1982
DOI: 10.2307/3146075
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Investment in Forest Land: Aspects of Risk and Diversification

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Cited by 46 publications
(16 citation statements)
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“…Economic risk is often expressed as standard deviation or variance of expected returns/net present values Knoke and Hahn 2007), but an important methodological deficiency of that approach is that positive variation is also included, while resulting damage is only a negative variation. Mills and Hoover (1982) first addressed this problem. Deegen et al (1997) use the ''my-sigma-rule'' for economic modeling of the choice of tree species under uncertain temperature trends.…”
Section: Classical Faustmann Approachmentioning
confidence: 98%
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“…Economic risk is often expressed as standard deviation or variance of expected returns/net present values Knoke and Hahn 2007), but an important methodological deficiency of that approach is that positive variation is also included, while resulting damage is only a negative variation. Mills and Hoover (1982) first addressed this problem. Deegen et al (1997) use the ''my-sigma-rule'' for economic modeling of the choice of tree species under uncertain temperature trends.…”
Section: Classical Faustmann Approachmentioning
confidence: 98%
“…Attitude toward risk-time preference A general approach to extend economic models with the notion of risk is the introduction of the attitude toward risk, namely risk adversity into economic calculations (Mills and Hoover 1982;Dieter et al 2001). Knoke et al (2008: 97) show a formal way how to calculate the economic value of different forests for risk aversion.…”
Section: Monte Carlo Simulation: Portfolio Theorymentioning
confidence: 99%
“…Standing timber reduces the overall portfolio risks of well-diversified portfolios (high initial non-forest wealth) in the same way as forest land does in aggregate level studies (e.g. Mills and Hoover, 1982;Thomson, 1991;Caulfield, 1998;Lausti and Penttinen, 2006).…”
Section: Discussionmentioning
confidence: 97%
“…For example, the optimal allocation of assets tends to be sensitive to the period of historical data used to compute the returns series (e.g. Mills and Hoover, 1982), optimisation technique (Thomson and Baumgartner, 1988), and the degree of relative risk aversion (Tahvonen and Kallio, 2006;Kijima and Ohnishi, 1993). Changes in input parameters notably affect the optimisation results, and hence proper sensitivity analysis is needed in any practical application (cf.…”
Section: Discussionmentioning
confidence: 99%
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