CAIA L2 - 5.3 - Liquidity and Funding Risks Flashcards

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1
Q

List and Describe

Three terms that are
used to describe value
(for futures)

5.3 - Liquidity and Funding Risks

A

Trading level = funding + notional funding

* Trading level: the amount of capital traded in an active risk account, as well as the denominator used to calculate leveraged returns. Management and incentive fees are also calculated based on trading level. The trading level determines the size of the positions the CTA takes in futures markets and is the account value used to translate profits and losses into percentage returns (PnL).

* Funding level: the total cash or collateral posted by the investor to support the trading level. The minimum funding level is the required total margin collateral.

* Notional funding: the added exposure beyond the trading level that is allowed by the CTA. Investors use notional funding to leverage their managed futures account to higher trading levels. This amount is not deposited or borrowed, but rather, it is a good-faith deposit and is therefore considered a low cost means of utilizing leverage.

5.3 - Liquidity and Funding Risks

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2
Q

Define

Cross-margin benefit

5.3 - Liquidity and Funding Risks

A

Benefit of less margin requirement

It exists when a CTA has many positions in futures contracts that are traded on the same exchange so that the total amount of margin required is less than the sum of the margins required on the individual contracts

5.3 - Liquidity and Funding Risks

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3
Q

Define

Capital at risk (CaR)

5.3 - Liquidity and Funding Risks

A

total loss incurred
if each position in a trader’s portfolio hits its stop-loss price level
on a particular day

5.3 - Liquidity and Funding Risks

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4
Q

Formula

Parametric VaR

5.3 - Liquidity and Funding Risks

A

VaR’α’=(α × σ’t’)+ μ
α = critical Value (<0)
σ = volatility ; standard deviation
μ = average return

Pr{Z≤α}=1– confidence level
α => z=1.28 / 1.65 / 2.33 1-tail 90% / 95% / 99%

5.3 - Liquidity and Funding Risks

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5
Q

Define

Scenario analysis
(or stress test)

5.3 - Liquidity and Funding Risks

A

Simulation
used to estimate how a portfolio will perform
under various market situations

  • combination of actual historical events and events that would come from simulated financial stress

Stress test
can simulate highly adverse scenario (5+ sigma price movement)

5.3 - Liquidity and Funding Risks

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6
Q

Define

Omega Ratio

5.3 - Liquidity and Funding Risks

A

Ω = (upper partial moment) / (lower partial moment)
Ω = [∑max(Ri–T,0) / N] / [∑max (T– Ri,0) / N]
(tanto numerador quanto denominador são positivos (distância vs target return)

ômega = 1 => likely output for a symmetrical distribution

A portfolio’s omega will be reduced by:
* higher volatility,
* higher kurtosis, and
* lower skewness

5.3 - Liquidity and Funding Risks

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7
Q

Define

Two reasons
a smoothed return series
may not be unsmoothed by arbitrageurs

5.3 - Liquidity and Funding Risks

A

1. True trading opportunities may not exist. Appraisals are price indicators that do not represent either bids or offers to buy or sell.

2. Substantial transaction costs or barriers to arbitrage may prevent arbitrageurs from taking advantage of these opportunities. The expense (in terms of dollars and time) of taking advantage of these opportunities may exceed the potential gains. These costs include sales commissions, transfer taxes, financing costs, inspection costs, legal costs, et cetera. Barriers such as redemption fees on short-term positions are helpful in reducing potential arbitrage opportunities.

Unsmoothing may not be needed for assets with:
* minimal trading barriers,
* low transaction costs, and
* tradable prices because of the potential for arbitrage opportunities

5.3 - Liquidity and Funding Risks

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8
Q

Explain

Price Smoothing Problems

5.3 - Liquidity and Funding Risks

A

Price smoothing
=>
lower standard deviations (volatilities), correlations with the market, and reported betas
=>
risk is understated
=>
higher fund allocations
=>
appropriate hedge ratios ,
diversification , and
risk management strategies may be negatively impacted
‘–
Obs:
Long-term mean returns are one statistic that should not be substantially impacted by price smoothing

5.3 - Liquidity and Funding Risks

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9
Q

Formula

Real data as a function of Smoothed data:

  • True price as a function of reported prices
  • True Returns as a function of reported returns
  • True Variance as a function of reported variance
  • True Beta as a function of reported beta

5.3 - Liquidity and Funding Risks

A

P’t,true’ = P’t–1,reported’ +
[(1/⍺) × (P’t,reported’ – P’t–1,reported’)]

R’t,true’ ≈ (R’t,reported’ – ρ R’t–1,reported’) / (1–ρ)
⍺ = Decay parameter
ρ = autocorrelation
R’t, true’ = estimated true return in period t
R’t, reported’ = reported returns in period t
R’t–1, reported’ = reported returns in period t – 1

σ’true’^2 = σ’reported’^2 ×[ (1+ρ)/(1–ρ) ]

β’true’ = β’reported’ / (1– ρ)

Dica: todos denominadores tem (1-ρ)

⍺ - decay function in a model is used to assign less weight to old valuations and more weight on recent valuations

5.3 - Liquidity and Funding Risks

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10
Q

List

Reasons for
Delayed Price Changes and
Smoothed Prices

5.3 - Liquidity and Funding Risks

A

1. ‘Mix” with not traded recently - A price index is based on prices from recent transactions for index components, and older prices may be used for some components that have not traded recently.
2. Appraisers’ anchoring - Appraisers may be vulnerable to anchoring, where people tend to rely too heavily on previous observations.
3. Biased prices - An efficient market can still produce transaction prices that are biased and result in lagged price responses.
4. Lag between transaction and reporting - There is often a lag between when the price is set on a transaction (such as a house sale) and when the transaction closes and is reported.

5.3 - Liquidity and Funding Risks

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11
Q

Identify

3 steps
of unsmoothing

5.3 - Liquidity and Funding Risks

A
  1. Specify the form of the autocorrelation
  2. Estimate the parameters of the assumed autocorrelation process
  3. Two reported returns must be inserted into the model, along with the estimated correlation coefficient in place of ρ

Dica:
Lembrar da fórmula do retorno unsmoothed, que tem os retornos e ρ

5.3 - Liquidity and Funding Risks

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