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Long memory behavior of returns after intraday financial jumps

Stefan Kambiz Behfar

Physica A: Statistical Mechanics and its Applications, 2016, vol. 461, issue C, 716-725

Abstract: In this paper, characterization of intraday financial jumps and time dynamics of returns after jumps is investigated, and will be analytically and empirically shown that intraday jumps are power-law distributed with the exponent 1<μ<2; in addition, returns after jumps show long-memory behavior. In the theory of finance, it is important to be able to distinguish between jumps and continuous sample path price movements, and this can be achieved by introducing a statistical test via calculating sums of products of returns over small period of time. In the case of having jump, the null hypothesis for normality test is rejected; this is based on the idea that returns are composed of mixture of normally-distributed and power-law distributed data (∼1/r1+μ). Probability of rejection of null hypothesis is a function of μ, which is equal to one for 1<μ<2 within large intraday sample size M. To test this idea empirically, we downloaded S&P500 index data for both periods of 1997–1998 and 2014–2015, and showed that the Complementary Cumulative Distribution Function of jump return is power-law distributed with the exponent 1<μ<2. There are far more jumps in 1997–1998 as compared to 2015–2016; and it represents a power law exponent in 2015–2016 greater than one in 1997–1998. Assuming that i.i.d returns generally follow Poisson distribution, if the jump is a causal factor, high returns after jumps are the effect; we show that returns caused by jump decay as power-law distribution. To test this idea empirically, we average over the time dynamics of all days; therefore the superposed time dynamics after jump represent a power-law, which indicates that there is a long memory with a power-law distribution of return after jump.

Keywords: Intraday financial jump; Financial return; Power-law distribution; Realized volatility; Bi-power variation; Long memory behavior (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:461:y:2016:i:c:p:716-725

DOI: 10.1016/j.physa.2016.06.026

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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