Money Anxiety Index Down to Pre-recession Level of 62.5
It took 8 years for the Money Anxiety Index to complete a full cycle from recession to recovery. Consumers are ready to spend more this holiday season than in any time during the past 8 years.
What is the Money Anxiety Index?
The Money Anxiety Index measures various economic indicators and factors associated with consumers’ level of financial worry and stress. The Money Anxiety Index functions as an early-warning system to shifts in the economy, allowing financial advisors to react in time to changes in the economic cycle.
The Money Anxiety Index Is highly predictive. It predicted the arrival of the Great Recession over a year prior to the official declaration of the recession in December of 2007. In the graph below, you can see how consumers’ money anxiety is trending upwards starting in October of 2006.
New thinking about money, finance and the economy
Money anxiety drives our financial decisions. The book Money Anxiety presents new research showing how consumers alternate between instinctive and analytical financial decisions based on their level of money anxiety.
Money Anxiety is an insightful behavioral finance book that will help you uncover the mystery of the financial mind. The book explains why we hate to lose more than we love to win and why we spend when safe and save when scared.
Explore Behavioralogy – a matrix of predictable consumer financial behavior, which categorizes consumer financial behavior in six distinct behavioral patterns. Each behavioral pattern defines how consumers behave during high, normal and low levels of money anxiety.
Money Anxiety Index – historical perspective
The Money Anxiety Index consists of monthly measurement of the level of consumers’ financial anxiety for over 50 years. It spans from January 1959 to date. Historically, the Money Anxiety Index fluctuated from a high of 135.3 during the recession of the early 1980s, to a low of 38.7 in the mid 1960s. The 50-year average is 70.7 (July 1980 = 100).
The Money Anxiety Index was developed using Structural Equation Modeling (SEM) with a large sample size of monthly economic indicators meeting, the required measures of fit.