CFA Formula Booklet 1
Level 1. CFA® Program. Page 2. TIME VALUE OF MONEY. 1. Nominal interest rate FINANCIAL ANALYSIS TECHNIQUES. ACTIVITY RATIOS: Centre for Financial Learning ...
LEVEL 1: QUANTITATIVE METHODS
❖ is a selective summary of the corresponding Reading in your CFA® Program Curriculum. ❖ provides place for your own notes
Quantitative Methods (1) - CFA Institute
b describe differences in voting rights and other ownership characteristics among different equity classes;. STUDY SESSION. 12. Page 33. 2022 Level I CFA
Quantitative Methods (1) - CFA Institute
b describe differences in voting rights and other ownership characteristics among different equity classes;. STUDY SESSION. 12. Page 33. 2022 Level I CFA
Quantitative Methods (1) - CFA Institute
Quantitative Methods (1). This study session introduces quantitative concepts and n calculate and interpret an updated probability using Bayes' formula; o ...
Quantitative Methods
□ calculate and interpret beta. © CFA Institute. For candidate use only. Not for distribution. Page 8. Portfolio Management. 8. □ explain the capital asset
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2023 CFA Program: Level I Errata
nPr = n!/(n − r)!. Common Probability Concepts (Quant LM4). • The equation above Exhibit 4 (page 244 of print) should read:.
CFA 2019 - Level I Schwesers Quicksheet
(significance level 1% 0.5% in each tail) continued on next page Page 2. QUANTITATIVE METHODS continued... Null and Alternative Hypotheses. Null ...
PERFORMANCE ATTRIBUTION - CFA Institute Research Foundation
In a bottom-up security-level attribution approach
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to experience the difference that we can make to your CFA level I Prep. QUANTITATIVE METHODS. FVN = PV (1+ r)N. PV= FV. (1+ r)N.
CFA Formula Booklet 1
Handbook for. Formulas. List of formulas for. Level 1. CFA® Program Accelerated depreciation- double declining balance method. DDB depreciation=.
CFA 2019 - Level I Schwesers Quicksheet
VII(A) Conduct as Participants in CFA Institute. Programs. (significance level 1% 0.5% in each tail) ... QUANTITATIVE METHODS continued.
Quantitative Methods (1) - CFA Institute
This study session introduces quantitative concepts and techniques used in m calculate and interpret an updated probability using Bayes' formula;.
Quantitative Methods (1) - CFA Institute
2019 Level I CFA Program Curriculum. Quantitative Methods (1). This study session introduces quantitative concepts and techniques used in financial.
Quantitative Methods (2) - CFA Institute
Page 1. 2019 Level I CFA Program Curriculum. © 2018 CFA Institute. All rights reserved. follows along with techniques to test a hypothesis.
Quantitative Methods - I
Quantitative Methods - I EduPristine CFA - Level – I. Coverage of Reading 5. 1. ... No. of period (T used in the formula) need to be increased.
Quantitative Methods 3 Level II 2020
CFA® Preparation Probabilistic Approaches: Scenario Analysis Decision ... Here “t” is the independent variable that takes the values 1
PERFORMANCE ATTRIBUTION - CFA Institute Research Foundation
In a bottom-up security-level attribution approach
Return Attribution
2012 CFA Institute. Exhibit 1 Total Portfolio Return Attribution Analysis ... Note that in Equation 15 the allocation effect at the portfolio level ...
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exams since I switched over to your materials."- Bijan, USAQUANTITATIVE METHODS
FVN = PV (1+ r)N
PV = FV
1 + r)NPVAnnuity Due = PVOrdinary Annuity (1 + r)
FVAnnuity Due = FVOrdinary Annuity (1 + r)
PV(perpetuity) =PMT
I /YFVN = PVe rs * N
EAR = (1 + Periodic interest rate)N- 1
wher e: r BD = the annualized yield on a bank discount basis. D = the dollar discount (face value - purchase price)F = the face value of the bill
t = number of days remaining until maturityr BD =D 360 F t
where: P0 = initial price of the investment.
P1 = price received from the instrument at maturity/sale.
D1 = interest or dividend received from the investment.HPY = P1 - P0 + D1 = P1 + D1 - 1
P0 P0
where C F t = the expected net cash flow at time tN = the investment's projected life
r = the discount rate or appropriate cost of capital C Ft 1 + r)t t=0NNPV =Net Present Value
B a nk Discount Yield Holding Period YieldThe Future Value of a Single Cash Flow T he Present Value of a Single Cash FlowPresent Value of a Perpetuity
Continuous Compounding and Future Values
E f f ective Annual Rates© 2011 ELAN GUIDES
3QUANTITATIVE METHODS
EAY= (1 + HPY)365/t - 1
wher e:HPY = holding period yield
t = numbers of days remaining till maturity RMM = HPY (360/t)R
MM = 360 rBD
360 - (t rBD)
HPY = (1 + EAY)t/365 - 1
BEY = [(1 + EAY) ^ 0.5 - 1]
Where,
x i = is the ith observation. with Xi > 0 for i = 1, 2,..., N. E f f ective Annual YieldMoney Market Yield
B o nd Equalent YieldPopulation Mean
Sample Mean
Geometric Mean
Harmonic Mean
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4QUANTITATIVE METHODS
Range = Maximum value - Minimum value
Where:
n = number of items in the data set = the arithmetic mean of the sample where: y = percentage point at which we are dividing the distribution L y = location (L) of the percentile (Py) in the data set sorted in ascending order where: X i = observation i = population meanN = size of the populationPercentiles
RangeMean Absolute Deviation
Population Variance
Population Standard Deviation
where: n = sample size.Sample variance =Sample Variance
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5QUANTITATIVE METHODS
where: = mean portfolio return = risk-free return = standard deviation of portfolio returns s s where: s = sample standard deviation = the sample mean. C o efficient of variationSample Standard DeviationCoefficient of Variation
Sharpe Ratio
S K =n i = 1(X i - X)3 s3n n 1 n 2 As n becomes large, the expression reduces to the mean cubed deviation. where: s = sample standard deviation n n i = 1(X i - X)3 s3SK Sample skewness, also known as sample relative skewness, is calculated as:© 2011 ELAN GUIDES
6QUANTITATIVE METHODS
Where the odds for are given as 'a to b', then:Odds for an eventWhere the odds against are given as 'a to b', then:Odds for an eventSample Kurtosis uses standard deviations to the fourth power. Sample excess kurtosis is
calculated as: For a sample size greater than 100, a sample excess kurtosis of greater than 1.0 would be considered unusually high. Most equity return series have been found to be leptokurtic.K E =n i = 1(X i - X)4 s4n(n + 1) n 1 n 2 n 33(n - 1)2
n 2 n 3 where: s = sample standard deviation n n i = 1(X i - X)4 s4KE 3As n becomes large the equation simplifies to:© 2011 ELAN GUIDES
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