作者：Li, Jia; Phillips, Peter C. B.; Shi, Shuping; Yu, Jun
作者单位：Singapore Management University; Yale University; University of Auckland; Macquarie University; University of Macau
摘要：This paper explores implications of weak identification in common 'long memory' and recent 'rough' approaches to modeling volatility dynamics of financial assets. We unveil an asymptotic near-observational equivalence between a long memory model with weak autoregressive dynamics and a rough model with a near-unit autoregressive root. Standard methods struggle to distinguish them, and conventional asymptotics are invalid. We propose an identification-robust approach to construct confidence sets...
