Quantitative Methods Practice for Finance Exams (CFA-Style Level I)
Hands-on practice for the quant topics of entry-level finance exams: NPV and IRR of uneven cash flows, money- vs time-weighted return, annuities and perpetuities, return statistics with skew and kurtosis, scenario probability and portfolio risk, binomial and normal distributions with safety-first, confidence intervals, t-tests and simple regression, every cell checked as you go. Independent practice, not affiliated with or endorsed by CFA Institute; CFA® and Chartered Financial Analyst® are registered trademarks owned by CFA Institute.
The first lesson is free — no account needed.
About this course
Quantitative methods practice for candidates preparing for CFA®-style Level I exams and other entry-level finance exams, built as eight spreadsheet labs that check every step. You value uneven cash flows with NPV and IRR and compare the money-weighted with the time-weighted return, price ordinary annuities, annuities due, deferred perpetuities and growing dividends, describe ten years of fund returns with the geometric mean, skewness and excess kurtosis, weight scenarios for expected return, covariance and the risk of a 60/40 portfolio, apply binomial and normal probabilities, z-scores and Roy's safety-first ratio, build t-based confidence intervals, test a mean active return with a p-value and run a simple regression for beta, R² and the t-test of the slope. Independent practice, not affiliated with or endorsed by CFA Institute. CFA® and Chartered Financial Analyst® are registered trademarks owned by CFA Institute. The first lab is free.
Lessons
- Uneven Cash Flows: NPV, IRR, Money- vs Time-Weighted ReturnFree
- Annuities & Perpetuities: Ordinary vs Due, Deferred & Growing Pro
- Describing Returns: Mean, Median, Geometric Mean, Skew & Kurtosis Pro
- Probability: Expected Value, Variance, Covariance & a Two-Asset Portfolio Pro
- Binomial & Normal Distributions, z-Scores and Safety-First Pro
- Sampling & Confidence Intervals with the t-Distribution Pro
- Hypothesis Testing: t-Test of a Mean, p-Value & Decision Pro
- Simple Linear Regression: Beta, R², SEE & the t-Test of the Slope (Chart) Pro