Approach of Maximal Overlap Discrete Wavelet Transforms to Stock Return in the Iran Capital Market

Subject Areas : Financial Accounting

Roghayeh  Samadi ¹ (PhD student, Faculty of Management and Economics, Sistan and Baluchestan University, Zahedan, Iran)
Mohammad  Ezazi ² (Assistant Professor, Faculty of Management and Economics, Sistan and Baluchestan University, Zahedan, Iran)
Reza  Tehrani ³ (Management and Insurance Group, Faculty of Management, Tehran University, Tehran, Iran)
Seyed aligholi  Roshan ⁴ (Faculty of Management and Economics, Sistan and Baluchestan University, Zahedan, Iran)
Mohammad  Nabi Shahiki Tash ⁵ (Faculty of Management and Economics , University of Sistan and Baluchestan, Faculty of Economics)

Received: 2022-01-07 Accepted : 2022-06-29 Published : 2023-05-01

Keywords: Stock Returns, Wavelet, Maximal overlap discrete wavelet transform(MODWT),

Abstract :

The main purpose of this study is to determine the real and dynamic relationship between returns and stock market fluctuations in different time horizons so that its key results can measure the predictive power of returns and stock market fluctuations in determining the level of economic activity of investors. Accurate measurement of these relationships helps investors predict stock market movements in the future and Develop, plan and implement their own investment strategies in each time horizon. In this research Maximal overlap discrete wavelet transform has been used to investigate the relationships between industries return fluctuations and stock main indices in different time horizons from 2011 to 2020 have been estimated. The results showed that the wavelet variance of the rate of return varies in different industries. The return of investment companies on various time scales is equal to the investment return of the banking industry. The variance of the total index is less on different time scales than the value of the cash index.

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