According to market heterogeneity hypothesis, financial markets are characterized by the presence of heterogeneity of participants with different sensibilities to different time scales. Although Wavelet based Value at Risk is able to represent dealing frequencies of market participants, it...

In this the paper we investigate the oil price volatility, by studying the causal relationships between different volatilities captured at different time scales. We first decompose the oil price volatility at various scales of resolution or frequency ranges by using wavelet analysis. We then...

In this paper, we use wavelet analysis to investigate the cyclical comovements between crude oil prices and US GDP, taking into account the decline in the volatility of US GDP growth that has occurred since the mid-1980s.

In this paper, we contribute to the literature on the international stock market co-movements and contagion, especially during the recent subprime crisis, by researching the interconnections between international stock markets in time-frequency domain.