Trading, Performance Evaluation, and Manager Selection Flashcards
Discuss motivations to trade and how they relate to trading strategy of Profit seeking.
- High alpha decay → high urgency
- Low alpha decay → low urgency
- May use dark pools to mitigate information leakage
Discuss motivations to trade and how they relate to trading strategy of Risk management/hedging.
Derivatives could be used if contracts exist and mandate permits
Discuss motivations to trade and how they relate to trading strategy of Cash flow needs.
- Cash drag on inflows into funds with illiquid holds could be mitigated through equitization strategies
- Client redemptions are usually based on closing NAV (hence, managers will typically target closing prices as execution benchmarks)
Discuss motivations to trade and how they relate to trading strategy of Corporate actions/index reconstitutions/margin calls.
- Income may need reinvesting
- Index reconstitutions are usually based around closing prices (hence, managers will typically target closing prices as execution benchmarks)
- Margin calls will likely require high urgency
Discuss inputs to the selection of a trading strategy.
Key factors that dictate the appropriate trading strategy are as follows:
* Order characteristics: These are side, quantity, and percentage of ADV.
* Security characteristics: These are type, short-term alpha, volatility, and liquidity.
* Market conditions: A crisis can adversely impact volatility and liquidity.
* Individual risk aversion: Higher risk aversion implies higher urgency to lower execution risk.
The trader’s dilemma: is balancing the market impact cost of trading too quickly versus the execution risk of trading too slowly.
The Reference Price benchmarks for Pretrade execution.
- Decision price
- Previous close: often used by quantitative managers
- Opening price: often used by longer-term fundamental managers
- Arrival price: used by profit-seeking managers
The Reference Price benchmarks for Intraday execution.
Is based on a price that occurs during the trading period. The most common intraday benchmarks used are:
VWAP: used when managers want to participate with volume
TWAP: used when managers want to trade evenly and mitigate the impact of outliers, and for markets with unpredictable trading volumes
The Reference Price benchmarks for Post-trade execution.
Closing price: used by index-tracking managers
Price target benchmarks: usually based on the manager’s view of fair value
The Reference Price benchmarks for Price target execution.
Usually based on the fair value estimate of an active manager
Recommend and justify a trading strategy (given relevant facts).
The primary goal of a trading strategy is to:
* balance expected costs
* risks, and alpha decay in line with the manager’s objectives
* risk aversion
* other constraints
Higher touch—principal
Large urgent trades in illiquid securities
Higher touch—agent
Large trades in illiquid securities that are less urgent
DMA
Small trades in liquid electronic markets
Profit-seeking algorithms
Will determine what to buy and sell and then implement those decisions in the market as efficiently as possible.
Used by electronic market makers, quantitative funds, and high-frequency traders
Scheduled algorithms
Are appropriate for orders in which portfolio managers or traders:
* do not have expectations of adverse price movement during the trade horizon
* have greater risk tolerance for longer execution time periods
* more concerned with minimizing market impact.
Scheduled algorithms:
* POV
* VWAP
* TWAP
Relatively small orders in liquid electronic markets for managers with less urgency (portfolio rebalancing)
Liquidity-seeking algorithms
Are appropriate for large orders that the portfolio manager or trader would like to execute quickly without having a substantial impact on the security price.
Larger orders in less liquid electronic markets with higher urgency, or when liquidity is sporadic
Arrival price algorithms
Are used for orders in which the portfolio manager or trader believes:
* prices are likely to move unfavorably during the trade horizon
* risk-averse and wish to trade more quickly to reduce the execution risk
Relatively small orders in liquid electronic markets with high urgency (profit-seeking managers)
Dark strategies
These algorithms are used when order size is:
* large relative to the market volume
* trading in the open market using arrival price or WAP strategies would lead to significant market impact
* trading securities that are relatively illiquid or have relatively wide bid-ask spreads
* trades in which the trader or portfolio manager does not need to execute the order in its entirety
Large orders in illiquid markets and arrival price or scheduled algorithms would likely lead to high market impact
SORs
Small market orders with low market impact where the market can move quickly, and small limit orders with low information leakage where there are multiple potential execution venues
Contrast key characteristics of the following markets in relation to trade implementation: equity, fixed income, options and futures, OTC derivatives, and spot currency.
Equities: Mostly traded electronically on lit exchanges and dark pools. Algorithmic trading.
Fixed-income securities: dealer-driven, high-touch principal markets. Clients use electronic RFQ systems to access quotes from dealers. Algorithmic trading is limited to the most liquid on-the-run U.S. Treasuries.
Exchange-traded derivatives: are traded electronically, algorithmic trading is less common. Buy-side traders generally use DMA.
OTC derivatives: traded in high-touch dealer markets. Since the credit crunch, basic OTC derivatives to be centrally cleared.
Spot foreign exchange: trading OTC markets that use both electronic (algorithms and DMA) and high-touch approaches for larger trades.
Explain how trade costs are measured and determine the cost of a trade.
The total implicit and explicit costs of trading are measured by the implementation shortfall
Execution cost: when the execution price is worse than the decision price.
Delay cost: when the arrival price is worse than the decision price.
Trading cost: when the execution price is worse than the arrival price.
Opportunity cost: unexecuted shares when the closing price is worse than the decision price.
Fixed fees: any explicit commissions or fees incurred in executing the trade.
Evaluate the execution of a trade. What is the market-adjusted cost?
To not reward or punish a manager for the market movement over the trading horizon, market-adjusted cost removes the cost associated with the market move as follows:
market-adjusted cost (bps) = arrival cost (bps) − β × index cost (bps)
Evaluate a firm’s trading procedures, including processes, disclosures, and record keeping with respect to good governance.
An asset manager should have a formal written trade policy that clearly sets out its procedure.
Trade policy has four key areas:
1. the meaning of best execution
2. the factors that determine the optimal trading approach
3. a listing of approved brokers and execution venues
4. details of the monitoring processes used by the asset manager
What are the 3 types of markets
Quote-driven (or dealer) markets: are those in which members of the public trade with dealers rather than directly with one another.
Order-driven markets: are those in which members of the public trade with one another without the intermediation of dealers.
Brokered markets: are those in which the trader relies on a broker to find the other side of a desired trade.
What is an execution algorithm?
is tasked with transacting an investment decision made by the portfolio manager.
What is a TWAP algorithm?
Slices the order into smaller amounts to send to the market following an equal-weighted time schedule.
TWAP algorithms will send the same number of shares and the same percentage of the order to be traded in each time period.