QM - Formulas Flashcards

(67 cards)

1
Q

Components of Interest Rates

A
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2
Q

Sample Mean

A
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3
Q

Geometric Mean Return

A

The geometric mean is often used to compute the average rate of return over a series of periods or to calculate the growth rate.

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4
Q

Harmonic Mean

A
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5
Q

Holding Period Return (HPR)

A
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6
Q

(IRR) Internal Rate of Return (Money-Weighted Return) (IRR)

A
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7
Q

Continuously Compounded Return (‘1’ Holding Period)

A
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8
Q

Continuously Compounded Return (‘T’ Holding Periods)

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9
Q

Present Value (Lump Sum; More Than One Compounding Period Per Year)

A
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10
Q

Annualized Return

A
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11
Q

Leveraged Return

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12
Q

Future Value (Lump Sum)

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13
Q

Future Value (Continuous Compounding)

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14
Q

Present Value (Lump Sum)

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15
Q

Present Value (Continuous Compounding)

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16
Q

Present Value (Ordinary Annuity)

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17
Q

Present Value (Perpetuity)

A

Remember! PV of perpetuity is always one period before the first payment!

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18
Q

Bond Price (Using Market Discount Rate)

A
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19
Q

Dividend Discount Model (General Formula)

A
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20
Q

Dividend Discount Model (Investment Horizon: 1 Year)

A
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21
Q

Dividend Discount Model (Investment Horizon: “n” Years)

A
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22
Q

Gordon Growth Model (Value)

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23
Q

Intrinsic Value in Year “0” (Two-Stage Dividend Discount Model)

A
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24
Q

Geometric Mean

A

The geometric mean (G) is always less or equal to arithmetic mean (A) and greater or equal to harmonic mean (H):
H≤G≤A

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25
Position of Percentile
26
Mean Absolute Deviation (MAD)
27
Sample Variance
Variance is the mean of the squared deviations of individual observations around the mean.
28
Sample Standard Deviation
29
Sample Target Semideviation
30
Coefficient of Variation
31
Sample Covariance (Definition)
32
Sample Correlation Coeficient
33
Expected Value
34
Definition of Variance
35
Variance of Random Variable (With Probability)
36
Conditional Expected Value
37
Total Probability Rule (Expected Value)
38
Bayes' Formula
39
Portfolio Expected Return
40
Definition of Covariance
41
Portfolio Variance (3 Assets)
42
Portfolio Variance ('n' Assets)
43
Covariance (Using Joint Probability Function)
44
Safety-First Ratio
45
Standard Normal Random Variable
46
Continuously Compounded Return ('1' Holding Period)
47
Variance ('T' Holding Periods; Continuously Compounded Return)
48
Continuously Compounded Return ('T' Holding Periods)
49
Standard Error of Sample Mean
50
Sample Variance
51
Confidence Interval for Population Mean (Normal Distribution)
52
Confidence Interval for Population Mean (t-Distribution)
53
Standard Error of Sample Mean (Bootstrapping)
54
Test Statistic
55
Standard Error of the Sample Mean
56
Test Statistic for Hypothesis Tests Concerning Single Population Mean (t-Distribution)
57
Test Statistic for Hypothesis Tests Concerning Single Population Mean (z-Test)
58
Test Statistic for Hypothesis Tests of the Difference Between Two Population Means (Samples Independent; Variances Assumed Equal but Unknown; Normally Distributed Populations) Add notestar content check off when done
59
Standard Error of Mean Difference
59
Test Statistic for Hypothesis Tests of the Difference Between Two Population Means (Samples Independent; Variances Assumed Unequal and Unknown; Normally Distributed Populations)
60
Sample Mean Difference
61
Sample Variance of Differences
62
Test Statistic for Hypothesis Tests Concerning Mean Difference (Normally Distributed Populations, Unknown Population Variances)
63
Test Statistic for Hypothesis Tests Concerning Value of Population Variance (Normally Distributed Population)
64
Test Statistic for Hypothesis Tests Concerning Differences Between Variances of Two Normally Distributed Populations
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