insight
Evidence type: Insight i
Qualitative research is more exploratory, and uses a range of methods like interviews, focus groups and observation to gain a deeper understanding about specific issues - such as people’s experiences, behaviours and attitudes.
Quantitative research uses statistical or numerical analysis of survey data to answer questions about how much, how many, how often or to what extent particular characteristics are seen in a population. It is often used to look at changes over time and can identify relationships between characteristics like people’s attitudes and behaviours.
Consumers can save in several different ways, for example putting money in a bank account, investing in the stock market and buying property. It seems reasonable to assume that most people want their savings to grow as fast as possible, without suffering big swings in value. The problem is that no one knows for certain what will happen to interest rates, stock markets or house prices in the future, which makes saving decisions hard. It also means that what people think will happen – their subjective expectations – will be a key driver of saving decisions. For instance, several studies show that having higher stock market return expectations is associated with higher stock ownership. And whether such subjective (and not necessarily well-informed) expectations are reasonable may be an important decisive factor in whether consumers save in ways that are best for them and meet their saving goals.
This research paper explores whether consumers are able to assess uncertainty about future returns (based upon the assumption that people who are, are more likely to make good savings decisions).
This study used results from the FCA’s 2021 Financial Lives survey (with analysis by Royal Holloway, LMU Munich and ifo Institute), as well as Financial Lives 2020 survey data. The latter included a set of questions based around interest rates on savings accounts, and about housing and stock market returns. The results were weighted to be representative of all UK adults.
The research questions explored were:
Respondents were asked to assign probabilities to a range of possible future outcomes. For example, the percent chance that a stock market investment will have gone down by 10% a year from now. The ability of respondents to respond, and their demographics, are reported. The authors also consider the potential link between financial vulnerability and the ability to answer probabilistic return questions.
Ability to make probabilistic assessments
Overall, the researchers found that 73% of the UK adult population could make probabilistic assessments.
Characteristics and demographic differences
Financial sophistication model
Among the subgroup of consumers who can assign probabilities to future returns, the research investigates how knowledgeable they are about past financial developments, and how reasonable their beliefs about future asset returns are – given what is known about how different financial markets work. The researchers assert that people who can conceptualise the uncertainty of future returns in a financially sophisticated manner will be better equipped to make sound financial decisions. This financial sophistication modelling shows:
Do consumers understand the risks associated with different ways of saving?
Melanie Lührmann ([email protected]), Royal Holloway, University of London Sarah Reiter ([email protected]), ifo Institute, Munich Jonathan Shaw ([email protected]), Financial Conduct Authority Joachim Winter ([email protected]), University of Munich (LMU) Published by the Financial Conduct Authority (FCA) www.fca.org.uk