Risk Management for Pork Producers: Futures Buy and Sell Signals

Similar documents
Risk Management for Cattle Feedlots: Futures Buy and Sell Signals

Risk Management for Cattle Feedlots: Futures Buy and Sell Signals

Managing Hog Price Risk: Futures, Options, and Packer Contracts

Answer each of the following questions by circling True or False (2 points each).

ECON 337 Agricultural Marketing Spring Exam I. Answer each of the following questions by circling True or False (2 point each).

Futures and Options Live Cattle Feeder Cattle. Tim Petry Livestock Marketing Economist NDSU Extension

Futures and Options Live Cattle Feeder Cattle. Tim Petry Livestock Marketing Economist NDSU Extension Service

Marketing on Margin NPB Swine Educators Inservice. Mark Storlie ISU Swine Field Specialist or

Tim Petry Livestock Economist Agribusiness and Applied Economics.

Business & Financial Services December 2017

Financial & Business Highlights For the Year Ended June 30, 2017

Department of Agricultural and Resource Economics

Using Basis Information in a Hog Marketing Program

XML Publisher Balance Sheet Vision Operations (USA) Feb-02

2013 Risk and Profit Conference Breakout Session Presenters. 4. Basics of Futures and Options: Part 1

Review of Registered Charites Compliance Rates with Annual Reporting Requirements 2016

Four Types of Price Variation: Applications for Marketing and Risk Management

Pricing Considerations Cattle Pricing and Risk Management

Spheria Australian Smaller Companies Fund

Illinois Job Index Note: BLS revised its estimates for the number of jobs and seasonal adjustment method at the beginning of 2010.

Risk Management in Today s Cattle Business. J & F Oklahoma Holdings, Inc.

Hedging Cull Sows Using the Lean Hog Futures Market Annual income

WESTWOOD LUTHERAN CHURCH Summary Financial Statement YEAR TO DATE - February 28, Over(Under) Budget WECC Fund Actual Budget

Recent Developments in South Dakota's Hog Market

USING RISK MANAGEMENT TOOLS: A LIVESTOCK APPLICATION

TERMS OF REFERENCE FOR THE INVESTMENT COMMITTEE

Regional overview Gisborne

Common stock prices 1. New York Stock Exchange indexes (Dec. 31,1965=50)2. Transportation. Utility 3. Finance

Egg Entrepreneurship Records

Livestock Risk Protection (LRP)

Regional overview Hawke's Bay

Executive Summary. July 17, 2015

Fall 2017 Crop Outlook Webinar

ACE 427 Spring Lecture 6. by Professor Scott H. Irwin

Historical Pricing PJM COMED, Around the Clock. Cal '15 Cal '16 Cal '17 Cal '18 Cal '19 Cal '20 Cal '21 Cal '22

Algo Trading System RTM

HIPIOWA - IOWA COMPREHENSIVE HEALTH ASSOCIATION Unaudited Balance Sheet As of July 31

HIPIOWA - IOWA COMPREHENSIVE HEALTH ASSOCIATION Unaudited Balance Sheet As of January 31

Agriculture & Natural Resources

Using the Futures Market in Response to Low Market Prices By Gary Schnitkey

OTHER DEPOSITS FINANCIAL INSTITUTIONS DEPOSIT BARKAT SAVING ACCOUNT

DALLAS COUNTY DISTRICT COURT ADMINISTRATION

Historical Pricing PJM PSEG, Around the Clock. Cal '15 Cal '16 Cal '17 Cal '18 Cal '19 Cal '20 Cal '21 Cal '22

FERC EL Settlement Agreement

Using projections to manage your programs

Big Walnut Local School District

Key IRS Interest Rates After PPA

Regional overview Auckland

Monthly Labour Force Survey Statistics December 2018

Monthly Labour Force Survey Statistics November 2018

Use of the Risk Driver Method in Monte Carlo Simulation of a Project Schedule

Analyze the Market for a Seasonal Bias. It is recommended never to buck the seasonal nature of a market. What is a Seasonal Trend?

MARGIN M ANAGER The Leading Resource for Margin Management Education

SmallBizU WORKSHEET 1: REQUIRED START-UP FUNDS. Online elearning Classroom. Item Required Amount ($) Fixed Assets. 1 -Buildings $ 2 -Land $

Introduction to Futures & Options Markets for Livestock

PERSONAL TAX INFORMATION WORKSHEET

ACA Reporting E-File Errors, Penalties & Exchange Notices

Illinois Job Index. Growth Rate %

Division of Bond Finance Interest Rate Calculations. Revenue Estimating Conference Interest Rates Used for Appropriations, including PECO Bond Rates

200 Years Of The U.S. Stock Market

Cost Estimation of a Manufacturing Company

General BI Subjects. The Adjustments Clause

More information on other ways of forward contracting hogs is available in the module Hog Market Contracting.

When Dashboards are Stupid Presented by John Alber and Chris Emerson #ORG4

Improving Your Crop Marketing Skills: Basis, Cost of Ownership, and Market Carry

FDD FIRM STORAGE SERVICE NORTHERN NATURAL GAS COMPANY

1.2 The purpose of the Finance Committee is to assist the Board in fulfilling its oversight responsibilities related to:

Managed Futures: A Real Alternative

Key IRS Interest Rates After PPA

Business Cycle Index July 2010

SHARETHIS FINANCE STUDY

Revenue Estimating Conference Tobacco Tax and Surcharge Executive Summary

PHOENIX ENERGY MARKETING CONSULTANTS INC. HISTORICAL NATURAL GAS & CRUDE OIL PRICES UPDATED TO July, 2018

2016 Spring Conference And Training Seminar. Cash Planning and Forecasting

Status of the Unemployment Trust Fund and Related Issues. Commission on Unemployment Compensation. Ellen Marie Hess, Commissioner.

Constructing a Cash Flow Forecast

Indicators of the Kansas Economy

What About p-charts?

Factor Leave Accruals. Accruing Vacation and Sick Leave

Department of Public Welfare (DPW)

Technical Analysis: Alternatives To Chart Analysis

MONTHLY MILK & FEED MARKET UPDATE

Risk Management Programs for Forage and Livestock Producers. Dr. Curt Lacy Extension Economist-Livestock University of Georgia

HUD NSP-1 Reporting Apr 2010 Grantee Report - New Mexico State Program

The introduction of new methods for price observations in the Consumer Price Index (CPI) New methods for airline tickets and package holidays

ADVANCE COMMENTARY NUMBER 930-A. December Labor, Private Surveying and M3, November Trade Deficit and Construction Spending January 5, 2018

Market Reactivity. Automated Trade Signals. Stocks & Commodities V. 28:8 (32-37): Market Reactivity by Al Gietzen

Table of Contents. Introduction

Performance Report October 2018

High Dividend Stocks In Rising Interest Rate Environments

Phase III Statewide Evaluation Team. Addendum to Act 129 Home Energy Report Persistence Study

Income inequality and mobility in Australia over the last decade

Leading Economic Indicator Nebraska

ASX Commodities: Grains

MEDICAID FEDERAL SHARE OF MATCHING FUNDS

1. (35 points) Assume a farmer derives utility from Income in the following manner

Security Analysis: Performance

Figure 1: Change in LEI-N August 2018

LOAN MARKET DATA AND ANALYTICS BY THOMSON REUTERS LPC

Notes on a California Perspective of the Dairy Margin Protection Program (DMPP)

Transcription:

Risk Management for Pork Producers: Futures Buy and Sell Signals John Lawrence and Alan Vontalge 1 Extension Livestock Economists, Iowa State University In recent years, the hog market has redefined the parameters of risk and the need for risk management. Lean (or Live) Hog futures is a tool for managing price risk that has been available since the late 1960s, but has seldom been used by producers. Producers often charge that this tool is too complicated to use, and they list margin calls and lack of profit potential as faults of this tool. Because futures markets are very efficient, it is impractical to believe that there is a simple, but profitable strategy that will work every time. However, there are strategies that can narrow the wide array of marketing choices into a more manageable set of choice to evaluate. In a separate paper, Managing Hog Price Risk: Futures, Options, and Packer Contracts, alternative marketing tools for pork producers are evaluated over a 12-year period. The evaluation incorporates cost of production, profit goals, seasonal patterns, and simple price forecasts into the selection of various futures and options strategies to determine how and when to use these tools to accomplish one s objectives. The analysis in that paper assumed that the producer made one decision at the start of the production period, i.e., when the pigs go into the finisher, and he/she held that market position until the hogs were sold four months later. This simplified analysis allowed alternative strategies to be compared fairly. In reality, a producer can make marketing decisions any day that the market is open. The decision then becomes one of market timing when to buy or sell a futures contract to reduce price risk or increase the net price received. This paper will evaluate alternative market timing decision rules; more specifically, moving average (MA) strategies, to determine when to enter or exit the futures market. Following a brief description of moving average procedures is a comparison of 42 different MA combinations over 10 years of data and two time horizons. Market timing signals As mentioned earlier, the futures market very quickly adjusts to information. It is nearly impossible for a trading strategy to remain successful for very long. Traders begin to use the information to make buy and sell decisions; as more people use the information, the results become more diluted. Market 1 Special thanks to Undergraduate Research Assistants, Wyatt Peterson and Sam Behrens, for their tireless efforts on this project.

timing and technical trading rules are no different. These trading decisions are often simple enough to be programmed into a computer and are automatically exercised if the trading rule is triggered. While technical trading rules like MA may not be able to beat the market consistently, they do indicate market trends and a directional change in the trends. A moving average is a simple average of closing futures prices over a given period of time, i.e., 5 days. A new MA can be calculated by removing the oldest price and adding the newest price to the average. Moving average trading rules involve a short-term MA (e.g., 5 days) and a long-term MA (e.g., 20 days). The MA numbers can be plotted on a graph (Figure 1). The short-term MA will change direction more quickly than the long-term MA. Yet, the short-term MA still averages several days together to remove the day-to-day market noise. A change in market direction is signaled when the short-term crosses the long-term MA. For example, if the short-term MA crosses the long-term from below it signals an upturn in the price trend. If the short-term MA crosses from above it signals a downturn in the trend. Figure 1. December 2000 Hog Futures and Moving Averages $62 $60 $58 $56 $54 $52 $50 $48 2/9/00 3/8/00 4/5/00 5/3/00 5/31/00 6/28/00 7/26/00 8/23/00 9/20/00 10/18/00 Daily Close 5-Day Avg 20-Day Avg The combination of short-term and long-term MAs acts as a filter for market signals and determines how quickly one reacts to those signals. The trade-off is that the fewer the days included in the MA, the more often the market will trigger a trade, and the more often a commission is paid. The more days included in the MA, the fewer the number of trades will be signaled. There will be fewer

trades, but there may also be missed opportunities. Which combination of short-term and long-term MAs is most profitable and least risky? That is the focus of this analysis and report. Procedures Daily futures prices for the Live Hog and Lean Hog futures contracts were examined using data from 1988-1998. All seven contract months were used and evaluated for a producer who was selling hogs on or near the 15th of each month after they had been on feed either six months (birth to market) or ten months (breeding to market). Cost of production for the producer was assumed to be equal to that shown by the Iowa State University Extension Estimated Livestock Returns for the appropriate marketing month. A total of 42 different short-term long-term combinations were considered in the analysis for a short hedger. Table 1 summarizes the results; the full results can be found at www.econ.iastate.edu/faculty/lawrence/. Results from alternative moving average futures strategies Table 1 ranks the strategies by hedging returns (combined cash and futures) and lists the five most profitable MA combinations by selling month for the time period evaluated, and shows the average return ($/cwt) for a hedger following the strategy. It also lists a risk ranking for each strategy. The 25th percentile cutoff is the measure of risk used and is defined as the 10-year average return at the 25th percentile. That is, 25 percent of the time, returns were less than this number; 75 percent of the time, returns were greater than this number. Producers can thus decide if they can risk a 1 in 4 chance of a lower return. The risk ranking lists the 25th percentile value for each strategy from highest to lowest. A higher 25th percentile value has a higher and more preferred risk ranking. Although somewhat arbitrary, Table 1 lists the five most profitable strategies and their risk ranking out of the 42 combinations. A good strategy is one that has a high average return and low risk (a 1 or 2 on both scales). For example, with February marketings over a 10-month hedging period, the #1 ranked average return was also ranked #1 on risk, the 3-30 day combination. However, the #2 strategy in returns was #36 on risk, suggesting that the chance of loss was relatively high compared with other strategies. Note that no single strategy is the best in every month; some work better than others in certain months. Also, there is very little difference in the average returns of the top five strategies in some cases.

How to read the table Selling Date Month in which you will be selling your hogs. Average Hedge Ranking Ranks the average return from hedging over ten years. A #1 ranking means that that strategy returned the highest average hedge return over ten years out of 42 strategies. Strategy The combination of short-term and long-term moving average ranked in the top five according to average net hedge. Average Net Hedge Gives the average hedging return ($/cwt live weight) dollar amount that was gained or lost if you had used that strategy over ten years. Risk Ranking Returns the ranking according to 25th percentile. That is, returns were less than this number 25 percent of the time, and greater than this number 75 percent of the time. A ranking of #1 means that, out of 42 strategies, that strategy was the least risky. 25th Percentile Gives the return that resulted 25% of the time. In other words, 75% of the time you will receive a higher return than the number listed. How to use this table 1. Determine if hedging with futures is appropriate for the operation and the time period considered. The report Managing Hog Price Risk: Futures, Options, and Packer Contracts compares futures contracts to alternative options strategies and packer contracts, by costs, profit objectives, and selling month. 2. Locate the month in the selling date column in which you will be selling your hogs. 3. Consider either a 6-month or a 10-month time frame. The 6-month hedges begin when the pigs are born. The 10-month hedges begin when the sows are bred. 4. Locate the results. For example, if you plan on selling your hogs in March on a 6-month contract, you have a couple of options. The 12-50 day strategy ranks first in average hedge return, but second in risk. The 12-48 strategy ranks second in average hedge return, but first in risk.

Live Hog Futures Results From Alternative Hedging Strategies For Years 1989-1998. 6-Month Hedges 10-Month Hedges Selling Hedge Avg. Net Risk 25th Hedge Avg. Net Risk 25th Date Ranking Strategy Hedge Ranking* Percentile Ranking Strategy Hedge Ranking* Percentile February Contracts Jan. 15 1 9-18 day -1.50 5-3.43 1 15-50 day -1.08 1-2.86 2 15-24 day -1.51 10-4.46 2 15-48 day -1.19 3-3.37 3 15-48 day -1.52 13-4.54 3 15-24 day -1.29 7-4.17 4 12-24 day -1.56 12-4.53 4 9-24 day -1.42 4-3.53 5 15-27 day -1.58 31-5.53 5 12-27 day -1.56 2-3.29 Cash only -0.64-7.71 Feb. 15 1 5-15 day 1.61 20-1.99 1 3-30 day 4.63 1 1.66 2 15-48 day 1.41 2-0.74 2 3-18 day 2.98 36-2.41 3 15-50 day 1.31 4-0.87 3 3-24 day 2.98 35-2.33 4 9-24 day 1.14 23-2.19 4 15-50 day 2.04 4 0.56 5 18-50 day 0.95 17-1.90 5 15-48 day 1.85 6 0.25 Cash only 1.52-4.65 April Contracts Mar. 15 1 12-50 day 1.04 2-2.09 1 12-50 day 1.42 3-1.84 2 12-48 day 0.86 1-1.98 2 15-50 day 0.98 5-2.70 3 15-50 day -0.22 11-4.01 3 12-48 day 0.95 2-1.84 4 9-42 day -0.24 3-2.24 4 18-50 day 0.94 9-3.65 5 18-48 day -0.30 8-3.85 5 15-48 day 0.81 6-2.72 Cash only 0.65-7.21 Apr. 15 1 18-50 day 0.10 12-5.51 1 18-50 day 1.18 2-2.33 2 12-48 day 0.01 2-4.21 2 12-50 day 0.81 1-1.81 3 12-50 day -0.02 5-4.42 3 15-48 day 0.35 10-3.49 4 15-48 day -0.44 21-5.76 4 12-48 day 0.35 13-3.57 5 18-48 day -0.75 8-5.30 5 18-48 day 0.24 5-2.65 Cash only 1.25-11.23 June Contracts May 15 1 15-42 day 5.22 1 6.41 1 15-50 day 4.58 3 0.81 2 12-42 day 5.07 9 4.97 2 9-18 day 4.57 23-1.46 3 9-18 day 5.03 2 5.54 3 12-50 day 4.50 4 0.64 4 15-50 day 4.92 8 5.08 4 15-48 day 4.30 5 0.56 5 12-50 day 4.85 6 5.21 5 12-48 day 4.29 10 0.16 Cash only 11.67-4.58 Jun. 15 1 9-21 day 6.15 6 8.55 1 9-21 day 4.47 12 1.69 2 9-24 day 6.11 10 8.43 2 9-18 day 4.45 15 1.56 3 9-27 day 5.76 9 8.45 3 15-50 day 4.41 2 2.97 4 9-18 day 5.72 27 7.54 4 3-30 day 4.35 29-0.34 5 3-30 day 5.71 23 7.65 5 3-24 day 4.31 30-0.60 Cash only 13.78 0.81

Live Hog Futures Results From Alternative Hedging Strategies For Years 1989-1998. 6-Month Hedges 10-Month Hedges Selling Hedge Avg. Net Risk 25th Hedge Avg. Net Risk 25th Date Ranking Strategy Hedge Ranking* Percentile Ranking Strategy Hedge Ranking* Percentile July Contract Jul. 15 1 15-30 day 5.77 4 3.03 1 9-42 day 4.49 2 2.46 2 5-21 day 5.74 16 2.10 2 5-21 day 4.38 26 0.15 3 18-50 day 5.71 26 1.64 3 12-48 day 4.35 28 0.14 4 12-48 day 5.66 25 1.73 4 15-50 day 4.31 7 1.64 5 18-48 day 5.65 33 1.07 5 5-18 day 4.30 36-0.38 Cash only 13.87 3.78 August Contract Aug. 15 1 12-24 day 3.94 5 1.91 1 12-24 day 2.30 6-0.07 2 12-50 day 3.36 22-0.04 2 12-48 day 2.17 11-0.86 3 9-30 day 3.32 11 0.70 3 12-50 day 2.04 13-1.31 4 12-30 day 3.24 2 2.21 4 12-30 day 1.98 3 0.35 5 12-48 day 3.24 15 0.25 5 5-21 day 1.80 12-0.88 Cash only 10.87 1.15 October Contracts Sep. 15 1 9-30 day 3.19 7-1.23 1 18-50 day 7.32 1 1.06 2 9-36 day 3.18 4-1.01 2 9-30 day 6.89 13-0.50 3 9-42 day 3.08 3-0.99 3 9-42 day 6.87 24-1.43 4 12-36 day 2.95 2-0.88 4 12-36 day 6.78 6 0.23 5 18-50 day 2.73 32-3.87 5 15-50 day 6.78 8 0.02 Cash only 3.69-1.94 Oct. 15 1 9-30 day 2.70 3-0.38 1 3-21 day 1.43 11-2.10 2 9-36 day 2.45 12-1.05 2 9-36 day 1.36 12-2.19 3 9-42 day 2.23 13-1.22 3 3-18 day 1.24 9-1.95 4 5-12 day 2.20 21-1.60 4 3-24 day 1.06 4-1.49 5 3-21 day 2.08 16-1.39 5 12-24 day 1.00 3-1.36 Cash only 1.35 0.85 December Contracts Nov. 15 1 12-27 day 0.28 6-4.24 1 12-27 day 0.24 2-2.43 2 12-24 day -0.09 9-4.38 2 12-24 day -0.26 8-3.11 3 12-30 day -0.41 4-4.02 3 9-18 day -0.65 16-3.65 4 12-36 day -0.43 3-3.85 4 12-30 day -0.80 7-2.90 5 5-12 day -0.99 1-3.52 5 9-21 day -0.92 15-3.57 Cash only -7.96-11.30 Dec. 15 1 12-27 day -0.90 1 0.47 1 12-27 day -1.17 1-0.98 2 12-42 day -1.32 6-0.72 2 12-24 day -1.58 2-1.89 3 12-36 day -1.45 7-1.01 3 12-30 day -1.85 3-2.50 4 12-30 day -1.53 2 0.03 4 15-30 day -2.58 5-3.10 5 12-24 day -1.54 3-0.30 5 3-9 day -2.60 25-5.57 Cash only -7.38-13.36 * 42 different moving average day combination