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Hurricane Futures Market David Letson, David Nolan

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Title: Hurricane Futures Market David Letson, David Nolan


1
Hurricane Futures MarketDavid Letson, David
Nolan David KellyUniversity of MiamiForrest
NelsonUniversity of Iowa
2
Heres Where I Work
Q Does Economics Really Belong Here?
3
Is HFM Wagering? You Betcha.
4
Is HFM Gallows Humor? No Way.
5
Hurricanes Economics
Q Is hurricane forecasting an economic
problem? If goal is to save lives, reduce
injuries or minimize economic impacts of
hurricanes then YES hurricane forecasting is (by
definition) an economic problem. Q Is economic
research essential to solving problem? YES!
Regardless of hurricane forecasts skill, economic
research improves how people communicate,
perceive, understand, respond to value
forecasts. Message Economic research creates
enormous value.
6
Ten Most Costly Hurricanes in US History,
(Insured Losses, 2005)
Seven of the 10 most expensive hurricanes in US
history occurred in the 14 months from Aug. 2004
Oct. 2005 Katrina, Rita, Wilma, Charley, Ivan,
Frances Jeanne
Sources ISO/PCS Insurance Information
Institute.
7
Government Aid After Major Disasters (Billions)
Hurricane Katrina aid will dwarf aid following
all other disasters. Congress may authorize
150-200 billion ultimately (about 400,000 for
each of the 500,000 displaced families). Is the
incentive to buy insurance and insure to value
diminished?
Within 3 weeks of Katrinas LA landfall, the
federal government had authorized 75B in
aidmore than all the federal aid for the 9/11
terrorist attacks, 2004s 4 hurricanes and
Hurricane Andrew combined! 29B more was
authorized in Dec. 2005. At least 80B more is
sought.
In 2005 dollars. Source United States Senate
Budget Committee, Insurance Information Institute
as of 12/31/05.
8
Hurricane Damage from Top 10 Hurricanes Since
1900 Adjusted for Inflation, Growth in Coastal
Properties, Real Growth in Property Values
(Billions of 2004 Dollars)
Great Miami Hurricane
Hurricanes causing 50B in economic losses will
become more frequently
Includes damage form wind and storm surge but
generally excludes inland flooding. Source Roger
Pielke and Christopher Landsea, December 2005
Insurance Info. Institute.
9
How Do We Solve This Economic Problem?
  • Should we find an expert? Form a committee?
  • Winston Churchill opted for committees when he
    endorsed democracy as the least-bad form of
    government.
  • Much is at stake. Not just hurricane hunting, but
    also how we should run businesses and
    governments.

10
Experts May Be Hard to Find
No one in this world, so far as I know, has
ever lost money by under-estimating the
intelligence of the great masses of the plain
people. H.L. Menken
11
Committees Dont Always Work
Men think in herds. They recover only their
senses slowly, and one by one. Charles Mackay
12
Car Talk
  • Hypothesis Do two people who don't know what
    they are talking about know less than one person
    who doesn't know what he's talking about?
  • One person will only go so far out on a limb in
    his construction of deeply hypothetical
    structures, and will often end with a shrug or a
    raising of hands to indicate the dismissability
    of his particular take on a subject.
  • With two people, the intricacies, the gives and
    takes, the wherefores and why-nots, can become a
    veritable pas-de-deux of breathtaking
    speculation, inter-woven in such a way that
    apologies or gestures of doubt are rendered
    unnecessary.

13
Stupidity in Numbers?
  • Anyone taken as an individual is tolerably
    sensible and reasonable, as a member of a crowd
    he becomes a blockhead. Bernard Baruch
  • The Mass never comes up to the standard of its
    best member, but on the contrary degrades itself
    to a level with the lowest. Henry David Thoreau
  • Madness is the exception in individuals, but the
    rule in groups. Nietzsche
  • I do not believe in the collective wisdom of
    individual ignorance. Thomas Carlyle
  • Crowds cannot accomplish acts demanding a high
    degree of intelligence. They are always
    intellectually inferior to the isolated
    individual. Gustave Le Bon

14
Sometimes Groups Are Smart
  • Francis Galtons ox
  • 1906 West of England Fat Stock and Poultry
    Exhibition.
  • Contest to guess dressed weight.
  • 787 guess. Non-experts.
  • Ho Only a very few people have the
    characteristics necessary to keep societies
    healthy. Breeding matters.
  • Average of all guesses 1187 lbs. Correct answer
    1198 lbs.
  • The average competitor was probably as well
    fitted for making a just estimate of the dressed
    weight of the ox, as an average voter is of
    judging the merits of most political issues.

15
Finding a Lost Submarine
  • In May 1968 the U.S. submarine Scorpion
    disappeared on its way back to Newport News after
    its North Atlantic tour.
  • Search area was a circle 20 miles wide, under
    thousands of feet of water.
  • Navy assemble an expert team. Mathematicians,
    submarine experts, salvagers. Each member was
    asked to guess, with Chivas Regal as the prize.
  • Five months later, the Scorpion was found 220
    yards from average guess of panel.

16
Wisdom as an Emergent Pattern
  • An emergent behavior or emergent property can
    appear when a number of simple entities (agents)
    operate in an environment, forming more complex
    behaviors as a collective.
  • The complex behavior or properties are not a
    property of any single such entity, nor can they
    easily be predicted or deduced from behavior in
    the lower-level entities they are irreducible.
    No physical property of an individual molecule of
    air would lead one to think that a large
    collection of them will transmit sound. The shape
    and behavior of a flock of birds or shoal of fish
    are also good examples.
  • The stock market is an example of emergence on a
    grand scale. As a whole it precisely regulates
    the relative prices of companies across the
    world, yet it has no leader there is no one
    entity which controls the workings of the entire
    market. Agents, or investors, have knowledge of
    only a limited number of companies within their
    portfolio, and must follow the regulatory rules
    of the market and analyze the transactions
    individually or in large groupings. Trends and
    patterns emerge which are studied intensively by
    technical analysts.

17
Efficient Market Hypothesis
  • Two economists are walking down the street. One
    sees a dollar lying on the sidewalk, and says so.
    "Obviously not," says the other. "If there were,
    someone would have picked it up!"

18
Smart Ants?
  • The queen does not give direct orders and does
    not tell the ants what to do. Instead, each ant
    reacts to stimuli in the form of chemical scent
    from larvae, other ants, intruders, food and
    build up of waste, and leaves behind a chemical
    trail, which, in turn, provides a stimulus to
    other ants.
  • Each ant is an autonomous unit that reacts
    depending only on its local environment and the
    genetically encoded rules for its variety of ant.
  • Despite the lack of centralized decision making,
    ant colonies exhibit complex behavior and have
    even been able to demonstrate the ability to
    solve geometric problems. For example, colonies
    routinely find the maximum distance from all
    colony entrances to dispose of dead bodies.

19
When Are Crowds Smart?
  • Necessary conditions
  • Cognitive Diversity lots of ideas, dissent
  • Independence no imitation or groupthink
  • Efficient aggregation.
  • Examples
  • Stock market reaction to Morton Thiokol,
    immediately following the 1986 Challenger
    disaster.
  • Horse racing and other sports gambling
  • Googles PageRank algorithm
  • Iowa Electronic Markets prediction markets for
    elections

20
2004 The Year That Was
  • 15 trop storms hurricanes
  • Charley, Frances, Ivan and Jeanne came too close.
  • Presidential Election
  • Toggling between NHC and IEM websites
  • An idea was born Hurricane Futures Market

21
The Hurricane Futures Market is a collaborative
research project between the University of Iowa
Tippie College of Business, the University of
Miami School of Business and the UM Rosenstiel
School of Marine and Atmospheric Science. The
Hurricane Futures Market is an experimental
research tool and is not a hurricane track
forecast. http//hurricanefutures.miami.edu/ind
ex.shtml
22
How Does It Work?
  • H0 Can a hurricane event market efficiently
    aggregate a larger body of expert opinion on
    hurricane track forecasts?
  • Each time a new hurricane or tropical storm is
    named, we create a set of securities each with a
    specific longitude and latitude.
  • One dollar is paid to the owner of a security
    with the geographic coordinates matching where
    the storm makes its first U.S. landfall.
  • HFM does not earn or lose money but serves as a
    research and educational tool.

23
Atlantic Storm Zones
  • ID Coordinates Nautical Miles Near
  • A1 80.3oW, 26.5oN 76.0 Boynton Beach, FL
  • A2 26.5oN, 28.9oN 151.8 Oak Hill, FL
  • A3 28.9oN, 31.8oN 174.2 Middle Place, GA
  • A4 31.8oN, 33.0oN 119.0 McClellanville, SC
  • A5 33.0oN, 76.8oW 191.4 Emerald Isle, NC
  • A6 76.8oW, 36.1oN 99.9 Kitty Hawk Beach, NC
  • A7 36.1oN, 72.2oW 330.1 East Hampton, NY
  • A8 72.2oW, 66.95oW 390 Eastport, ME
  • AX   Expires w/out US Landfall
  • AW West of 80.3oW Enters Gulf Basin

24
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25
Hurricane Ophelia (Sept 7-19)
  • 27 traders participated. The level of activity
    varied greatly by trader, with a few buying as
    few as 3 or 4 shares, and one glutton buying over
    2600.Five traders made 40 or more, while five
    lost 50 or more. The max win was 58, while the
    max loss was 80. Looks like some folks were
    confident about a Carolina landfall that never
    quite happened.More active traders tended to
    make more money. The simple correlation between
    shares bought and profits is 0.3.
  • A third of all trades occurred on the first day
    we opened the market (Sept 7). Sept 9 was also an
    active day (19 of all trades).The asset
    trading hands most frequently was the (correct)
    expires security.Asset 5, corresponding to the
    Carolinas, also saw much activity, while the W
    security (enters the Gulf basin) saw little
    trading. The market took quite a while to
    converge, reflecting the disagreement of the
    forecast models. On Sept 13, the closing price
    for asset 5 was 85 cents. The price for the
    expires security did not exceed 50 cents until
    Sept 14.

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30
What Can the Prices Tell Us?
  • Prices as Probabilities of Hurricane Risk.
  • Two basic questions
  • (1) What do hurricane strike probabilities mean?
  • (2) How should we assign quantitative values to
    actual hurricane events?
  • Hurricanes are not the repeatable trials required
    by frequentists.
  • A Bayesian approach would conceive of an ensemble
    of possible hurricane events.

31
Bayesian Framework
  • Use hurricane track forecast, x, to update
    probability distribution for landfall location,
    s, according to Bayes rule

32
Are Traders Bayesian?
  • We need to know more about how good forecasts
    tend to be, i.e., p(xs).
  • Given a landfall at s, what is the probability
    that the forecast would be correct, i.e., xs?
  • Knowing p(xs) would allow us to test whether
    prices evolve according to Bayes Rule.
  • If experts somehow get it wrong, what should we
    expect from lay users?

33
Track Errors
34
Future Directions
  • Are traders rational Bayesians?
  • Do traders understand probablistic forecasts?
  • Which forecasts do traders trust and use?
  • What about markets for seasonal forecasts?

35
  • HFM uses cutting-edge science to benefit risk
    awareness and profitability within the energy,
    (re)insurance and claims management industries.
  • A series of further innovative business-relevant
    developments are planned for the near future.
  • HFM is keen to seek partnerships with companies
    interested in applying and developing the
    business potential of its innovative products.

36
Source NOAA Press Release, 30 Nov 2006
http//www.noaanews.noaa.gov/stories2006/s2748.ht
m
37
HedgeStreet.com
  • A rival, but without scholarly ambitions.
  • Two classes of so-called binary contracts,
    whose values are based on insurance-claims
    estimates provided by Insurance Services Office
    (ISO)
  • insurance-claim estimates for the entire Atlantic
    hurricane season contract values with damages
    above 100 million, above 1 billion, 10 billion
    and 25 billion.
  • preliminary damage assessments caused by an
    individual hurricane or tropical storm
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