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CFA (Chartered Financial Analyst ) Level 1: Quant All Formulas, Workings Summary

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45. unconditional (marginal probability) and conditional probability: uncondi- tional - regardless of past or future occurrence of other events conditional - what happen if something else happens 46. joint probability P(AB) - multiplication rule: probability that both will occur = P(AB) = P(A|B)*P(B) 47. addition rule P(A or B): = P (A or B) = P (A) + P (B) - P (AB) 48. joint probability of any number of independent events: multiply the proba- bility of the two independent events e.g. P (A or B) = P (A) * P (B) 49. Total probability rule: P(A) = P(A l B•)(P(B•) + P(A l B‚)P(B‚) +....P(A l Bn)P(Bn) Unconditional probability of event, given conditional probabilities. 50. covariance: measure of how two assets move together = Cov (XY) = sum of E * [(X-E(X)] *[(Y-E(Y)] = Cov (XY) = sum of (probability of X AND Y) (.x) (.y) 51. correlation coefficient: covariance divided by the product of the random vari- ables' standard deviations 52. Bayes formula: P(Event | Information) = (P(Information | Event) * P(Event)) / P(Information) 53. labeling: situation where there are n items that can each receive one of k different labels = (n!) / (n1!) * (n2!) * (n3!) * (nn!) 54. combination formula: a special case of labeling when there are only two categories; order doesnt matter nCr = (n!) / (n-r)!*r! 55. permutation formula: specific ordering of a group of objects nPr = (n!) / (n-r)! 56. odds for and odds against: Odds for = P (E) / (1- P(E)) Odds against = [1 - P(E)]/P(E) 57. unique covariance terms in covariance calculation: n(n-1) / 2 58. discrete and continuous random variable: discrete can be counted, continu- ous can take up values between minus and plus infinity 59. cumulative distribution function: computes probabilities less than or equal to a specified value = F (x) 60. binomial random variable: Variable may be defined as the number of success- es in a given number of trials where the outcome can be either a success or failure 61. bernoulli random variable: A binomial random variable for which the number of trials is 1; "mini-experiment" 62. binomial probability: if x has a binomial distribution with n observations an probability p of success on each observation: P(x = k) = (n! / (k! * (n-k)!)) * p^k * (1-p) ^(n-k) 63. tracking error: The difference between the total return on the portfolio and the total return on the benchmark against which its performance is measured 64. continuous uniform distribution: Distribution where probability of success is the area under the graph within a range defined by upper and lower limits 65. multivariate distribution: A probability distribution that specifies the probabili- ties for a group of related random variables. 66. z-value: (observed value - mean value) / standard deviation 67. shortfall risk: probability that a portfolio value will fall below a particular value over a given time period 68. Roy's safety-first criterion: optimal portfolio minimizes the probability that the return of the portfolio falls below some minimum acceptable level. (threshold level). SFR is the number of standard deviation below the mean. The portfolio with the larger SFR has the lower probability of returns below the threshold return = (E (Rp) - Rl ) / .p 69. lognormal distribution: generated by the function c^x where X is normally distributed. It's skewed to the right and is bounded from below by zero so that it is useful for modelling asset prices 70. monte carlo simulation: a technique based on the repeated generation of one or more risk factors that affect the security values, in order to generate a distribution of security values 71. historical simulation: is based on actual changes in value or actual changes in risk factors over some prior period 72. effective annual rate (continuous): = e^i - 1 for holding period return (HPR), the equivalent continuously compounded rate over the period is ln (1+HPR) 73. simple random sampling and systematic sampling: simple random sam- pling: selecting a sample in such a way that each item or person in the population being studied has an equal change of being selected

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Publié le
5 novembre 2024
Nombre de pages
15
Écrit en
2024/2025
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CFA Level 1: Quant Formulas,
Workings

1. nominal risk free rate = real risk free rate + expected inflation
2. required interest rate on a security = nominal risk free rate + default risk premium
+ liquidity premium + maturity risk premium
3. EAR or APY= (1+periodic rate)^m - 1

always higher than annual percentage rates (not compounded)
4. ordinary annuity: cash flows that occur at the end of each compounding period
5. annuity due: payments or receipts occur at the beginning of each period
6. PV of Perpetuity: Payment/interest rate
7. Effect of increase in the frequency of compounding rates: increases FV,decreases PV
8. amortization schedule: interest component = interest rate * beginning balanceprincipal component
= payment - interest component
ending balance = period's beginning balance (last period's ending balance) - prin-cipal component
9. holding period return: (ending value-beginning value) / beginning value OR(Ending value /
beginning value) - 1
10. time-weighted rate of return: The compound rate of growth of one unit of currency invested in a
portfolio during a stated measurement period; a measure ofinvestment performance that is not sensitive to
the timing and amount of withdrawalsor additions to the portfolio. Also a geometric mean return
11. money weighted return: IRR based on cash inflows and outflows
12. Bank discount yield: RBD = D/F * 360/t Where: D = dollar discount from facevalue, F = face
value, T = days until maturity, 360 = days in a year

US T-Bills are quoted on a bank discount basis
13. holding period yield: Holding Period Return = (ending value/beginning value)
-1

EAY^t/365 - 1

total return an investor earns between the purchase date and the sale or maturitydate
14. effective annual yield: EAY = (1 + HPY)^365/t - 1 where t is days to maturity.Remember that
EAY > bank discount yield, for three reasons: (a) yield is based onpurchase price, not face value, (b) it
is annualized with compound interest (intereston interest), not simple interest, and (c) it is based on a
365-day year rather than 360 days. Be prepared to compare these two measures of yield and use these
threereasons to explain why EAY is preferable.






, CFA Level 1: Quant Formulas,
Workings

15. money market yield (Rmm): = HPR * (360/days until maturity)
16. bond equivalent yield: = Semiannual Yield * 2

semiannual yield needs to be compounded
17. Descriptive statistics: used to summarize the important characteristics of largedata sets
18. Inferential statistics: a sample, pertain to the procedures used to make fore-casts, estimates or
judgement about a large set of data
19. nominal scale / categorical: level of measurement with least information, ob-servations are
classified or counted with no particular order
20. ordinal scale: level of measurement, categorized with respect to specifiedcharacteristic
21. interval scale: provides relative ranking like ordinal scale plus assurance thatthe difference
between the scale values are equal e.g. temperature

however measurement of 0 does not necessarily indicate the total absence of whatwe are measuring -
e.g. 30 c is not three times as hot as 10 c
22. ratio scale: ratio scales provide ranking and equal difference between scalevalues and a true
zero point as the origin e.g. measurement of money
23. difference between parameter and sample statistic: parameter is used forpopulation
sample statistic is used for sample
24. modal interval: For any frequency distribution, the interval with the greatestfrequency
25. relative frequency: dividing the absolute frequency of reach return by the totalnumber of
observations
26. mode: the value that occurs most frequently in a data set

unimodal: one value that happens most frequent
bimodal, trimodal: two or three values happen the most frequent
27. geometric mean: Compounded annual rate of return for an investment, har-monic mean <
geometric mean < arithmetic mean

= (X1 * X2 * X3 * Xn) ^1/n
28. harmonic mean: N/[(1/X1)+(1/X2)+(1/X3)..etc.] *used for computations such asaverage cost of
shares purchased over time--average price per share

harmonic mean < geometric mean < arithmetic mean
29. measures of location: (n+1) * y/100
$8.39
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