This paper provides new empirical evidence for intraday scaling behavior of stock market returns utilizing a 5 min stock market index (the Dow Jones Industrial Average) from the New York Stock Exchange. It is shown that the return series has a multifractal nature during the day. In addition, we show that after a financial "earthquake", aftershocks in the market follow a power law, analogous to Omori's law. Our findings indicate that the moments of the return distribution scale nonlinearly across time scales and accordingly, volatility scaling is nonlinear under such a data generating mechanism. © 2006 Elsevier B.V. All rights reserved
We develop a nonparametric test for whether return volatility exhibits time-varying intraday periodi...
We analyze the memory in volatility by studying volatility return intervals, defined as the time bet...
A stock market is typically modeled as a complex system where the purchase, holding or selling of in...
This paper provides new empirical evidence for intraday scaling behavior of stock market returns uti...
This paper provides evidence for scaling laws in emerging stock markets. Estimated parameters using ...
We measure the influence of different time-scales on the intraday dynamics of financial markets. Thi...
Most of the papers that study the distributional and fractal properties of financial instruments foc...
We study the return interval $\tau$ between price volatilities that are above a certain threshold $q...
Most of the papers that study the distributional and fractal properties of financial instruments foc...
We report evidence of a deep interplay between cross-correlations hierarchical properties and multif...
This paper presents the results of multifractal testing of two sets of financial data: daily data o...
Most of the papers that study the distributional and fractal properties of financial instruments fo...
This thesis will first criticize standard financial theory. The focus will be on return distribution...
Being able to quantify the probability of large price changes in stock markets is of crucial importa...
We study the cascading dynamics immediately before and immediately after 219 market shocks. We defin...
We develop a nonparametric test for whether return volatility exhibits time-varying intraday periodi...
We analyze the memory in volatility by studying volatility return intervals, defined as the time bet...
A stock market is typically modeled as a complex system where the purchase, holding or selling of in...
This paper provides new empirical evidence for intraday scaling behavior of stock market returns uti...
This paper provides evidence for scaling laws in emerging stock markets. Estimated parameters using ...
We measure the influence of different time-scales on the intraday dynamics of financial markets. Thi...
Most of the papers that study the distributional and fractal properties of financial instruments foc...
We study the return interval $\tau$ between price volatilities that are above a certain threshold $q...
Most of the papers that study the distributional and fractal properties of financial instruments foc...
We report evidence of a deep interplay between cross-correlations hierarchical properties and multif...
This paper presents the results of multifractal testing of two sets of financial data: daily data o...
Most of the papers that study the distributional and fractal properties of financial instruments fo...
This thesis will first criticize standard financial theory. The focus will be on return distribution...
Being able to quantify the probability of large price changes in stock markets is of crucial importa...
We study the cascading dynamics immediately before and immediately after 219 market shocks. We defin...
We develop a nonparametric test for whether return volatility exhibits time-varying intraday periodi...
We analyze the memory in volatility by studying volatility return intervals, defined as the time bet...
A stock market is typically modeled as a complex system where the purchase, holding or selling of in...