An artificial intelligence tool could help governments decide whether or not to bail out a bank in crisis by predicting if the intervention will save money for taxpayers in the long term.
From: University College London
November 17, 2022 -- The
AI tool, described in a new paper in Nature Communications,
assesses not only if a bailout is the best strategy for taxpayers, but also
suggests how much should be invested in the bank, and which bank or banks
should be bailed out at any given time.
The algorithm was
tested by the authors using data from the European Banking Authority on a
network of 35 European financial institutions judged to be the most important
to the global financial system, but it can also be used and calibrated by
national banks using detailed proprietary data unavailable to the public.
Dr Neofytos
Rodosthenous (UCL Mathematics), corresponding author of the paper, said:
"Government bank bailouts are complex decisions that have financial,
social and political implications. We believe the AI approach we have developed
can be an important tool for governments, helping officials assess specifically
financial implications -- this means checking if a bailout is in the best
interest of taxpayers, or whether it would be better value for money to let the
bank fail. Our techniques are freely available for banking authorities to use
as tools in their decision-making process."
Co-author Professor
Vito Latora (Queen Mary University of London) added: "Governments and
banking authorities can also use our approach to retrospectively review past
crises and gain valuable learnings to inform future actions. One could, for
example, review the UK government bailout of the Royal Bank of Scotland (RBS)
during the financial crisis of 2007-9 and reflect on how this could potentially
be improved (from a financial standpoint) in the future in order to primarily
benefit taxpayers."
In a bank bailout, a
government investment in a bank increases the bank's equity and reduces its
risk of defaulting. This cost in the short term may be justified to the
taxpayer if it leads to lower taxpayer losses in the long term -- i.e., it
prevents bank defaults that are more damaging to government finances.
In their study, the
researchers created a mathematical framework for comparing different bailout
strategies in terms of predicted losses to taxpayers. Considered factors
include how long the financial crisis is expected to last, the likelihood of
each bank defaulting and the effect of a default on other banks in the network,
as well as taxpayers' stakes in the banks.
Using a mathematical
control process, called Markov Decision Process, the researchers incorporated
into this framework the effect of a government intervention at any given point
in time.
They then developed a
bespoke AI algorithm to assess optimal bailout strategies, comparing no
intervention to different types of intervention -- that is, varying levels of
investment in one bank or many banks -- at different time points during a
crisis. An AI technique is needed as modelling such a system is highly complex,
as the future behaviour of all banks in the system can be infinite.
In their case study
using data from the European Banking Authority, they showed that government
bailout would be optimal only if the taxpayers' stakes in the banks were
greater than some critical threshold value, determined via the model. The
optimal policy drastically changed once the percentage loss had gone above this
threshold.
Moreover, it was shown
that government bailout tended to be more favourable the greater the network's
distress (defined in terms of a percentage reduction in the banks' equity), the
longer the crisis lasted and the bigger the banks' exposures to other banks
were (that is, how much they had lent other banks and therefore stood to lose
if these banks failed).
The researchers also
found that, once a bank had received a bailout, the best strategy for taxpayers
was if the government continued to invest in that bank to prevent default. This
could lead to a lack of incentive for the rescued bank to guard against risk,
potentially increasing risk-taking.
Lead author Dr Daniele
Petrone said: "Banks have so far weathered the current economic storm
triggered by the Covid-19 pandemic. Their resilience has been bolstered by
regulatory measures introduced following the global financial crisis of 2007-9
and by accommodating central banks' monetary policies that have avoided
bankruptcies across industries. However, no one can predict the effect on the
financial system as central banks reverse previous policies, such as increasing
interest rates due to inflation concerns, and so bailouts are still a
possibility."
https://www.sciencedaily.com/releases/2022/11/221117102827.htm
No comments:
Post a Comment