Quants Flashcards

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1
Q

What is the total probability formula?

A

P(A) = P(AB) + P(ABc)

Bc is complement to B

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2
Q

How to calc degrees of freedom?

A

Df = 1 - n

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3
Q

How to find confidence interval?

A

1) Find Df
2) Find confidence range from t-distribution and Df
3) Use formula:
Mean +/- t-stat x dev/root n

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4
Q

How to calc market determined interest rate?

A

Mkt Det int = Risk free + inflation premium + risk premiums

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5
Q

How to calc z-score? Also called standardizing

A

Z = (observation - mean) / StD

Also called standardizing

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6
Q

How to calc Standard deviation?

A

root(variance)

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7
Q

Parametric vs. non-parametric

A

Para = assumes defined parameters

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8
Q

What is Chebyshev’s inequality?

A

Chebyshev’s = % in k StDs = 1 - (1 / k^2)

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9
Q

How to calc holding period return?

A

HPR = (P1 - P2 + D1) / P0

normal return

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10
Q

Calc odds for Z

A

OddsZ = P(Z) / 1 - P(Z)

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11
Q

Calc portfolio StD

A

Portfolio StD = [ (Wa^2)(StDa^2)(Ra) + (Wb^2)(StDb^2)(Rb) + 2(Wa)(Wb)(Covar) ] ^0.5

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12
Q

How to calc geometric mean return?

A

Geometric = nRoot (1 + Rn) - 1

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13
Q

Which way is a lognormal distribution skewed?

A

Right (positively/hump to the left)

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14
Q

How to calc Safety First Ratio?

A

SFRatio = (Expected Return - Threshold Return) / StD

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15
Q

What is the Money weighted return also known as?

A

IRR

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16
Q

What’s Bayes Formula?

A

P(A | B) = [P(B | A) x P(A)] / P(B)

17
Q

How to calc standard error?

A

Standard error = PopStD / nRoot

18
Q

How to calc Bank Discount Yield?

A

BDY = (D/F) x (360/t)

19
Q

What is a type 1 error? Type 2?

A

Type 1 = rejecting a true hypothesis

Type 2 = Failing to reject a false

20
Q

What is the covariance formula?

How to find on calc?

A

Covar = JointProbA (Ra - ERa)(Rb - ERb) + JointProbB (Rb - ERa)(Ra - ERb)

Or

Covar = (Correlation)(StDa)(StDb)

CAN FIND ON CALC
Data function
Sigma = StD
Correlation = r

21
Q

What does a wider confidence interval mean?

A

More confidence

22
Q

How to calc Sharpe Ratio?

A

Sharpe = (mean return portfolio - mean return Rf) / Portfolio StD