recently published in the Wall Street Journal exposes a very unique technology tool that hedge funds use to determine future prices. A company called Planet Labs, Inc. has launched tiny, shoe-box sized satellites into orbit around earth with the mission of gathering data on “economically sensitive” spots like retailers’ parking lots, oil storage tanks and farmland. By analyzing the images they get back from these pint sized space machines data hungry hedge funds can offer clients “signals”—predictions on how prices will move for certain stocks. This analysis includes revenue predictions for big box stores based on changes in the number of cars in their lots and forecasts for oil inventories based on the height of floating lids in oil tanks.