My blog provides valuable insights into Nobel Prize-winning financial strategies for investors. By utilizing decades of worldwide peer-reviewed capital markets research and analysis, I demonstrate how to build better investment portfolios with lower risks. I also examine common financial media misinformation and how investors can make better financial decisions.
Retirement can spark both stress and disagreement in an otherwise contented marriage. After years of happy, healthy wedded bliss, sometimes one or both spouses are surprised to find themselves unhappy once retirement comes.
Negotiation and compromise are key elements in a successful marriage—long-time spouses already know this and practice both well. Entering retirement doesn’t change this. It’s hard for two spouses to enjoy their later years if each wants to sail in their own direction.
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.”
If we look at society and societal norms, a lot of weight is given to success when it comes to defining happiness. If we see a person who is successful, it is often assumed that they are happy. On an existential level we should consider what it all means. In reality, we actually have no idea whether or not that person is either happy or successful; for a couple of reasons: First of all, we can only measure someone else’s success or happiness by what we know about them. Secondly, and more importantly, we can only measure someone else’s success or happiness by how we define success and happiness. There is really no way of knowing whether their measures are even similar to our own.
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.
For many, medical expenses can be an ongoing burden and hinder us from making other purchases, saving for retirement and improving our quality of life. In order to prevent these consequences it is important to have a solid understanding of what our medical coverage does and does not cover and to take steps to prepare for the unexpected. The following recommendations can help avoid and prevent paying more than you should for medical care.
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:
So you've crafted a plan for how you want your wealth, possessions and other assets to be distributed after you die. But what happens to your digital assets—online bank and investment accounts, social media profiles like Facebook and LinkedIn, and access to shopping sites like Amazon and Ebay?
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.
