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Insurance Lecture 24

Learn how insurance protects farmers against crop loss due to weather risks like drought, hail, and more. Explore the unique challenges in agriculture insurance and federal programs supporting farmers. Compare yield and revenue insurance options to mitigate risks and enhance farm income.

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Insurance Lecture 24

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  1. Insurance Lecture 24 • Lecture 24 Insurance.xlsx

  2. Principal of Insurance • Insurance is a risk management tool • Buy insurance to cover a specific risk of a loss to the business • Low yield due to fire, hail, drought, flood, etc. • Low prices • Low revenue due to low production of price • Health, auto, and home insurance most popular • Liability insurance • Insurance transfers a part of the risk to a third party

  3. Terms for an Insurance Policy • States the risk to protect against • Conditions for a loss • Amount of loss that must occur for a payment • States the premium to be paid • States indemnity payment conditions • Amount of the deductible (losses not paid) • Formula for calculating a payment

  4. Insurance Premiums • Premiums are set to cover the expected loss plus a risk premium and a profit for the insurance company • Premium = E(losses) + RP + Profit • Calculate the E(Losses) with simulation • Simulate the type of loss and use the losses in the formula for calculating the premium • Calculate the average loss over a given time period, usually a year • Profit is a set fraction by the company • RP covers risk not fully captured in PDF for risk

  5. Insurance for Agriculture • Crop Yield insurance • Low yields insured against hail, fire, insects, drought, flood • Revenue insurance • Protects crop farmers from low revenues relative to historical averages

  6. Agriculture Insurance Presents Unique Problems • Agricultural risks widespread due to weather affecting large regions when drought of occur • If an insurance company covered all the risk they would be wiped out • Solution was for the federal government to back up these companies • USDA-Risk Management Agency (RMA) write insurance policies and set premiums and terms • Private cos. sell these policies • Sell most policies to RMA, keep the lower risk policies as an investment

  7. US Drought: Current Conditions

  8. Texas is actually looking pretty good relative to 2011 … September 13, 2011 February 3, 2015 … but parts of Texas are still in an exceptional, multi-year drought …

  9. Brief History of Federal Crop Insurance • 1930’s USDA offered yield insurance in the Great Plains for wheat • Experimental project • Expanded to other crops gradually • 1971 Farm program offered Disaster Program • Paid farmers for low yield and prevented plantings • Replaced with FCIC insurance in 1983 • In ‘83 FCIC yield insurance expanded to all crops in all counties

  10. FCIC Yield Insurance (YP) • Production guarantee = APH * coverage level percentage elected • APH = 10 year yield history on the farm unit • Based on actual yields for the farm unit • Premium set by RMA based on announced price guarantee, APH, and coverage level percentage • Indemnity = Max[0, (Actual Yield – Production Guarantee) * Projected Price * Acreage Covered]

  11. FCIC Yield Insurance • 50 acres of corn, RMA projected price of $3.50/bu, APH yield 145 bu/acre, 85% coverage level • Production guarantee = 0.85 * 145 = 123.3 • If actual yield = 115 so lost yield is 123.3-115 • Indemnity = (123.3-115) * 2.25 * 50

  12. Revenue Insurance • Crop Revenue Coverage (CRC) • Producers buy a fraction of the historical revenue • 65% to 85% in 5% fractions • Insure with a projected price or the harvest price • Indemnity = Max[0, (Guaranteed Revenue – Actual Revenue) * Acres ] • Actual Revenue = actual yield * (RMA projected price OR harvest time price)

  13. Revenue Insurance • 50 acres of corn, RMA projected price of $3.50/bu, APH yield 145 bu/acre, 85% coverage level • Revenue guarantee = 50 * 145 * 0.85 * 3.50 • Actual yield = 100 • Indemnity = Max[0, (revenue guarantee – 50 * 100 * 3.50 or actual harvest time price)] • Electing the RMA projected price is referred to “Harvest Price Exclusion” and is cheaper

  14. Analyzing Insurance Options • Simple simulation problem • Simulate yield and price • Compare yield or revenue to alternative (insured) coverage levels, calculate indemnities and premiums • Pay premiums every year • Collect indemnities only when there is a loss • Pick insurance policy which is best at reducing risk and increasing net income, NPV, or cash flows

  15. RMA Insurance Policies • Insurance policies must be purchased prior to planting to reduce: • Moral hazard -- buying insurance when farmers know the crop will fail • xxx • General Policies and Provisions • Actual Revenue History (ARH) Pilot Endorsement (14-arh). • Area Risk Protection Insurance (14-ARPI) • Commodity Exchange Price Provisions (CEPP) • Catastrophic Risk Protection Footnote 5. • Ineligibility Amendment (15-Ineligibility) Footnote 1. • Farm Bill Amendment (15-ARPI-Farm-Bill) Footnote 6. • Catastrophic Risk Protection Endorsement (15-cat). Footnote 3. • Common Crop Insurance Policy, Basic Provisions (11-br) • Commodity Exchange Price Provisions (CEPP) • Contract Price Addendum (CPA) • Ineligibility Amendment (15-Ineligibility) Footnote 1. • Farm Bill Amendment (15-CCIP-Farm-Bill) Footnote 2. • Other Information • Supplemental Coverage Option (SCO-15) • High-Risk Alternate Coverage Endorsement (HR-ACE)(13-HR-ACE) • High-Risk Alternate Coverage Endorsement Standards Handbook • High-Risk Alternate Coverage Endorsement Frequently Asked Questions • Livestock • Quarantine Endorsement Pilot (11-qe). • Rainfall and Vegetation Indices Pilot • Whole-Farm Revenue Protection (WFRP) Pilot Policy

  16. Insurance and Farm Policy • 2014 Farm Bill is relying more on insurance and less on direct or indirect subsidies • Agricultural Risk Coverage (ARC) • Supplemental Crop Optionm(SCO)

  17. Agriculture Risk Coverage (ARC-CO) • Payments when actual revenue for the covered commodity < ARC revenue guarantee, where: • Actual County Revenue = Actual county yield per planted acre * Max of {National Marketing Year Price or Marketing Loan Rate} • ARC Revenue Benchmark = (5 Year U.S. Olympic average marketing year price) * (5 Year Olympic average county) • If any of the 5 years of prices are lower than Reference Price then replace with the Reference Price. • If the actual county yield is < 70% of T-yield replace with the T-yield. • ARC Revenue Guarantee = 0.86 * ARC Revenue Benchmark • ARC Payment = Minimum of [(ARC Revenue Guarantee – Actual County Revenue) OR 10% of the ARC Revenue Benchmark] * Base Acres * 0.85 • No yield risk in year one’s calculation but that does not last • Olympic average starts with 2009-2013, but then moves to 2010-2014, 2011-2015, 2012-2016, 2013-2017 with more and more risky yields in the Olympic Average each year of the farm program

  18. Illustration of Government Support for Grains Under ARC-County Revenue per cwt or bu Revenue Benchmark 86% of Revenue Guarantee 86% 76% [paid on base acres x .65 (individual) or .85 (county)] Loan Rate MLG Market Price Market Receipts Crop insurance coverage

  19. Supplemental Coverage Option (SCO) • Gap insurance: payments for losses from 86% of APH or CRC coverage level down to the underlying insurance coverage level

  20. Illustration of Government Support for Rice Under SCO Revenue per cwt 86% of Revenue Guarantee Supplemental Coverage Option Crop insurance coverage

  21. Insurance Job Opportunities • Sales representative for the large companies • Insurance actuary • Adjusters • Seasonal employment that pays well • Work during growing season only • Visit damaged fields and prepare estimates of the damages • Experience with crop production and economics • Insurance companies complain there never enough adjusters

  22. Insurance Use in Texas for Cotton

  23. Insurance Use in Texas for Corn

  24. Simulating a Learning Curve to Represent theDemand Cycle • A new business may need a few months or years to grow sales to their potential • May take months or years to learn how to reach potential for a prod function • In either case, assume a stochastic growth function and simulate it, if nothing else is available, use a Uniform distribution • Example of a growth function for 8 years

  25. Learning Curve or Demand Cycle

  26. Life Cycle Costing • A new concept in project feasibility analysis • Explicitly consider externalities • Such as cleanup costs at end of business • Strip mining reclamation • Removal of underground fuel tanks • Removal of above ground assets • Restoration of site • Prevention of future environmental hazards • Removal of waste materials • 100 year liners for ponds

  27. Life Cycle Costing • Steps to Life Cycle Costing Analysis • Identify the potential externalities • Determine costs of these externalities • Assign probabilities to the chance of experiencing each potential cost • Assume distributions with GRKS or Bernoulli • Simulate costs given the probabilities • Incorporate costs of cleanup and prevention into the project feasibility • These terminal costs may have big Black Swans so prepare the investor

  28. Life Cycle Costing • Bottom line is that LCC will increase the costs of a project and reduce its feasibility • Affects the downside risk on returns • Does nothing to increase the positive returns • Need to consider the FULL costs of a proposed project to make the correct decision • J. Emblemsvag – Life Cycle-Costing: Using Activity-Based Costing and Monte Carlo Simulation to manage Future Costs and RisksJohn Wiley & Sons Inc. 2003

  29. Life Cycle Analysis • LCA is a tool for determining the impact of a new process or project on the environment and climate change • LCAs are concerned with quantifying • Energy Use and CO2 Balance • Green House Gases (GHGs) • Water use and indirect Land use • Nutrient (N,P,K) use and other factors • Thus far these are deterministic analyses – This will soon change

  30. Life Cycle Analysis • For those interested in a good example of LCA see MS thesis in our Department by Chris Rutland Analyzed the carbon footprint for crop and dairy farms in principal production regions in the US

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