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December 7, 2022

Future-Proofing Liquidity Risk: The Stagflation Dilemma

Hear from Alla Gil, the co-founder and CEO of Straterix, as we examine the liquidity risk challenges and trends that have been fueled by extremely rare market conditions.


In a recent survey conducted by the Securities Industry and Financial Markets Association, 80% of economists named stagflation – or a combination of high inflation and stagnant growth – as the greatest long-term risk to the U.S. economy. The economists said that stagflation presents an even bigger threat than a 2023 recession, and this news has undoubtedly added to the consternation currently felt by liquidity risk managers.


We haven’t seen a true period of stagflation in the U.S. since the oil crisis of the 1970s, and its therefore very difficult to factor this anomalous macroeconomic risk into contemporary liquidity risk models.


Alla Gil joins GARP editorial director Robert Sales to discuss the impact of stagflation and the steps risk practitioners responsible for modeling and managing liquidity risk can take to ensure that they have enough cash on hand, both now and in the future?

 

SPEAKER’s BIO:

Alla Gil is CEO and co-founder of Straterix Inc. With an academic background in theoretical mathematics, she began her Wall Street career at Goldman Sachs, working on stochastic models for derivative pricing. While heading Global Strategic Advisory teams at Citigroup, Nomura - and again at Goldman Sachs - she introduced stochastic modelling and an optimization approach to the world of corporate finance. Over a 20-year period, Alla advised banks, sovereign treasuries, insurance companies, asset managers, and pension funds on ALM, stress testing, long-term risk projections, liquidity, optimal capital allocation and balance sheet optimization With Straterix, she has developed a methodology and tools that enable clients to automate the process of scenario creation and expansion to assist in strategic capital planning and optimization, as well as risk management and stress testing.

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