A common question asked by FRM candidates (and people who are considering whether to sit for the FRM exam) is, where can I find an introduction to the math? Although the FRM has many qualitative and conceptual topics, it also contains a lot of formulas and numerical illustrations. The CFA, by way of comparison, is broader but the FRM goes deeper. In large part that is due to the nature of risk. For example, in the CFA, (the last time I checked) you need to be able to value a stock option according to the two common option pricing models (Black-Scholes and binomial). The FRM requires you to understand both of these models as a sort of prerequisite: to understand the risk of an option, we start with the valuation of the option then proceed to risk. After hosting this forum for well over a decade, you can imagine that I've learned so much about the candidate's introduction to quantitative risk. In fact, most of my expertise derives from the joyful interaction with learners; so many mistakes and imprecisions have helped me sharpen the saw, if you will! It's a good time to summarize the quantitative foundation that I am calling an Introduction to the Quantitative Foundation of Risk. I hope you find it helpful.
Table of Contents
Table of Contents
- Present value (PV)
- Compound frequencies (discrete versus continuous)
- Valuation versus risk measurement
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