Activity day:2012-10-18
Published At:2012-10-18
Views:271
2017-02-12 updated
各位學界的朋友:
大家好!台大計量理論與應用研究中心 (CRETA) 很榮幸於 10 月 26 日 (五) 邀請到: Professor Heather Anderson from Monash University
至本中心訪問,並於 CRETA Workshop on Advanced Econometrics 14 進行專題演講,
演講主題為:Testing for co-jumps in high-frequency financial data: an approach based on first-high-low-last prices
This paper proposes a new test for simultaneous intraday jumps (co-jumps) in a panel of high frequencyfinancial data. We utilize intraday first-high-low-last values of asset prices to construct estimates for the cross-variation of returns in a large panel of high frequency financial data, and then employ these estimates to provide a test statistic that can detect co-jumps. Simulations show that a bias corrected version of the test can be used in the presence of microstructure noise. When applied to a panel of high frequency data from the Chinese mainland stock market, our test identifies co-jumps that can be associated with announcements relating to monetary policy and stock market regulations.