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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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Sign up for our free trial now to experience the difference that we can make to your CFA level I Prep. QUANTITATIVE METHODS. Page 10. Bayes' Formula. The ...



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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QUANTITATIVE METHODS

FVN = PV (1+ r)N

PV = FV

1 + r)N

PVAnnuity Due = PVOrdinary Annuity (1 + r)

FVAnnuity Due = FVOrdinary Annuity (1 + r)

PV(perpetuity) =PMT

I /Y

FVN = 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: P

0 = initial price of the investment.

P

1 = price received from the instrument at maturity/sale.

D

1 = 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 t

N = the investment's projected life

r = the discount rate or appropriate cost of capital C Ft 1 + r)t t=0N

NPV =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 Flow

Present Value of a Perpetuity

Continuous Compounding and Future Values

E f f ective Annual Rates

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3QUANTITATIVE METHODS

EAY= (1 + HPY)365/t - 1

wher e:

HPY = holding period yield

t = numbers of days remaining till maturity R

MM = HPY (360/t)R

MM = 360 rBD

360 - (t rBD)

HPY = (1 + EAY)t/365 - 1

B

EY = [(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 Yield

Money Market Yield

B o nd Equalent Yield

Population 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 mean

N = size of the populationPercentiles

Range

Mean 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 Deviation

Coefficient 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:

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6QUANTITATIVE METHODS

Where the odds for are given as 'a to b', then:Odds for an event

Where 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 3

3(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:

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