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TableLookupNinja2026-05-23
cfaLevel IIDerivativesExam Mechanics

How do I calculate $N(d_1)$ by hand on the CFA Level II exam?

My calculator does not have a normal CDF function. How do other candidates handle $N(d_1)$ and $N(d_2)$ on the actual exam? Do they give us a table? Do I have to memorize standard values?

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CFA Institute provides a standard normal CDF table during the exam. You do not memorize, and you do not compute N()N(\cdot) from scratch. Here is the exact mechanics.

What CFA Institute provides:

A z-table with N(z)N(z) values for zz from 0.00 to (typically) 3.49 in steps of 0.01. The table has 35 rows ×\times 10 columns. For negative zz, you use the identity N(z)=1N(z)N(-z) = 1 - N(z).

The lookup process for d1=0.35d_1 = 0.35:

  1. Round d1d_1 to two decimal places: 0.35.
  2. Find row 0.3 in the table.
  3. Move to column 0.05.
  4. Read off N(0.35)0.6368N(0.35) \approx 0.6368.

For negative dd:

If d1=0.42d_1 = -0.42, look up N(0.42)0.6628N(0.42) \approx 0.6628, then compute N(0.42)=10.6628=0.3372N(-0.42) = 1 - 0.6628 = 0.3372.

Memorising a few benchmarks (highly recommended):

zzN(z)N(z)
0.000.5000
0.500.6915
1.000.8413
1.280.9000
1.650.9500
1.960.9750
2.330.9900
2.580.9950

The bolded values appear constantly (5%, 10%, 2.5%, 1% one-tailed tests). Knowing these by heart saves table-lookup time on the exam, which is the scarcest resource.

Interpolation:

If d1=0.355d_1 = 0.355 (three decimal places), you can either:

  1. Round to 0.36 and use N(0.36)N(0.36) (acceptable accuracy for multiple-choice)
  2. Linearly interpolate: N(0.355)(N(0.35)+N(0.36))/2N(0.355) \approx (N(0.35) + N(0.36)) / 2

The exam usually rounds inputs to give you a clean two-decimal d1d_1, so interpolation is rarely needed.

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Common mistake: Confusing N()N(\cdot) the CDF with n()n(\cdot) the PDF. Always CDF for BSM. The pdf only shows up if a question asks about gamma or vega.

Sanity-check trick: If the answer choices are spread far apart, you can get the right one with d1d_1 rounded to one decimal place. For example, N(0.4)0.66N(0.35)N(0.4) \approx 0.66 \approx N(0.35) close enough.

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