The Livestock Gross Margin Insurance Program for Dairy: Potential for Future Research? Brian W. Gould Associate Professor Department of Agricultural and Applied Economics Victor E. Cabrera Assistant Professor Department of Dairy Science Dairy Price Risk: What are the Alternatives How Can Producers Control Milk Price Risk? Forward Fixed Price Contracts via Cheese Plant 2008 Farm Bill: Private Firms Can Offer Fixed Price Forward Contracts Minimum Price Contracts with Cheese Plant Similar to Use of Class III Put Option Traditional Hedging and Options Strategies Class III Futures Contract: Milk from average Wisconsin dairy farm with 125 cow herd LGM-Dairy: An Overview Livestock Gross Margin Insurance for Dairy (LGMDairy) Available Starting in August 2008 Protects Against Unanticipated Declines in Gross Margins Where Gross Margin = Milk Revenue – Feed Costs Purchased from Crop Insurance Agents Selling Federal Crop Insurance Products LGM-Dairy: An Overview Who is Eligible to Participate? WA MT ME ND OR VT NH NY MA CT RI MN ID SD WI WY MI PA IA CA NV NE UT IL IN WV CO KS AZ NJ MD DE OH MO NC TN OK NM VA KY AR SC MS TX AL GA LA FL LGM-Dairy eligible states shown in yellow LGM-Dairy: An Overview LGM-Dairy Similar to Combined Use of: Put Option to Control Milk Price Downside Risk Call Options to Control Feed Cost Upside Risk LGM-Dairy is Customizable as to: Size of Operation Up to 240,000 cwt Over 10 Months 1,500 Head Using Average Wisconsin Yield Months Insured (From 1 to 10 Months) % of Monthly Gross Margins Covered Gross Margin Deductible Range: $0 - $1.50/cwt LGM-Dairy: Definition of Gross Margin Definition of Gross Margin Gross Margin = Total Value of Covered Milk – Total Purchased Feed Costs Feed Does Not Actually Need to be Purchased but Valued as if Was Both Milk Value and Feed Cost NOT Based on Actual Farm Prices Milk Price: State All-Milk Price Feed Prices: State Corn Price U.S. Soybean Meal Price LGM-Dairy: Definition of Gross Margin Expected Feed Use Over Contract Period Converted to Corn and Soybean Meal Equivalents Any Reasonable Conversion System Acceptable UW Understanding Dairy Markets Website has Conversion Software Available Spreadsheet Web-Based Feed Equivalents Need to be in Very Broad Ranges: Corn: 0.00364–0.02912 Tons/cwt • 0.13 – 1.04 bu Corn equivalent/cwt Milk Soybean Meal: 0.000805–0.006425 Ton/cwt • 1.61 – 12.85 lb Meal equivalent/cwt Milk LGM-Dairy: Program Characteristics What Impacts Total Insurance Contract Premium? Amount of Milk and Feed Insured (+) Proportion of Gross Margin/cwt Not Covered Under LGM-Dairy Contract (-) Determined by Producer Expected Milk Price (+) Corn and Meal Prices (-) Expected Price Volatility Over Contract Period (+) Determined by Futures/Options Settle Prices at Sign-up and Beyond Producer Control LGM-Dairy: Program Characteristics Example of One Possible Insurance Strategy Purchase Insurance in February Possible Production Months Covered Feb ′09 Purchase at End of Month Mar ′09 Apr ′09 May ′09 Jun ′09 Jul ′09 Aug ′09 Sep ′09 Oct ′09 Nov ′09 Dec ′09 Jan ′10 1 2 3 4 5 6 7 8 9 10 No Coverage Covered Months Insurance Contract Period Apr May Jun Sep Oct Have from 4 pm (EDT) on 3rd to last business day of purchase month to 9 am (EDT) on the following day to make purchase decision(i.e., 17 hour-period) Nov LGM-Dairy: Program Characteristics GMG AGM IND Gross Margin Guarantee Actual Gross Margin Indemnity EGM DL Expected Gross Margin Deductible Level EMR EFC Expected Milk Revenue Expected Feed Cost EMP SMB ECC Expected Class III Price State Milk Basis Expected Corn Cost ESC PREM Premium Cost AMR AFC Actual Milk Revenue Actual Feed Cost CME CBOT Actual Class III Price Settlement Actual Feeds Costs Settlement Expected SBM Cost Policy Rules CME Class III Futures SCB CBOT State Corn Basis Corn Futures CBOT SBM Futures Exogenous Data TM EFQ Target Marketings Expected Feed Quantity Producer Data/Decision LGM-Dairy: Program Characteristics Premium Estimates Available via RMA Website www.rma.usda.gov/tools/premcalc.html on Purchase Day UW has developed an unofficial web-based premium calculator using current futures and options http://future.aae.wisc.edu/premium/ You Want to Purchase a Contract, How are Expected Prices Determined? Futures Settle Price Averaged Over 3rd, 4th and 5th Last Business Days of Insurance Purchase Month Corn, Soybean Meal and Class III Futures LGM-Dairy: Wisconsin Example Farm characteristics 250 milk cows Average per cow productivity: 19,769 lbs 2007 WI 200-499+ herd size category average → Herds % of Herds % of Prod. Avg. Yield 1-29 1,900 13.2 1.5 11,586 30-49 3,600 25.0 10.0 16,092 50-99 6,100 42.4 29.0 17,778 100-199 1,800 12.5 18.5 19,310 200-499 750 5.2 19.0 19,769 500+ 250 1.7 22.0 24,750 Total 14,400 100.0 100.0 19,305 LGM-Dairy: Wisconsin Example Purchase insurance in Jan. → possible 10-Month insurance period: Mar `09 – Dec `09 Cow productivity changes by month Based on Wisconsin monthly yield profile Amount of feed expected to be used 966 tons Corn equivalent 213 tons SBM Equivalent Insure 100% of production (extreme example) LGM-Dairy: Wisconsin Example Month Prod./Cow (lbs) Production (cwt) Corn Equiv. (Tons) SBM Equiv. (Tons) Mar `09 1,685 4,213 98.1 21.7 Apr `09 1,645 4,113 95.8 21.1 May `09 1,736 4,340 101.1 22.3 Jun `09 1,675 4,188 97.6 21.5 Jul `09 1,696 4,240 98.8 21.8 Aug `09 1,675 4,188 97.6 21.5 Sep `09 1,609 4,023 93.7 20.7 Oct `09 1,630 4,075 94.9 20.9 Nov `09 1,615 4,038 94.1 20.8 Dec `09 1,625 4,063 94.7 20.9 Total 16,591 41,481 966.3 213.2 Calculation of Expected Prices With January 28th insurance purchase date Expected Price Measurement Period (EPM): January 26th, 27th and 28th Purchase Insurance To determine the Gross Margin Guarantee at contract sign-up we need: Expected monthly milk and feed prices Producer elected deductible Calculation of Expected Prices Monthly expected prices for Mar`09 - Dec`09 Expected Wisconsin All Milk price = Expected Class III prices + Wisconsin [All-Milk – Class III] Basis Expected Wisconsin Corn Grain price = Expected Corn prices + Wisconsin [Corn Price Received – Corn Futures] Basis Expected U.S. Soybean Meal prices (no local basis) Calculated from futures settle prices on January 26th – 28th Calculation of Expected Gross Revenue With the estimation of 10 expected Wisconsin All-Milk price values one can Calculate Expected Gross Revenue (EGR) at signup EGR is the product of expected All-Milk price times covered milk production Covered production could be less than allowable target as elected by the producer Different price and covered production each month Calculation of Expected Gross Revenue Month Expected WI All Milk Price ($/cwt) [1] Mar `09 12.00 4,213 50,556 Apr `09 12.17 4,113 50,055 May `09 12.45 4,340 54,033 Jun `09 13.22 4,188 55,365 Jul `09 14.22 4,240 60,293 Aug `09 15.18 4,188 63,574 Sep `09 15.84 4,023 63,724 Oct `09 16.27 4,075 66,300 Nov `09 16.58 4,038 66,950 Dec `09 16.52 4,063 67,121 41,481 597,972 Total Covered Expected Marketings Gross (cwt) Revenue ($) [2] [3] Note: [ 1] and [2] obtained from previous table [3] = [1] * [2] Calculation of Expected Feed Costs With calculation of expected feed prices for each month Multiply each months covered feed equivalents times the expected price to obtain expected feed costs Covered feed equivalents equal to total feed equivalents multiplied by % of production covered Unlike Class III contracts, corn/soybean meal futures contracts may not exist for every month of insurance contract Calculation of Expected Corn Price Month Expected WI Corn Futures Settle Prices ($/bu) Imputed Price Basis Corn Price Jan 26 Jan 27 Jan 28 Avg. $/bu) ($/bu) ($/bu) [1] [2] [3] [4] [5] [6] [7] Mar `09 3.9375 3.7750 3.8450 ----------Apr `09 ------ 3.85 3.85 -0.17 3.68 ------ 3.91 -0.11 3.80 May `09 4.0475 3.8850 3.9950 3.96 3.96 -0.12 3.84 ----------Jun `09 -----Jul `09 4.1525 3.9925 4.0625 ----------Aug `09 -----Sep `09 4.2575 4.0950 4.1650 ----------Oct `09 ---------------Nov `09 -----Dec `09 4.3900 4.2300 4.3000 ------ 4.02 -0.12 3.90 4.07 4.07 -0.12 3.95 ------ 4.12 -0.15 3.97 4.17 4.17 -0.11 4.06 ------ 4.22 -0.15 4.07 ------ 4.26 -0.18 4.08 4.31 4.31 -0.22 4.09 Note: [4] = ([1]+[2]+[3])/3, [5] = weighted average with weights based on months from contract expiration, [7] = [5]+[6] Calculation of Expected Corn Cost Expected WI Covered Expected Corn Price Corn Equiv. Corn Cost Month ($/bu) (tons) ($) [1] [2] [3] Mar `09 3.68 98.1 12,893 Apr `09 3.80 95.8 13,001 May `09 3.84 101.1 13,865 Jun `09 3.90 97.6 13,594 Jul `09 3.95 98.8 13,938 Aug `09 3.97 97.6 13,838 Sep `09 4.06 93.7 13,587 Oct `09 4.07 94.9 13,794 Nov `09 4.08 94.1 13,712 Dec `09 4.09 94.7 13,833 Total 966.4 136,056 Note: [ 1] and [2] obtained from previous tables, [3] = [1]*(2000/56)* [2] Calculation of Expected SBM Cost Month Mar `09 Apr `09 May `09 Jun `09 Jul `09 Aug `09 Sep `09 Oct `09 Nov `09 Dec `09 Imputed Price ($/Ton) [1] 312.13 311.85 311.57 311.94 312.30 309.43 300.43 285.70 284.70 283.70 Total SBM Equiv (Ton) [2] 21.7 21.1 22.3 21.5 21.8 21.5 20.7 20.9 20.8 20.9 213.2 Total Cost ($) [3] 6,773 6,580 6,948 6,707 6,808 6,653 6,219 5,971 5,922 5,929 64,510 Note: [1] and [2] obtained from previous tables, [3] = [1]* [2] Calculation of Gross Margin Guarantee Summary of information required for enrollment: Estimation of expected milk prices and feed costs Statement of insured marketings Monthly target marketings (TMi) Desired coverage % (Coveri) Statement of expected feed use Deductible ($ GMG/cwt): Given above, one can calculate Gross Margin Guarantee (GMG) = Expected total gross margin – deductible*covered milk marketings Calculation of Gross Margin Guarantee (GMG) Month Corn SBM Costs ($) Costs ($) [1] [2] Feed Costs ($) [3] Revenue ($) [4] Deductible ($) [5] GMG ($) [6] Mar `09 12,893 6,773 19,666 50,556 4,213 26,677 Apr `09 13,001 6,580 19,581 50,055 4,113 26,361 May `09 13,865 6,948 20,813 54,033 4,340 28,880 Jun `09 13,594 6,707 20,301 55,365 4,188 30,876 Jul `09 13,938 6,808 20,746 60,293 4,240 35,307 Aug `09 13,838 6,653 20,491 63,574 4,188 38,895 Sep `09 13,587 6,219 19,805 63,724 4,023 39,896 Oct `09 13,794 5,971 19,766 66,300 4,075 42,460 Nov `09 13,712 5,922 19,633 66,950 4,038 43,279 Dec `09 13,833 5,929 19,762 67,121 4,063 43,295 Total 136,056 64,510 200,566 597,972 41,481 355,925 Note: [3] = [1] + [2], [6] = [4] – [3] – [5], $1.00 GMG/cwt deductible assumed Calculation of Insurance Premiums There is No Producer Premium Subsidy RMA simulates 5,000 Class III, corn grain and SBM prices using data obtained from EPM period Correlated prices Options → Variance Futures → Means Generates 5,000 simulated total gross margins For each simulation, determine payout where Insurance Payout = Max(0, Total GMG – Simulated Total GMG) Premiums = Avg. of 5,000 Simulated Payouts + 3% Calculation of Insurance Premiums We have developed in-house premium software Official random draws: Aug. 08+ Simulate our own random draws: Jan. 00-July 08 On-Demand software system RMA website provides official premiums at sign-up For January 2009 example: Premiums decrease at a faster rate then GMG as deductibles increase Premium vs. Gross Revenue reduction depends on price volatility at sign-up expected gross margins Payout probability decreases with higher deductibles Insurance Premiums and Deductible Level (Jan. ′09 Example) Deductible GMG Rate ($/cwt) [1] Total ($) [2] Total ($) [3] 0 0 0.10 Premium %↓ [4] Total ($) [5] Per CWT ($) [6] %↓ [7] 397,406 ----- 34,629 0.835 ----- 4,148 393,258 -1.0 32,490 0.783 -6.2 0.30 12,444 384,962 -3.1 28,497 0.687 -17.7 0.50 20,741 376,665 -5.2 24,876 0.600 -28.2 0.70 29,037 368,369 -7.3 21,571 0.520 -37.7 0.90 37,333 360,073 -9.4 18,588 0.448 -46.3 1.10 41,481 351,777 -11.5 15,926 0.384 -54.0 1.30 53,925 343,481 -13.6 13,533 0.326 -60.9 1.50 62,222 335,184 -15.7 11,394 0.275 -67.1 Note: % ↓ measured from $0 Deductible level Relative GMG and Insurance Premiums (Jan. ′09 Example) GMG and Premium ($) Per CWT 10.00 0.90 9.50 0.80 0.70 0.60 8.50 0.50 8.00 7.50 GMG/cwt ($) 0.40 Premium/cwt ($) 0.30 7.00 0.20 0.0 0.2 0.4 0.6 0.8 1.0 Deductible ($/cwt) 1.2 1.4 Prem/cwt GMG /cwt 9.00 Effect of Deductible on Premium and GMG (Jan. ′09 Example) Deductible, Premium and GMG Changes 0 % Decrease from Base -10 -20 GMG Premium $0: $397,406 $34,629 $0.70: $368,369 $21,571 -30 -40 $1.50: $335,184 $11,394 -50 -60 % Change Prem/cwt -70 % Change GMG/cwt -80 0.1 0.3 0.5 0.7 0.9 1.1 Deductible ($/cwt) 1.3 1.5 Relative Premium Value and Deductible (Jan. ′09 Example) Premium as % of GMG 9.00 8.25 % of GMG 7.50 6.75 6.00 5.25 4.50 3.75 3.00 0.0 0.2 0.4 0.6 0.8 1.0 Deductible ($/cwt) 1.2 1.4 Simulated Probability of Positive Indemnities (Jan. ′09 Example) Effect of Deductible on Payout Probability 55.0 Payout probability ↓ with higher deductible as GMG decreases Probability of Payout 50.0 45.0 40.0 35.0 30.0 25.0 20.0 0.0 0.2 0.4 0.6 0.8 1.0 Deductible ($/cwt) 1.2 1.4 Determining Actual Indemnities Actual Prices Known → Calculate Actual Gross Margin (AGM) = Actual Revenue – Actual Feed Costs Actual Prices determined each month over contract life as futures contracts expire Similar to expected prices, actual prices are statewide averages not your farm price Uses settle prices on futures contracts 1,2, and 3 days prior to last trading day of a futures contract LGM-Dairy Actual Indemnity: Actual Indemnity = Max[0, Total GMG – Total AGM] Total Refers to Sum Over All Contract Months Determining Actual Class III and Feed Prices Actual Class III and feed prices Determined each month over insurance contract life Uses settle prices on futures contracts 1,2, and 3 days prior to last trading day of a particular futures contract Averaged over these three days A Cost Comparison of LGM-Dairy With Options-Based Revenue Management LGM-Dairy similar to a bundled option How do LGM-Dairy costs compare to the costs of setting a similar revenue floor via use of Class III puts and Corn/SBM calls? Difficult to compare given options lumpiness Assume options perfectly divisible Compare costs under alternative deductible levels Use data for January 2008 LGM-Dairy contract given availability of actual 10-month price data A Cost Comparison of LGM-Dairy With Options-Based Revenue Management Procedure for determining option premium costs Use expected prices observed on January 29th to determine nearby option To determine ending option value we use final settle price of futures contract For missing months, we use average of surrounding futures contract on last business day prior to the 15th of the missing month(s) A Cost Comparison of LGM-Dairy With Options-Based Revenue Management We can compare the net costs of the two programs Class III Put ($/cwt) Corn Call ($/bu) SBM Call ($/Ton) Month Put Actual Class III Put Value Corn Call Actual Corn Corn Call Value SBM Call Actual SBM SBM Call Value Mar `08 17.00 18.00 0 5.00 5.4550 0.4550 340 336.50 0 Apr `08 16.50 16.76 0 5.10 6.0025 0.9025 340 336.60 0 May `08 16.25 18.18 0 5.10 5.8975 0.7975 340 348.00 8.00 Jun `08 16.00 20.25 0 5.20 7.2460 2.0460 350 434.00 84.00 Jul `08 16.25 18.24 0 5.20 6.5700 1.3700 350 452.00 102.00 Aug `08 16.50 17.32 0 5.20 5.6820 0.4820 340 350.00 10.00 Sep `08 16.50 16.28 0.22 5.20 5.4740 0.2740 340 359.00 19.00 Oct `08 16.25 17.06 0 5.10 4.1125 0 330 254.50 0 Nov `08 16.25 15.51 0.74 5.10 3.8025 0 320 265.50 0 Dec `08 16.25 15.28 0.97 5.10 3.5950 0 320 258.50 0 A Cost Comparison of LGM-Dairy With Options-Based Revenue Management We can compare the net costs of the two programs Gross Cost Gross Cost/Cwt Net Cost Net Cost/Cwt $0 Deductible $63,216 $1.524 $28,461 $0.686 $0.80 Deductible $58,993 $1.422 $26,560 $0.640 $1.50 Deductible $55,301 $1.333 $24,898 $0.600 $0 Deductible $36,107 $0.870 $36,107 $0.870 $0.80 Deductible $21,147 $0.510 $21,147 $0.510 $1.50 Deductible $12,144 $0.293 $12,144 $0.293 Put/Call Options LGM-Dairy Note: Under the options based strategy we reduce the options costs by the % reduction in GMG observed under the LGM-Dairy scenarios. LGM-Dairy: Future Research/Extension Efforts LGM-Dairy a challenge for producers to understand given the big black box of how premiums calculated How can LGM-Dairy complement plant offered forward/minimum price contracts Portfolio of risk management strategies Software systems for on-demand premiums Still trying to understand dairy producer risk preferences Farm characteristics Producer characteristics