Title page for ETD etd-12162009-112641


Type of Document Master's Thesis
Author Clark, Benjamin Michael
Author's Email Address bclark1@tigers.lsu.edu
URN etd-12162009-112641
Title The Returns and Volatility of Agribusiness Stocks:How Do They Measure Up to Non-Agribusiness Stocks?
Degree Master of Science (M.S.)
Department Agricultural Economics & Agribusiness
Advisory Committee
Advisor Name Title
Detre, Joshua D. Committee Chair
Kennedy, Phillip L. Committee Member
Zapata, Hector O. Committee Member
Keywords
  • investing in agribusiness
  • stock price index
  • US agribusiness
  • risk and return measures
Date of Defense 2009-11-23
Availability unrestricted
Abstract
Little literature exists that analyzes the historical risk and return associated with investing in the US agricultural sector. However, several observable trends have recently made investing in the US agricultural sector an area of interest among investors. Stock price indexes are a commonly used tool for summarizing the historical performance of a specific sector. A market-capitalization weighted stock price index is created to represent the largest US agribusiness firms since 1970, using the US Census Standard Industrial Classification system and the Economic Research Service’s definition of agribusiness. Geometric returns, standard deviation, Sharpe Ratio, and beta values are calculated for one, five, and ten-year holding periods. These performance measures are compared to that of the market as a whole using the Standard & Poor’s 500 and Dow Jones Industrial Average indexes as proxies.

The results indicate that the historical returns associated with investing in the US agricultural sector were less than what could be expected by investing in a market index, however, the most recent data periods show the sector outperforming the market. Ex post, standard deviation measures indicate that the sector is less susceptible to price variability, while Sharpe Ratio measures show that it has enjoyed higher excess returns per unit of risk in recent years. The calculated beta values indicate that price movements in the sector, as summarized by the AG Index, lag behind general market movements.

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