An extension of a logarithmic form of Cramer's ruin theorem to some FARIMA and related processes

作者：Barbe Ph; McCormick W P^*

来源：Stochastic Processes and Their Applications, 2010, 120(6): 801-828.

DOI：10.1016/j.spa.2010.02.001

• Maximum of random walk
• Cramer's theorem
• Fractional ARIMA process
• Ruin probability
• Large deviations

Cramer's theorem provides an estimate for the tail probability of the maximum of a random walk with negative drift and increments having a moment generating function finite in a neighborhood of the origin. The class of (g, F)-processes generalizes in a natural way random walks and fractional ARIMA models used in time series analysis. For those (g, F)-processes with negative drift, we obtain a logarithmic estimate of the tail probability of their maximum, under conditions comparable to Cramer's. Furthermore, we exhibit the most likely paths as well as the most likely behavior of the innovations leading to a large maximum.

• 出版日期2010-6