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Beware of behavioural biases in currency management. Welcome to CurrencyCast. My name is Agustin Mackinlay, I’m the Senior Financial Writer at Kantox and your host. In this episode, we explore behavioural biases in currency management. Behavioural biases are systematic but unconscious errors that result from the mental shortcuts we all use when making decisions. They were made famous by two Israeli psychologists, one of whom Daniel Kahneman, the well-known author of Thinking Fast and Slow, went on to earn a Nobel Prize in economics.
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We’ll reveal how the use of FX automated solutions can go a long way in helping currency managers mitigate some of the most damaging behavioural biases. Here's a list, by no means exhaustive, of some of the most common behavioural biases in currency management: conservatism bias, the finance team may be too slow in updating their beliefs when confronted with new evidence, is likely for them to restrict investment and constrain the future of the company.
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The forward rate bias can be described as a tendency to view a large interest rate differential between two currencies as an opportunity for an easy financial gain, rather than a sign of impending risk. Overconfidence bias, when managing currencies feeling unrealistically sure about themselves can lead managers to speculate in currency markets. Finally, the bias of loss aversion occurs when managers take too much risk to avoid what they see as a painful loss.
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While at the same time, being too risk averse in the face of favorable market opportunities. Of all the behavioural biases just mentioned, conservatism bias might be the most damaging. Despite the evidence showing that currency management, thanks to technology, is not the resource intensive activity it once was, firms that do not update their beliefs and stick to just a handful of currencies may face subpar economic performance.
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The forward rate bias, in turn, creates reluctance to hedge currencies, like the Brazilian real, because its high interest rate translates into a deep forward discount against the likes of the Swiss franc or the Euro. The bias of overconfidence shows up mostly in currency forecasts. This might turn out to be accurate during a year or two, but then disaster inevitably strikes.
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The bias of loss aversion manifests itself mostly in financial modeling. In protecting the budget rate with conditional orders, setting stop loss orders at too great a distance from the spot rate, creates markups that may put the firm's competitive position at risk. Currency management automation can go a long way in mitigating behavioural biases powered by carefully defined business rules and removing systematic errors.
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Automated FX hedging programs are introduced to remove currency risk with great precision, making it possible to foster growth by embracing currencies. Meanwhile, delaying hedges execution with a static and dynamic conditional orders is a great way to ease concerns about the high cost of hedging in the face of unfavorable forward points. This realization will help companies do away with behavioural biases in currency management.