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function of time. In spite of all its advantages, wavelets are hardly ever used in economics. The purpose of this paper is to …-frequency domain. We use wavelets to analyze the impact of interest rate price changes on some macroeconomic variables: Industrial …, wavelet coherency and wavelet phase-difference. These instruments illustrate how the use of wavelets may help to unravel …
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A large body of empirical literature has suggested that oil price shocks have an important effect on economic activity. But in most of the literature the analysis is exclusively done in the time domain. However, interesting relations exist at different frequencies. We use (cross) wavelet...
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Following Hwa and Wu [R.C. Hwa, Y. Wu, Phys. Rev. C 60 (1999) 0544904], we characterize the fluctuation behavior of the hadron density produced during quark-hadron phase transition, as modeled by a 2D Ising model. Using a recently developed discrete wavelet based approach, the scaling behavior...
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The cross wavelet analysis is used in the study to decompose the time–frequency effects of oil price changes on the German macroeconomy. We argue that the relationship between oil prices and industrial production is ambiguous. Our results show that there are both phase and anti-phase...
Persistent link: https://www.econbiz.de/10010608243
The study analyses Granger-causality between interest rate (IR) and share prices (SP) for India by using monthly data covering the period of 1990M1 to 2009M3. The time-frequency relationship between IR and SP was decomposed through continuous wavelet approach for the first time in the study. We...
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