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She works in applied empirical economics and finance with a particular emphasis on the interaction between financial markets and the economy.

Her work features novel solutions to measuring the effects of financial market shocks during crises transmitting across the globe via contagion, and the risks inherent in the financial sector for the rest of the economy.

And while it probably wouldn’t surprise anyone that financial institutions and investment firms are less than forthcoming about their data, they’re not the only industry that’s doing it.

As part of her recent review of electricity data from the Australia energy sector, Professor Dungey says she’s trying to gain a better understanding of the market bidding structure that’s almost impossible for decision-makers to decipher based on the available information.'The data are publicly available, but I would challenge any educated person to make sense of it.

If the Global Financial Crisis (GFC) of 20 taught us anything, understanding the transmission of financial crises from one country to the next – a phenomenon known as contagion – is the key to mitigating the risks.

And that involves unravelling the incredibly complex global networks hidden within the data.“I'm interested in how the fragility of those networks affects how we design our markets,” says Professor Dungey.“For example, if we design them so our banks are large and interconnected, is that a good or a bad thing?

Economic modeling reveals the interconnectedness of extremely diverse subjects'It’s about looking at big data and finding where things are a bit odd,' says Professor Mardi Dungey from the Tasmanian School of Business & Economics.

I’m trying to unpack that behaviour, because there’s evidence of it happening in Australia, so I’m trying to feed that into the debate about how the electricity market should be reformed.”Being able to ferret out anomalies in big data is crucial if we want to ensure the stability of the Australian economy, but due to how deeply connected the global economy has become, we have to look beyond our own markets, too.Mardi has authored more than 50 peer-reviewed publications, including in the Journal of Banking and Finance, Journal of Applied Econometrics and Journal of Money, Credit and Banking and held 10 Australian Research Funded competitive grants.She was elected as a Fellow of the Academy of Social Sciences in Australia in 2013.Her research interests firmly reflect a desire to understand how big data can be used to improve decision makers, particularly those affecting macroeconomic policy through the setting of interest rates and fiscal policy, and the regulation and design of financial markets to help the economy weather financial crises.Currently, projects run in the Economics and Finance group include using transaction level data from financial markets to assess how shocks originating in the financial sector affect firms in other parts of the economy.

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Mardi's research aligns with the University's research theme of Data, Knowledge and Decisions.