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Risk Management for Swedish Farmers - An empirical study on hedge ratios for Swedish wheat

Andersson, Pierre LU (2016) NEKN01 20161
Department of Economics
Abstract
The paper investigates data on purchasing price of wheat from Swedish grain buyer Lantmännen and MATIF future contracts on milling wheat in an attempt to replicate the conditions for a Swedish farmer trying to manage his risk on wheat by trading future contracts on the MATIF exchange. Two static linear regressions and four dynamic GARCH models are employed on a sample of 1679 daily returns and 339 weekly returns ranging from 2009-07-01
to 2016-01-11. All regressions are ran on both daily returns and weekly returns to investigate how the rebalancing frequency changes the outcome of the hedges. The correlation of spot and future price changes from 0.19 for daily returns to 0.49 for weekly returns and all weekly return
hedges outperforms... (More)
The paper investigates data on purchasing price of wheat from Swedish grain buyer Lantmännen and MATIF future contracts on milling wheat in an attempt to replicate the conditions for a Swedish farmer trying to manage his risk on wheat by trading future contracts on the MATIF exchange. Two static linear regressions and four dynamic GARCH models are employed on a sample of 1679 daily returns and 339 weekly returns ranging from 2009-07-01
to 2016-01-11. All regressions are ran on both daily returns and weekly returns to investigate how the rebalancing frequency changes the outcome of the hedges. The correlation of spot and future price changes from 0.19 for daily returns to 0.49 for weekly returns and all weekly return
hedges outperforms the daily hedges in variance reduction. It is however hard to find a general best model over both daily and weekly returns and for all samples. The simple OLS performs best in the daily sample with -3.19% in variance over the full sample compared to a no-hedge and in the weekly return the VECM-VECH reduces variance by -29% over the full sample compared to a no-hedge. (Less)
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author
Andersson, Pierre LU
supervisor
organization
course
NEKN01 20161
year
type
H1 - Master's Degree (One Year)
subject
keywords
Dynamic hedge ratio, Wheat futures, GARCH, BEKK, VECH
language
English
id
8871772
date added to LUP
2016-04-29 09:04:56
date last changed
2016-04-29 09:04:56
@misc{8871772,
  abstract     = {The paper investigates data on purchasing price of wheat from Swedish grain buyer Lantmännen and MATIF future contracts on milling wheat in an attempt to replicate the conditions for a Swedish farmer trying to manage his risk on wheat by trading future contracts on the MATIF exchange. Two static linear regressions and four dynamic GARCH models are employed on a sample of 1679 daily returns and 339 weekly returns ranging from 2009-07-01
to 2016-01-11. All regressions are ran on both daily returns and weekly returns to investigate how the rebalancing frequency changes the outcome of the hedges. The correlation of spot and future price changes from 0.19 for daily returns to 0.49 for weekly returns and all weekly return
hedges outperforms the daily hedges in variance reduction. It is however hard to find a general best model over both daily and weekly returns and for all samples. The simple OLS performs best in the daily sample with -3.19% in variance over the full sample compared to a no-hedge and in the weekly return the VECM-VECH reduces variance by -29% over the full sample compared to a no-hedge.},
  author       = {Andersson, Pierre},
  keyword      = {Dynamic hedge ratio,Wheat futures,GARCH,BEKK,VECH},
  language     = {eng},
  note         = {Student Paper},
  title        = {Risk Management for Swedish Farmers - An empirical study on hedge ratios for Swedish wheat},
  year         = {2016},
}