Robo-advisors help investors deal with the complexity of the stock market. However, users of these new decision support systems are not immune to decision inertia – repeating supoptimal investment strategies regardless their negative financial consequences. I investigate two possible nudges to help user overcome decision inertia in robo-advisory environments.
New research shows how our motivational need for an emotionally rewarding ending affects decision-making.
New research shows that being similar to a previous winner can have radically different effects on people’s participation likelihood in sweepstakes – it all depends on the attributions people make for the winning outcome.
People's failure to act is an important problem discussed in behavioral economics and finance. But inappropriate action can also be detrimental. Find out more about the action bias in this post.
What goes through your head when choosing between different payment options?
Every year, millions of people invest money in projects they may not fully understand and, by choosing to do so, they reveal one of the most important values that holds our society and our economy together: trust. What do we know about trust? Read this post to find out.
Stocks yield much higher returns than bonds and other riskless securities. In fact, in the last 100 years US equities have seen an 8% average annual real return, compared to only a 1% return for more riskless securities. This gap is called the equity premium puzzle – why are equities valued so much higher than securities? One behavioral theory attributes the equity premium puzzle to what’s known as myopic loss aversion (MLA) – the idea that loss-averse investors (as all investors are) take too short-term a view of their investments, leading them to react overly negatively to short-term losses. We designed the first natural field experimental evidence to show that MLA exists for professional traders.
Ignorance is bliss: How much would you pay to avoid threatening information?
The interconnection of devices within the “Internet of Things” (IoT) creates new data sources. Companies can now better observe people’s choices and test the effectiveness of different mechanisms to activate and retain more customers. It may also help policymakers overcome one of the most frequent problems of policy design: the lack of personalized content. We argue that the IoT not only disrupts the way we track our actions and monitor our goals, but also allows the identification of effective methods to alter our behavior. This is optimized by the combination of IoT, data analytics and behavioral science.
Planning our retirement is an endeavour we need to undertake sooner or later. A well thought-out pension plan must be able to ensure our well-being during a long period of professional inactivity. However, a striking finding is that people do not save enough for their retirement. They have difficulties to design a retirement plan tailored to their needs and end up with an insufficient pension income and an impoverished lifestyle. Behavioural economics has pointed out some of the problems that affect retirement planning.
