Title: ECON%20337:
1ECON 337 Agricultural Marketing
Chad Hart Associate Professor chart_at_iastate.edu 51
5-294-9911
Lee Schulz Assistant Professor lschulz_at_iastate.edu
515-294-3356
2Basis
- Basis Cash Futures
- Futures reflect global supply and demand
- Basis reflects local supply and demand
- Cash Futures Basis
3Basis Basics
- Specific to time and place
- Typically use nearby futures
- Convergence
- Less variable than cash prices
- Relatively predictable
4Basis Factors
- Relative storage capacity
- Transportation availability and cost
- Time to expiration
- Quality issues
5Basis Terms
6Interior Iowa Daily Grain Prices
http//www.ams.usda.gov/mnreports/nw_gr110.txt Clo
sing cash grain bids offered to producers as of
130 p.m. Dollars per bushel, delivered to
Interior Iowa Country Elevators. US 2 Yellow
Corn Prices were mostly 3 cents higher for a
state average of 3.63. US 1 Yellow Soybean
Prices were mostly 4 cents lower for a state
average of 9.23. Iowa Regions 2
Yellow Corn 1 Yellow Soybeans
Range Avg Range
Avg Northwest 3.61
3.70 3.64 9.18 9.28 9.24 North
Central 3.56 3.73 3.64 9.15 9.28
9.22 Northeast 3.56 3.76
3.66 9.05 9.31 9.18 Southwest
3.33 3.68 3.55 9.08 9.31 9.21
South Central 3.51 3.67 3.57
9.18 9.25 9.22 Southeast
3.43 3.75 3.63 9.20 9.44
9.30 Corn basis to STATE AVERAGE PRICE for the
CBOT MAR contract is -.24 Soybean basis to STATE
AVERAGE PRICE for the CBOT MAR contract is -.50
7Specific to Time and Place
8Average Iowa Corn Basis, 2007-11
Source
http//www.extension.iastate.edu/agdm/crops/pdf/a
2-41.pdf
9Iowa Corn Basis, May Futures, 2007-11
Source
http//www.extension.iastate.edu/agdm/crops/pdf/a
2-41.pdf
10Iowa Corn Basis, May Futures, 2007-11
Source
http//www.extension.iastate.edu/agdm/crops/pdf/a
2-41.pdf
11Data Source USDA/AMS
12Data Source USDA/AMS
13Basis Information
- ISU Extension and Outreach, Ag Decision Maker
- Corn http//www.extension.iastate.edu/agdm/crops/
html/a2-41.html - Soy http//www.extension.iastate.edu/agdm/crops
/html/a2-42.html - Cattle http//www.extension.iastate.edu/agdm/lives
tock/html/b2-42.html - Hogs http//www.extension.iastate.edu/agdm/livest
ock/html/b2-41.html - USDA-Ag. Marketing Service
- http//www.ams.usda.gov/mnreports/lsddgr.pdf
- http//www.ams.usda.gov/mnreports/nw_gr110.txt
- Local elevators, ethanol plants, processing
plants, etc.
14- Basis and price forecasting tool
- Enter specific information
- Location
- Date
- Weight
- Frame score and grade
- Sex
- Number
15Sex Steer
Frame Lg Med/Lg
Grade 1
Head 100
16Sex Steer
Frame Lg Med/Lg
Grade 1
Head 100
17Seasonal Price Patterns Basis
- Period of increasing supplies, prices are
expected to decline. - Cash market reflects today's supply conditions
and price. - Futures market reflects upcoming conditions of
expected larger supplies and lower prices. - Basis may be very narrow or cash price may be
above futures. - i.e., Hogs mid-August to mid-September.
- Period of decreasing supplies, prices are
expected to increase. - i.e., Hogs late-Dec and early-Jan against the
Feb futures. - Seasonal price period of relatively large
supplies and low cash prices, but the Feb futures
contract reflects a delivery period of expected
smaller supplies and higher prices. - Low cash prices and high futures translate into a
wide basis.
18Threat of Delivery Basis
- Hedgers can deliver on a futures contract.
- If enough producers deliver on futures contracts,
cash prices will tend to move up relative to
futures. -
- The threat of delivery tends to limit how wide
the basis will be during the delivery period. - The variation in basis during delivery periods
tends to be less than during periods with no
delivery option.
19Grain Basis vs. Livestock Basis
- Grain is a storable commodity and the same grain
can be used to satisfy several futures contract
delivery months. So grain futures prices tend to
be tied to one another. - Livestock is not storable so livestock futures
prices for alternative delivery months tend to
move independently. - Because grain is a storable commodity, the grain
basis is tied closely to grain storage costs and
interest costs. Livestock are not storable so
there are no storage costs built into the basis.
20Grain Basis vs. Livestock Basis
- An inverse basis in grain futures (cash above
futures) is unusual and indicates there is
something amiss in the grain industry (lack of
transportation, for example). An inverse basis in
grains will usually last only for a short period.
- An inverse basis in livestock futures is not
unusual for distant delivery contracts and can
exist for extended periods of time. Only during
the nearby futures contract delivery periods do
we expect livestock futures to be above cash
price.
21Convergence
22Convergence Issues
- Typically, as futures contracts reach maturity,
futures price and cash prices at delivery points
tend to converge to the same level. - For several grain and oilseed futures contracts
over the last few years, this has not occurred. - Poor Convergence Performance of CBOT Corn,
Soybean and Wheat Futures Contracts Causes and
Solutions - Scott Irwin, Philip Garcia, Darrel Good, and
Eugene Kunda - University of Illinois, March 2009
23Why Is Convergence An Issue?
- Non-convergence indicates the market is
out-of-balance. - When a contract is out of balance the
disadvantaged side ceases trading and the
contract disappears. (Hieronymus, 1977) - Non-convergence adds to the uncertainty in basis
and limits hedging effectiveness.
Source Irwin, Garcia, Good, and Kunda,
2009 Marketing and Outlook Research Report 2009-02
24Factors
- The relationship between the spread between
futures contracts and the cost of carry (think
storage costs) - In the settlement process for corn and soybean
futures, the delivery instrument is a shipping
certificate. - If it is advantageous to the holder of a shipping
certificate, they can delay delivery and
effectively store the grain, paying CBOT set
storage costs. - Structural issues related to the delivery process
- Does the general trade flow of the commodity line
up with the possible delivery points under the
futures contract?
Source Irwin, Garcia, Good, and Kunda,
2009 Marketing and Outlook Research Report 2009-02
25Delivery Points
How much of the commodity is moving through the
delivery point areas?
Corn
Soybeans
Wheat
Source Irwin, Garcia, Good, and Kunda,
2009 Marketing and Outlook Research Report 2009-02
26- Class web site
- http//www.econ.iastate.edu/chart/Classes/econ337
/Spring2015/ - Lab in Heady 68.