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Features

Interest rate convexity in a Gaussian framework

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Received 14 Aug 2023, Accepted 11 May 2024, Published online: 13 Jun 2024

Figures & data

Figure 1. Examples of rates curves over different days from the OptionMetrics rates data.

Figure 1. Examples of rates curves over different days from the OptionMetrics rates data.

Figure 2. Top: Time series of the OptionMetrics rates for different maturities. Bottom: Estimation of the Hurst exponent for the OptionMetrics rates data.

Figure 2. Top: Time series of the OptionMetrics rates for different maturities. Bottom: Estimation of the Hurst exponent for the OptionMetrics rates data.

Figure 3. Top: Time series of the US Treasury rates for different maturities. Bottom: Estimation of the Hurst exponent for the US Treasury rates.

Figure 3. Top: Time series of the US Treasury rates for different maturities. Bottom: Estimation of the Hurst exponent for the US Treasury rates.

Table 1. aaaa

Figure 4. Dynamics of the zero-coupon bond in the Exponential (left) and the Riemann-Liouville (right) kernel case.

Figure 4. Dynamics of the zero-coupon bond in the Exponential (left) and the Riemann-Liouville (right) kernel case.

Figure 5. Left: Impact of the exponential factor α on the convexity for the Exponential kernel from section 2.3.1. Right: Impact of the Hurst exponent H on the convexity for the power-law kernel from section 2.3.2.

Figure 5. Left: Impact of the exponential factor α on the convexity for the Exponential kernel from section 2.3.1. Right: Impact of the Hurst exponent H on the convexity for the power-law kernel from section 2.3.2.

Figure 6. Left: Impact of the exponential factor α on the convexity for the Exponential kernel with standard Brownian motion (black dashed) and with OU driver with different β parameters. Right: Same but with the power-law kernel.

Figure 6. Left: Impact of the exponential factor α on the convexity for the Exponential kernel with standard Brownian motion (black dashed) and with OU driver with different β parameters. Right: Same but with the power-law kernel.