Income, Worry, & One More Question

“Not having enough money for retirement” was the most common financial concern for Americans according to a report from Gallup. Approximately 60% of Americans were very/moderately worried about money for retirement, followed by “not being able to pay for medical costs of a serious illness/accident” (55% very/moderately worried), and then by “not being able to maintain the standard of living you enjoy” (46% very/moderately worried). Approximately 50% of Americans are “very” or “moderately” worried about three or[…]

All The Advantages, But Where Is The Income?

Take two children from seemingly similar advantaged, affluent backgrounds – perhaps parents with similarly prestigious jobs, the same type of family structure, high SAT scores, same GPAs, even the same interests and career plans. Why, in the future, would one end up with a significantly higher income than the other? It may be self-concept, or more specifically, core self-evaluations (CSEs): a set of psychological characteristics that include a belief in one’s worth and one’s overall[…]

Think Like Wall Street: Focus on Top-Line and Bottom-Line Growth

The focus of Data Points’ research is typically on how one’s behaviors and experiences lead to wealth building potential. Effective wealth accumulators exhibit high levels of competencies shown to predict net worth, including the competency of frugality. Less money spent equals more money saved—thus a greater “profit” or “bottom-line” result at the end of each month, year, etc. But our research supports the conclusion that high-wealth-potential individuals also focus intently on investing the money that they[…]

The Potential for Building Wealth

A data point is a measurement or set of measurements of a single member of a particular population. For the financial services industry, client data typically include age, income, net worth, investable assets, risk tolerance, attitudes, and perhaps big data (with or without theory). This information is traditionally used to describe wealth groups (e.g., mass affluent, ultra high net worth) and determine relevant products and services. What’s missing? The scientific measurement of relevant wealth-building behaviors and life experiences that[…]