diff --git a/src/model/Yield/MonotoneConvex.jl b/src/model/Yield/MonotoneConvex.jl
new file mode 100644
index 00000000..544751ab
--- /dev/null
+++ b/src/model/Yield/MonotoneConvex.jl
@@ -0,0 +1,98 @@
+
+# Hagan West - WILMOTT magazine pgs 75-81
+function g(x, f⁻, f, fᵈ)
+    @show x, f⁻, f, fᵈ
+    @show g0 = f⁻ - fᵈ
+    @show g1 = f - fᵈ
+    A = -2 * g0
+    B = -2 * g1
+    if sign(g0) == sign(g1)
+        # sector (iv)
+        η = g1 / (g1 + g0)
+        α = -g0 * g1 / (g1 + g0)
+
+        if x < η
+            return α + (g0 - α) * ((η - x) / η)^2
+        else
+            return α + (g1 - α) * ((x - η) / (1 - η))^2
+        end
+
+
+    elseif g1 < A && g0 > B
+        # sector (i)
+        g0 * (1 - 4 * x + 3 * x^2) + g1 * (-2 * x + 3 * x^2)
+    elseif g1 > A
+        # sector (ii)
+        η = (g1 + 2 * g0) / (g1 - g0)
+        if x < η
+            return g0
+        else
+            return g0 + (g1 - g0) * ((x - η) / (1 - η))^2
+        end
+    else
+        # sector (iii)
+        η = 3 * g1 / (g1 - g0)
+        if x > η
+            return g1
+        else
+            return g1 + (g0 - g1) * ((η - x) / η)^2
+        end
+
+    end
+end
+
+function forward(t, rates, times)
+    # the array indexing in the paper and psuedo-VBA is messy
+    N = length(times)
+    times = collect(times)
+    rates = collect(rates)
+    i_time = findfirst(x -> x > t, times)
+    if !iszero(first(times))
+        pushfirst!(times, zero(eltype(times)))
+        pushfirst!(rates, first(rates))
+
+    end
+    # step 1
+    fᵈ = map(2:length(times)) do i
+        (times[i] * rates[i] - times[i-1] * rates[i-1]) / (times[i] - times[i-1])
+    end
+    pushfirst!(fᵈ, 0)
+    # step 2
+    f = map(2:length(times)-1) do i
+        (times[i] - times[i-1]) / (times[i+1] - times[i-1]) * fᵈ[i+1] +
+        (times[i+1] - times[i]) / (times[i+1] - times[i-1]) * fᵈ[i]
+    end
+    # step 3
+    # collar(a,b,c) = clamp(b, a, c)
+    pushfirst!(f, fᵈ[2] - 0.5 * (f[1] - fᵈ[2]))
+    fᵈ[end], f[end-1], fᵈ[end]
+    push!(f, fᵈ[end] - 0.5 * (f[end] - fᵈ[end]))
+    f[1] = clamp(f[1], 0, 2 * fᵈ[2])
+    f[end] = clamp(f[end], 0, 2 * fᵈ[end])
+
+    for j in 2:(length(times)-1)
+        f[j] = clamp(f[j], 0, 2 * min(fᵈ[j], fᵈ[j+1]))
+    end
+    @show x = (t - times[i_time]) / (times[i_time+1] - times[i_time])
+    @show fᵈ, f
+    @show fᵈ[i_time+1], g(x, f[i_time], f[i_time+1], fᵈ[i_time+1])
+    return fᵈ[i_time+1] + g(x, f[i_time], f[i_time+1], fᵈ[i_time+1])
+
+
+
+
+end
+
+times = 1:5
+rates = [0.03, 0.04, 0.047, 0.06, 0.06]
+forward(1, rates, times)
+
+
+using Test
+@test forward(0.5, rates, times) ≈ 0.02875
+@test forward(1, rates, times) ≈ 0.04
+@test forward(2, rates, times) ≈ 0.0555
+@test forward(2.5, rates, times) ≈ 0.0571254591368226
+@test forward(5, rates, times) ≈ 0.050252925
+@test forward(5.2, rates, times) ≈ 0.050252925
+