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来源类型Working Paper
规范类型报告
DOI10.3386/w12650
来源IDWorking Paper 12650
Long Term Risk: An Operator Approach
Lars Peter Hansen; Jose Scheinkman
发表日期2006-10-31
出版年2006
语种英语
摘要We create an analytical structure that reveals the long run risk-return relationship for nonlinear continuous time Markov environments. We do so by studying an eigenvalue problem associated with a positive eigenfunction for a conveniently chosen family of valuation operators. This family forms a semigroup whose members are indexed by the elapsed time between payoff and valuation dates. We represent the semigroup using a positive process with three components: an exponential term constructed from the eigenvalue, a martingale and a transient eigenfunction term. The eigenvalue encodes the risk adjustment, the martingale alters the probability measure to capture long run approximation, and the eigenfunction gives the long run dependence on the Markov state. We establish existence and uniqueness of the relevant eigenvalue and eigenfunction. By showing how changes in the stochastic growth components of cash flows induce changes in the corresponding eigenvalues and eigenfunctions, we reveal a long-run risk return tradeoff.
主题Financial Economics ; Portfolio Selection and Asset Pricing
URLhttps://www.nber.org/papers/w12650
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/570312
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GB/T 7714
Lars Peter Hansen,Jose Scheinkman. Long Term Risk: An Operator Approach. 2006.
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