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Quantitative Finance · Glosarium

Apa itu Monotone convex interpolation?

Definition 1.7 Rates, Credit, XVA and Risk · Bab 1 — Curve Construction

Monotone convex interpolation (Hagan and West, 2006) builds the forward curve directly. On each interval it keeps the discrete forward fˉj\bar f_j, estimates the instantaneous forward fjf_j at each pillar as the time-weighted average of the two adjacent discrete forwards, and fills the interval with f(T)=fˉj+G(x)f(T)=\bar f_j + G(x), x=(T−Tj−1)/(Tj−Tj−1)x=(T-T_{j-1})/(T_j-T_{j-1}), where GG is a quadratic, or a quadratic joined to a constant, with G(0)=fj−1−fˉjG(0)=f_{j-1}-\bar f_j, G(1)=fj−fˉjG(1)=f_j-\bar f_j and ∫01G=0\int_0^1G=0, chosen from four cases so that GG never overshoots its end values. The forward curve is continuous, reproduces every discrete forward, and stays within the range of the neighbouring forwards.

Four instantaneous forward curves from the same seventeen quotes; every one reprices every input exactly. Linear zero rates give a sawtooth; flat forwards give steps; the cubic spline and the monotone convex curve are continuous and nearly coincide at this scale: they differ in how they respond to a change of one quote (). Data: the chapter’s illustrative dollar curve and tutorial.
Figure 1.2. Four instantaneous forward curves from the same seventeen quotes; every one reprices every input exactly. Linear zero rates give a sawtooth; flat forwards give steps; the cubic spline and the monotone convex curve are continuous and nearly coincide at this scale: they differ in how they respond to a change of one quote (Figure 1.4). Data: the chapter’s illustrative dollar curve and tutorial.
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