Trading, Manager Selection And Appraisal Flashcards

1
Q

Capture ratio greater than 1

A

Positive assymetry
Convex return profile

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2
Q

Factor model based benchmark

A

Involve relating a specified set of factor exposures to the returns on an account

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3
Q

Returns based attribution

A

Regresses total portfolio returns against major risk factors to identify the active bets of the manager and their impact on active returns

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4
Q

Holdings based attribution

A

Uses beginning of period portfolio holdings to assess the active sector/stock selection bets of the manager and their contribution to active returns

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5
Q

Transaction based attribution

A

Improves upon the holdings based attribution by including the impact of any trades executed during the evaluation period

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6
Q

Micro attribution

A

Analyses the portfolio at the portfolio manager’s level

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7
Q

Macro attribution

A

Analyses investment decisions at the fund sponsor’s level. Commonly used with institutional investing

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8
Q

POV algorithm

A

send orders according to a price participation schedule

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9
Q

liquidity seeking algorithms

A

aim to take advantage of favourable liquidity condiitons when offered by the market

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10
Q

arrival price algortihm

A

seek to trade close to market prices prevailing at the time the order was entered

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11
Q

Smart order routers

A

Algorithms that determine the best destination to route an electronic order to get the best result.
focus on getting the best price or highest probability of execution for limit orders

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12
Q

schedule algo when to use

A

for relatively small orders in liquid markets for managers with less urgency who are concerned with minimizing market impact

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13
Q

when to use liquidity seeking algos

A

for larger orders in less liquid markets with higher urgency while trying to mitigate market impact

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14
Q

when to use arrival price algos

A

relatively small orders in liquid markets for managers who believe prices are likely to move against them during the trade horizon, and therefore wish to trade more aggressively

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15
Q

when dark strategies

A
  • large orders
  • illiquid markets
  • when arrival price and scheduled algos will lead to higher impact costs
  • managers that do not need to execute the order immediately
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16
Q

when SOR algos

A
  • small market orders
  • low market impact
  • low information leakage
17
Q

Clustering

A

Machine learning technique whereby a computer learns to identify which algorithm is optimal for different types of trades based on the key features of the trades
- grouping similar types of trade

18
Q

high frequency market forecasting

A

attempts to model short term market direction

19
Q

pretrade benchmarks

A
  • decision price
  • previous close
  • opening price
  • arrival price
20
Q

Intraday benchmark

A
  • twap
  • vwap