Price discovery in the CSI 300 Index derivatives markets. Issue 7 (27th April 2022)

• Record Type: Journal Article
• Authors: Jin, Liwei; Yuan, Xianghui; Long, Jun; Li, Xiang; Lian, Feng
• Is Part Of: Journal of futures markets. Volume 42:Issue 7(2022)
• Page Start: 1352
• Page End: 1368
• Publication Date: 2022-04-27
• Subjects: future -- lead–lag -- option -- price discovery -- the TOP method; Commodity exchanges -- Periodicals; Foreign exchange futures -- Periodicals; 332.632
• DOI: 10.1002/fut.22335
• Languages: English
• ISSNs: 0270-7314

Abstract

Abstract: The price discovery in finance markets has been the focus of many researches. On the basis of 1‐min high‐frequency returns, this paper sets out to examine the dynamics of price discovery between the China Securities Index 300 index and its derivative products: the futures, the index exchange‐traded fund (ETF), and the ETF options. Nonparametric nonlinear method thermal optimal path method is adopted in this study. The empirical evidence shows a clear difference in price discovery ability concerning the three products under investigation, and their rank (sorted by strength) can be presented as options, futures, and ETF. In addition, the leading phenomenon has been verified by the regression method. Furthermore, we find that out‐of‐the‐money options have the strongest price discovery ability among different moneyness option contracts. On this basis, we find that leverage is an important factor affecting the ability of price discovery.