CFA® Program Level II FORMULA SHEET (2022) Version 1.0 Prepared by: Fabian Moa, CFA, FRM, FMVA, AFM FOR REFERENCE ONLY (Note: Formula Sheet is not provided in the CFA exam) Follow us on: Facebook (Malaysia) Facebook (Singapore) Facebook (Vietnam) LinkedIn Instagram YouTube NOESIS EXED SDN BHD Block VO2, Level 5, Unit 8, Lingkaran SV, Sunway Velocity, 55100 Kuala Lumpur, Malaysia Website: www.noesis.edu.sg CFA Institute does not endorse, promote, or warrant the accuracy or quality of the products or services offered by Noesis Exed. CFA Institute, CFA® and Chartered Financial Analyst® are trademarks owned by CFA Institute. Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed CFA Level 2 – Formula Sheet (2022) QUANTITATIVE METHODS Reading 1: Introduction to Linear Regression ๐ ๐ ๐๐ ๐ ๐ 1, 2, 3, … , ๐ where: ๐ dependent variable ๐ independent variable intercept ๐ ๐ slope coefficient ๐ error term ๐ number of observations Linear least squares ∑ ๐ถ๐๐ฃ ๐, ๐ ๐ ๐ ๐ ๐ ๐๐๐ ๐ ∑ ๐ ๐ ๐ ๐ ๐ ๐๐ 1 ๐ถ๐๐ฃ ๐, ๐ ๐ 1 ๐๐๐ ๐ ๐ 1 ๐ ๐ ๐ 1 ๐ ๐ ๐ ๐ถ๐๐ฃ ๐, ๐ ๐ถ๐๐๐๐๐๐๐ก๐๐๐ ๐๐๐๐๐๐๐๐๐๐๐ก ๐๐๐ ๐ ๐๐๐ ๐ Note: Correlation coefficient is labelled as Multiple R in regression output. Coefficient of Determination, R2 ๐๐ข๐ ๐๐ ๐๐๐ข๐๐๐๐ ๐ ๐๐๐๐๐ ๐ ๐๐๐ ๐ ๐๐ข๐ ๐๐ ๐๐๐ข๐๐๐๐ ๐๐๐ก๐๐ ๐ 1 ๐๐๐ธ ๐๐๐ ๐ถ๐๐๐๐๐๐๐ก๐๐๐ ๐๐๐๐๐๐๐๐๐๐๐ก ๐๐ข๐ ๐๐ ๐๐๐ข๐๐๐๐ ๐๐๐ก๐๐ ๐๐๐ ๐๐ข๐ ๐๐ ๐๐๐ข๐๐๐๐ ๐ ๐๐๐๐๐ ๐ ๐๐๐ ๐๐๐ ๐ ๐ ๐ ๐๐ ๐ 2 ๐ ๐๐๐ธ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed ๐๐ข๐ ๐๐ ๐๐๐ข๐๐๐๐ ๐ธ๐๐๐๐ ๐๐๐ธ ๐ ๐ Confidence interval for slope coefficient: ๐ก ๐ ๐ ๐ ๐ก ๐ Slope coefficient (using linear regression) critical t value (degrees of freedom ๐ 2) standard error of slope coefficient ๐น ๐ ๐ก๐๐ก๐๐ ๐ก๐๐ ๐น ๐๐๐๐ ๐๐๐ข๐๐๐ ๐ ๐๐๐๐๐ ๐ ๐๐๐ ๐๐๐๐ ๐๐๐ข๐๐๐ ๐ธ๐๐๐๐ ๐๐๐ ⁄1 ๐๐๐ธ ⁄ ๐ 2 ๐ก ๐ ๐ก๐๐ก๐๐ ๐ก๐๐ ๐๐๐ ๐ ANOVA df SS MSS Regression 1 ๐๐๐ ๐๐๐ ⁄1 Residual Total 2 ๐๐๐ธ ๐๐๐ธ ⁄ ๐ 1 ๐๐๐ ๐ ๐ F ๐๐๐ ⁄1 ๐๐๐ธ ⁄ ๐ 2 2 Standard error of the estimate (๐ ) ๐ ๐๐๐ธ ๐ 2 √๐๐๐ธ Test statistic for Slope Coefficient: ๐ก ๐ต ๐ ๐ ๐ต ๐ Hypothesized slope coefficient (in null and alternative hypotheses) ๐ ๐๐ก๐๐๐๐๐๐ ๐๐๐๐๐ ๐๐ ๐กโ๐ ๐ ๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐๐ก ∑ ๐ ๐ Test statistic for Correlation Coefficient: ๐ก ๐ 2 ๐ป :๐ ๐√๐ √1 Degrees of freedom 0 versus ๐ป : ๐ 0 3 2 ๐ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Test statistic for the Intercept: ๐ ๐ก ๐ต ๐ ๐ฝ ๐ Hypothesized intercept (in null and alternative hypotheses) 1 ๐ ๐ ๐ ∑ ๐๐ก๐๐๐๐๐๐ ๐๐๐๐๐ ๐๐ ๐กโ๐ ๐๐๐ก๐๐๐๐๐๐ก ๐ Prediction Interval for ๐๐ ๐ ๐ก ⁄ ๐ Variance of prediction error ๐ ๐ 1 1 ๐ ๐ 1 ๐ ๐ ๐ ๐ 1 ๐ 1 ๐ ๐ ∑ ๐ ๐ LogโLin Model ln ๐ ๐ ๐๐ LinโLog Model ๐ ๐ ๐ ln ๐ LinโLog Model ln ๐ ๐ ๐ ln ๐ Reading 2: Multiple Regression ๐ ๐ ๐๐ ๐ ๐ โฏ ๐ ๐ where: ๐ dependent variable ๐ independent variable intercept ๐ slope coefficients ๐ ,๐ ,…,๐ ๐ error term ๐ number of observations ๐ number of independent variables ๐ ,๐ ,๐ ,…,๐ regression coefficients 4 ๐ ๐ 1, 2, 3, … , ๐ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Test statistic for coefficient ๐ ๐ก ๐ ๐ ๐ ๐ ๐ ๐ Regression estimate of ๐ Hypothesized value of coefficient ๐ Estimated standard error of ๐ ANOVA df SS MSS Regression ๐ ๐๐๐ ๐๐๐ ⁄๐ Residual Total ๐ ๐ ๐ 1 1 ๐๐๐ธ ๐๐๐ธ ⁄ ๐ ๐๐๐ Adjusted R2 ๐ ๐ 1 ๐ 1 ๐ 1 F ๐๐๐ ⁄1 ๐๐๐ธ ⁄ ๐ ๐ ๐ 1 1 ๐ 1 BreuschโPagan Test ๐๐๐ ๐ก ๐๐ก๐๐ก๐๐ ๐ก๐๐, ๐ χ ๐๐ Rโsquared between squared residuals on independent variables Durbin Watson test ∑ ๐ท๐ ๐ฬ ∑ ๐ฬ ๐ฬ 2 1 ๐ If sample is very large, ๐ท๐ where ๐ sample correlation between regression residuals from one period and those from the previous period Logistic Regression (Logit Model) ln where ๐ ๐ 1 ๐ ๐๐ ๐ ๐ ๐ ๐ ๐ probability that event of interest happens Odds of an event happening ๐ 1 exp ๐ 1 ๐๐ 5 ๐ ๐ ๐ ๐ ๐ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Reading 3: TimeโSeries Analysis Linear Trend Models ๐ ๐ก ๐ ๐๐ก ๐ ๐ก 1,2, … , ๐ time (independent variable) LogโLinear Trend Models ๐ ๐ Growth rate of ๐ฆ ๐ ๐ก 1,2, … , ๐ 1 p-th order autoregressive model, AR(p): ๐ฅ ๐ ๐๐ฅ ๐ ๐ฅ Test statistic for autocorrelation of residuals: ๐ ๐๐ ๐๐๐ข๐๐ ๐๐ข๐ก๐๐๐๐๐๐๐๐๐ก๐๐๐ ๐ก ๐๐ก๐๐๐๐๐๐ ๐๐๐๐๐ ๐ ๐ฅ 1⁄√๐ ๐ 1 ๐ Root Mean Squared Error: ๐ ๐๐๐ธ ๐๐๐ข๐๐๐๐ ๐๐๐๐๐ ๐ ARCH(1): ๐ ๐ ๐ ๐ฬ Reading 5: Big Data Projects Normalization of variable X ๐ ๐ ๐ Standardization of variable X ๐ ๐ ๐ ๐ ๐๐๐๐๐๐ ๐๐๐, ๐ ๐ ๐ ๐๐ ๐๐๐ข๐๐ ๐๐ข๐ก๐๐๐๐๐๐๐๐๐ก๐๐๐ 0 Mean reverting level for AR(1) model: ๐ฅ โฏ ๐ ๐ ๐๐๐ข๐ ๐๐๐ ๐๐ก๐๐ฃ๐ ๐๐๐ข๐ ๐๐๐ ๐๐ก๐๐ฃ๐ ๐น๐๐๐ ๐ ๐๐๐ ๐๐ก๐๐ฃ๐ 6 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed ๐ ๐๐๐๐๐, ๐ ๐ด๐๐๐ข๐๐๐๐ฆ ๐น1 ๐๐๐๐๐ ๐๐๐ข๐ ๐๐๐ ๐๐ก๐๐ฃ๐ ๐๐๐ข๐ ๐๐๐ ๐๐ก๐๐ฃ๐ ๐น๐๐๐ ๐ ๐๐๐๐๐ก๐๐ฃ๐ ๐๐๐ข๐ ๐๐๐ ๐๐ก๐๐ฃ๐ 2 ๐๐๐ข๐ ๐๐๐ ๐๐ก๐๐ฃ๐ ๐๐๐ข๐ ๐๐๐๐๐ก๐๐ฃ๐ ๐น๐๐๐ ๐ ๐๐๐ ๐๐ก๐๐ฃ๐ ๐๐๐ข๐ ๐๐๐๐๐ก๐๐ฃ๐ ๐น๐๐๐ ๐ ๐๐๐๐๐ก๐๐ฃ๐ ๐๐๐๐๐๐ ๐๐๐ ๐ ๐๐๐๐๐ ๐๐๐๐๐๐ ๐๐๐ ๐ ๐๐๐๐๐ ๐น๐๐๐ ๐ ๐๐๐ ๐๐ก๐๐ฃ๐ ๐ ๐๐ก๐, ๐น๐๐ ๐๐๐ข๐ ๐๐๐ ๐๐ก๐๐ฃ๐ ๐ ๐๐ก๐, ๐๐๐ ๐น๐๐๐ ๐ ๐๐๐ ๐๐ก๐๐ฃ๐ ๐๐๐ข๐ ๐๐๐๐๐ก๐๐ฃ๐ ๐น๐๐๐ ๐ ๐๐๐ ๐๐ก๐๐ฃ๐ ๐๐๐ข๐ ๐๐๐ ๐๐ก๐๐ฃ๐ ๐๐๐ข๐ ๐๐๐ ๐๐ก๐๐ฃ๐ ๐น๐๐๐ ๐ ๐๐๐๐๐ก๐๐ฃ๐ ๐๐๐๐ ๐น๐๐๐๐ข๐๐๐๐ฆ ๐ถ๐๐๐๐๐๐ก๐๐๐ ๐ฟ๐๐ฃ๐๐ ๐๐๐๐ ๐น๐๐๐๐ข๐๐๐๐ฆ ๐๐๐๐ก๐๐๐๐ ๐ฟ๐๐ฃ๐๐ ๐ท๐๐๐ข๐๐๐๐ก ๐น๐๐๐๐ข๐๐๐๐ฆ, ๐ท๐น ๐๐น ๐๐๐๐ ๐ถ๐๐ข๐๐ก ๐๐ ๐๐๐๐ก๐๐๐๐ ๐๐๐ก๐๐ ๐๐๐๐๐ ๐๐ ๐๐๐๐ก๐๐๐๐ ๐๐๐๐ก๐๐๐๐ ๐ถ๐๐ข๐๐ก ๐ค๐๐กโ ๐๐๐๐ ๐๐๐ก๐๐ ๐๐ข๐๐๐๐ ๐๐ ๐๐๐๐ก๐๐๐๐๐ ๐ผ๐๐ฃ๐๐๐ ๐ ๐ท๐๐๐ข๐๐๐๐ก ๐น๐๐๐๐ข๐๐๐๐ฆ, ๐ผ๐ท๐น ๐๐น-๐ผ๐ท๐น ๐๐๐ก๐๐ ๐๐๐๐ ๐ถ๐๐ข๐๐ก ๐๐๐ก๐๐ ๐๐ข๐๐๐๐ ๐๐ ๐ค๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐ก๐๐๐ log 1 ๐ท๐น ๐ผ๐ท๐น 7 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed ECONOMICS Reading 6: Currency Exchange Rates: Understanding Equilibrium Value Currency pair A/B B/A Bid Bid/Ask ๐ฅ ๐ฆ 1⁄๐ฆ 1⁄๐ฅ Covered Interest Rate Parity ๐น ๐น ๐ ⁄ ๐ ⁄ ๐ ⁄ 1 ๐ 1 ๐ ⁄ ⁄ ๐ด๐๐ก๐ข๐๐ 360 ๐ด๐๐ก๐ข๐๐ 360 ๐ ๐ 1 ๐ ๐ด๐๐ก๐ข๐๐ 360 ๐ด๐๐ก๐ข๐๐ 360 MarkโtoโMarket Value of a Forward Contract Original position: Long base currency d forward at forward rate ๐น , ๐น, ๐๐๐๐ข๐ ๐๐ ๐ฟ๐๐๐ ๐น๐๐๐ค๐๐๐ 1 ๐น, ⁄ ⁄ ๐ ⁄ (Offer side) ๐น, ⁄ ๐ถ๐๐๐ก๐๐๐๐ก ๐๐๐ง๐ ๐ ๐๐๐๐๐๐๐๐ ๐๐๐ฆ๐ ๐๐๐ก๐ข๐๐๐ก๐ฆ 360 Forward rate at valuation date, t (Bid side) Uncovered Interest Rate Parity ๐ธ ๐ %Δ๐ ⁄ ๐ ⁄ ๐ ๐ 1 ๐ ⁄ 1 ๐ 1 ๐ ๐ด๐๐ก๐ข๐๐ 360 ๐ด๐๐ก๐ข๐๐ 360 Absolute PPP ๐ ๐ ๐ ⁄ 8 ๐ด๐๐ก๐ข๐๐ 360 ๐ด๐๐ก๐ข๐๐ 360 ๐ ๐ ๐ด๐๐ก๐ข๐๐ 360 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Relative PPP %Δ๐ ๐ ๐ 1 ๐ %Δ๐ ⁄ ⁄ ๐ด๐๐ก๐ข๐๐ 360 ๐ด๐๐ก๐ข๐๐ 360 ๐ ๐ด๐๐ก๐ข๐๐ 360 ๐ Ex ante PPP ๐ ๐ด๐๐ก๐ข๐๐ 360 ๐ International Fisher Effect ๐ ๐ ๐ ๐ ๐ ๐ Expected inflation rate Actual inflation rate Reading 7: Economic Growth and the Investment Decision ๐ ๐บ๐ท๐ ๐ธ ๐บ๐ท๐ Return on aggregate equity market %โ๐ ๐ ๐ธ %โ๐บ๐ท๐ %โ ๐ ๐ธ ๐ธ ๐บ๐ท๐ %โ ๐ ๐ธ aggregate value of equities aggregate earnings Cobb-Douglas Production Function ๐ ๐๐พ ๐ฟ where a < 1 Y = Output ๐ผ = Share of output allocated to capital (๐พ) 1 ๐ผ = share of output allocated to labor (๐ฟ) ๐ = total factor productivity (๐๐น๐), represents technological progress of the economy ๐๐ฎ๐ญ๐ฉ๐ฎ๐ญ ๐ฉ๐๐ซ ๐ฐ๐จ๐ซ๐ค๐๐ซ ๐ ๐ฟ ๐ ๐พ ๐ฟ Marginal product of capital, MPK ๐๐๐พ ๐ผ ๐ ๐พ Amount of output that is allocated to providers of capital, a ๐๐พ ๐ผ ๐ 9 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Growth Accounting equation: โ๐ ๐ โ๐ ๐ ๐ผ โ๐พ ๐พ 1 ๐ผ โ๐ฟ ๐ฟ Growth rate in potential GDP = Long-term growth rate + Long-term growth rate of labor force in labor productivity ๐ฟ๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐ก๐๐๐๐๐๐ก๐๐๐ ๐ฟ๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐๐๐ ๐๐๐ ๐๐๐๐ข๐๐๐ก๐๐๐ Sustainable growth rate of output per capita ๐∗ ๐ 1 Sustainable growth rate of output ๐ผ ๐ ๐บ∗ 1 ๐ ๐ผ Equilibrium output-to-capital ratio (Steady state): ๐ 1 ๐ ๐ ๐พ ๐ 1 ๐ผ ๐ ๐ผ ๐ ๐ฟ ๐ ๐ฟ growth rate of TFP elasticity of output with respect to capital fraction of income (Y) that is saved rate of depreciation of physical capital stock labor supply growth %โ๐ฟ Endogeneous Growth Model Production function: ๐ฆ ๐๐ Δ๐ ๐ ๐ ๐ Growth rate of output per capita: Δ๐ฆ ๐ฆ ๐ฆ ๐ ๐ ๐ฟ ๐ output per worker capital per worker marginal product of capital in the aggregate economy (constant) 10 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed FINANCIAL REPORTING AND ANALYSIS Reading 9: Intercorporate Investments Financial Assets Amortized Cost ๐ธ๐๐๐๐๐ ๐ท๐๐๐ก ๐ผ๐๐ฃ๐๐ ๐ก๐๐๐๐ก ๐ต๐๐๐๐๐๐๐๐ ๐ท๐๐๐ก ๐ผ๐๐ฃ๐๐ ๐ก๐๐๐๐ก ๐ ๐๐๐๐๐ง๐๐ ๐บ๐๐๐ ๐๐ ๐ฟ๐๐ ๐ ๐๐๐๐๐ ๐๐๐๐๐๐๐๐ FVOCI or FVPL ๐ผ๐๐ก๐๐๐๐ ๐ก ๐ผ๐๐๐๐๐ ๐ผ๐๐ก๐๐๐๐ ๐ก ๐๐๐๐๐๐ฃ๐๐ ๐ถ๐๐๐๐ฆ๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ ๐น๐๐๐๐๐๐๐๐ ๐ด๐ ๐ ๐๐ก ๐ถโ๐๐๐๐ ๐๐ ๐น๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ ๐น๐๐๐๐๐๐๐๐ ๐ด๐ ๐ ๐๐ก ๐๐๐๐๐๐๐๐ง๐๐ ๐บ๐๐๐ ๐๐ ๐ฟ๐๐ ๐ Investments in Associates ๐ธ๐๐๐๐๐ ๐๐๐ฃ๐๐ ๐ก๐๐๐๐ก ๐๐ ๐๐ ๐ ๐๐๐๐๐ก๐๐ ๐ต๐๐๐๐๐๐๐๐ ๐๐๐ฃ๐๐ ๐ก๐๐๐๐ก ๐๐ ๐๐ ๐ ๐๐๐๐๐ก๐๐ ๐โ๐๐๐ ๐๐ ๐๐๐ก ๐๐๐๐๐๐ Impact on Investor’s Income Statement ๐ด๐๐๐๐ก๐๐ง๐๐ก๐๐๐ ๐๐ ๐๐ฅ๐๐๐ ๐ ๐โ๐๐๐ ๐๐ ๐๐ข๐๐โ๐๐ ๐ ๐๐๐๐๐ ๐๐๐ก ๐๐๐๐๐๐ ๐โ๐๐๐ ๐๐ ๐๐๐ฃ๐๐๐๐๐ ๐๐๐๐๐๐ฃ๐๐ ๐ด๐๐๐๐ก๐๐ง๐๐ก๐๐๐ ๐๐ ๐๐ฅ๐๐๐ ๐ ๐๐ข๐๐โ๐๐ ๐ ๐๐๐๐๐ ๐โ๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐ง๐๐ ๐๐๐๐๐๐ก ๐๐๐๐ ๐๐๐ค๐๐ ๐ก๐๐๐๐ ๐๐ ๐ข๐๐ ๐ก๐๐๐๐ ๐ ๐๐๐ Acquisition Method Excess purchase price = Acquisition price – %Ownership × Book value of net identifiable assets Partial Goodwill = Acquisition price – (%Ownership × Fair value of net identifiable assets) = Acquisition price – %Ownership × Book value of identifiable net assets – %Ownership × Excess purchase price attributable to net identifiable assets ๐๐๐ ๐๐๐๐ก๐๐๐๐๐๐๐ ๐๐๐ก๐๐๐๐ ๐ก %๐๐ถ๐ผ ๐น๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐๐๐ก๐๐๐๐๐๐๐ ๐๐๐ก ๐๐ ๐ ๐๐ก๐ Full Goodwill = Fair value of entity – Fair value of net identifiable assets ๐๐๐ ๐๐๐๐ก๐๐๐๐๐๐๐ ๐๐๐ก๐๐๐๐ ๐ก IFRS ๐ผ๐๐๐๐๐๐๐๐๐ก ๐๐๐ ๐ %๐๐ถ๐ผ ๐น๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐ก๐๐ก๐ฆ ๐ถ๐๐๐๐ฆ๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐ โ ๐๐๐๐๐๐๐ก๐๐๐ ๐ข๐๐๐ก ๐ ๐๐๐๐ฃ๐๐๐๐๐๐ ๐๐๐๐ข๐๐ก ๐๐ ๐๐๐ โ ๐๐๐๐๐๐๐ก๐๐๐ ๐ข๐๐๐ก 11 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed US GAAP ๐ผ๐๐๐๐๐๐ ๐น๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐๐๐ค๐๐๐ ๐๐๐๐๐๐ก๐๐๐ ๐ข๐๐๐ก ๐ผ๐๐๐๐๐๐๐๐๐ก ๐๐๐ ๐ ๐น๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐๐๐๐ก๐๐๐ ๐ข๐๐๐ก′๐ ๐๐๐๐๐ก๐๐๐๐๐๐๐ ๐๐๐ก ๐๐ ๐ ๐๐ก๐ ๐ถ๐๐๐๐ฆ๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐๐๐ค๐๐๐ ๐ผ๐๐๐๐๐๐ ๐๐๐๐๐ค๐๐๐ Reading 10: Employee Compensation - Post-Employment and Share-Based ๐น๐ข๐๐๐๐ ๐ ๐ก๐๐ก๐ข๐ ๐น๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐๐ ๐๐ ๐ ๐๐ก๐ ๐๐๐ก ๐๐๐๐ ๐๐๐ ๐ด๐ ๐ ๐๐ก ๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐๐๐ ๐๐๐ ๐ก ๐๐๐ ๐๐๐ ๐๐ก๐๐ฃ๐ ๐น๐ข๐๐๐๐ ๐๐ก๐๐ก๐ข๐ , ๐ด๐ ๐ ๐๐ก ๐ถ๐๐๐๐๐๐ ๐ฉ๐๐๐๐๐๐๐๐ ๐ฌ๐๐ ๐๐๐ ๐ธ๐๐๐๐๐ฆ๐๐ ๐๐ข๐๐๐๐ ๐ ๐ก๐๐ก๐ข๐ ๐๐ข๐๐๐๐ ๐ ๐ก๐๐ก๐ข๐ ๐๐๐๐ก๐๐๐๐ข๐ก๐๐๐๐ ๐๐๐ ๐ก ๐ถ๐ข๐๐๐๐๐ก ๐ผ๐๐ก๐๐๐๐ ๐ก ๐ด๐๐ก๐ข๐๐ ๐๐๐ก๐ข๐๐ ๐๐ ๐ด๐๐ก๐ข๐๐๐๐๐ ๐ ๐๐๐ฃ๐๐๐ ๐๐ฅ๐๐๐๐ ๐ ๐ ๐๐๐ฃ๐๐๐ ๐๐๐ ๐ ๐๐๐๐ ๐๐๐๐ ๐๐ ๐ ๐๐ก๐ ๐๐๐ ๐ก๐ ๐๐๐ ๐ก๐ ๐ต๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐ก ๐๐๐๐๐๐๐ก๐๐๐ ๐ธ๐๐๐๐๐ ๐๐๐๐๐๐๐ก ๐๐๐๐๐๐๐ก๐๐๐ ๐ธ๐๐๐๐๐ ๐๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐๐ ๐๐ ๐ ๐๐ก๐ ๐๐ ๐๐ ๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐ก ๐๐๐๐๐๐๐ก๐๐๐ ๐๐๐๐ฃ๐๐๐ ๐๐๐ ๐ก ๐ต๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐๐ ๐๐ ๐ ๐๐ก๐ ๐ต๐๐๐๐๐๐ก๐ ๐๐๐๐ ๐ผ๐๐ก๐๐๐๐ ๐ก ๐๐๐ ๐ก ๐ด๐๐ก๐ข๐๐ ๐๐๐ก๐ข๐๐ ๐๐ ๐๐๐๐ ๐๐ ๐ ๐๐ก๐ ๐ด๐๐ก๐ข๐๐๐๐๐ ๐๐๐ ๐ / ๐๐๐๐ ๐ธ๐๐๐๐๐ฆ๐๐′๐ ๐๐๐๐ก๐๐๐๐ข๐ก๐๐๐ ๐ต๐๐๐๐๐๐ก๐ ๐๐๐๐ IFRS ๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐๐๐ ๐๐๐ ๐ก ๐๐ ๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐๐ก ๐๐๐ก๐๐๐๐ ๐ก ๐๐ฅ๐๐๐๐ ๐⁄ ๐๐๐๐๐๐ ๐ถ๐ข๐๐๐๐๐ก ๐ ๐๐๐ฃ๐๐๐ ๐๐๐ ๐ก๐ ๐ท๐๐ ๐๐๐ข๐๐ก ๐๐๐ก๐ ๐๐๐ ๐ก ๐ ๐๐๐ฃ๐๐๐ ๐๐๐ ๐ก๐ ๐ต๐๐๐๐๐๐๐๐ ๐๐ต๐ ๐๐๐ก ๐๐๐ก๐๐๐๐ ๐ก ๐๐ฅ๐๐๐๐ ๐/ ๐๐๐๐๐๐ ๐ต๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐ด๐ ๐ ๐๐ก๐ US GAAP ๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐๐๐ ๐๐๐ ๐ก ๐๐ ๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐ ๐ผ๐๐ก๐๐๐๐ ๐ก ๐๐ฅ๐๐๐๐ ๐ ๐ท๐๐ ๐๐๐ข๐๐ก ๐๐๐ก๐ ๐ธ๐ฅ๐๐๐๐ก๐๐ ๐๐๐ก๐ข๐๐ ๐๐ ๐๐๐๐ ๐๐ ๐ ๐๐ก๐ ๐ถ๐ข๐๐๐๐๐ก ๐ด๐๐๐๐ก๐๐ง๐๐ ๐๐๐ ๐ก ๐ผ๐๐ก๐๐๐๐ ๐ก ๐๐ฅ๐๐๐๐ ๐ ๐ ๐๐๐ฃ๐๐๐ ๐๐๐ ๐ก๐ ๐ ๐๐๐ฃ๐๐๐ ๐๐๐ ๐ก๐ ๐ธ๐ฅ๐๐๐๐ก๐๐ ๐๐๐ก๐ข๐๐ ๐ด๐๐๐๐ก๐๐ง๐๐ ๐ด๐๐ก๐ข๐๐๐๐๐ ๐๐๐ ๐ / ๐๐๐๐ ๐๐ ๐๐๐๐ ๐๐ ๐ ๐๐ก๐ ๐ต๐๐๐๐๐๐๐๐ ๐๐ต๐ ๐ธ๐ฅ๐๐๐๐ก๐๐ ๐๐๐ก๐ ๐๐ ๐๐๐ก๐ข๐๐ ๐ต๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐ด๐ ๐ ๐๐ก๐ 12 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Reading 12: Analysis of Financial Institutions ๐ถ๐๐๐๐๐ ๐ธ๐๐ข๐๐ก๐ฆ ๐๐๐๐ 1 ๐ถ๐๐๐๐ก๐๐ ๐๐๐ก๐๐ ๐๐๐๐ 1 ๐ถ๐๐๐๐ก๐๐ ๐๐๐ก๐๐ ๐ ๐๐๐ข๐๐๐ก๐๐๐ฆ ๐ถ๐๐๐๐ก๐๐ ๐๐๐ก๐๐ ๐๐๐๐ 1 ๐ถ๐๐๐๐ก๐๐ ๐ ๐๐ ๐ ๐๐๐๐โ๐ก๐๐ ๐ด๐ ๐ ๐๐ก๐ ๐๐๐ก๐๐ ๐ถ๐๐๐๐ก๐๐ ๐ ๐๐ก๐๐ ๐๐๐ก๐๐ ๐๐๐๐ 2 ๐ถ๐๐๐๐ก๐๐ ๐ถ๐๐๐๐๐ ๐ธ๐๐ข๐๐ก๐ฆ ๐๐๐๐ 1 ๐ถ๐๐๐๐ก๐๐ ๐ ๐๐ ๐ ๐๐๐๐โ๐ก๐๐ ๐ด๐ ๐ ๐๐ก๐ ๐ถ๐๐๐๐๐ ๐ธ๐๐ข๐๐ก๐ฆ ๐๐๐๐ 1 ๐ ๐๐ก๐๐ ๐๐๐๐ 1 ๐ ๐๐ก๐๐ ๐๐๐ก๐๐ ๐๐๐๐ 1 ๐ถ๐๐๐๐ก๐๐ ๐ด๐๐๐๐ก๐๐๐๐๐ ๐๐๐๐ 1 ๐ถ๐๐๐๐ก๐๐ 6.0% ๐๐๐ก๐๐ ๐ ๐๐๐ข๐๐๐ก๐๐๐ฆ ๐ถ๐๐๐๐ก๐๐ ๐ ๐๐ ๐ ๐๐๐๐โ๐ก๐๐ ๐ด๐ ๐ ๐๐ก๐ ๐ฟ๐๐๐ข๐๐๐๐ก๐ฆ ๐ถ๐๐ฃ๐๐๐๐๐ ๐ ๐๐ก๐๐, ๐ฟ๐ถ๐ 4.5% 8.0% ๐ป๐๐โ ๐๐ข๐๐๐๐ก๐ฆ ๐ฟ๐๐๐ข๐๐ ๐ด๐ ๐ ๐๐ก๐ ๐ธ๐ฅ๐๐๐๐ก๐๐ ๐๐๐ โ ๐๐ข๐ก๐๐๐๐ค๐ Bank can withstand a stress level volume of cash outflows for (๐ฟ๐ถ๐ ๐๐๐ก ๐๐ก๐๐๐๐ ๐น๐ข๐๐๐๐๐ ๐ ๐๐ก๐๐, ๐๐๐น๐ 30 days. ๐ด๐ฃ๐๐๐๐๐๐๐ ๐๐ก๐๐๐๐ ๐น๐ข๐๐๐๐๐ ๐ ๐๐๐ข๐๐๐๐ ๐๐ก๐๐๐๐ ๐น๐ข๐๐๐๐๐ Property and Casualty Companies ๐ฟ๐๐ ๐ ๐๐๐ ๐๐๐ ๐ ๐๐๐๐ข๐ ๐ก๐๐๐๐ก ๐๐ฅ๐๐๐๐ ๐ ๐๐๐ก๐๐ ๐๐๐๐๐๐ค๐๐๐ก๐๐๐ ๐๐ฅ๐๐๐๐ ๐ ๐๐๐ก๐๐ ๐ถ๐๐๐๐๐๐๐ ๐๐๐ก๐๐ ๐ฟ๐๐ ๐ ๐๐ฅ๐๐๐๐ ๐ ๐ฟ๐๐ ๐ ๐๐๐๐ข๐ ๐ก๐๐๐๐ก ๐๐ฅ๐๐๐๐ ๐ ๐๐๐ก ๐๐๐๐๐๐ข๐๐ ๐๐๐๐๐๐ ๐๐๐๐๐๐ค๐๐๐ก๐๐๐ ๐๐ฅ๐๐๐๐ ๐ ๐๐๐ก ๐๐๐๐๐๐ข๐๐ ๐ค๐๐๐ก๐ก๐๐ ๐ฟ๐๐ ๐ ๐๐๐ ๐๐๐ ๐ ๐๐๐๐ข๐ ๐ก๐๐๐๐ก ๐๐ฅ๐๐๐๐ ๐ ๐๐๐ก๐๐ ๐ท๐๐ฃ๐๐๐๐๐๐ ๐ก๐ ๐๐๐๐๐๐ฆโ๐๐๐๐๐๐ ๐ โ๐๐๐โ๐๐๐๐๐๐ ๐๐๐ก๐๐ ๐ถ๐๐๐๐๐๐๐ ๐๐๐ก๐๐ ๐๐๐๐๐ ๐ ๐๐๐๐ ๐๐๐ ๐ ๐๐๐๐๐๐ค๐๐๐ก๐๐๐ ๐๐ฅ๐๐๐๐ ๐ ๐๐๐ก๐๐ ๐ท๐๐ฃ๐๐๐๐๐๐ ๐ก๐ ๐๐๐๐๐๐ฆโ๐๐๐๐๐๐ ๐ โ๐๐๐โ๐๐๐๐๐๐ ๐๐๐ก ๐๐๐๐๐๐ข๐๐ ๐๐๐๐๐๐ ๐ถ๐๐๐๐๐๐๐ ๐๐๐ก๐๐ ๐ท๐๐ฃ๐๐๐๐๐๐ ๐ก๐ ๐๐๐๐๐๐ฆโ๐๐๐๐๐๐ ๐ โ๐๐๐โ๐๐๐๐๐๐ ๐๐๐ก๐๐ 13 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Reading 13: Evaluating Quality of Financial Reports Beneish Model ๐-๐ ๐๐๐๐ – 4.84 0.920 ๐ท๐๐ 0.528 ๐บ๐๐ผ 0.404 ๐ด๐๐ผ 0.892 ๐๐บ๐ผ 0.115 ๐ท๐ธ๐๐ผ – 0.172 ๐๐บ๐ด๐ผ 4.670 ๐ด๐๐๐๐ข๐๐๐ – 0.327 ๐ฟ๐ธ๐๐ผ DSR day sales receivable index GMI gross margin index AQI asset quality index SGI sales growth index DEPI depreciation index ๐ ๐๐๐๐๐ฃ๐๐๐๐๐ ⁄๐๐๐๐๐ ๐ ๐๐๐๐๐ฃ๐๐๐๐๐ ⁄๐๐๐๐๐ ๐บ๐ ๐บ๐ ๐ถ๐ด /๐๐ด 1 ๐๐๐ธ 1 ๐๐๐ธ ๐ถ๐ด /๐๐ด ๐๐๐๐๐ ๐๐๐๐๐ ๐ท๐๐๐๐๐๐๐๐ก๐๐๐ ๐ท๐๐๐๐๐๐๐๐ก๐๐๐ ๐๐บ๐ด /๐๐๐๐๐ ๐๐บ๐ด /๐๐๐๐๐ ๐ถ๐๐ โ ๐๐๐๐ ๐๐๐๐๐๐ก๐๐๐๐ SGAI sales, general, and administrative expenses index ๐ผ๐๐๐๐๐ ๐๐๐๐๐๐ ๐๐ฅ๐ก๐๐๐๐๐๐๐๐๐๐ฆ ๐๐ก๐๐๐ ๐๐๐ก๐๐ ๐๐ ๐ ๐๐ก๐ ๐ฟ๐๐ฃ๐๐๐๐๐ LEVI leverage index ๐ฟ๐๐ฃ๐๐๐๐๐ Accruals Reading 14: Integration of Financial Statement Analysis Techniques ๐๐๐ก ๐๐๐๐๐๐ก๐๐๐ ๐ด๐ ๐ ๐๐ก๐ ๐๐๐ด ๐๐๐๐๐๐ก๐๐๐ ๐๐๐๐๐๐ก๐๐๐ ๐ด๐ ๐ ๐๐ก๐ ๐ฟ๐๐๐๐๐๐๐ก๐๐๐ ๐๐๐ก๐๐ ๐ถ๐๐ โ ๐๐๐ ๐ด๐ ๐ ๐๐ก๐ ๐โ๐๐๐ก-๐ก๐๐๐ ๐ผ๐๐ฃ๐๐ ๐ก๐๐๐๐ก๐ ๐ต๐๐๐๐๐๐-๐ โ๐๐๐ก-๐๐๐ ๐๐ ๐๐๐๐๐ข๐๐๐ ๐๐๐ก๐๐ ๐ถ๐๐ โ-๐๐๐๐ค-๐๐๐ ๐๐ ๐๐๐๐๐ข๐๐๐ ๐๐๐ก๐๐ ๐๐๐ด ๐๐๐ด ๐๐๐ด ๐๐๐ด ⁄2 ๐ถ๐น๐ ๐ถ๐น๐ผ ๐๐ผ ⁄2 ๐๐๐ด ๐๐๐ด Cash-flow-based accruals = NI – (CFO + CFI) Cash-flow-based accruals ratio NI – (CFO + CFI) ๐ด๐ฃ๐๐๐๐๐ ๐๐๐ด 14 ๐๐๐ก๐๐ ๐ฟ๐๐๐๐๐๐๐ก๐๐๐ ๐๐๐ก๐๐ ๐ท๐๐๐ก Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed CORPORATE FINANCE Reading 15: Capital Structure Weighted average cost of capital, ๐ ๐ท ๐ 1 ๐ ๐ Value of levered firm, ๐ ๐ ๐ ๐ธ ๐ ๐ ๐ ๐ท Cost of equity, ๐ ๐ ๐ฝ ๐ 1 ๐ ๐ ๐ ๐ฝ ๐ฝ ๐ฝ 1 ๐ ๐ธ๐ต๐ผ๐ 1 ๐ ๐ ๐ ๐ท ๐ธ ๐ ๐ท ๐ธ ๐ท ๐ธ ๐ ๐ท ๐ ๐ ๐ท ๐๐ ๐ถ๐๐ ๐ก ๐๐ ๐น๐๐๐๐๐๐๐๐ ๐ท๐๐ ๐ก๐๐๐ ๐ ๐ธ๐ต๐ผ๐ ๐ ๐ท 1 ๐ ๐ Static Trade-off Theory: ๐ ๐ ๐ ๐ Cost of debt (pre-tax) Cost of of an all-equity firm Reading 16: Dividends and Share Repurchases Analysis Target payout adjustment model (Lintner model) ๐ธ๐ฅ๐๐๐๐ก๐๐ ๐๐๐๐๐๐ก ๐๐๐ฆ๐๐ข๐ก ๐ธ๐ฅ๐๐๐๐ก๐๐ ๐ฟ๐๐ ๐ก ๐ธ๐๐๐๐๐๐๐ ๐๐๐ก๐๐ ๐๐๐ฃ๐๐๐๐๐ ๐๐๐ฃ๐๐๐๐๐ ๐ด๐๐๐ข๐ ๐ก๐๐๐๐ก ๐๐๐๐ก๐๐ ๐ฟ๐๐ ๐ก ๐๐๐ฃ๐๐๐๐๐ ๐ด๐๐๐ข๐ ๐ก๐๐๐๐ก ๐๐๐๐ก๐๐ 1 ๐๐ข๐๐๐๐ ๐๐ ๐ฆ๐๐๐๐ ๐๐๐ ๐๐๐๐ข๐ ๐ก๐๐๐๐ก ๐ก๐ ๐ก๐๐๐ ๐๐๐๐๐ Constant dividend payout ratio policy ๐ท๐๐ฃ๐๐๐๐๐ ๐ท๐๐ฃ๐๐๐๐๐ ๐๐๐ฆ๐๐ข๐ก ๐๐๐ก๐๐ 15 ๐ถ๐ข๐๐๐๐๐ก ๐๐๐๐๐๐๐๐ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Share Repurchase ๐ธ๐๐ ๐๐๐ก๐๐ ๐๐ข๐ฆ๐๐๐๐ ๐ต๐๐๐ ๐๐๐ก๐๐ ๐๐ข๐ฆ๐๐๐๐ ๐ธ๐๐๐๐๐๐๐ ๐ด๐๐ก๐๐ ๐ก๐๐ฅ ๐๐๐ ๐ก ๐๐ ๐๐ข๐๐๐ ๐โ๐๐๐๐ ๐๐ข๐ก๐ ๐ก๐๐๐๐๐๐ ๐๐๐ก๐๐ ๐๐ข๐ฆ๐๐๐๐ ๐ต๐๐๐ ๐๐๐๐ข๐ ๐๐๐๐ข๐ ๐๐ ๐ โ๐๐๐ ๐๐ข๐ฆ๐๐๐๐ ๐โ๐๐๐๐ ๐๐ข๐ก๐ ๐ก๐๐๐๐๐๐ ๐๐๐ก๐๐ ๐๐ข๐ฆ๐๐๐๐ Analysis of Dividend Safety ๐ท๐๐ฃ๐๐๐๐๐ ๐๐๐ฆ๐๐ข๐ก ๐๐๐ก๐๐ ๐ท๐๐ฃ๐๐๐๐๐๐ ๐๐๐ก ๐ผ๐๐๐๐๐ ๐ท๐๐ฃ๐๐๐๐๐ ๐๐๐ฃ๐๐๐๐๐ ๐๐๐ก๐๐ ๐น๐ถ๐น๐ธ ๐๐๐ฃ๐๐๐๐๐ ๐๐๐ก๐๐ ๐ท๐๐ฃ๐๐๐๐๐๐ ๐๐๐ก ๐ผ๐๐๐๐๐ ๐ท๐๐ฃ๐๐๐๐๐๐ ๐น๐ถ๐น๐ธ ๐โ๐๐๐ ๐๐๐๐ข๐๐โ๐๐ ๐๐ Reading 18: Mergers and Acquisitions If acquirer pays using shares: ๐ด๐๐๐ข๐๐๐๐ ๐ ๐ถ๐๐ ๐ก ๐ธ๐ฅ๐โ๐๐๐๐ ๐๐๐ก๐๐ ๐๐ข๐๐๐๐ ๐๐ ๐๐ข๐ก๐ ๐ก๐๐๐๐๐๐ ๐ โ๐๐๐๐ ๐๐ ๐ก๐๐๐๐๐ก ๐๐๐๐๐๐๐ฆ Comparable Company Analysis ๐๐๐๐๐๐ฃ๐๐ ๐๐๐๐๐๐ข๐, ๐๐ ๐ ๐ท๐ ๐๐ ๐๐๐๐ข๐ ๐๐ ๐ ๐ก๐๐๐ ๐๐๐ฃ๐๐ ๐ก๐ ๐ก๐๐๐๐๐ก ๐ โ๐๐๐โ๐๐๐๐๐๐ ๐ท๐ ๐๐ ๐๐ Deal price per share of the target company Stock price of the target company Bid Evaluation Target shareholders’ gain = Premium = PT – VT Acquirer’s gain = Synergies – Premium = S – (PT – VT) VA* = VA + VT + S – C where: PT = price paid for the target company VT = pre-merger value of the target company VA* = post-merger value of the combined companies VA = pre-merger value of the acquirer S = synergies created by the business combination C = cash paid to target shareholders 16 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Reading 19: Capital Budgeting Initial Outlay = FCInv + WCInv – Sal0 + T(Sal0 – B0) Annual after-tax operating cash flows, ATOCF ๐ด๐๐๐ถ๐น ๐ ๐ถ ๐ท๐๐ 1 ๐ด๐๐๐ถ๐น ๐ ๐ถ 1 ๐ ๐ ๐ Terminal year after-tax non-operating cash flow, TNOCF ๐๐๐๐ถ๐น ๐๐๐ ๐๐ถ๐ผ๐๐ฃ ๐ ๐๐๐ ๐ท๐๐ ๐ท๐๐ ๐ต ๐น๐ถ๐ผ๐๐ฃ Fixed capital investment (include equipment cost, delivery and installation cost) ๐๐ถ๐ผ๐๐ฃ Working capital investment Sales proceeds of old equipment (Replacement project) ๐๐๐ Net book value of old equipment ๐ต ๐ Marginal tax rate (1 + Nominal rate) = (1 + Real rate)(1 + Inflation rate) Equivalent Annual Annuity (EAA) [PV] = -Project NPV [I/Y] = Project’s discount rate [N] = Project life [FV] = 0 [CPT] [PMT] EAA ๐๐๐๐๐๐๐ก ๐๐๐ ๐ค๐๐กโ ๐๐๐๐ ๐๐๐ก๐๐๐ ๐๐๐ ๐๐ ๐๐๐๐ ๐๐๐ก๐๐๐ 17 ๐ถ๐๐ ๐ก ๐๐ ๐๐๐๐ ๐๐๐ก๐๐๐ ๐๐๐๐ข๐ ๐๐ ๐๐๐๐ ๐๐๐ก๐๐๐ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed EQUITY VALUATION Reading 20: Equity Valuation Applications and Processes VE – P = (V – P) + (VE – V) where: VE = Estimated intrinsic value P = Market price V = Intrinsic value Conglomerate discount = Sum-of-the-parts value – Market value Reading 21: Return Concepts ๐ธ๐ฅ๐๐๐๐ก๐๐ ๐๐๐ก๐ข๐๐ ๐ ๐๐๐ข๐๐๐๐ ๐๐๐ก๐ข๐๐ ๐ ๐ ๐ V0 = true intrinsic value Equity risk premium, ๐ธ๐ ๐ ๐ ๐๐๐ข๐๐๐๐ ๐๐๐ก๐ข๐๐ ๐๐ ๐๐๐ข๐๐ก๐ฆ ๐๐๐๐๐ฅ Gordon Growth model: ๐ท ๐ ๐ ๐ 1 โ๐๐ธ 1 ๐ฝ ๐ธ ๐ ๐ ๐ธ๐๐ข๐๐ก๐ฆ ๐๐๐ ๐ ๐๐๐๐๐๐ข๐ Ibbotson-Chen model: ๐ธ๐๐ข๐๐ก๐ฆ ๐๐๐ ๐ ๐๐๐๐๐๐ข๐ 1 ๐ 1 ๐ ๐ ๐๐ ๐ ๐๐๐๐ ๐๐๐ก๐ ๐ ๐ expected inflation expected real growth in EPS ๐ โ๐๐ธ expected changes in the P/E ratio Y = expected yield on the index ๐ = expected risk-free rate CAPM: ๐ธ ๐ where: ๐ ๐ฝ ๐ธ ๐ ๐ Risk-free rate (tenor matches investment horizon) Beta of security ๐ (Systematic risk) ๐ Equity risk premium (or Market risk premium) 18 ๐ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Fama-French Model Required return on stock =๐ +๐ฝ , ๐ , ๐ +๐ฝ Pastor-Stambaugh Model Required return on stock ๐ + ๐ฝ =๐ +๐ฝ , ๐ , +๐ฝ ๐ ๐ ๐ ๐ ๐ ๐ ๐ , , ๐ ๐ +๐ฝ ๐ ๐ + ๐ฝ ๐ , , ๐ ๐ ๐ 1-month T-bill rate (for Fama-French and Pastor-Stambaugh models only) ๐ return on value-weighted market index minus risk-free rate ๐ small-cap return premium (๐ ๐ ) ๐ value return premium (๐ ๐ ) ๐ liquidity premium (๐ ๐ Build-up Method: ๐ ๐๐๐ข๐๐๐๐ ๐ ๐๐ก๐ข๐๐ ๐ ๐ธ๐๐ข๐๐ก๐ฆ ๐๐๐ ๐ ๐๐๐๐๐๐ข๐ ๐๐๐ง๐ ๐๐๐๐๐๐ข๐ ๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐ฆ ๐๐๐๐๐๐ข๐ Bond-Yield-Plus-Risk-Premium Method: Required Return = YTM of company’s long-term debt + Risk premium Blume’s Adjustment for Regression Beta: 2 ๐ด๐๐๐ข๐ ๐ก๐๐ ๐๐๐ก๐ 3 Company 1 3 ๐ ๐๐๐๐๐ ๐ ๐๐๐ ๐๐๐ก๐ Equity Beta, ๐ท๐ณ (Levered beta) Debt-to-Equity ratio ๐ท ๐ธ ๐ท ๐ธ ๐ฝ (given) Benchmark public company (X) ๐ฝ Nonpublic company (Y) Unlevered beta Asset beta of public company, ๐ฝ Levered beta Equity beta of nonpublic company, ๐ฝ 19 ? ๐ฝ ๐ท ๐ธ 1 ๐ฝ 1 1 ๐ก ๐ท ๐ธ 1 ๐ก Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Country Spread Model ๐ธ๐๐ข๐๐ก๐ฆ ๐๐๐ ๐ ๐๐๐๐๐๐ข๐ ๐๐๐ ๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐ก ๐ธ๐๐ข๐๐ก๐ฆ ๐๐๐ ๐ ๐๐๐๐๐๐ข๐ ๐๐๐ ๐๐๐ฃ๐๐๐๐๐๐ ๐๐๐๐๐๐ก ๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐ก ๐๐๐๐ ๐๐ ๐๐ข๐๐๐๐๐๐ฆ ๐๐ ๐๐๐ฃ๐๐๐๐๐๐ ๐๐๐๐๐๐ก ๐ถ๐๐ข๐๐ก๐๐ฆ ๐๐๐๐๐๐ข๐ ๐ถ๐๐ข๐๐ก๐๐ฆ ๐๐๐๐๐๐ข๐ ๐๐๐ ๐๐ ๐๐๐ฃ๐๐๐๐๐๐ ๐๐๐๐๐๐ก ๐๐๐ฃ๐๐๐๐๐๐๐ก ๐๐๐๐ Reading 22: Industry and Company Analysis ๐๐๐๐ฟ๐ด๐ ๐ผ๐๐ฃ๐๐ ๐ก๐๐ ๐ถ๐๐๐๐ก๐๐ Return on invested capital ROIC ๐๐๐๐ฟ๐ด๐ Net operating profit less adjusted taxes ๐ผ๐๐ฃ๐๐ ๐ก๐๐ ๐ถ๐๐๐๐ก๐๐ ๐๐๐๐๐๐ก๐๐๐ ๐๐ ๐ ๐๐ก๐ ๐๐๐๐๐๐ก๐๐๐ ๐๐๐๐๐๐๐๐ก๐๐๐ Return on capital employed ROCE ๐ธ๐ต๐ผ๐ ๐ถ๐๐๐๐ก๐๐ ๐๐๐๐๐๐ฆ๐๐ Reading 23: Discounted Dividend Valuation Discounted Dividend Valuation ๐ถ๐น 1 ๐ ๐ ๐ ๐ท 1 ๐ท ๐ 1 ๐ โฏ ๐ท 1 ๐ ๐ 1 ๐ Gordon Growth Model ๐ท ๐ท 1 ๐ ๐ ๐ ๐ ๐ ๐ Fixed-rate perpetual preferred stock ๐ท ๐ ๐ Value of stock = Value of a company + Present value of with zero-growth growth opportunities (PVGO) ๐ธ ๐ ๐๐๐บ๐ ๐ ๐ ๐ธ ๐ ๐ธ 1 ๐ ๐๐๐บ๐ ๐ธ 20 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed If dividend and earnings growth rate is constant, ๐ท ๐ ๐ ๐ Two-Stage Dividend Discount Model ๐ท 1 ๐ 1 ๐ ๐ ๐ท 1 ๐ 1 ๐ 1 ๐ ๐ ๐ The H-Model ๐ ๐ป ๐ท 1 ๐ท๐ป ๐ ๐ ๐ ๐ ๐ half-life in years of the high-growth period Sustainable growth rate, ๐ PRAT model ๐ ๐ ๐๐ผ ๐ ๐๐ธ ๐ท๐๐ฃ๐๐๐๐๐๐ ๐๐ผ ๐๐ผ ๐๐๐๐๐ ๐๐๐๐๐ ๐๐ด ๐๐ด ๐๐ธ Reading 24: Free Cash Flow Valuation Free Cash Flow to the Firm (FCFF) Valuation Approach ๐น๐ถ๐น๐น 1 ๐๐ด๐ถ๐ถ ๐น๐๐๐ ๐๐๐๐ข๐ Equity Value = Firm Value – Market Value of Debt FCFE Valuation Approach ๐น๐ถ๐น๐ธ 1 ๐ ๐ธ๐๐ข๐๐ก๐ฆ ๐๐๐๐ข๐ Single-Stage (Constant Growth) FCFF and FCFE Model FCFF Valuation Approach ๐น๐๐๐ ๐๐๐๐ข๐ FCFE Valuation Approach ๐ธ๐๐ข๐๐ก๐ฆ ๐๐๐๐ข๐ ๐น๐ถ๐น๐น ๐๐ด๐ถ๐ถ ๐ ๐น๐ถ๐น๐ธ ๐ ๐ 21 ๐น๐ถ๐น๐น 1 ๐ ๐๐ด๐ถ๐ถ ๐ ๐น๐ถ๐น๐ธ 1 ๐ ๐ ๐ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Free cash flow to the Firm, FCFF FCFF = NI + NCC + Int(1 – Tax Rate) – FCInv – WCInv = CFO + Int(1 – Tax Rate) – FCInv = EBIT(1 – Tax Rate) + Dep – FCInv – WCInv = EBITDA(1 – Tax Rate) + Dep(Tax Rate) – FCInv – WCInv where: NI = Net income available to common shareholders NCC = Net noncash charges (e.g. depreciation) Int = Interest expense FCInv = Investment in fixed capital = Maintenance Capex + Growth Capex Δ๐บ๐๐๐ ๐ ๐๐๐ธ Δ๐๐๐ก ๐๐๐ธ ๐ท๐๐๐๐๐๐๐๐ก๐๐๐ WCInv = Investment in working capital Free cash flow to the Equity, FCFE FCFE = FCFF – Int(1 – Tax Rate) + Net borrowing = CFO – FCInv + Net borrowing where: Net borrowing = Debt issued – Debt repaid If (FCInv – Dep) and WCInv funded using Debt (based on debt ratio): FCFE = NI + Dep – FCInv – WCInv + Net borrowing where: Net borrowing = DR(FCInv – Dep) + DR(WCInv) ๐ท๐๐๐ก ๐ท๐ ๐ท๐๐๐ก ๐๐๐ก๐๐ ๐ด๐ ๐ ๐๐ก๐ If company issues preferred shares: FCFF = CFO + Int(1 – Tax Rate) + Preferred dividends – FCInv Two-Stage Free Cash Flow Models ๐น๐๐๐ ๐ฃ๐๐๐ข๐ ๐น๐ถ๐น๐น ๐๐ด๐ถ๐ถ ๐น๐ถ๐น๐น 1 ๐๐ด๐ถ๐ถ ๐ธ๐๐ข๐๐ก๐ฆ ๐ฃ๐๐๐ข๐ ๐น๐ถ๐น๐ธ 1 ๐ 22 ๐น๐ถ๐น๐ธ ๐ ๐ ๐ 1 ๐๐ด๐ถ๐ถ 1 1 1 ๐ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Value of Firm = Value of operating assets + Value of nonoperating assets Reading 25: Market-Based Valuation Price and Enterprise Value Multiples Enterprise value, EV = Market value of common stock + Market value of preferred equity + market value of debt + minority interest – cash and investments Trailing P/E Leading P/E P/B Actual ๐๐๐๐๐๐ก ๐๐๐๐๐ ๐๐๐ ๐ โ๐๐๐ ๐ธ๐๐ ๐๐ฃ๐๐ ๐๐๐๐ฃ๐๐๐ข๐ 12 ๐๐๐๐กโ๐ ๐๐๐๐๐๐ก ๐๐๐๐๐ ๐๐๐ ๐ โ๐๐๐ ๐น๐๐๐๐๐๐ ๐ก๐๐ ๐ธ๐๐ ๐๐ฃ๐๐ ๐๐๐ฅ๐ก 12 ๐๐๐๐กโ๐ ๐๐๐๐๐๐ก ๐๐๐๐๐ ๐๐๐ ๐ โ๐๐๐ ๐ต๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐๐ ๐ โ๐๐๐ ๐๐๐๐๐๐ก ๐๐๐๐๐ ๐๐๐ ๐ โ๐๐๐ ๐๐๐๐๐ ๐๐๐ ๐ โ๐๐๐ P/S ๐ ๐ Or ๐ ๐ Trailing D/P Leading D/P Earnings yield Justified ๐ 1 ๐ ๐ ๐ 1 ๐ ๐ ๐ ๐ ๐๐ธ ๐ ๐ ๐ ๐ธ 1 ๐ 1 ๐ ๐ ๐ ๐ 1 4 ๐๐๐ ๐ก ๐๐๐๐๐๐ก ๐๐ข๐๐๐ก๐๐๐๐ฆ ๐๐๐ฃ๐๐๐๐๐ ๐๐๐๐๐๐ก ๐๐๐๐๐ ๐๐๐ ๐ โ๐๐๐ ๐น๐๐๐๐๐๐ ๐ก๐๐ ๐๐๐ฃ๐๐๐๐๐๐ ๐๐ฃ๐๐ ๐๐๐ฅ๐ก ๐๐๐ข๐ ๐๐ข๐๐๐ก๐๐๐ ๐๐๐๐๐๐ก ๐๐๐๐๐ ๐๐๐ ๐ โ๐๐๐ ๐ธ๐๐ ๐๐๐๐๐ ๐๐๐ ๐ โ๐๐๐ 1 Underlying Earnings = EPS – non recurring gains + non recurring loss Normalized Earnings Method 1: Average EPS Approach Normalized EPS 1 ๐ ๐ธ๐๐ Method 2: Average ROE Approach Normalized EPS 1 ๐ ๐ ๐๐ธ ๐ถ๐ข๐๐๐๐๐ก ๐ต๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐๐ ๐ โ๐๐๐ ๐/๐ธ ๐๐๐ก๐๐ ๐ ๐๐ % ๐๐ธ๐บ ๐๐๐ก๐๐ Earnings surprise = Reported EPS – Expected EPS 23 ๐ธ ๐ 1 ๐ ๐ 1 ๐ ๐ ๐ ๐ ๐ ๐ ๐ ๐ ๐ 1 ๐ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed ๐บ๐๐๐๐๐ ๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐ ๐ ๐๐๐๐๐ก๐๐ ๐ธ๐๐ ๐ธ๐ฅ๐๐๐๐ก๐๐ ๐ธ๐๐ ๐ ๐ด๐๐๐๐ฆ๐ ๐ก ๐๐๐๐๐๐๐ ๐ก ๐ธ๐๐ Standardized unexpected earnings (SUE) Portfolio P/E 1 ๐๐๐๐โ๐ก๐๐ โ๐๐๐๐๐๐๐ ๐๐๐๐ ๐ค ๐ ∑ ๐ค ๐ Weight of stock i in portfolio P/E of stock i Reading 26: Residual Income Valuation Economic Value Added (EVA) ๐ธ๐ต๐ผ๐ 1 ๐ธ๐๐ด ๐ ๐๐ด๐ถ๐ถ ๐ผ๐๐ฃ๐๐ ๐ก๐๐ ๐ถ๐๐๐๐ก๐๐ Market Value Added (MVA) ๐๐๐๐๐๐ก ๐ฃ๐๐๐ข๐ ๐๐ ๐น๐๐๐ ๐๐๐ด ๐ผ๐๐ฃ๐๐ ๐ก๐๐ ๐ถ๐๐๐๐ก๐๐ Residual Income, RI ๐ ๐ผ Residual Income Model ๐ ๐ธ ๐ ๐ต ๐ ๐๐ธ ๐ ๐ผ ๐ต 1 ๐ ๐ ๐ผ ๐ ๐ต ๐ ๐ผ 1 ๐ Single-stage residual income valuation model ๐ ๐๐ธ ๐ ๐ต ๐ ๐ ๐ ๐ต 1 ๐ต ๐ โฏ ๐ ๐ผ ๐ ๐ ๐๐๐๐๐๐ก ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐๐ก ๐๐๐๐๐๐ก ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐ข๐๐ก๐ฆ ๐ ๐๐๐๐๐๐๐๐๐๐ก ๐๐๐ ๐ก ๐๐ ๐ก๐๐ก๐๐ ๐๐ ๐ ๐๐ก๐ ๐๐๐๐๐ ๐ ๐ Continuing Residual Income ๐ ๐ต ๐ ๐ผ 1 ๐ 1 ๐ ๐ผ ๐ 1 ๐ 0 ๐ ๐ 1 If RI declines to Long-run level in mature industry, with premium over book value ๐ ๐ ๐ผ ๐ต 1 ๐ ๐ 1 ๐ธ ๐ท๐๐ฃ Clean surplus relationship: ๐ต ๐ต 24 ๐ต ๐ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Reading 27: Private Company Valuation Capitalized Cash Flow Method (CCM) ๐น๐๐๐ ๐ฃ๐๐๐ข๐ ๐น๐ถ๐น๐น 1 ๐ ๐๐ด๐ถ๐ถ ๐ ๐ธ๐๐ข๐๐ก๐ฆ ๐ฃ๐๐๐ข๐ ๐น๐ถ๐น๐ธ 1 ๐ ๐ ๐ ๐ธ๐๐ข๐๐ก๐ฆ ๐ฃ๐๐๐ข๐ → ๐น๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐๐๐๐๐ก ๐ฃ๐๐๐ข๐ ๐๐ ๐ท๐๐๐ก Excess Earnings Method (EEM) ๐ฌ๐๐๐๐๐ ๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐ง๐๐ ๐๐๐๐๐๐๐๐ ๐ธ๐๐๐๐๐๐๐ ๐๐๐๐ข๐๐๐๐ ๐ก๐ ๐๐๐๐ฃ๐๐๐ ๐กโ๐ ๐๐๐๐ข๐๐๐๐ ๐๐๐ก๐ ๐๐ ๐๐๐ก๐ข๐๐ ๐๐ ๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐ ๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐๐ ๐๐๐๐ข๐ ๐๐ ๐กโ๐ ๐๐๐ก๐๐๐๐๐๐๐ ๐๐ ๐ ๐๐ก๐ ๐ธ๐ฅ๐๐๐ ๐ ๐ธ๐๐๐๐๐๐๐ ๐ ๐ Value of the firm = Working capital + Fixed assets + Intangible Assets Discount for Lack of Control and Marketability Discount for Lack of Control (DLOC) ๐ท๐ฟ๐๐ถ 1 1 1 ๐ถ๐๐๐ก๐๐๐ ๐๐๐๐๐๐ข๐ Total discount = 1 – (1 – DLOC)(1 – DLOM) 25 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed FIXED INCOME Reading 28: The Term Structure and Interest Rate Dynamics Forward pricing model ๐ท๐น where: ๐ท๐น ๐น ๐ท๐น ๐น ๐ง 1 , 1 1 ๐ง 1 , 1 ๐, Forward rate model 1 ๐ง ๐, 1 ๐ง ๐, Spot rate for period ๐ต ๐ต ๐ด forward rate that starts in period ๐ด Calculating spot rate from one-period forward rates ๐ง Fixed swap rate ๐ 1 1 ∑ ๐ง ๐ท๐น ๐ท๐น 1 1 ๐, 1 ๐, … 1 ๐ ⁄ , 1 ๐ท๐๐ ๐๐๐ข๐๐ก ๐น๐๐๐ก๐๐ ๐๐ ๐ฟ๐๐ ๐ก ๐๐๐ฆ๐๐๐๐ก ๐๐ข๐ ๐๐ ๐ท๐๐ ๐๐๐ข๐๐ก ๐น๐๐๐ก๐๐๐ Swap spread = YTM of swap rate – YTM of government bond (same maturity) TED spread = LIBOR – YTM of T-bill (same maturity) LIBOR-OIS spread = LIBOR – OIS Fixed rate For Parallel shifts in yield curve: %โ๐๐ ๐๐๐๐ท๐ข๐ โ๐๐๐ โ๐๐ ๐๐๐๐ท๐ข๐ โ๐๐๐ %โ๐๐ ๐ธ๐๐๐ท๐ข๐ โ๐ถ๐ข๐๐ฃ๐ โ๐๐ ๐ธ๐๐๐ท๐ข๐ โ๐ถ๐ข๐๐ฃ๐ Non-parallel shifts (i.e. change in slope or curvature): %โ๐๐ ๐พ๐๐ฆ๐ ๐๐ก๐๐ท๐ข๐๐๐ก๐๐๐ โ๐พ๐๐ฆ ๐ ๐๐ก๐ 26 ๐๐ ๐๐ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Reading 29: The Arbitrage-Free Valuation Framework Arbitrage-free value of bond: ๐ถ 1 ๐ ๐ ๐ ๐ถ 1 ๐ ๐น๐ ๐ถ 1 ๐ โฏ Spot rate for period n Backward Induction Valuation Methodology 0.5 ๐ต๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ก ๐๐๐ฆ ๐๐๐๐ ๐ ๐ ๐ถ ๐ 0.5 1 ๐ bond’s value if the higher forward rate is realized one year hence bond’s value if the lower forward rate is realized one year hence coupon payment that is not dependent on interest rates ๐ , ๐, ๐ ๐ , ๐ ๐ , ๐ , ๐ , ๐ ๐ ๐ ๐ , ๐ , ๐ , Cox-Ingersoll-Ross (CIR) Model ๐๐ , ๐ ๐ ๐ ๐ ๐๐ง ๐ ๐๐ก ๐ ๐ ๐ , Vasicek Model ๐๐ ๐ ๐ ๐ ๐ ๐ ๐ ๐๐ก ๐๐๐ง Speed of reversion (> 0) Long-run interest rate Interest rate volatility Ho-Lee Model ๐๐ ๐ ๐ ๐ ๐๐ก ๐๐๐ง Time-dependent drift term Kalotay-Williams-Fabozzi (KWF) Model ๐ ln ๐ ๐ ๐๐ก 27 ๐๐๐ง , ๐ ๐ถ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Reading 30: Valuation and Analysis - Bonds with Embedded Options Value of callable bond = Value of straight bond – Value of issuer call option Value of putable bond = Value of straight bond + Value of investor put option ๐ธ๐๐๐๐๐ก๐๐ฃ๐ ๐๐ข๐๐๐ก๐๐๐ ๐๐ ๐๐ Δ๐ถ๐ข๐๐ฃ๐ ๐๐ 2 ๐ธ๐๐๐๐๐ก๐๐ฃ๐ ๐๐๐๐ฃ๐๐ฅ๐๐ก๐ฆ ๐๐ 2 ๐๐ Δ๐ถ๐ข๐๐ฃ๐ ๐๐ ๐๐ Convertible Bonds ๐ถ๐๐๐ฃ๐๐๐ ๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐๐๐๐๐๐ฆ๐๐๐ ๐ โ๐๐๐ ๐๐๐๐๐ ๐ด๐๐๐๐๐๐ ๐๐๐๐๐ ๐๐ ๐๐๐๐ฃ๐๐๐ก๐๐๐๐ ๐๐๐๐ ๐ด๐๐ ๐ถ๐๐๐ฃ๐๐๐ ๐๐๐ ๐๐๐ก๐๐ ๐ถ๐๐๐ฃ๐๐๐ ๐๐๐ ๐๐๐๐ข๐ ๐๐ ๐ข๐๐๐๐๐๐ฆ๐๐๐ , ๐๐ก๐๐๐๐โ๐ก ๐๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐๐๐๐๐ก ๐๐๐๐ฃ๐๐๐ ๐๐๐ ๐๐๐๐๐ ๐ถ๐๐๐ฃ๐๐๐ก๐๐๐๐ ๐๐๐๐ ๐๐๐๐๐ ๐ถ๐๐๐ฃ๐๐๐ ๐๐๐ ๐๐๐ก๐๐ ๐๐๐๐๐๐ก ๐๐๐๐ฃ๐๐๐ ๐๐๐ ๐๐๐๐๐๐ข๐ ๐๐๐ ๐ โ๐๐๐ ๐๐๐๐๐๐ก ๐๐๐๐ฃ๐๐๐ ๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐๐ก ๐๐๐๐ฃ๐๐๐ ๐๐๐ ๐๐๐๐๐๐ข๐ ๐๐๐ก๐๐ ๐๐๐๐๐๐ก ๐๐๐๐ฃ๐๐๐ ๐๐๐ ๐๐๐๐๐๐ข๐ ๐๐๐ ๐ โ๐๐๐ ๐๐๐๐๐๐๐ฆ๐๐๐ ๐ โ๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐๐ข๐ ๐๐ฃ๐๐ ๐๐ก๐๐๐๐โ๐ก ๐ฃ๐๐๐ข๐ ๐ถ๐๐๐ฃ๐๐๐ก๐๐๐๐ ๐๐๐๐ ๐๐๐๐๐ ๐๐ก๐๐๐๐โ๐ก ๐ฃ๐๐๐ข๐ ๐๐๐๐ข๐ ๐๐ ๐๐๐๐ฃ๐๐๐ก๐๐๐๐ ๐๐๐๐ ๐๐๐๐ข๐ ๐๐ ๐ ๐ก๐๐๐๐โ๐ก ๐๐๐๐ ๐๐๐๐๐๐๐ฆ๐๐๐ ๐ โ๐๐๐ ๐๐๐๐๐ 1 ๐๐๐๐ข๐ ๐๐ ๐๐๐๐ ๐๐๐ก๐๐๐ ๐๐ ๐๐ ๐ ๐ข๐๐ ๐ ๐ ๐ก๐๐๐ ๐๐๐๐ข๐ ๐๐ ๐๐ ๐ ๐ข๐๐ ๐๐๐๐ ๐๐๐ก๐๐๐ ๐๐๐๐ข๐ ๐๐ ๐๐๐ฃ๐๐ ๐ก๐๐ ๐๐ข๐ก ๐๐๐ก๐๐๐ Reading 31: Credit Analysis Models ๐บ-๐ ๐๐๐๐๐ ๐๐๐ ๐๐ ๐ถ๐๐๐๐๐๐๐ก๐ ๐๐๐๐ ๐๐๐ ๐๐ ๐บ๐๐ฃ๐๐๐๐๐๐๐ก ๐๐๐๐ ๐ฟ๐๐ ๐ ๐๐๐ฃ๐๐ ๐๐๐๐๐ข๐๐ก 1 ๐ธ๐ฅ๐๐๐๐ก๐๐ ๐๐ฅ๐๐๐ ๐ข๐๐ ๐ฟ๐๐ ๐ ๐ ๐๐ฃ๐๐๐๐ก๐ฆ 1 ๐ ๐๐๐๐ฃ๐๐๐ฆ ๐๐๐ก๐ ๐ ๐๐๐๐ฃ๐๐๐ฆ ๐๐๐ก๐ Expected Loss = Probability of Default × Loss Given Default 28 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed ๐น๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐๐๐๐ก ๐๐๐ ๐๐ฆ ๐๐๐๐ ๐น๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐๐ ๐๐ ๐ ๐ข๐๐๐๐ ๐๐ ๐๐๐๐๐ข๐๐ก ๐ ๐ธ๐ฟ 1 ๐๐ ๐ถ๐๐ด ๐ถ๐๐๐๐๐ก ๐๐๐๐ข๐ ๐ด๐๐๐ข๐ ๐ก๐๐๐๐ก ๐๐๐ท๐ก ๐ก 1 1 ๐๐๐ก ๐ป๐๐ง๐๐๐ ๐๐๐ก๐ Approximation of credit spread ๐ก ๐ ๐๐๐๐ฃ๐๐๐ฆ ๐ธ๐ฟ 1 ๐๐ ๐๐ ๐๐ ๐๐ฅ๐๐๐๐ก๐๐ ๐๐๐ ๐ ๐๐๐ ๐๐๐๐๐๐ ๐ก 1 ๐ถ๐๐ด ๐ฟ๐บ๐ท๐ก ๐ธ๐ฟ Expected loss of bond at time t Probability of default of bond at time t ๐๐๐ท Loss given default at time t ๐ธ๐ฅ๐๐๐๐ก๐๐ ๐ธ๐ฅ๐๐๐ ๐ข๐๐ ๐ฟ๐บ๐ท ๐๐ Risk-free rate at time t ๐ Bond’s remaining tenor ๐๐๐ท ๐๐๐ท ๐ป๐๐ง๐๐๐ ๐๐๐ก๐ Annual hazard rate × (1 – Recovery rate) Expected percentage price change of a corporate bond ๐๐๐๐๐๐๐๐๐๐ก๐ฆ ๐๐ ๐๐๐๐๐๐ก ๐๐๐๐๐๐ก๐๐๐ where %โ๐ ๐ท๐ข๐ %โ๐ โ๐๐๐๐๐๐ก ๐ ๐๐๐๐๐ Structural Model ๐ด In terms of… Equity Debt ๐ ๐ด ๐พ ๐ท ๐ก, ๐ ๐ Call options ๐ธ ๐ ๐๐๐ฅ ๐ด ๐ ๐พ, 0 ๐๐๐ฅ ๐ด ๐ ๐พ, 0 ๐ด ๐ ๐ท ๐ Put options ๐ธ ๐ ๐ด ๐ ๐พ ๐๐๐ฅ ๐พ ๐ด ๐ , 0 ๐ท ๐ ๐พ ๐๐๐ฅ ๐พ ๐ด ๐ , 0 ๐ธ๐๐ข๐๐ก๐ฆ ๐ฃ๐๐๐ข๐ ๐๐ก ๐ก๐๐๐ ๐ก ๐ด๐ ๐ ๐๐ก ๐ฃ๐๐๐ข๐ ๐๐ก ๐ก๐๐๐ ๐ ๐น๐๐๐ ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐๐ก Present Value of Expected Loss (PVOEL) = PV of risk-free bond – PV of risky bond 29 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Reading 32: Credit Default Swaps CDS payout amount = Payout ratio × Notional = (1 – Recovery rate) × Notional Upfront payment = PV of protection leg – PV of premium leg ๐๐๐๐๐๐๐ก ๐๐๐๐๐๐ข๐ ๐๐ ๐๐ ๐๐ ๐๐ ๐ถ๐๐๐๐๐ก ๐๐๐๐๐๐ ๐น๐๐ฅ๐๐ ๐ถ๐๐ข๐๐๐ ๐ถ๐๐๐๐๐ก ๐น๐๐ฅ๐๐ ๐ถ๐ท๐ ๐ท๐ข๐๐๐ก๐๐๐ ๐๐๐๐๐๐ ๐ถ๐๐ข๐๐๐ ๐๐๐๐๐ ๐๐ ๐ถ๐ท๐ 100 ๐๐๐๐๐๐๐ก ๐๐๐๐๐๐ข๐ % ๐ถโ๐๐๐๐ ๐๐ ๐ถ๐ท๐ ๐๐๐๐๐ ๐ถโ๐๐๐๐ ๐๐ ๐ ๐๐๐๐๐ ๐๐ ๐๐๐ ๐ท๐ข๐๐๐ก๐๐๐ 30 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed DERIVATIVES Reading 33: Pricing and Valuation of Forward Commitments Forward Pricing: ๐น ๐ 1 ๐ ๐น ๐ ๐ถ๐ถ where: ๐ถ๐ถ ๐น ๐ ๐ ๐น ๐ ๐ ๐ถ๐ต 1 ๐ PV of Carry cost ๐ถ๐ต ๐ PV of carry benefits continuously compounded risk-free rate Note: CC and CB are continuously compounded rates Forward Valuation (Long Position): ๐ 0 ๐ ๐น ๐น 1 ๐ ๐ ๐ ๐ ๐น 1 ๐ ๐น Forward Rate Agreement (FRA) Payoff at expiration: ๐ณ๐๐๐ ๐น๐ ๐ด ๐๐๐ฆ๐๐๐ ๐๐ก ๐๐๐๐๐๐๐๐๐๐ ๐๐ ๐น๐ ๐ด Pricing: ๐น๐ ๐ด 1 1 ๐ฟ ๐ก ๐ฟ ๐ก 1 ๐๐๐ก๐๐๐๐๐ ๐ฟ ๐น๐ ๐ด ๐ก 1 ๐ท ๐ก 1 ๐ก Valuation (prior to FRA expiration): ๐๐๐๐ข๐ ๐๐ ๐ฟ๐๐๐ ๐น๐ ๐ด ๐๐ก ๐ ๐ท โ ๐ ๐ ๐น๐ ๐ด ๐ก ๐๐๐ก๐๐๐๐๐ ๐น๐ ๐ด 1 ๐ท ๐ก Discount rate for m periods at t = h FRA tenor Tenor of the underlying rate (e.g. LIBOR) โ ๐ Maturity of underlying instrument 31 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Fixed Income Forwards and Futures Pricing: ๐๐ข๐๐ก๐๐ ๐๐ข๐ก๐ข๐๐๐ ๐ถ๐๐๐ฃ๐๐๐ ๐๐๐ ๐น ๐๐๐๐ก๐๐ ๐๐๐๐๐ ๐ด๐ผ ๐น๐๐ถ๐ผ ๐ด๐ผ ๐น๐ ๐ต Valuation for fixed income forward contracts: ๐๐๐๐ ๐๐๐ก ๐ฃ๐๐๐ข๐ ๐๐ ๐๐๐๐๐๐๐๐๐๐ ๐๐ ๐๐๐๐ค๐๐๐ ๐๐๐๐๐๐ ๐ ๐๐ ๐น ๐น Valuation for fixed income futures contracts: Price change since previous day’s settlement ๐ ๐ต ๐ด๐ผ Quoted bond price ๐๐ข๐๐๐๐ ๐๐ ๐๐๐๐๐ข๐๐ ๐๐๐ฆ๐ ๐ ๐๐๐๐ ๐๐๐ ๐ก ๐๐๐ข๐๐๐ ๐๐๐ฆ๐๐๐๐ก ๐๐๐ก๐๐ ๐๐๐ฆ๐ ๐๐ข๐๐๐๐ ๐กโ๐ ๐๐๐ข๐๐๐ ๐๐๐ฆ๐๐๐๐ก ๐๐๐๐๐๐ Interest Rate Swaps (IRS) Pricing: ๐น๐ ๐๐ 1 ∑ ๐ด๐๐๐ข๐๐ ๐๐๐ข๐๐๐ ๐ถ๐๐ข๐๐๐ ๐๐๐๐๐ข๐๐๐๐ฆ ๐๐ ๐๐ 1 1 ๐๐๐๐ก ๐๐๐ก๐๐๐๐ ๐ก ๐๐๐ก๐ ๐ท๐๐ฆ๐ ๐ก๐ ๐๐๐ก๐ข๐๐๐ก๐ฆ 360 Valuation: Pay-fixed, receive-floating IRS ๐ ๐๐๐ก๐๐๐๐๐ ๐น๐ ๐ญ๐บ๐ ๐๐ ๐๐๐ก๐๐๐๐๐ ๐ญ๐บ๐ ๐น๐ ๐๐ Receive-fixed, pay-floating IRS ๐ 32 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Currency Swap Pricing for fixed leg of currency swap in currency ๐ 1 ๐๐ , ๐น๐ ∑ ๐๐ , Value of a fixed-for-fixed currency swap ๐๐๐ก๐๐๐๐๐ ๐ ๐ ๐ ๐ ๐น๐ ๐๐ , ๐๐ , ๐ ๐น๐ ๐๐ , ๐๐ ๐ Spot exchange rate at time ๐ก (quoted as ๐⁄๐) ๐๐๐ก๐๐๐๐๐ ๐ ๐๐๐ ๐๐๐๐ข๐ ๐๐ ๐๐ข๐๐๐๐๐๐ฆ ๐ ๐๐๐ ๐๐๐๐๐๐ฃ๐ ๐๐๐ ๐๐๐๐ข๐ ๐๐ ๐๐ข๐๐๐๐๐๐ฆ ๐ ๐๐๐ ๐๐๐ฆ , Equity Swap Value of equity swap (receive fixed-rate, pay equity return) ๐ ๐ ๐๐๐ก๐๐๐๐๐ ๐๐ ๐๐๐ ๐ , ๐ถ ๐ ๐๐๐๐ข๐ ๐๐ ๐ธ๐๐ข๐๐ก๐ฆ ๐ฟ๐๐ Cash flow for equity leg ๐ ๐ ๐ ๐๐๐ก๐๐๐๐๐ ๐ ๐ ๐๐๐ก๐๐๐๐๐ ๐๐๐ก๐๐๐๐๐ ๐๐๐๐๐๐๐๐ ๐๐๐ข๐๐ก๐ฆ ๐๐๐ก๐ข๐๐ ๐ถ Value at time ๐ก of a fixed-rate bond initiated with coupon ๐ถ at Time 0 Current equity index level = Equity index level at last reset date Reading 34: Valuation of Contingent Claims โ ๐ ๐ ๐ ๐ 0 โ ๐ ๐ ๐ ๐ 0 No-arbitrage Approach: ๐ โ ๐ ๐๐ โ ๐ ๐ โ ๐ ๐๐ โ ๐ ๐ ๐ โ ๐ ๐๐ โ ๐ ๐ โ ๐ ๐๐ โ ๐ ๐ 33 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Expectations Approach: 1 ๐ ๐ ๐ข ๐ ๐ One-period binomial model: ๐๐ ๐ 1 ๐ ๐ ๐ ๐๐ ๐ Note: For interest rate options, ๐ 1-period forward rates. 1 1 1 ๐ ๐ ๐ 0.5 and discount expected option payoff using the Two-period binomial model: ๐ ๐ ๐ ๐ 2๐ 1 ๐ ๐ 1 ๐ 1 ๐ ๐ ๐ ๐ 2๐ 1 ๐ ๐ 1 ๐ 1 ๐ ๐ For 2-period American-styled call option with dividend in t = 1: ๐ ๐ข ๐ ๐๐ ๐๐ ๐๐๐ฃ๐๐๐๐๐๐ ๐๐ก ๐๐๐ ๐ ๐๐๐๐ ๐๐๐ก๐ ๐ ๐ ๐ ๐๐ ๐๐ ๐๐๐ฃ๐๐๐๐๐๐ ๐๐ก ๐๐๐ ๐ ๐๐๐๐ ๐๐๐ก๐ Black-Scholes Option Pricing Model ๐ ๐ ๐ ๐ ln ๐ ๐ ๐ 1 ๐ 2 ๐๐ ๐ ๐๐ ๐ ๐๐ ๐ ๐ ๐√๐ ๐ ๐√๐ 34 ๐ ๐ ๐๐ ๐ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed ๐ Put-call parity: • • • • ๐ ๐ ๐๐ Hedge ratio for calls = N(d1) Probability that the call option expires in the money = N(d2) = Prob(ST > X) Hedge ratio for puts = N(d1) – 1 = -N(-d1) Probability that the put option expires in the money = 1 – N(d2) = N(-d2) = Prob(ST < X) BSM model with carry benefits ๐ ๐๐ ๐ ๐ ๐ ๐ ๐๐ ๐ ๐ ln ๐ ๐ ๐ ๐ ๐ ๐ ๐๐ ๐ ๐ 1 ๐ 2 ๐ ๐พ ๐√๐ ๐ ๐ Put-call parity: ๐๐ ๐๐ ๐ ๐√๐ ๐๐ Black Option Valuation Model: European Options on Futures ๐น ๐ ๐ ๐ ๐๐ ๐ ๐ ๐ ๐๐ ๐ ๐ ๐ ๐๐ ๐ ๐ ๐ ๐ ln ๐ ๐น ๐ 1 ๐ ๐ 2 ๐ ๐ √๐ ๐√๐ ๐ Put-call parity: ๐ ๐น ๐ ๐ ๐ Interest Rate Options: ๐ ๐ ๐ด๐ ๐ ,๐ก ๐น๐ ๐ด 0, ๐ก ๐ ๐ ๐ด๐ ๐ ln ๐ ๐ ๐น๐ ๐ด 0, ๐ก ๐ ๐ ๐ ๐ ๐น๐ ๐ด 0, ๐ก ,๐ก 1 2๐ ๐ ๐ก ๐ ๐ ๐ ๐ ๐ ๐ก 35 ๐ก ,๐ก ๐ ๐ ๐ ๐ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Payer Swaption ๐๐ด๐ ๐ด๐ ๐ ๐ ๐ ๐ ๐ ๐ ๐ ๐ ๐ ๐๐ 1 Receiver Swaption ๐ด๐ ๐ ๐ธ๐ถ ln ๐ Optimal Number of Hedging Units ๐ ๐๐√๐ ๐ 1 ๐ 2 ๐ ๐ ๐√๐ ๐๐๐๐ก๐๐๐๐๐ ๐๐๐๐ก๐ ๐ท๐๐๐ก๐ ๐ ๐บ๐๐๐๐ ๐ ๐ ๐ ๐√๐ ๐ ๐บ๐๐๐๐ ๐ ๐ ๐ ๐ ๐ ๐ท๐๐๐ก๐ ๐ฅ๐ 1 ๐บ๐๐๐๐ 2 ๐ฅ๐ ๐ ๐ ๐ท๐๐๐ก๐ ๐ฅ๐ 1 ๐บ๐๐๐๐ 2 ๐ฅ๐ 36 ๐๐ 1 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed ALTERNATIVE INVESTMENTS Reading 35: Real Estate Investments Net lease = Gross lease – operating expense Appraisal-based index ๐๐๐ผ ๐ ๐๐ก๐ข๐๐ ๐ถ๐๐๐๐ก๐๐ ๐ต๐๐๐๐๐๐๐๐ ๐ธ๐๐๐๐๐ ๐ธ๐ฅ๐๐๐๐๐๐ก๐ข๐๐๐ ๐๐๐๐๐๐ก ๐ฃ๐๐๐ข๐ ๐๐๐๐๐๐ก ๐ฃ๐๐๐ข๐ ๐ต๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐ก ๐ฃ๐๐๐ข๐ Highest and Best Use Implied land value = Value after construction – Cost to construct building Direct Capitalization Method Value of property at the time of purchase ๐๐๐ผ ๐ถ๐๐ ๐๐๐ก๐ Value of property at the time of purchase ๐ ๐๐๐ก ๐ด๐๐ ๐๐๐ ๐ ๐ฆ๐๐๐๐ ๐ถ๐๐ ๐๐๐ก๐ ๐๐ ๐๐๐๐๐๐๐๐๐๐ ๐ผ๐ ๐ ๐ถ๐๐ ๐๐๐ก๐ ๐๐๐ผ ๐๐๐๐ ๐๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐๐๐ ๐บ๐๐๐ค๐กโ ๐๐๐ก๐ ๐๐ ๐๐๐ผ If property under renovation, Value of property = Value if renovated – Loss in value due to renovation Gross income multiplier ๐๐๐๐ ๐๐๐๐๐ ๐บ๐๐๐ ๐ ๐๐๐๐๐๐ 37 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Discounted Cash Flow Method Constant growth rate: ๐ ๐๐๐ผ ๐ ๐ Appraisal with Terminal Value (or Resale/Reversion Value): ๐๐๐ผ 1 ๐ ๐ ๐๐๐ผ ๐๐๐๐๐๐๐๐ ๐๐๐ ๐๐๐ก๐ ๐๐๐๐ข๐ ๐ ๐๐๐๐ข๐ 1 ๐ ๐๐๐ผ ๐ ๐ Investor’s holding period ๐บ๐๐๐๐ ๐๐ ๐ถ๐๐ ๐ ๐๐ก๐ ๐๐๐ผ ๐ Private Market Real Estate Debt ๐ฟ๐๐ ๐๐๐ก๐๐ ๐ฟ๐๐๐ ๐๐๐๐๐๐๐ก๐ฆ ๐ฃ๐๐๐ข๐ ๐ท๐๐๐ก ๐ ๐๐๐ฃ๐๐๐ ๐๐๐ฃ๐๐๐๐๐ ๐๐๐ก๐๐, ๐ท๐๐ถ๐ ๐ธ๐๐ข๐๐ก๐ฆ ๐๐๐ฃ๐๐๐๐๐ ๐๐๐ก๐ ๐๐๐ผ ๐ท๐๐๐ก ๐ ๐๐๐ฃ๐๐๐ ๐น๐๐๐ ๐ก ๐ฆ๐๐๐ ๐๐๐ โ ๐๐๐๐ค ๐ธ๐๐ข๐๐ก๐ฆ ๐๐๐ผ ๐๐๐๐๐๐๐ ๐๐๐ฆ๐๐๐๐ก ๐๐ข๐๐โ๐๐ ๐ ๐๐๐๐๐ ๐ฟ๐๐๐ ๐๐๐๐ข๐๐ก Note: Equity dividend rate also called “cash-on-cash” return. Net Asset Value approach: ๐๐ด๐ ๐๐๐ ๐ โ๐๐๐ where: ๐๐๐๐ข๐ ๐๐ ๐๐๐๐๐๐ก๐๐๐ ๐๐ ๐ก๐๐ก๐ ๐๐๐๐ข๐ ๐๐ ๐๐๐๐ข๐ ๐๐ ๐๐๐ก๐๐ ๐๐๐๐ก ๐๐๐๐๐๐ก๐๐๐ ๐๐ ๐ก๐๐ก๐ ๐๐กโ๐๐ ๐๐ ๐ ๐๐ก๐ ๐๐๐ ๐๐๐๐๐๐๐๐ก๐๐๐ ๐๐ข๐๐๐๐ ๐๐ ๐ โ๐๐๐๐ ๐๐ข๐ก๐ ๐ก๐๐๐๐๐๐ ๐๐๐ผ ๐ถ๐๐ ๐๐๐ก๐ Funds from Operations: ๐น๐น๐ ๐๐๐ก ๐๐๐๐๐๐ ๐ท๐๐๐๐๐๐๐๐ก๐๐๐ ๐๐๐ ๐๐๐๐๐ก๐๐ง๐๐ก๐๐๐ 38 ๐บ๐๐๐๐ ๐๐ ๐ ๐๐๐ ๐๐ ๐๐๐๐๐๐๐ก๐ฆ ๐ฟ๐๐ ๐ ๐๐ ๐ ๐๐๐ ๐๐ ๐๐๐๐๐๐๐ก๐ฆ Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Adjusted Funds from Operations: ๐๐๐ ๐๐๐ โ ๐ด๐น๐น๐ ๐น๐น๐ ๐๐๐๐ก ๐ ๐๐๐ข๐๐๐๐๐ ๐๐๐๐๐ก๐๐ ๐๐ฅ๐๐๐๐๐๐ก๐ข๐๐ ๐๐๐ ๐๐๐๐ ๐๐๐ ๐๐๐ ๐ก๐ Reading 36: Private Equity Investments Venture Capital Method Pre-money valuation ๐ท๐๐๐ ๐๐๐๐๐ ๐ฃ๐๐๐ข๐๐ก๐๐๐ New equity injection ๐๐๐๐ข๐ ๐๐ ๐๐๐ข๐๐ก๐ฆ ๐๐ก ๐๐ฅ๐๐ก ๐ ๐๐ผ ๐ ๐๐๐ ๐ โ๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐ ๐๐๐ ๐ โ๐๐๐ ๐๐๐๐ข๐ ๐๐ ๐๐๐ข๐๐ก๐ฆ ๐๐ก ๐๐ฅ๐๐ก 1 ๐ผ๐ ๐ ๐๐๐ค ๐๐๐ข๐๐ก๐ฆ ๐๐๐๐๐๐ก๐๐๐ ๐ท๐๐๐ ๐๐๐๐๐ ๐ฃ๐๐๐ข๐๐ก๐๐๐ ๐๐ถ ๐๐๐๐๐ก๐๐๐๐๐ ๐๐ค๐๐๐๐ โ๐๐ ๐๐ถ ๐๐๐๐๐ก๐๐๐๐๐ ๐๐ค๐๐๐๐ โ๐๐ Post-money valuation ๐ ๐๐๐ค ๐ โ๐๐๐๐ ๐ ๐๐๐ก๐๐๐ ๐๐๐๐ ๐๐๐ค ๐๐๐ข๐๐ก๐ฆ ๐๐๐๐๐๐ก๐๐๐ ๐ ๐๐๐ค ๐ โ๐๐๐๐ For two stages of financing (Stage A and Stage B) ๐๐๐๐๐๐ ๐ด ๐๐๐ฃ๐๐ ๐ก๐๐๐ ๐๐๐๐๐๐ ๐ด ๐๐๐ฃ๐๐ ๐ก๐๐๐ ๐๐๐๐๐ก๐๐๐๐๐ ๐๐ค๐๐๐๐ โ๐๐ ๐๐๐๐๐ก๐๐๐๐๐ ๐๐ค๐๐๐๐ โ๐๐ ๐๐๐ก๐๐ ๐๐๐๐๐๐ ๐ต ๐๐๐๐๐๐๐๐๐ ๐๐๐ก๐๐ ๐๐๐๐๐๐ ๐ด ๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐ ๐ด ๐๐๐ฃ๐๐ ๐ก๐๐๐ ๐๐๐๐๐๐๐ ๐ ๐๐ผ ๐๐๐ก๐๐ ๐๐๐๐๐๐ ๐ต ๐๐๐๐๐๐๐๐๐ ๐ ๐๐๐ค ๐ โ๐๐๐๐ 1 ๐๐๐๐๐๐ ๐ต ๐๐๐ฃ๐๐ ๐ก๐๐๐ ๐๐๐๐๐ก๐๐๐๐๐ ๐๐ค๐๐๐๐ โ๐๐ ๐๐๐๐๐๐ ๐ด ๐๐๐ฃ๐๐ ๐ก๐๐๐ ๐๐๐๐๐ก๐๐๐๐๐ ๐๐ค๐๐๐๐ โ๐๐ ๐๐๐๐๐ก๐๐ ๐ธ๐ฅ๐๐ก ๐๐๐๐ข๐๐ก๐๐๐ ๐๐๐ก๐๐ ๐๐๐๐๐๐ ๐ต ๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐ ๐ด ๐๐๐ฃ๐๐ ๐ก๐๐๐ ๐๐๐ข๐๐ก๐ฆ ๐๐๐๐๐๐ก๐๐๐ Return Multiples for Private Equity Funds ๐๐๐๐ ๐๐ ๐๐๐๐๐ก๐๐ ๐ก๐ ๐๐๐ก๐ ๐๐๐๐ ๐๐ ๐ถ๐๐๐๐ก๐๐, ๐๐ผ๐ถ ๐ถ๐๐๐๐๐ก๐ก๐๐ ๐๐๐๐๐ก๐๐ ๐ท๐๐ ๐ก๐๐๐๐ข๐ก๐๐ ๐ก๐ ๐๐๐๐ ๐๐, ๐ท๐๐ผ ๐ถ๐ข๐๐ข๐๐๐ก๐๐ฃ๐ ๐๐๐ ๐ก๐๐๐๐ข๐ก๐๐๐๐ ๐๐๐๐ ๐๐ข๐ก ๐ก๐ ๐ฟ๐๐ ๐ถ๐ข๐๐ข๐๐๐ก๐๐ฃ๐ ๐๐๐ฃ๐๐ ๐ก๐๐ ๐๐๐๐๐ก๐๐ ๐ ๐๐ ๐๐๐ข๐๐ ๐ฃ๐๐๐ข๐ ๐ก๐ ๐๐๐๐ ๐๐, ๐๐๐๐ข๐ ๐๐ ๐ฟ๐ ๐ ๐ โ๐๐๐โ๐๐๐๐๐๐ โ๐๐๐ ๐ค๐๐กโ ๐กโ๐ ๐๐ธ ๐๐ข๐๐ ๐ ๐๐๐ผ ๐ถ๐ข๐๐ข๐๐๐ก๐๐ฃ๐ ๐๐๐ฃ๐๐ ๐ก๐๐ ๐๐๐๐๐ก๐๐ ๐๐๐ก๐๐ ๐ฃ๐๐๐ข๐ ๐ก๐ ๐๐๐๐ ๐๐, ๐๐๐๐ผ ๐ท๐๐ผ ๐ ๐๐๐ผ 39 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed ๐๐ด๐ ๐๐๐๐๐๐ ๐๐๐ ๐ก๐๐๐๐ข๐ก๐๐๐ ๐๐ด๐ ๐๐๐๐๐ ๐๐๐ ๐ก๐๐๐๐ข๐ก๐๐๐ ๐๐ด๐ ๐๐๐๐๐ ๐๐๐ ๐ก๐๐๐๐ข๐ก๐๐๐ ๐๐ด๐ ๐๐๐๐๐๐ ๐๐๐ ๐ก๐๐๐๐ข๐ก๐๐๐ ๐ถ๐๐๐๐๐ ๐๐๐ค๐ ๐๐๐๐๐ก๐๐ ๐ถ๐๐๐๐๐๐ ๐ผ๐๐ก๐๐๐๐ ๐ก ๐๐๐๐๐๐ก๐๐๐ ๐๐๐ ๐ข๐๐ก๐ ๐๐๐๐๐๐๐๐๐๐ก ๐๐๐ ๐ท๐๐ ๐ก๐๐๐๐ข๐ก๐๐๐๐ Reading 37: Introduction to Commodities and Commodity Derivatives ๐น๐ข๐ก๐ข๐๐๐ ๐๐๐๐๐ ๐๐๐๐ก ๐๐๐๐๐ ๐๐ ๐โ๐ฆ๐ ๐๐๐๐ ๐๐๐๐๐๐๐๐ก๐ฆ ๐ถ๐๐๐๐๐๐๐ ๐ ๐๐๐๐๐ ๐๐๐๐ ๐ก๐๐๐ ๐๐ข๐ก๐ข๐๐๐ ๐๐๐๐ก๐๐๐๐ก ๐๐๐๐ ๐๐๐ ๐๐๐๐๐ ๐๐ก๐๐๐๐๐ ๐๐๐ ๐ก๐ ๐ถ๐๐๐ฃ๐๐๐๐๐๐๐ ๐ฆ๐๐๐๐ ๐น๐๐๐กโ๐๐ ๐ก๐๐๐ ๐๐ข๐ก๐ข๐๐๐ ๐๐๐๐ก๐๐๐๐ก ๐๐๐๐ ๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐ ๐๐๐ก๐ข๐๐ ๐ถ๐ข๐๐๐๐๐ก ๐๐๐๐๐ ๐๐๐๐ฃ๐๐๐ข๐ ๐๐๐๐๐ ๐๐๐๐ฃ๐๐๐ข๐ ๐๐๐๐๐ ๐ ๐๐๐ ๐๐๐ก๐ข๐๐ ๐๐๐๐ ๐ก๐๐๐ ๐น๐๐๐กโ๐๐ ๐ก๐๐๐ ๐๐ข๐ก๐ข๐๐๐ ๐๐๐๐ก๐๐๐๐ก ๐๐ข๐ก๐ข๐๐๐ ๐๐๐๐ก๐๐๐๐ก ๐๐๐๐ ๐๐๐ ๐๐๐๐๐ ๐๐๐๐ ๐๐๐ ๐๐๐๐๐ ๐๐๐๐ ๐ก๐๐๐ ๐๐ข๐ก๐ข๐๐๐ ๐๐๐๐ก๐๐๐๐ก ๐๐๐๐ ๐๐๐ ๐๐๐๐๐ ๐๐๐ก๐๐ ๐๐๐ก๐ข๐๐ ๐๐๐๐๐ ๐๐๐ก๐ข๐๐ ๐ ๐๐๐ ๐๐๐ก๐ข๐๐ ๐ถ๐๐๐๐๐ก๐๐๐๐ ๐๐๐ก๐ข๐๐ ๐๐๐๐๐๐๐ก๐๐๐ ๐๐ ๐กโ๐ ๐๐๐ ๐๐ก๐๐๐ ๐๐ ๐กโ๐ ๐๐ข๐ก๐ข๐๐๐ ๐๐๐๐ก๐๐๐๐ก ๐๐๐๐๐ ๐๐๐๐๐๐ ๐ ๐๐๐๐๐๐๐๐๐๐ ๐๐๐ก๐ข๐๐ ๐๐๐ ๐๐๐๐๐ฅ ๐๐๐๐ฆ 40 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed PORTFOLIO MANAGEMENT Reading 38: Exchange-Traded Funds: Mechanics and Applications End-of-day ETF premium or discount (%) ๐ธ๐๐น ๐๐๐๐๐ ๐๐ด๐ ๐๐๐ ๐ โ๐๐๐ ๐๐ด๐ ๐๐๐ ๐ โ๐๐๐ Intraday ETF premium or discount (%) ๐ธ๐๐น ๐๐๐๐๐ ๐ผ๐๐๐๐๐๐ก๐๐ ๐๐ด๐ ๐๐๐ ๐ โ๐๐๐ ๐ผ๐๐๐๐๐๐ก๐๐ ๐๐ด๐ ๐๐๐ ๐ โ๐๐๐ ๐ป๐๐๐๐๐๐ ๐๐๐๐๐๐ ๐๐๐ ๐ก % ๐ ๐๐ข๐๐ ๐ก๐๐๐ ๐ก๐๐๐๐ ๐๐๐ ๐ก % ๐ ๐๐ข๐๐ ๐ก๐๐๐ ๐ก๐๐๐๐ ๐๐๐ ๐ก % ๐๐๐๐๐๐๐๐๐๐ก ๐๐๐ % ๐๐๐ ๐ค๐๐ฆ ๐๐๐๐๐๐ ๐ ๐๐๐ % 2 ๐ต๐๐ ๐๐ ๐ ๐ ๐๐๐๐๐ % Reading 39: Using Multifactor Models Arbitrage Pricing Theory (APT) ๐ธ ๐ ๐ ๐ ๐ฝ , โฏ ๐ ๐ฝ , ๐ธ ๐ the expected return to portfolio p ๐ the risk-free rate the sensitivity of the portfolio to factor j ๐ฝ, the expected reward for bearing the risk of factor j ๐ ๐พ the number of factors Carhart Four-Factor Model ๐ ๐ฝ , ๐ ๐๐ ๐น ๐ธ ๐ ๐ฝ , ๐๐๐ต ๐ฝ , ๐ป๐๐ฟ ๐ฝ , ๐๐๐ฟ ๐ ๐๐ ๐น Return on a value-weighted equity index minus one-month T-bill rate SMB = small minus big; average return on three small-cap portfolios minus the average return on three large-cap portfolios HML = high minus low; average return on two high book-to-market portfolios minus average return on two low book-to-market portfolios WML = winners minus losers, a momentum factor; return on a portfolio of past year’s winners minus return on a portfolio of past year’s losers. Macroeconomic Factor Model ๐ ๐น ๐ ๐ ๐ ๐ ๐น ๐ ๐น โฏ ๐ ๐น ๐ the surprise in the factor k the sensitivity of the return on asset i to a surprise in factor k, k = 1, 2, …, Expected return on the portfolio 41 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Fundamental Factor Model Value of attribute ๐ for asset ๐ Average value of attribute ๐ ๐ ๐ Values of attribute ๐ Return Attribution ๐ด๐๐ก๐๐ฃ๐ ๐๐๐ก๐ข๐๐ ๐ ๐ ๐๐๐๐ก๐๐๐๐๐ ๐ ๐๐๐ ๐๐ก๐๐ฃ๐๐ก๐ฆ ๐๐๐๐๐๐๐๐ ๐๐๐๐๐, ๐๐ธ ๐ผ๐๐๐๐๐๐๐ก๐๐๐ ๐๐๐ก๐๐, ๐ ๐ ๐ต๐๐๐โ๐๐๐๐ ๐ ๐๐๐ ๐๐ก๐๐ฃ๐๐ก๐ฆ ๐๐๐๐ข๐๐๐ก๐ฆ ๐ ๐๐๐๐๐ก๐๐๐ ๐ ๐ ๐ ๐ ๐ ๐ ๐ผ๐ ๐น๐๐๐ก๐๐ ๐๐๐ก๐ข๐๐ Active risk squared = Active factor risk + Active specific risk Reading 40: Measuring and Managing Market Risk Parametric VaR (Using Normal Distribution) ๐๐๐๐ข๐ ๐๐ก ๐ ๐๐ ๐, ๐๐๐ ๐ธ ๐ ๐ง ๐ ๐๐๐๐ก๐๐๐๐๐ ๐๐๐๐ข๐ Portfolio expected return ๐ธ ๐ Portfolio standard deviation ๐ Two-asset portfolio: ๐ค๐ธ ๐ ๐ธ ๐ ๐ค ๐ธ ๐ ๐ ๐ค ๐ ๐ค ๐ 2๐ค ๐ค ๐ , ๐ ๐ Scaling from daily returns to annual returns: ๐ 250 ๐ก๐๐๐๐๐๐ ๐๐๐ฆ๐ Scaling from daily standard deviation to annual standard deviaton: ๐ √250 ๐ผ๐๐๐๐๐๐๐๐ก๐๐ ๐๐๐ ๐ผ๐๐๐ ๐๐๐ ๐๐๐ก๐๐ ๐โ๐๐๐๐ Percentage change in bond price: Δ๐ฆ ΔB ๐ท๐ข๐๐๐ก๐๐๐ 1 ๐ฆ ๐ต ๐๐๐ ๐๐๐๐๐๐ ๐โ๐๐๐๐ 1 Δy ๐ถ๐๐๐ฃ๐๐ฅ๐๐ก๐ฆ 2 1 ๐ฆ New call price: ๐ Δ๐ ๐ Delta Δ๐ Gamma Δ๐ ๐๐๐๐ Δ๐ New put price: ๐ Δ๐ ๐ Delta Δ๐ Gamma Δ๐ ๐๐๐๐ Δ๐ 42 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Reading 42: Economics and Investment Markets One-period real-risk free rate: ๐ ๐ธ ๐ 1 , ๐ธ ๐ 1 , Inter-temporal rate of substitution , ๐๐๐๐๐ ๐๐ ๐๐๐ ๐๐ฆ ๐๐ ๐ ๐๐ก ๐ธ๐ , 1 ๐, ๐๐๐ฃ ๐ ,๐ , , where: , risk neutral present value , ๐๐๐ฃ ๐ ๐ ,๐ covariance between investor’s inter-temporal rate of substitution and the random future price the investment at t + 1, based on the information available to investor today. time to maturity of investment , , Default-free nominal coupon-paying bond: ๐ถ๐น ๐ ๐, ๐, ๐, ๐, 1 ๐ , ๐, ๐ , real-risk free rate expected inflation rate uncertainty in future inflation rate ๐, Breakeven rate of inflaton Short-dated nominal zero-coupon government bonds (T-bills) ๐ถ๐น ๐ 1 ๐, ๐, Taylor Rule: ๐๐ ๐ผ ๐ 0.5 ๐ ๐∗ 0.5 ๐ ๐∗ policy rate at time t ๐๐ level of real short-term interest rates that balance long-term savings and borrowing in ๐ผ the economy rate of inflation ๐ ๐ ∗ target rate of inflation ๐ logarithmic level of actual GDP ๐ ∗ logarithmic level of potential real GDP ๐ ๐ ∗ output gap 43 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Corporate bond: ๐ธ ๐ถ๐น ๐ ๐พ, 1 ๐ ๐, , ๐ ๐พ, , Credit premium Equity: ๐ธ ๐ถ๐น ๐ 1 ๐ , , ๐ ๐พ, , ๐ , ๐ธ ๐ถ๐น ๐ ๐ ๐ ๐, , 1 ๐ ๐, , ๐ , ๐ , ๐พ, ๐ , Equity premium relative to risky bonds ๐พ, ๐ , Equity risk premium Commercial Real Estate: ๐ธ ๐ถ๐น ๐ ๐ , 1 ๐ , ๐, ๐ , liquidity risk premium Reading 43: Analysis of Active Portfolio Management Active return, ๐ ๐ด๐๐โ๐, ๐ผ ๐ ๐๐๐๐ข๐ ๐๐๐๐๐, ๐๐ ๐ ๐ ๐๐ ๐ ๐ ๐ฝ ๐ ๐ โ๐ค ๐ , ๐ค ,๐ , ๐ผ๐ ๐ ๐ ๐ ๐ For optimal Sharpe ratio, ๐ ๐ ๐ผ๐ ๐ ๐ ๐๐ 44 ๐, Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed ๐๐๐๐๐ ๐๐๐ ๐ถ๐๐๐๐๐๐๐๐๐๐ก, ๐๐ถ ๐ผ๐๐๐๐๐๐๐ก๐๐๐ ๐ถ๐๐๐๐๐๐๐๐๐๐ก, ๐ผ๐ถ ๐ถ๐๐๐ ๐ผ๐ถ ๐ผ๐ถ ๐ ๐ , ๐ ๐ ๐ถ๐๐๐ 2 ๐๐๐๐๐๐๐๐๐๐ก๐ฆ ๐๐ ๐๐๐โ๐ก ๐๐๐๐ Forecasted active return, ๐ ๐ , โ๐ค ๐ ๐ 1 ๐ ๐ where ๐ is set of standardized forecasts of expected returns across securities Mean-variance optimal weights: ๐๐ โ๐ค ∗ ๐ ๐ผ๐ถ √๐ต๐ Full Fundamental Law: ๐ธ ๐ ๐ผ๐ ๐ ๐ ๐๐ถ ๐ผ๐ถ √๐ต๐ ๐ ๐๐ถ ๐ผ๐ถ √๐ต๐ ๐๐ถ ๐ผ๐ ∗ ๐ ๐ ๐๐ ๐๐ ๐๐ ๐๐ถ ๐ ๐ ๐ผ๐ ∗ ๐ Performance Measurement ๐ ๐ธ ๐ |๐ผ๐ถ ๐๐๐๐ ๐ Proportion of variation in realized performance attributed to realized information ๐๐ถ coefficient ๐คโ๐๐๐ ๐ผ๐ถ realized information coefficient Ex-ante measurement of skill: ๐ผ๐ถ ๐ ๐ ๐ธ ๐ Independence of Investment Decision: ๐ต๐ ๐ ๐ 1 ๐ 1 45 Noesis Exed CFA Level 2 (2022) Formula Sheet – Noesis Exed Reading 44: Trading Costs and Electronic Markets ๐๐๐๐๐ข๐๐ก๐ ๐๐๐๐๐ ๐ต๐๐ ๐๐๐๐๐ ๐ด๐ ๐ ๐๐๐๐๐ 2 Effective spread transaction cost estimate For buy orders: ๐๐๐๐๐ ๐ ๐๐ง๐ ๐๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐ข๐๐ก๐ ๐๐๐๐๐ ๐๐๐๐๐ ๐ ๐๐ง๐ ๐๐๐๐๐ข๐๐ก๐ ๐๐๐๐๐ For sell orders: ๐๐๐๐๐ ๐๐๐๐๐ Note: Midquote price calculated based on bid and ask prices at the time order was entered. ๐ธ๐๐๐๐๐ก๐๐ฃ๐ ๐ ๐๐๐๐๐ 2 ๐ธ๐๐๐๐๐ก๐๐ฃ๐ ๐ ๐๐๐๐๐ ๐ก๐๐๐๐ ๐๐๐ก๐๐๐ ๐๐๐ ๐ก ๐๐ ๐ก๐๐๐๐ก๐ VWAP transaction cost estimate For buy orders: ๐๐๐๐๐ ๐ ๐๐ง๐ ๐๐๐๐๐ ๐๐๐ด๐ ๐๐๐ด๐ ๐๐๐๐โ๐๐๐๐ ๐๐๐๐๐ ๐ ๐๐ง๐ ๐๐๐ด๐ ๐๐๐๐โ๐๐๐๐ For sell orders: 46 ๐๐๐๐๐ ๐๐๐ด๐