Performance Eval & Attribution Flashcards

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1
Q

Simple Portfolio Return Decomp

A
P = M + S + A
M = market return
S = investment style (B-M, bench rel to mkt)
A = active investment decisions
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2
Q

Seven Properties of a Valid Benchmark

A
  1. Specified in advance
  2. Appropriate
  3. Measurable
  4. Unambiguous
  5. Reflective of the manager’s current investment opinions
  6. Accountable (ownership by the manager)
  7. Investable
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3
Q

Seven Benchmark Types

A

“1. Absolute (return benchmark)

  1. Manager universes - usually median manager (only Measurable, BAD benchmark)
  2. Broad market indices
  3. Style Indices
  4. Factor-based model
  5. Returns-based
  6. Custom security-based (most appropriate)”
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4
Q

Six Tests of Benchmark Quality

A

“1. Minimal systematic bias

  1. Low tracking error
  2. Similar risk characteristics
  3. High coverage ratio
  4. Low benchmark turnover
  5. Positive active positions (enough liquidity in members to take active positions)”
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5
Q

Hedge Fund Benchmarks

A

”. Long-only benchmark is inapprpriate
. Measure sum of returns on individual positions (value-added return)
. Sharpe ratio (but stdev in denom not likely appropriate)
. Create separate long/short benchmarks”

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6
Q

Six Levels of Macro Attribution Analysis

A

“1. Net contributions

  1. Risk-free asset
  2. Asset Categories (pure index fund/index)
  3. Benchmarks (investment style - val/growth)
  4. Investment Managers (Active decision)
  5. Allocation Effects (““Plug value””)”
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7
Q

Micro Attribution Analysis

A

“R_v = (w_pj-w_bj)(R_bj - R_b) ““pure sector allocation”” +
w_bj(R_pj - R_bj) ““within sector selection”” +
(w_pj - w_bj)(R_pj - R_bj) ““alloc/selec interaction”””

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8
Q

Fixed-Income Performace Attribution

A

“1. External interest rate effects (passive)

a. expected
b. unexpected
2. Interest rate management effect (active)
3. Other management effects (active)
a. sector or quality
b. bond selection
c. transaction costs
4. Trading activity (active - plug value)”

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9
Q

Risk-Adjusted Return Measures

A

“1. Alpha = R_p - (R_f + Beta_p(R_mkt - R_f))

  1. Treynor Meas. = (R_p - R_f)/Beta_p (systematic risk)
  2. Sharpe Meas. = (R_p - R_f)/sigma_p (total risk)
  3. M^2 = R_f + ((R_p - R_f)/sigma_p)sigma_mkt
  4. IR = (R_p - R_b)/sigma_te = alpha/tracking error”
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10
Q

Quality Control Hypothesis Test

A

“H_0: Manager fails to add value
H_1: Manager adds value
Type 1 error: reject the null when it’s true
Type 2 error: fail to reject when it’s false
Type 1 (you fail to get rid of non-performing managers)
Type 2 (you get rid of outperforming managers)”

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11
Q

Global Portfolio Decomposition

A

“R_p = CG + CF + Curr
CG: capital gains in local curr.
CF: cash flow yield in local curr.
Curr: return from curr movements = e(1+CG+CF)
e= chg local ccy relative to domestic ccy “

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12
Q

Global Portfolio Attribution

A

“Expands upon decomposition when given benchmark
R_p = benchmark domestic return + market alloc + security selection + yield contrib + currency alloc =
sum( w_jb R_jbd ) + sum( (w_jp - w_jb) R_jbl ) + sum(w_jp(R_jpl - R_jbl)) + sum(w_jp I_jl) + sum(w_jp C_jp - w_jb C_jb)
C_jp = R_jpd - R_jpl
C_jb = R_jbd - R_jbl”

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13
Q

Multi-Period Active Return

A
"R_A2 = R_a1(1+R_b2) + R_a2(1+R_p1)
R_A2: active return over two periods
R_a1: act ret over period 1
R_b2: benchmark return over period 2
R_p1: portfolio return over period 1"
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14
Q

Order-Driven Submarkets

A

1) ECN - Electronic Crossing Network
2) Auction markets
3) Automated auction markets
4) Brokered market, or “upstairs market”

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15
Q

Dealer “adverse selection”

A

When a dealer has less information than a trader in the transaction of a security, and is thus at a disadvantage in the trade.

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16
Q

Criteria for Market Quality

A

1) Liquidity
2) High Transparency (participants can easily view info on quotes and trades)
3) Assurity of Completion

17
Q

Costs of Trading

A

Explicit (commissions, taxes, etc)
Implicit
Market impact (price impact)
Opportunity costs (unrealized profit or loss - caused by failure to execute)
Delay or slippage costs (inability to complete trade due to size and liquidity)

18
Q

Implementation Shortfall

A

The return on a paper portfolio minus the actual portfolio return.

19
Q

Four Components of Implementation Shortfall

A

1) Explicit costs (commissions, taxes, etc) - entire order
2) Delay (slippage) costs - filled amount
3) Realized profit/loss - filled amount
4) Missed opportunity cost - unfilled amount

20
Q

VWAP (for trade cost measurement)

A

Value-Weighted-Average-Price
Can be gamed by a trader – not so good for evaluating a trader’s execution.
OK for small trades in a non-trending market

21
Q

Market-Adjusted-Implementation-Shortfall

A

Adjustment to IS for market movement. Adjustment is just

beta x R_m.

22
Q

Types of Traders

A

Information motivated - time sensitive info - Time - Market order
Value motivated - security misvaluation - price - limit order
liquidity motivated - realloc and liq - time - market order
passive - realloc and liq - price - limit order

23
Q

Four Classes of Algorithmic Trading

A
Logical Participation Strategies
 Simple (VWAP, TWAP, Pct of Volume)
 Implementation Shortfall
Opportunistic Strategies
Specialized Strategies
24
Q

Best Execution in Trade Mgmt Guidelines

A

1) intrinsically tied to portfolio-decision value, can’t be evaluated independently.
2) prospective, statistical, and qualitative can’t be known with certainty ex-ante
3) must be measured over time and on an ex-post basis.
4) trading is a process, not an outcome.

25
Q

3 Rebalancing Strategies

A

1) Buy and Hold
2) Constant Mix
3) CPPI (Constant Proportion Portfolio Insurance)

26
Q

5 Factors for Setting Corridor Widths

A

1) increased transaction costs (+ increased width)
2) increase risk tolerance of tracking risk compared to strategic asset alloc (+)
3) increase correlation with other asset classes (+)
4) Increase Volatility (- decrease width)
5) Increase Volatilities of other assets (-)

27
Q

Buy-and-Hold Characteristics (stock and cash)

A

Asset value linear function of stock market value

$ value in stock = port value - floor (cash) value

28
Q

Constant Mix Characteristics (stock and cash)

A

Contrarian strategy (stocks rise, sell. Fall, buy.)
No floor value (little downside protection)
performs poorly in trending markets
performs well in volatile flat markets
“concave payoff curve”
$ value in stock = M*(port value), M < 1 (floor value = 0)
taxes and costs high because of turnover

29
Q

CPPI Characteristics (stock and cash)

A

momentum strategy (performs well in trending markets)
performs poorly in flat, volatile market
“convex payoff curve”
$ value in stock = M*(port value - floor value), M > 1
taxes and costs high because of turnover

30
Q

Risk Tolerance for Rebalancing Strategies

A

1) Buy and Hold: varies linearly with wealth, zero risk tol at floor value (no stock left)
2) Constant Mix: Absolute risk tol varies with wealth, relative risk tol remains constant with wealth
3) CPPI: risk tol varies directly with wealth, zero risk tol when cushion=0

31
Q

Return for Rebalancing Strats

A

1) Good downside protection, between other two in all markets, tax efficient
2) Weak upside potential, no downside protection, good in flat volatile market
3) Good downside protection, good upside potential, poor in flat volatile market

32
Q

Effects on Markets for Rebalancing Strats

A

Buy n Hold: no effect
Constant Mix: if more follow, markets become too stable
CPPI: if more investors follow, markets become more volatile