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Banking & Finance

The dynamic quantile approach for VaR estimation: empirical evidence from Indonesia banking industry

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Article: 2305606 | Received 14 Jul 2023, Accepted 08 Jan 2024, Published online: 24 Jan 2024

Figures & data

Table 1. Descriptive statistics for daily gain/loss (in IDR).

Table 2. Descriptive statistics for predictor variables of macroeconomy.

Figure 1. VaR estimation results for Bank A.

Figure 1. VaR estimation results for Bank A.

Figure 2. VaR estimation results for Bank B.

Figure 2. VaR estimation results for Bank B.

Figure 3. VaR estimation results for Bank C.

Figure 3. VaR estimation results for Bank C.

Figure 4. VaR estimation results for Bank D.

Figure 4. VaR estimation results for Bank D.

Table 3. Descriptive statistics of VaR estimation results.

Table 4. Dynamic quantile backtesting results.

Table 5. Backtesting results with benchmark model.

Data availability statement

The data used in this study (gain/loss data) is internal bank data that cannot be shared with the public.