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Information Journal Paper

Title

APPLICATION OF LONG-TERM MEMORY AND STRUCTURAL BREAK' MODELS: A QUANTITATIVE APPROACH

Pages

  23-50

Abstract

 A short memory process that encounters occasional STRUCTURAL BREAKs in mean can show a slower rate of decay in the autocorrelation function and other properties of fractional integrated I (d) processes. In the present study, this is discussed by long-term memory's semi-parametric and parametric tests and diagnosis and determine the time breakpoints by OLS tests based on CUSUM, SupF and Bai and Perron (1998, 2003). The result indicates that there are simultaneously long memory and time breakpoints in TEPIX series. Therefore, for a correct deduced about the market memory, statistical proporties and long-term memory tests was checked in pre and post periods of time breakpoints. Results is supported the approximately same statistical properties and existence of long memory in all divided partitions. Moreover, to ensure the long-term memory is unaffected by the STRUCTURAL BREAKs, Smith' (2005) modified GPH test was used. Resulting in, modified GPH estimator has supported the unaffected of long-term memory from breakpoints. Finally, it can be claimed that the TEPIX memory is long and actual. Therefore, this evidence shows a true long memory not due to STRUCTURAL BREAK.

Cites

References

Cite

APA: Copy

KASHI, M., SHAMS, M.F., & DONYAEI, M.. (2013). APPLICATION OF LONG-TERM MEMORY AND STRUCTURAL BREAK' MODELS: A QUANTITATIVE APPROACH. FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), 4(16), 23-50. SID. https://sid.ir/paper/197546/en

Vancouver: Copy

KASHI M., SHAMS M.F., DONYAEI M.. APPLICATION OF LONG-TERM MEMORY AND STRUCTURAL BREAK' MODELS: A QUANTITATIVE APPROACH. FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT)[Internet]. 2013;4(16):23-50. Available from: https://sid.ir/paper/197546/en

IEEE: Copy

M. KASHI, M.F. SHAMS, and M. DONYAEI, “APPLICATION OF LONG-TERM MEMORY AND STRUCTURAL BREAK' MODELS: A QUANTITATIVE APPROACH,” FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), vol. 4, no. 16, pp. 23–50, 2013, [Online]. Available: https://sid.ir/paper/197546/en

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