名词 发表于 2025-3-23 13:10:16
http://reply.papertrans.cn/59/5863/586245/586245_11.png逃避责任 发表于 2025-3-23 15:56:23
http://reply.papertrans.cn/59/5863/586245/586245_12.pngxanthelasma 发表于 2025-3-23 21:59:34
Peter Petersen equivalently, about the risk-neutral probability distribution and the risk-free rate. As shown in the previous chapter this knowledge would enable the pricing of any asset. The traditional approach to gain insights into the properties of the market pricing kernel is to start by choosing a functionaCardioplegia 发表于 2025-3-24 00:57:17
Peter Petersenunconditional moment of the market pricing kernel, covers the period 1968 to 1994 and proceeds in two steps. First, in section 7.1 the variance bounds are estimated employing different time series of asset returns. The sensitivity of the bounds with respect to changes in (1) the underlying set of asineluctable 发表于 2025-3-24 05:10:27
http://reply.papertrans.cn/59/5863/586245/586245_15.pngjarring 发表于 2025-3-24 06:55:12
Peter Petersen models. For this purpose the consumption-based equilibrium asset pricing approach is applied, which relates asset prices to aggregate consumption. Within this approach the market pricing kernel is derived from the optimal intertemporal consumption and investment choice of a representative agent. Alantiquated 发表于 2025-3-24 12:37:02
http://reply.papertrans.cn/59/5863/586245/586245_17.pngmanifestation 发表于 2025-3-24 18:36:59
ving behaviour based on the golden rule propensity to save s = s. is optimal. This would require a theory of optimal individual saving. Modern theory offers the competing approaches of Ramsey (1928) and Fisher (1930). We shall begin here with Ramsey’s approach. His distinctive assumption is that a c抚育 发表于 2025-3-24 19:14:29
http://reply.papertrans.cn/59/5863/586245/586245_19.pngHEW 发表于 2025-3-25 01:09:44
Basic Theory,imension theorem for linear maps that relate the dimension of the domain to the dimensions of kernel and image. We give an account of Gauss elimin Ation and how it ties in with the more abstract theory. This will be used to define and compute the characteristic polynomial in Chap. 2.