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On this episode of The nestegg Podcast, host Maja Garaca Djurdjevic and three experts discuss the latest in equities, property investing and super.

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Steve Waters, director of Right Property Group, chats about the latest in property, including CoreLogic’s latest findings, which suggest national home values have increased at the fastest pace in over 30 years, and why he isn’t quite sure this is the case.

RMIT’s senior lecturer of finance, Dr Angel Zhong, talks about soaring travel stocks, the rising popularity of NFTs and what they are, as well as the sudden meltdown of Archegos Capital Management.

And lastly, tax and super guru Timothy Munro gives his thoughts on Paul Keating’s early release of super verdict, as well as an overview of life after JobKeeper.

Have a question for our experts? Get in touch at [email protected] and you might get featured on the next episode.

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Home values up 30% (or are they); NFTs taking the world by storm, and why Keatin...

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This mental trait could help you get a loan

By Lucy Dean

August 20 2018
Share

Invest

This mental trait could help you get a loan

By Lucy Dean
August 20 2018

As behavioural economics is increasingly incorporated into the finance sector, lenders could look to our thought patterns when deciding whether to extend credit or not.

loan, how to get a loan, mental trait, mental accounting, loan repayments

This mental trait could help you get a loan

By Lucy Dean

August 20 2018
Share

As behavioural economics is increasingly incorporated into the finance sector, lenders could look to our thought patterns when deciding whether to extend credit or not.

According to new research from the University of Sydney Business School, people who possess a trait known as “mental accounting” are more likely to be able to repay loans than others.

This means assessments measuring this trait could become a viable option for customers without a credit history.

“Mental accounting is a tendency to separate money into different mental accounts based on the source of the money and the importance of its intended purpose,” said senior lecturer Quan Gan.

“For example, people with this behavioural bias might divide their money into mental accounts such as rent, food, entertainment, travel and loan repayments.

“They are unlikely to spend money set aside for loan repayments on entertainment or travel when those accounts are exhausted.”

This trait is more common in people older than 40 and people with higher levels of education.

Mr Gan said this behaviour could be used as a measure of creditworthiness, noting that those with a bias towards mental accounting are also more likely to pay debts earlier.

“Given a choice between higher interest rates over a shorter repayment period and lower rates over a longer period, these people will opt to pay more because they don’t like debt,” he explained.

The research was informed by a study carried out in Vietnam with fintech firm Rich Data Corporation. The researchers, Mr Gan, associate professor Eliza Wu and PhD candidate Bei Chen, analysed study participants’ Facebook, Twitter and Google Plus accounts to gain an insight into spending priorities.

“Vietnam is a country with underdeveloped individual credit records and lenders are looking for innovative ways to determine the creditworthiness of a customer from sources of information other than the typical credit scores used in developed countries,” Mr Gan said.

Rich Data Corporation’s CEO Ada Guan added that the research could be utilised through the use of behavioural economics, artificial intelligence and alternative data sources to extend credit to people with short or no credit histories.

Ms Guan said the results allow lenders to differentiate credit risk outside of credit data.

“Combining with machine learning, we will be able to build highly predictable credit scoring models for these people,” she said.

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