<p>From top to bottom, we report the index time series, the corresponding returns time series, the volatility, the percentages of wins for the five strategies over all the windows and the corresponding standard deviations. The last two quantities are averaged over 10 different runs (events) inside each window.</p
The paper focuses on GARCH-type models for analysing and forecasting S&P500 stock market index. The ...
The horizontal axis shows days. The vertical axis shows daily value added of the system. The red lin...
The increasing availability of financial market data at intraday frequencies has not only led to the...
<p>From top to bottom, we report the index time series, the corresponding returns time series, the v...
<p>From top to bottom, we report the index time series, the corresponding returns time series, the v...
<p>From top to bottom, we report the index time series, the corresponding returns time series, the v...
<p>As visible, the performances of the strategies can be very different one from the others inside a...
<p>The results are averaged over individual stocks. For the NYSE, the time windows are <i>T</i><sub>...
<p>The S&P 500 and Shanghai indices are simulated with and , respectively. Dashed lines show an exp...
<p>(<b>a</b>) The return-volatility correlation function of the full time series, the medium mode an...
The purpose of this study is to determine which S&P 500 sectors outperform in four types of markets....
In recent years the stock market has experienced wide swings in market value much more frequently. T...
In this work, the financial data of 377 stocks of Standard & Poor’s 500 Index (S&P 500...
<p>The probability difference (<b>a</b>) Δ<i>P</i>(<i>t</i>) and (<b>b</b>) Δ<i>P</i><sub>1</sub>(<i...
Legend: This table shows the effect on the Compliance Indicator by perturbing 3 sets of numbers at a...
The paper focuses on GARCH-type models for analysing and forecasting S&P500 stock market index. The ...
The horizontal axis shows days. The vertical axis shows daily value added of the system. The red lin...
The increasing availability of financial market data at intraday frequencies has not only led to the...
<p>From top to bottom, we report the index time series, the corresponding returns time series, the v...
<p>From top to bottom, we report the index time series, the corresponding returns time series, the v...
<p>From top to bottom, we report the index time series, the corresponding returns time series, the v...
<p>As visible, the performances of the strategies can be very different one from the others inside a...
<p>The results are averaged over individual stocks. For the NYSE, the time windows are <i>T</i><sub>...
<p>The S&P 500 and Shanghai indices are simulated with and , respectively. Dashed lines show an exp...
<p>(<b>a</b>) The return-volatility correlation function of the full time series, the medium mode an...
The purpose of this study is to determine which S&P 500 sectors outperform in four types of markets....
In recent years the stock market has experienced wide swings in market value much more frequently. T...
In this work, the financial data of 377 stocks of Standard & Poor’s 500 Index (S&P 500...
<p>The probability difference (<b>a</b>) Δ<i>P</i>(<i>t</i>) and (<b>b</b>) Δ<i>P</i><sub>1</sub>(<i...
Legend: This table shows the effect on the Compliance Indicator by perturbing 3 sets of numbers at a...
The paper focuses on GARCH-type models for analysing and forecasting S&P500 stock market index. The ...
The horizontal axis shows days. The vertical axis shows daily value added of the system. The red lin...
The increasing availability of financial market data at intraday frequencies has not only led to the...