# 新西兰论文不会写怎么办：远期溢价之谜的可能解释

Kellard et al.(1990)最终提供了证据，证明拼图相关的经济和统计解释需要合作。CAPM的使用为合理化预期提供了一个框架，它描述了真实的风险溢价更长的记忆以及即期汇率条件方差，为远期溢价谜题中时间序列的类似行为提供了解释(Chinn et al.， 2004)。而正向溢价诱导的长记忆导致长尾自然分布，有助于产生负向的“贝塔k”主要系数。

This puzzle has been the key essential puzzle within the macroeconomics internationally. After 2 decades, there still is no particular solution of accepted nature.

As a matter of fact, it has been questioned by Maynard (1988), on whether the differenced rates of spot statistical properties as well as the forward premium are the only contributor’s towards biasness. They employed 3 methods for estimation aiming at circumventing the relevant problems of econometrics (Chiang, 1988). These included test based on covariance, the test for exact finite sample signs and a test for optimal conditioning. It was seen that even though some bias are decreased, but still “beta k” is shorter of unity based theoretical value (Maynard, 2003). Following a source of bias based mixed evidence; Maynard (2000) concluded that methods of statistical nature individually have no unlikeliness of resolving the puzzle.

Kellard et al. (1990), finally provided evidence that puzzle related economic and statistics explanation needs to be collaborated. Applying a framework for rationalized expectations, it is seen that CAPM consumption depicts that true risk premium longer memory along with the spot rate conditional variance provide explanation to analogous behaviour of time series within the puzzle of forward premium (Chinn et al., 2004). Then the forward premium induced long memory results in distributions of long tail nature helping in production of major coefficients of” beta k” with negativity.