Stormy weather: Overestimating risk in the wake of disaster

Adrien Matray, HEC Paris PhD and Professor of Economics at Princeton University and Olivier Dessaint, PhD HEC Paris and Professor of Finance at the University of Toronto - April 18th, 2016
Stormy weather: Overestimating risk in the wake of disaster - with Adrien Matray - ©Fotolia - behindlens

In a new study, Adrien Matray and Oliver Dessaint reveal that in the aftermath of hurricanes managers of nearby businesses tend to increase corporate cash holdings. This decision is irrational: the immediacy of the disaster makes the risk of damages from a storm seem greater although the actual probability remains the same. Overestimating risk is costly for business, so the researchers say companies should develop structures to prevent knee-jerk reactions to natural or financial crises. 

Adrien Matray ©HECParis

Adrien Matray completed his PhD in finance at HEC Paris and is now Assistant Professor of Economics at Princeton University in the USA. His research interests include finance (...)

Olivier Dessaint, PhD HEC Paris et Professeur de Finance à l’Université de Toronto

Olivier Dessaint is an Assistant Professor of Finance at the University of Toronto. His research interests include corporate finance and behavioral finance. His recent work (...)

The Fukushima disaster in 2011 first promoted Matray and Dessaint’s interest in the question of why managers often make mistakes when assessing business risk in the wake of crises. They learned that following the event a number of firms increased their cash holdings. “Cash is a buffer against liquidity shock,” he explains. “The widespread switch to cash suggests businesses increase their estimation of the risk. The question then is whether this increased estimation is rational or is an overreaction.” Indeed, studies consistently show that people respond to the manifestation of a risk in surprising ways; everyone is guilty of making decisions contrary to objective probability calculations. “Behavioral economics argues that people can be irrational and make mistakes in a systematic way; in a sense, people are ‘predictably irrational’,” explains Adrien Matray. “Because these mistakes are predictable, perhaps we can find ways to avoid them, correct for error, or factor irrationality into our plans and strategy.”

The availability heuristic

When assessing risk, we tend to use mental short cuts or heuristics, a “rule of thumb” to simplify the problems we face. This way of thinking can save time, but it also leads to mistakes. The availability heuristic implies that people infer the frequency of an event (its risk) from its availability, i.e., the ease with which concrete examples related to the risk come to mind. “When you go skiing, you might estimate the risk of breaking your leg,” says Matray. “If a friend has recently broken a leg while skiing, this event will be a vivid salient risk and quickly spring to mind – you will probably overestimate this risk. However, if you are from a family of good skiers and no-one has ever broken a leg, then this event will seem unlikely and you will underestimate the risk.” Do manager succumb to this common mistake when they face salient risks? “When firms are close to an event, are managers likely to overestimate the risk that they could be affected by subsequent similar events?” Matray asks. “Is there a discrepancy between risk perception and actual risk?”

Hurricanes: cash holdings as a measure of risk perception

Hurricanes are salient events because they cause death, destruction and financial loss – they grab your attention. However, if you have been in the vicinity of a hurricane, the probability of you being hit in following years does not increase. In other words, hurricane risk is ’stationary’; the occurrence of a hurricane contains no information about the probability of a hurricane occurring again in the near future. Therefore, any change in your behavior after a hurricane would indicate an overestimation of future risk. With this in mind, Matray and his colleague Olivier Dessaint accessed data available through the Spatial Hazard and Loss Database for the United States (SHELDUS). They obtained the date and location of all major hurricanes (15 in total) that made landfall between 1989 and 2008 and caused damages in excess of $5 billion. The pair decided that cash holdings were a good measure of risk perception as companies keep cash as a buffer or ‘insurance’ against liquidity shock. The researchers predicted that any variation in estimated risk should translate to a variation in corporate cash holdings. As a direct proxy, Matray and Dessaint also looked at annual business reports to see when hurricanes are mentioned as a potential risk. They compared the reports of businesses close to hurricanes, to those further away, and evaluated if the likelihood of businesses mentioning hurricanes altered following such events. 


Guillemet

They are trained, well-educated professionals but salient events cause many managers to make biased financial decisions

The overestimation of risk in the aftermath of salient events

The analysis revealed that in the aftermath of a hurricane nearby businesses temporarily increased their cash reserves by an average of $15 million, even though they were unaffected. Their sales and profitability earnings did not change after the event, yet they behaved as if the risk of future liquidity shortage had increased. Interestingly, the increase in cash for neighboring firms matched the average cost to a business affected by hurricane damage. ”This finding suggests that managers have observed this salient event and consider it 100% likely that their business will be hit next year,” Matray points out, “although the actual probability remains just 6%.” His examination of annual business reports showed the same tendency to overreact: businesses in the vicinity of a hurricane are 86% more likely to mention them as a risk, but within two years mention of hurricanes as a risk drops back down to baseline levels. “The fact that the increase is only temporary is very consistent with the availability heuristics. The sudden salience of liquidity risk increases perceived risk and leads managers to increase cash holdings even though the real risk does not change,” says Matray. “Over time, as salience decreases, both perceived risk and cash holdings revert to pre-hurricane levels. When exposed to such a salient event, rational risk estimation seems to be completely disregarded. Managers see the likelihood of being affected by a future event as almost certain. They are trained, well-educated professionals but salient events cause many managers to make biased financial decisions.”

This irrational response can be bad for business, Matray warns. “After a hurricane, nearby businesses stock pile for the future, but this is expensive – the cash could be used for further investment and company growth. Shareholders do not like large company reserves and a drop in share prices reflects this. In addition, businesses benefit from tax deductible interest on debt, and when they hold cash they don’t benefit from the tax shield debt provides, so this costs them money too.”

Based on an interview with Adrien Matray on his paper “Do managers overreact to salient risks? Evidence from hurricane strikes,” co-authored with Olivier Dessaint (March 2016).

Practical Applications
Practical Applications

Matray recommends companies design decision structures that help to prevent overreaction to risk. “Committee decisions go a long way in overriding bias,” he asserts. “A CEO or CFO who acts autonomously is prone to psychological biases. Committees, however, bring several perspectives to the table and help companies base decisions on rational debate.” Matray warns companies not to ignore the advice of their risk management departments and advisors. “Companies should do what they can to protect against bias,” he says, “but governments and regulators should prepare for the worst. They should be ready to step in directly and aggressively to prevent or counter poor decision-making in the wake of a natural disaster or financial crisis.” 

Methodology
Methodology

Matray and Dessaint looked at the variation in cash holdings in companies in or near areas affected by major hurricanes making landfall in the USA between 1989 and 2008. They took data on company location and cash holdings from Compustat Quarterly and hurricane data from the national SHELDUS database. Combining this data, they determined how businesses reacted financially to hurricanes and assessed whether managers overreacted to these events. They also analyzed whether proximity to a hurricane affected whether a company mentioned hurricanes as a business risk in their annual reports.