Trading on Mother Nature
When it comes to volatility, the stock market pales in comparison to recent weather patterns. Two years ago, New York saw record amounts of snow, while temperatures this winter barely dipped below freezing. Then there's El Nino and Nor'easters and Hurricane Insert-Name-Here.
Last week I took a trip down to Houston to catch up with energy firms and attend Energy Risk USA, which was hosted by our sibling publication Energy Risk. One of the more interesting panels I sat in on had to do with weather risk management and hedging strategies.
Trading on Mother Nature seems a bit like playing roulette—sure, some patterns seem to develop, but it really comes down to whether that bouncing ball lands on black or red. So can best-of-breed technology offer an advantage in such a volatile sector? Or does it simply instill a sense of misplaced confidence?
Since weather is not tied to systemic risk, it makes for a good hedging strategy. But how much can technology play into that strategy?
Ria Persad, director of StatWeather, which provides tools for weather analysis, made the case that technology can play a significant role. StatWeather uses a model that looks at tail risk through a Bayesian forecasting model that employs probability distribution. Using this last winter as an example, Persad says that by utilizing a solution based on Bayesian inference, each extreme weather instance produces more data that helps to create a better prediction about what will happen in the future. It's not just about looking at history as a whole.
Others in this field include RenRe Energy Advisors, Weather Central, WeatherPro and Swiss Re. StatWeather's solution does not just count how many warm winters there have been in the US throughout recorded history; it looks at how the weather is trending and how that information is useful for forecasting the future.
"If I told you that what we saw in the winter was very atypical considering all history, it was a three-out-of-1,000 probability," Persad says. "But then I could say to you that based upon the pattern that's been happening over time, in light of this past decade in particular, the probability of having this type of winter was not really tail risk."
Energy producers invest heavily in weather forecasting technology to help hedge their own production. Banks use it to trade based off of extreme weather events and even have meteorologists on staff. So, how much have hedge funds gotten into the weather derivatives space? Are they investing in technology to help them predict weather events, or are they more in a reactionary position?
After all, while you may not be able to afford bringing on a meteorologist, having new types of data to forecast the future is similar to a sports team using sabermetrics to gain an advantage over teams with larger budgets.
If you're in the space, please drop me a line at anthony.malakian@incisivemedia.com or +1 646-490-3973.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Trading Tech
Bloomberg offers auto-RFQ chat feed—but banks want a bigger prize
Traders hope for unfettered access to IB chat so they can build their own AI-enhanced trading tools
TMX launches ATS in US
The move represents the first expansion of the exchange group’s markets business outside of Canada.
AI co-pilot offers real-time portfolio rebalancing
WealthRyse’s platform melds graph theory, neural networks and quantum tech to help asset managers construct and rebalance portfolios more efficiently and at scale.
Opra considers ‘dynamic load balancing’ for options market
The data distributor recently completed a challenging project to build a 96-line feed. This new endeavor could prove just as challenging (but perhaps necessary) for the industry that will use it.
Big questions linger as DORA compliance approaches
The major EU regulation will go live tomorrow. Outstanding clarifications and confusion around the definition of an ICT service, penetration testing, subcontracting, and more remain.
Market data for private markets? BlackRock sees its big opportunity
The investment giant’s CEO said he envisions a far bigger private market business in 2025.
8 bank CTOs and CDOs sound off on artificial intelligence
Waters Wrap: Last year, WatersTechnology spoke with heads of technology and data from a range of tier-1 banks. Anthony pulls at one common thread from those interviews: AI.
Artificial intelligence, like a CDO, needs to learn from its mistakes
The IMD Wrap: The value of good data professionals isn’t how many things they’ve got right, says Max Bowie, but how many things they got wrong and then fixed.