Portfolio Mgmt. Flashcards

(45 cards)

1
Q

Information Ratio

A

Consistency in active return

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2
Q

Si sube cash que pasa con IR

A

IR baja

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3
Q

Forecasting Ability

A

Information Coefficient (Expected vs Realized RA)

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4
Q

Value Added

A

Correlation( Realized RA y Wi)

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5
Q

Ability to put ideas in action

A

Transfer Coefficient (Expected RA y Wi)

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6
Q

Sources of tracking error

A

Fees, representative sample, use of depositary receipts, valuation time

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7
Q

Mayor bid-ask spread

A

Different markets, no hedging, use of futures, illiquidity, pocos market makers, low order flow

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8
Q

Accurate NAV

A

Mismo mercado, less activity, volatility y liquidity

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9
Q

Fundamental factors

A

attributes of stocks, factors (returns calculated through regression) and betas calculated first

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10
Q

Fixed Income factors

A

Duration, credit, currency

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11
Q

Macroeconomic factors

A

Suprises (actual - predicted), betas calculated at the end

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12
Q

Statistical Models

A

Applied to historical returns to extract factors (minimal assumptions), factors are weighted combinations of securities

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13
Q

VaR

A

Minimun Loss that would be expected at a certain % at certain time (capture market risk)

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14
Q

Historical Simulation Method

A

Representative actual numbers and reprice it con key factors específicos, no constrained by normality y es para todo financial product

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15
Q

Disadvantages of VaR

A

underestimate frequency of extreme events, no toma en cuanta liquidity y disregard of right-tail events

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16
Q

Good expected conditions

A

Require higher rates to induce savings

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17
Q

Volatile GDP growth (uncertainty)

A

Real risk free rate higher

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18
Q

Choice of a benchmark

A

representativo, replication at low cost, weights verifiable

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19
Q

active return assumption

A

financial markets not perfectly efficient

20
Q

Sharpe ratio vs IR

A

unaffected by addition of cash or leverage vs affected (sube cash, baja IR)

21
Q

Creation basket

A

listed securities con disclosure daily at fair value

22
Q

Creation Unit

A

ETF share at market price

23
Q

ETF advantages

A

tax efficiency, shares can be shorted

24
Q

Mutual Funds

A

creates and redeem all shares at closing NAV, holders no protegidos de transaction costs, cant shorted shares

25
Tracking difference
daily return difference
26
Tax event on ETF
By capital gains en rebalancing o reconstitution
27
Investor related risk
lack of understanding of underlying exposures (expectation risk)
28
VaR Historical Simulation Method
Produce daily series of price return, se rankean de menor a mayor y %VaR es el % percentile
29
Montecarlo Simulation
No constrained by any distribution, avoids the complexity, many risk factors
30
VaR Montecarlo Simulation
rank output lowest to highest (VaR 5% es 5 lowest)
31
Conditional VaR
avg loss can I expect if VaR is exceeded
32
Incremental VaR
Cambio de allocation
33
Marginal VaR
effect of a very small change in a position
34
Relative VaR
ex-ante tracking error (active return)
35
Market risks
stock prices, interest rates, fx y commodities
36
VaR vs SS
Market returns (Lookback period representativo vs unrepresentative)
37
Liquidity Gap
Mismatch entre A y L
38
Backtesting Strategy design
Se seleccionan reglas y benchmark, contribution de vol por each factor
39
Backtesting Portfolio Construction
Rolling Window (rebalance and reconstitution)
40
Survivorship and look ahead (staled data) bias
Should use point in time data
41
Data snooping (P-hacking)
Picking best performance strategy
42
Simulation analysis
No linear, sampling actual returns and assign distribution one point in time
43
Montecarlo Backtesting
each variable is assigned a statistical distribution (no use single point historical returns) use regression and distribution fitting
44
Correlation in Montecarlo backtesting
distribution of return multivariate normal
45
Backtesting sensitivity analysis
Multivariate t-student