Skip to main content
Advertisement

< Back to Article

Fig 1.

The trend, seasonality and residual of CGR from 2007 to 2022.

More »

Fig 1 Expand

Fig 2.

CGR demonstrates a strong positive correlation (0.90) with SPY during the 2008 Lehman crisis, highlighting its ability to capture market sentiment under volatile conditions.

More »

Fig 2 Expand

Fig 3.

The CGR can be viewed an a prediction indicator for the two sudden falls of SPY in the 2008 Financial Crisis.

More »

Fig 3 Expand

Fig 4.

Positive correlation of 5-day lagged CGR with SPY during the 2009 European Debt Crisis.

More »

Fig 4 Expand

Fig 5.

Positive correlation of 5-day lagged CGR with SPY during the Trade War Fears.

More »

Fig 5 Expand

Fig 6.

Positive correlation of 5-day lagged CGR with SPY during the 2018 Fall Selloff.

More »

Fig 6 Expand

Fig 7.

The CGR can be viewed an a prediction indicator for the two sudden falls of SPY in the 2018 Fall Selloff.

More »

Fig 7 Expand

Fig 8.

SPY price movements during a stable market period (2007–2008).

The steady price trends highlight the absence of significant volatility, establishing this period as a baseline for correlation analysis.

More »

Fig 8 Expand

Fig 9.

Correlation matrix of CGR and SPY during a stable market period (2007–2008).

The reduced correlation highlights CGR’s limited applicability in calm market conditions.

More »

Fig 9 Expand

Table 1.

The average and maximum values of the VIX during each crisis period are shown alongside the correlation between SPY and CGR.

More »

Table 1 Expand

Table 2.

Hyperparameters for DLSTM network.

More »

Table 2 Expand

Fig 10.

The prediction SPY price on test set.

More »

Fig 10 Expand

Table 3.

Hyperparameters for LSTM network.

More »

Table 3 Expand

Table 4.

Directional accuracy of DLSTM, LSTM, and binary classification models.

More »

Table 4 Expand

Fig 11.

Directional predictions on test set.

More »

Fig 11 Expand